business analysis dissertation

Alliance Manchester Business School - AMBS

Business Analytics Dissertation: what to expect and how to make the most of it

Tuesday, June 18, 2019

Juan Felipe Alvarez

minute read

My academic year has been filled with numerous activities. Ever since fresher’s week started in September, there have been things going on (both academic and non-academic) and I can assure you that you will have a very intense and gratifying year as an MSc student.

Now that it's June and I have already finished with classes and exams, it is time to focus on the dissertation. I am writing this blog in order to let you know what to expect and my top tips for enjoying the experience.

Let’s start with the basics: what is a dissertation and what are the business school’s expectations? The objective of the dissertation is to provide students with an opportunity to produce an original piece of work and specialize in a particular topic of interest. The typical word count would be between 15,000 and 18,000 words, depending on the topic and needs to be developed between June and September.

The MSc in Business Analytics has a very pragmatical approach to dissertations; they do this, so you can try and solve a real-world problem with real-world data, which I think is exciting and will teach you applied problem-solving skills. You can either propose your own topic or choose to participate in one of the several ongoing research projects that the University has. If you have a very strong interest in one field and have the means to obtain the data, you can propose your own topic before February. However, most students decide to take part in the topics that are proposed by the University, like I did.

By the end of January, we received a list containing more than 60 different projects that were very diverse in terms of research field and industry. Many of them were in collaboration with companies that had proprietary datasets and were interested in analysing them thoroughly, while others dealt with publicly available datasets. In regards of the type of analysis there was plenty to choose from: text mining and natural language processing, machine learning modelling, simulation, operations research, forecasting, optimisation and decision analysis, just to mention a few. One of the ones that really caught my eye was to build a machine learning model to predict the best strategy for goalkeepers during penalty kicks.

We had to select 7 topics then rank them and the programme director would try to assign you the topic that was highest in your priority. My suggestion that will help you make an informed choice is to read very well the project description and understand what it is about. Don’t choose the dissertation topic only because the company has a well-known name. For me, it is more important to choose a type of analysis that you really like and feel comfortable doing. If you already know the supervisor, you could drop him an email asking for more information about the project and about the required skills.

You will be assigned a topic and a supervisor by the beginning of March and if you selected a topic with a company, some meetings might start taking place during the following months. It is very important to talk early to your supervisor and my tip would be to take the initiative and contact them with plenty of time. Your supervisor will help you to structure the research question, build the appropriate methodology and assess the quality of your work. Make sure you establish clear communication from the beginning in order to make your life easier. Another tip I could give you is to be ordered with your meetings and keep a minute for each one, so you can keep track of the tasks you are supposed to be doing.

After 4 hours of writing your dissertation meme

A little bit about my topic: In case you are interested, I will be working with Europe’s Largest digital healthcare providers and I will be creating a model to optimise their medicine buying strategy. I have already met the company’s representatives and I hope to be able to frame my research question in the following weeks.

In order to close, I would like to add that the dissertation might look a little bit intimidating at the beginning. I just wanted to let you know that as soon as you begin to divide the whole deliverable into smaller sub-parts, you will feel that you are making quick progress. I hope that this article would be useful to level your expectations about this topic and I wish you the best when the time comes for you to start with your dissertation.

I'm Juan Felipe Alvarez, an MSc Business Analytics student from the class of 2019. Follow my blogs for an insight into life as a student at Alliance MBS.

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99 Business Analytics Dissertation Topics and Research Ideas

Table of Contents

What is a Business Analytics Dissertation?

A Business Analytics Dissertation is a research project that focuses on using data to make better business decisions. In this type of dissertation, students explore how companies can use data analysis to solve problems, improve performance, and predict future trends. Business analytics combines data science , statistics, and business knowledge to help organizations make informed decisions.

Why are Business Analytics Dissertation Topics Important?

Business Analytics is a powerful tool for companies in today’s data-driven world. It helps businesses understand their operations, customers, and markets better. By choosing a dissertation topic in business analytics, you can contribute to how companies use data to grow and succeed.

Your research might help businesses find new opportunities, save money, or improve customer satisfaction. This makes your work valuable in both academic and practical terms.

Writing Tips for Business Analytics Dissertation

Choose a Practical Topic: Select a topic that has real-world applications. This makes your research more relevant and useful.
Use Accurate Data: Ensure your data is reliable and comes from credible sources. Good data is essential for drawing valid conclusions.
Explain Your Techniques: Clearly describe the methods you use for data analysis. This helps others understand and replicate your work.
Show the Business Impact: Make sure to connect your findings to business outcomes. Explain how your research can help businesses improve.

List of Business Analytics Dissertation Topics

Below is the list of best Business Analytics Dissertation Topics in various categories.

Predictive Analytics

Forecasting consumer behavior using machine learning algorithms.
Predictive maintenance models for optimizing asset performance.
Application of predictive analytics in financial markets for risk assessment.
Predicting employee attrition using HR analytics.
Predictive analytics for healthcare management: Improving patient outcomes.

Prescriptive Analytics

Optimization of supply chain operations through prescriptive analytics.
Personalized marketing strategies using prescriptive analytics.
Prescriptive analytics for enhancing energy efficiency in manufacturing processes.
Dynamic pricing strategies employing prescriptive analytics.
Prescriptive analytics in fraud detection and prevention.

Descriptive Analytics

Analyzing social media data for sentiment analysis using descriptive analytics.
Descriptive analytics for understanding customer journey and preferences.
Utilizing descriptive analytics to enhance operational efficiency in retail.
Descriptive analytics for talent management: Assessing employee performance.
Descriptive analytics in sports: Performance analysis and strategy formulation.

Big Data Analytics

Real-time big data analytics for e-commerce platforms.
Big data analytics in smart cities for urban planning .
Healthcare analytics: Leveraging big data for disease outbreak prediction.
Big data analytics for personalized learning in education.
Big data analytics for climate change mitigation and adaptation.

Text Analytics

Analyzing customer feedback for product improvement using text analytics.
Sentiment analysis of news articles for stock market prediction.
Text analytics in healthcare: Mining electronic health records for insights.
Analyzing social media conversations for brand sentiment using text analytics.
Text analytics for identifying emerging trends in consumer behavior.

Customer Analytics

Customer segmentation strategies using analytics.
Analyzing customer lifetime value for marketing optimization.
Customer churn prediction and retention strategies.
Personalization in customer experience through analytics.
Customer journey mapping using analytics for service improvement.

Financial Analytics

Risk management in banking: Analyzing credit risk using financial analytics.
Portfolio optimization strategies using financial analytics.
Fraud detection in insurance: Leveraging financial analytics.
Analyzing stock market volatility using financial analytics.
Financial forecasting using advanced analytics techniques.

Operational Analytics

Optimizing production processes using operational analytics.
Demand forecasting in retail through operational analytics.
Supply chain optimization using operational analytics.
Resource allocation optimization in healthcare using operational analytics.
Operational analytics for improving efficiency in transportation and logistics.

HR Analytics

Diversity and inclusion analytics: Analyzing workforce demographics.
Talent acquisition strategies using HR analytics.
Performance appraisal and talent management through HR analytics.
Employee engagement analysis using HR analytics.
Workforce planning and optimization using predictive HR analytics.
More How can you choose best HR dissertation topics?

Healthcare Analytics

Patient readmission prediction using healthcare analytics.
Healthcare fraud detection and prevention through analytics.
Personalized medicine: Tailoring treatment plans using healthcare analytics.
Healthcare resource allocation optimization using analytics.
Disease outbreak prediction and management using healthcare analytics.
More Public Health Dissertation Topics Ideas and examples

Marketing Analytics

Marketing mix modeling for campaign optimization.
Brand positioning analysis using marketing analytics.
Digital marketing analytics: Measuring ROI and attribution.
Social media analytics for influencer marketing strategies.
Market basket analysis for cross-selling and upselling strategies.
More Marketing Dissertation Topics and Research Ideas

Supply Chain Analytics

Demand forecasting and inventory optimization using supply chain analytics.
Supplier performance analysis and vendor selection using analytics.
Supply chain risk management through analytics.
Sustainable supply chain management using analytics.
Transportation optimization and route planning using supply chain analytics.
More What are the dissertation topics under supply chain management?

Retail Analytics

Customer segmentation and targeting in retail using analytics.
Assortment planning and product recommendation using retail analytics.
Price optimization strategies in retail using analytics.
Store layout optimization using retail analytics.
Omnichannel retail analytics for seamless customer experience.

Social Media Analytics

Social media sentiment analysis for brand reputation management.
Influencer identification and engagement strategies using social media analytics.
Social listening: Understanding consumer preferences through social media analytics.
Crisis management through social media analytics.
Social media campaign performance analysis and optimization.

Environmental Analytics

Carbon footprint analysis and reduction strategies using environmental analytics.
Water resource management through environmental analytics.
Environmental impact assessment using analytics in construction projects.
Biodiversity conservation planning using environmental analytics.
Renewable energy forecasting and optimization using environmental analytics.

Writing a Business Analytics Dissertation is a great way to explore how data can drive business success. Whether you’re interested in customer behavior analysis, market trends, or operational efficiency , your dissertation can make a significant impact. Choose a topic that aligns with your interests and has practical business applications. Remember to use reliable data and explain your methods clearly.

1. What are some common Business Analytics dissertation topics?

Common topics include customer segmentation, predictive analytics, supply chain optimization, and the use of AI in business decision-making.

2. How do I choose a Business Analytics dissertation topic?

Choose a topic that interests you, has available data, and is relevant to current trends in business analytics.

3. What tools are needed for a Business Analytics dissertation?

You may need tools like Excel, Python, R, and business intelligence software like Tableau or Power BI.

4. How long does it take to complete a Business Analytics dissertation?

The time varies, but it typically takes several months to a year to complete, depending on the complexity of the topic and research.

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11 Tips For Writing a Dissertation Data Analysis

Since the evolution of the fourth industrial revolution – the Digital World; lots of data have surrounded us. There are terabytes of data around us or in data centers that need to be processed and used. The data needs to be appropriately analyzed to process it, and Dissertation data analysis forms its basis. If data analysis is valid and free from errors, the research outcomes will be reliable and lead to a successful dissertation.

So, in today’s topic, we will cover the need to analyze data, dissertation data analysis, and mainly the tips for writing an outstanding data analysis dissertation. If you are a doctoral student and plan to perform dissertation data analysis on your data, make sure that you give this article a thorough read for the best tips!

What is Data Analysis in Dissertation?

Even f you have the data collected and compiled in the form of facts and figures, it is not enough for proving your research outcomes. There is still a need to apply dissertation data analysis on your data; to use it in the dissertation. It provides scientific support to the thesis and conclusion of the research.

Data Analysis Tools

There are plenty of indicative tests used to analyze data and infer relevant results for the discussion part. Following are some tests used to perform analysis of data leading to a scientific conclusion:

Hypothesis Testing	Regression and Correlation analysis
T-test	Z test
Mann-Whitney Test	Time Series and index number
Chi-Square Test	ANOVA (or sometimes MANOVA)

11 Most Useful Tips for Dissertation Data Analysis

Doctoral students need to perform dissertation data analysis and then dissertation to receive their degree. Many Ph.D. students find it hard to do dissertation data analysis because they are not trained in it.

1. Dissertation Data Analysis Services

The first tip applies to those students who can afford to look for help with their dissertation data analysis work. It’s a viable option, and it can help with time management and with building the other elements of the dissertation with much detail.

Dissertation Analysis services are professional services that help doctoral students with all the basics of their dissertation work, from planning, research and clarification, methodology, dissertation data analysis and review, literature review, and final powerpoint presentation.

One great reference for dissertation data analysis professional services is Statistics Solutions , they’ve been around for over 22 years helping students succeed in their dissertation work. You can find the link to their website here .

Following are some helpful tips for writing a splendid dissertation data analysis:

2. Relevance of Collected Data

It involves data collection of your related topic for research. Carefully analyze the data that tends to be suitable for your analysis. Do not just go with irrelevant data leading to complications in the results. Your data must be relevant and fit with your objectives. You must be aware of how the data is going to help in analysis.

3. Data Analysis

For analysis, it is crucial to use such methods that fit best with the types of data collected and the research objectives. Elaborate on these methods and the ones that justify your data collection methods thoroughly. Make sure to make the reader believe that you did not choose your method randomly. Instead, you arrived at it after critical analysis and prolonged research.

Data analysis involves two approaches – Qualitative Data Analysis and Quantitative Data Analysis. Qualitative data analysis comprises research through experiments, focus groups, and interviews. This approach helps to achieve the objectives by identifying and analyzing common patterns obtained from responses.

The overall objective of data analysis is to detect patterns and inclinations in data and then present the outcomes implicitly. It helps in providing a solid foundation for critical conclusions and assisting the researcher to complete the dissertation proposal.

4. Qualitative Data Analysis

Qualitative data refers to data that does not involve numbers. You are required to carry out an analysis of the data collected through experiments, focus groups, and interviews. This can be a time-taking process because it requires iterative examination and sometimes demanding the application of hermeneutics. Note that using qualitative technique doesn’t only mean generating good outcomes but to unveil more profound knowledge that can be transferrable.

Presenting qualitative data analysis in a dissertation can also be a challenging task. It contains longer and more detailed responses. Placing such comprehensive data coherently in one chapter of the dissertation can be difficult due to two reasons. Firstly, we cannot figure out clearly which data to include and which one to exclude. Secondly, unlike quantitative data, it becomes problematic to present data in figures and tables. Making information condensed into a visual representation is not possible. As a writer, it is of essence to address both of these challenges.

This method involves analyzing qualitative data based on an argument that a researcher already defines. It’s a comparatively easy approach to analyze data. It is suitable for the researcher with a fair idea about the responses they are likely to receive from the questionnaires.

In this method, the researcher analyzes the data not based on any predefined rules. It is a time-taking process used by students who have very little knowledge of the research phenomenon.

5. Quantitative Data Analysis

The Presentation of quantitative data depends on the domain to which it is being presented. It is beneficial to consider your audience while writing your findings. Quantitative data for hard sciences might require numeric inputs and statistics. As for natural sciences , such comprehensive analysis is not required.

Following are some of the methods used to perform quantitative data analysis.

6. Data Presentation Tools

Since large volumes of data need to be represented, it becomes a difficult task to present such an amount of data in coherent ways. To resolve this issue, consider all the available choices you have, such as tables, charts, diagrams, and graphs.

7. Include Appendix or Addendum

After presenting a large amount of data, your dissertation analysis part might get messy and look disorganized. Also, you would not be cutting down or excluding the data you spent days and months collecting. To avoid this, you should include an appendix part.

The data you find hard to arrange within the text, include that in the appendix part of a dissertation . And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation.

8. Thoroughness of Data

Thoroughly demonstrate the ideas and critically analyze each perspective taking care of the points where errors can occur. Always make sure to discuss the anomalies and strengths of your data to add credibility to your research.

9. Discussing Data

Discussion of data involves elaborating the dimensions to classify patterns, themes, and trends in presented data. In addition, to balancing, also take theoretical interpretations into account. Discuss the reliability of your data by assessing their effect and significance. Do not hide the anomalies. While using interviews to discuss the data, make sure you use relevant quotes to develop a strong rationale.

10. Findings and Results

Findings refer to the facts derived after the analysis of collected data. These outcomes should be stated; clearly, their statements should tightly support your objective and provide logical reasoning and scientific backing to your point. This part comprises of majority part of the dissertation.

11. Connection with Literature Review

The role of data analytics at the senior management level.

From small and medium-sized businesses to Fortune 500 conglomerates, the success of a modern business is now increasingly tied to how the company implements its data infrastructure and data-based decision-making. According

The Decision-Making Model Explained (In Plain Terms)

Any form of the systematic decision-making process is better enhanced with data. But making sense of big data or even small data analysis when venturing into a decision-making process might

13 Reasons Why Data Is Important in Decision Making

Wrapping up.

Writing data analysis in the dissertation involves dedication, and its implementations demand sound knowledge and proper planning. Choosing your topic, gathering relevant data, analyzing it, presenting your data and findings correctly, discussing the results, connecting with the literature and conclusions are milestones in it. Among these checkpoints, the Data analysis stage is most important and requires a lot of keenness.

As an IT Engineer, who is passionate about learning and sharing. I have worked and learned quite a bit from Data Engineers, Data Analysts, Business Analysts, and Key Decision Makers almost for the past 5 years. Interested in learning more about Data Science and How to leverage it for better decision-making in my business and hopefully help you do the same in yours.

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Business Dissertation Topics

Published by Owen Ingram at January 5th, 2023 , Revised On July 18, 2024

As a business student, you will study various aspects of conducting business. From handling human resources to managing marketing and finances, you will study them all. However, what is essential is to understand how you will put your learning into practice.

That is when the real challenge starts. You might have aced your quizzes and assignments and stood out in your class, but if you cannot implement your learning in your practical life, your academic success means nothing.

Thus, to help you understand the real-life scenario, the dissertation can be a great starting point. Dissertations help you understand the concepts, frameworks, and models of business in great depth.

Choose a topic for your dissertation that will interest you and help you in your professional life. Thus, to help you fulfil your academic condition and choose an appropriate dissertation topic, here is a list of topics that are recent and relevant.

To help you get started with brainstorming for business topic ideas, we have developed a list of the latest topics that can be used for writing your business dissertation.

These topics have been developed by PhD qualified writers of our team , so you can trust to use these topics for drafting your dissertation.

You can also start your dissertation by requesting a brief research proposal from our writers on any of these topics, which includes an introduction to the problem, research question , aim and objectives, literature review , and the proposed methodology of research to be conducted. Let us know if you need any help in getting started.

Check our free example dissertations and free business and business management dissertation examples to get an idea of how to structure your dissertation .

You can review step by step guide on how to write your dissertation here.

So, without further ado, here’s a list of business dissertation topics that will help you stand out in your class.

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Business Psychology Dissertation Topics
Business Law Dissertation Topics
Project Management Dissertation Topics
HRM Dissertation Topics
Management Dissertation Topics
Operations Management Dissertation Topics

2024 Business Dissertation Topics

Topic 1: an evaluation of the impact of business ethics on the moral obligations associated with business deals of corporations.

Research Aim: The research aims to conduct an evaluation of the impact of business ethics on the moral obligations associated with business deals of corporations

Objectives:

To analyse the importance of ethics for the shareholders of a business.
To evaluate the link between business ethics and successful business deals.
To investigate the impact of business ethics on the moral obligations of corporations while executing business deals

Topic 2: The impact of AI-based tools on business decision making and overall organisational profitability.

Research Aim: The research aims to analyse the impact of AI-based tools on business decision making and overall organisational profitability.

To analyse the impact of AI tools on the strategic management of the business.
To evaluate the factors impacting business decision making and profitability.
To investigate the impact of AI tools on business decision making and overall organisational profitability.

Topic 3: How does the HRM function impact the business health of organisations?

Research Aim: The research aims to understand how the HRM function impacts the business health of organisations.

To analyse the role of the HRL function of organisations.
To analyse the concept of business health and how it is measured.
To examine the impact of HRM on the business health and wellbeing of the organisations.

Topic 4: The impact of corporate governance on firm performance and internationalisation.

Research Aim: The research aims to examine the impact of corporate governance on firm performance and internationalisation.

To critically analyse the impact of corporate governance on brand image and equity.
To investigate the impact of firm performance on internationalisation decisions.
To investigate how corporate governance impacts firm performance and internationalisation.

Topic 5: An assessment of the impact of materials management on production efficiency and cost optimisation of business

Research Aim: The research aims to examine the impact of materials management on production efficiency and cost optimisation of business

To investigate the impact of materials management in the production business
To analyse the factors impacting production efficiency and cost minimisation of business.
To evaluate how materials management impacts production efficiency and cost optimisation of business

Latest Business Dissertation Topics

Topic 1: impact of digital business on the economic growth of the country: a case study of xyz country.

Research Aim: This research will focus on the significance of digital business during the pandemic and its impacts, not the country’s economic growth. It is a detailed view of the future that needs to be digitalised.

Topic 2: Brand Marketing through social media

Research Aim: This research aims to focus on the importance of Brand Marketing through social media by addressing various current strategies used in brand marketing.

Topic 3: Impacts of social media on customer behaviour

Research Aim: This research aims to measure social media’s impacts on customer behaviour and address various strategies that are effective in attracting customers through social media.

Topic 4: What factors influence the consumer's buying decisions?

Research Aim: This research aims to identify factors that influence the consumer’s buying decisions

Topic 5: Black Friday sale strategy to drive sales

Research Aim: This research aims to identify how the Black Friday sale strategy effectively drives sales. How can huge discounts benefit sellers?

Topic 6: The role of Influencer Marketing in increasing sale

Research Aim: Influencer Marketers impact the customer’s perception. This research aims to examine the role of influencer marketing in increasing sales.

Topic 7: Impact of E-marketing on consumer purchase decision: the case of the luxury industry in the UK

Research Aim: This research aims to measure E-marketing’s impact on consumer purchase decisions in the UK luxury industry.

Topic 8: Analysis of the customer-centric marketing strategies in attaining competitive advantage for the firm and sustaining business success

Research Aim: This research focuses on attaining customer-centric marketing strategies in a competitive advantage for the firm and sustaining business success.

Topic 9: Traditional vs. digital marketing: a comparative study of the last ten years

Research Aim: This research aims to conduct a comparative study of traditional vs. digital marketing in the last ten years.

Topic 10: The impact of relationship marketing on customer loyalty: an analysis of the Honda motor

Research Aim: This research aims to assess the impact of relationship marketing on customer loyalty. An analysis of the Honda motor will be conducted as the base of the research.

Topic 11: The importance of search Engines in e-commerce

Research Aim: This research aims to identify the importance of search engines in e-commerce.

Topic 12: E-Commerce company's advertising strategy-critical analysis

Research Aim: This research aims to identify the importance of an E-Commerce company’s advertising strategy.

Topic 13: Importance of customer retention in E-commerce

Research Aim: This research aims to measure the importance of customer retention in E-commerce.

Topic 14: Importance of brand loyalty in Internet marketing

Research Aim: This research aims to identify the importance of brand loyalty in Internet marketing.

Topic 2: How corporate social responsibility (CSR) affects customer loyalty: A case study of the UK petroleum industry

Research Aim: Corporate social responsibility has become an important phenomenon as it directly impacts the brand image of the company. Therefore, the main purpose of the research is to analyse how CSR activities influence customer perception, which in turn impacts customer loyalty. The focus of the research will be the UK petroleum industry.

Topic 3: Assessing the leadership styles of a non-profit organisation and how they impact the overall business operations

Research Aim: Leadership has always been a significant aspect of any organisation as it has a drastic impact on the overall business processes. Many researchers have focused on identifying the best leadership style for MNCs and SMEs; however, few have focused on non-profit organisations. Therefore, the main purpose of the research is to assess the most effective leadership styles that non-profit organisations should practise and how it affect the overall operations.

Topic 4: Examining the impact of global business negotiations on cross border mergers and acquisitions

Research Aim: The main aim of the research is to analyse the effect of international business negotiations on cross border mergers. Due to intense competition, many companies are going for mergers and acquisitions to enhance their market share. Therefore, this research will explore the aspect of global business negotiations in mergers and acquisitions between two different companies in two different countries.

Topic 5: Analysing the impact of forwarding and backward integration on business performance and sustainability

Research Aim: To gain a competitive advantage, firms have devised various supply chain strategies that help them improve their business performance. One such strategy is forward and backward integration. Therefore, this research will be focusing on analysing the impact of both forward and backward integration on business performance and sustainability.

Topic C1: The economic suffering due to the plague of COVID-19

Research Aim: The research must assess the disruption that has been created by the spread of COVID-19 in the world. This must include the global lockdown of the countries and the shutting of industries, resulting in soaring unemployment rates and a dramatic decline in economic statistics. The research aims to look at the economic consequences generated by the outbreak of COVID-19 in general.

Topic C2: The major sufferings in the economy as a result of the Coronavirus outbreak

Research Aim: The research must assess the reasons behind the rising suffering in specific business sectors and industries. For instance, the supply chain is suffering because China has become the manufacturing hub, which has brought disruption in the supply chain of the whole industry due to a complete lockdown in the country. The research aims to study majorly affected regions such as the entertainment sector, tourism industry, restaurant sector etc.

Topic C3: Expecting changes in the economic statistics by the outbreak of COVID-19

Research Aim: The recent expected changes by the professionals about the impact of COVID-19 on the global economic statistics must be discussed in the research, such as the estimated growth rates of the world and China was predicted to be 0% and 1.6%, respectively, for the year 2020 by the Ethan Harris, head of global economic research in the Bank of America according to his recent interview. Similarly, articles from other professionals must be included in the research to focus on the effects of an outbreak on the economy.

Topic C4: The major regions and business industries affected by the spread of COVID-19

Research Aim: The research would assess the regions (cities and countries) which are being affected by the spread of coronavirus COVID-19 and the major impacted business industries, such as the food industries like restaurants are completely locked down after the outbreak of the virus and the people that were engaged in those industries are unemployed now. The research aims to focus on such industries and the impact of their lowered productivity on the economy.

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Business Strategy and Globalisation Dissertation Topics

Globalisation can be defined as the process that assists organisations and businesses in spreading their operations and influence on an international scale to increase their profit levels.

According to the Financial Times Lexicon, it is “a process by which national and regional economies, societies, and cultures have become integrated through the global network of trade, communication, immigration and transportation.”

It would not be wrong to say that globalisation is the integration of policymaking, cultures, markets, industries, and economics around the globe.

In recent times, the concept of globalisation has been expanded to include a broader range of activities and areas such as biological, political, social, cultural, technological, climate and media factors, even though initially it primarily focused on the economies, capital flows, foreign direct investment, and trade.

Some recent topics with respect to globalisation and business strategy are listed below:

Topic 6: Why organisations and businesses must change their business strategies in the era of globalisation

Research Aim: Any and every company that does strategies based on globalisation will lose out on huge business opportunities. Thus, this research will focus on the reasons why companies should plan for globalisation-related strategies.

Topic 7: Business management framework and globalisation – An empirical study

Research Aim: This research will talk about a successful business management framework for companies operating in the era of globalisation.

Topic 8: Global business strategy for MNCs and the role of corporate vision, conflicts, and empowerment

Research Aim: This research will talk about the various business strategies available for MNCs and the role their vision, conflict management, and empowerment play in building these strategies.

Topic 9: Exploring the drivers of Chinese business expansion strategy into Africa and other developing countries

Research Aim: This research will explore the various factors that drive Chinese business expansion into Africa and other developing countries.

Topic 10: An investigation into the process of offshore outsourcing of customer services to determine the causes of poor customer satisfaction

Research Aim: This research will assess customer services’ offshoring process, which in turn impacts customer satisfaction.

Topic 11: Cross border management strategy – A research study focusing on foreign business organisations in Malaysia

Research Aim: This research will talk about cross border management strategies and specifically about foreign businesses operating in Malaysia.

Topic 12: An investigation into the impact of globalisation on UK businesses' operations on both a national and international scale.

Research Aim: This research will study the impact of globalisation on UK businesses. The impact on both national and international scales will be assessed.

Topic 13: How banks can implement business strategies in light of globalisation to improve connectivity with clients – A case of Barclays Plc

Research Aim: This research will focus on the globalisation of banks. Barclays PLC will be used as a case study for this research.

Topic 14: A study to examine the factors affecting the MNC’s choice of alliances and entry modes – The case of Sri Lanka

Research Aim: This study will discuss the various factors that impact the MNC’s choice of alliances and entry modes. Sri Lanka will be used as a case study for this research.

Topic 15: Performance, e-business strategies, and globalisation – Examining the factors affecting the social media strategy of business organisations in the UK

Research Aim: This research will discuss the factors that impact the performance, e-business strategies, and globalisation of UK based businesses. The study will also focus on factors impacting the social media strategy of these organisations.

How Can ResearchProspect Help?

ResearchProspect writers can send several custom topic ideas to your email address. Once you have chosen a topic that suits your needs and interests, you can order for our dissertation outline service , which will include a brief introduction to the topic, research questions , literature review , methodology , expected results , and conclusion . The dissertation outline will enable you to review the quality of our work before placing the order for our full dissertation writing service !

Strategic Change Management Dissertation Topics

Change management can be defined as the management of “change and development” within a business organisation. Dealing with the impact of change is of critical importance. Strategic change management helps managers deal with change from the perspective of the individual and an organisation.

An important aspect of this concept is the organisational tools that can help achieve successful transitions to adopt change. Furthermore, business organisations can effectively and quickly implement change to meet changing market requirements as part of the strategic change management process.

Topic 16: An investigation into the implementation of strategic change management in the UK retail sector

Research Aim: This research will analyse and investigate how the UK retail sector changes its business processes to stay relevant in the market.

Topic 17: Examining the factors affecting organisational changes from the perspective of employees – The case of HSBC

Research Aim: This research will focus on organisational changes from the perspective of employees. HSBC will be studied as a case in this research.

Topic 18: Use of a proprietary change management system with respect to transformational change and stakeholder communication

Research Aim: This research will discuss a proprietary change management system that helps with transformational change and stakeholder communication.

Topic 19: The role of feedback in organisational culture change: A case study of any multinational company

Research Aim: This research will assess the role of feedback, be it from employees or customers, in bringing and managing organisational cultural change. This study will be based on a company of your choosing.

Topic 20: Strategic management of change in Asian countries – The case of Singapore

Research Aim: This study will talk about strategic change management in Asian countries. Singapore will be the chosen country for the purpose of this study.

Topic 21: To establish the importance of measuring the stress levels of employees to successfully implement change

Research Aim: This research will talk about the importance of employee stress measurement in order to implement change successfully.

Topic 22: The role of senior management of business organisations in developing a framework that connects unexpected results and strategic plans

Research Aim: This study will talk about the role of senior management of businesses in developing a framework that will help the company bring together strategic plans and unexpected positive results.

Topic 23: Differences in working styles of Saudi project managers and foreign project managers

Research Aim: This research will help understand the different working styles of Saudi project managers and foreign project managers.

Topic 24: Intervention, project management, and change management – The banking sector in the UK

Research Aim: This research will talk about the change management and implementation barriers that companies are unable to implement change effectively.

International Human Resource Management Dissertation Topics

International Human Resource Management is a system that is designed to improve employee performance at national and international levels. The IHRM function primarily focuses on the policies developed to ensure efficient personnel management within organisations at an international level.

Various activities such as training and development, skills enhancement, employee recruitment, motivational programmes, bonuses and rewards systems, and performance appraisal are implemented to help businesses increase their work output.

Topic 25: Managing employees’ performance in non-profit organisations – A case study of any non-profit organisation

Research Aim: This research will help non-profit organisations understand how they can manage and monitor employee performance even when operating at an international level.

Topic 26: Developing an effective human resource management system in large multinational companies – The recommended practices and strategies

Research Aim: This research will help multinational companies develop an effective human resource management system.

Topic 27: Examining the impact of human resource professionals and human resource management in the new global economy

Research Aim: This study will help understand the impact of human resource professionals and shed light on human resource management in the new globalised economy.

Topic 28: Can human resource development and training help to remedy poor selection processes

Research Aim: This research will aim to understand whether resource development and training will lead to better selection processes or not.

Topic 29: The causes and forms of deviance in business and non-profit organisations

Research Aim: This research will help understand the causes and forms of deviance in business and non-profit organisations.

Topic 30: Investigating the effects of organisational transition on employees’ performance in large diversified companies.

Research Aim: This research will investigate the impact of organisational transition on the performance of employees in multinationals.

Topic 31: Configuration of human resource management system in multinational companies

Research Aim: This research will help understand how the human resource management system in multinationals is configured.

Topic 32: Learning from small businesses in the UK – How firm performance is associated with strategic human resource management.

Research Aim: This research will understand how firm performance in small businesses is linked with strategic human resource management and its benefits and limitations.

Topic 33: Human resource challenges for UK construction industry – Knowledge transfer and retention

Research Aim: This research will help understand human resource challenges for the UK construction industry, particularly knowledge transfer and employee retention.

Topic 34: The role of strategic human resource management in the public sector – The recommended practices and policies

Research Aim: This research will help understand the role of strategic human resource management in the public sector.

Information Technology Management Dissertation Topics

The process of managing all information technology resources of a business organisation is known as “information technology management”. It should be noted that the information technology resources of an organisation are usually managed in accordance with the priorities, policies, and requirements set out by the business.

Physical investments, including the staff, data centre facilities, networks, data storage databases, software, and computer hardware, are examples of information technology resources required to be managed within a company.

This is done using simple management skills such as organising and controlling, change management, and budgeting.

Topic 35: Developing a framework for the strategic management of information technology

Research Aim: This research will help companies build a sustainable framework for the strategic management of the information technology sector.

Topic 36: Role of information technology management in large diversified business organisations.

Research Aim: This research will help in understanding the role of information technology management in large businesses.

Topic 37: Analysing the issues associated with the implementation of Information technology in new technology-based firms.

Research Aim: This study will help in assessing issues associated with the implementation of information technology in technology firms.

Topic 38: Recommended practices to introduce and implement information systems in business organisations.

Research Aim: This study will help companies introduce and implement information systems in organisations.

Topic 39: How business organisations can gain a competitive advantage through social media branding in a fast-paced electronics industry?

Research Aim: This study is extremely relevant for this day and age as it focuses on gaining a competitive advantage through social media for the electronics industry.

Topic 40: The role of strategic alliances, acquisitions and mergers in building eCommerce business giants – A case study of any large scale and established virtual company.

Research Aim: This research will focus on understanding the role of strategic alliances, acquisitions, and mergers for e-commerce business giants. You can choose a large scale company of your choice for this study.

Topic 41: How can an e-HR system help UK energy companies improve their efficiency?

Research Aim: Electronic-human resource management systems are a thing of today. This research will focus on implementing e-HR in UK based energy companies.

Topic 42: Identifying the most influential factors affecting information technology management in the UK construction industry.

Research Aim: This research will identify factors that influence information technology management in the UK construction industry.

Topic 43: Investigating the Benefits and Limitations of Implementing Information Technology in the UK Fashion Industry.

Research Aim: This research will help explore the benefits and limitations of implementing information technology in the UK fashion sector.

Topic 44: To investigate the important elements of information technology management.

Research Aim: This research will focus on the essential factors of information technology management.

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Organisational Leadership Dissertation Topics

Business leaders are the management staff that provide operational oversights, inspiration and other administrative services. It is the duty of business leaders to help prioritise organisational objectives and corporate vision for other team members. Here are some interesting topics related to organisational leadership.

Topic 45: Examining the effects of leadership and clarity of vision on business organisations.

Research Aim: This research will understand the impact of leadership on businesses and how having a clear business vision helps organisations.

Topic 46: The impact of organisational culture and leadership behaviours on practices of knowledge management in small and medium-sized enterprises.

Research Aim: This research will examine the impact of organisational culture and leadership behaviours on knowledge management in SMEs.

Topic 47: Examining the impact of leadership on organisational performance of small enterprises in Saudi Arabia.

Research Aim: This research will study the impact of business leadership on the organisational performance of small businesses in Saudi Arabia.

Topic 48: Evaluating the impact of leadership on organisational performance – A case study of any large and diversified firm.

Research Aim: This research will help evaluate the impact of leadership on organisational performance. You can choose a company of your choice for this research.

Topic 49: Role of organisational leadership in developing countries – A case study of any home-grown company.

Research Aim: This study will evaluate the role of organisational leadership in developing countries.

Topic 50: Traits of prevention-oriented and charismatic leader for the successful operation of medium-sized enterprises.

Research Aim: This research will examine the various traits of leadership that are required for successful business operations.

Topic 51: Organisational leadership in the multicultural environment of Saudi Arabia.

Research Aim: This research will focus on organisational leadership in a multicultural environment in Saudi Arabia.

Topic 52: Distinguishing leadership from management to achieve corporate strategies.

Research Aim: This research will analyse and compare leadership and management which companies achieve corporate strategies.

Topic 53: Investigating the differences between individual charismatic leadership and traditional organisational leadership.

Research Aim: This research will help to investigate the differences between charismatic leadership and traditional leadership.

Topic 54: How leadership decisions to implement new business strategies can be influenced by organisational culture – A case study of Nokia.

Research Aim: This research will assess how leadership decisions help in implementing new business strategies and how they are influenced by organisational culture. This study will be based on Nokia.

International Business Strategy Dissertation Topics

International business can be defined as the transactions that occur across country borders as a result of trade. For example, a UK based company selling its products in another country is involved in international business.

Another definition of international business is the exchange/trade of goods or products among businesses and individuals in multiple countries.

However, it is worth noting that all commercial transactions, including transportation, logistics, investments, sales, governmental and private, that occur as a result of trade between two different regions are the elements of International Business.

Here are some interesting topics based on international business strategy:

Topic 55: Investigating the patterns of foreign direct investment in new global economies

Research Aim: This research will help outline foreign direct investment patterns in new global economies.

Topic 56: The future of the bamboo industry in Europe – Opportunities and challenges

Research Aim: This research will understand the bamboo industry in Europe, its opportunities, and the challenges the industry has to face.

Topic 57: How Telenor internationalised in Asia – The case of Pakistan

Research Aim: This research will focus on Telenor expanding its operations in Asia. International business strategies undertaken by the company will be discussed.

Topic 58: Internationalisation opportunities for Chinese multinational companies – The link between international business development and “knowledge and learning.”

Research Aim: This research will explore the internationalisation opportunities for Chinese multinational companies, i.e. the link between international business development and knowledge will be studied.

Topic 59: Exploring strategic alternatives in Research & Development through the exploitation of opportunities and capabilities

Research Aim: This research will talk about the various strategic alternatives in research and development by exploring various opportunities and capabilities.

Topic 60: The role of new theoretical models with respect to global politics and business

Research Aim: This research will understand the role of new theoretical models by considering global politics and businesses.

Topic 61: The impact of corporate governance on performance and internationalisation of business organisation

Research Aim: This research will focus on the impact of corporate governance on the performance and internationalisation of business organisations.

Topic 62: Examining the factors that could motivate large multinational corporations to adapt an internationalisation strategy

Research Aim: This research will analyse the factors that motivate multinationals to adapt to internationalisation strategies.

Topic 63: The growing importance of social media strategies in the global business environment – Internationalisation, e-business plans and performance of firms

Research Aim: This research will understand the importance of social media strategy in the global business environment, i.e. firm performance, e-business plans, etc.

Topic 64: Investigating “foreign direct investment” strategies of large and diversified companies in developing economies – The case of India

Research Aim: This research will examine foreign direct investment strategies of huge diversified businesses based in India.

Corporate Social Responsibility Dissertation Topics

The concept of corporate social responsibility has gained tremendous importance, thanks to growing social and environmental concerns that need to be integrated into business operations.

CSR allows business organisations to achieve a balance of social, environmental, and economic obligations and addresses stakeholders and shareholders’ needs.

Implementing CSR amongst small and medium-sized enterprises can prove to be an extremely daunting task primarily because it requires strategies to be designed in a manner where the respective capabilities and needs of these businesses are considered, but the profitability of the company is not adversely impacted.

Here are some relevant CSR dissertation topics for you to choose from:

Topic 65: Investigating the role of corporate social responsibilities in brand equity

Research Aim: This research will analyse how brand equity is built with the help of corporate social responsibility.

Topic 66: How values are associated with perceptions of corporate social responsibility

Research Aim: This research will talk about how values and perceptions are associated with corporate social responsibility and how businesses view it.

Topic 67: Effects of CSR on the performance of business organisations in transitional economies

Research Aim: This study will examine how CSR impacts businesses’ performance operating in transitional economies.

Topic 68: Investigating performance and strategic plans of UK firms with respect to corporate social responsibility

Research Aim: This research will investigate the performance and strategic plans of UK firms with regard to their respective corporate social responsibility.

Topic 69: To what extent do international certifiable management regulations influence business practices

This research will aim to understand the extent to which international certifiable management regulations impact business practices.

Topic 70: Corporate social responsibility in developing countries – The case of the Chinese construction industry

Research Aim: This research will talk about corporate social responsibility in developing countries and focus on the Chinese construction industry.

Topic 71: Corporate social responsibility and societal expectations – A case of any multinational corporation

Research Aim: This research will understand the expectations associated with corporate social responsibilities. A multinational will be chosen for this study.

Topic 72: How corporate social responsibility affect business practices of the UK energy sector

Research Aim: This research will help understand how corporate social responsibility impacts business practices in the UK energy sector.

Topic 73: The role of CSR on international corporate governance theories and practices

Research Aim: This research will examine the role of CSR in international corporate governance theories and practices.

Topic 74: Financial performance of selected European corporations in light of corporate social responsibility

Research Aim: This research will understand how the financial performance of European businesses is impacted by corporate social responsibility.

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Organisational Behaviour Dissertation Topics

Organisational behaviour can be defined as how individuals interact with larger groups to create more efficient businesses. The theories of organisational behaviour can help to achieve maximum output from individual members of a team. Here are some interesting topics to help you pick an appropriate dissertation topic on organisational behaviour.

Topic 75: Investigating the impact of values and beliefs on employees’ performance and commitment at the workplace

Research Aim: This research will investigate the impact of beliefs and values on employees’ performance and commitment at the workplace.

Topic 76: Studying the impact of culture on organisational behaviour – The case of the Indian telecommunication industry

Research Aim: This research will help study the impact of culture on organisational behaviour. The Indian telecommunication industry will be the focus of this research.

Topic 77: Examining decision-making process in multinational corporations in light of organisational behaviour and choice

Research Aim: This research will help examine the decision making process in multinationals with respect to organisational behaviour and choice.

Topic 78: Organisational citizenship behaviour and organisational commitment, psychological contract and conflict at Oxford University

Research Aim: This research will help understand organisational citizenship behaviour, organisational commitment, and conflict at Oxford University.

Topic 79: Exploring the relationship between a sense of belongingness and development of trust with managerial behaviour in large and diversified organisations

Research Aim: This research will help in understanding the relationship between trust and a sense of belongingness in huge, multicultural organisations.

Topic 80: Investigating causes of unethical actions of individuals in the workplace – Analysing organisational standards, practices, ethical behaviour

Research Aim: This study will explore causes that lead to unethical actions at workplaces. The research will analyse the organisational standards, practices, and ethical behaviour.

Topic 81: Developing organisational citizenship behaviour and organisational culture in the pre-inauguration stages – The case of the UK hotel industry

Research Aim: This research will help develop organisational citizenship behaviour and organisational culture in the early days of businesses. The UK hotel industry will be the main focus of this research.

Topic 82: Comparing employees’ attitudes and organisational cultural values in the Indian agricultural sector

Research Aim: This research will compare employee attitude and organisational cultural values in the Indian agricultural sector.

Topic 83: This study will explore the relationship between employee performance and corporate objectives.

Research Aim: The research will take into consideration the role of shared values and standards.

Topic 84: Introducing, Implementing, and Managing Change in a Multinational – Assessing the Conflicts associated with it

Research Aim: This research will study global change management as to how multinationals introduce, implement and manage change globally.

List of Top Trending Business Dissertation Topics In 2024

The Role of Artificial Intelligence in Business Decision-Making
Gig Economy’s Impact on Traditional Employment Structures
Blockchain Technology in Supply Chain Management for Efficiency
The Rise of Social Media Influencers and Their Disruption of Marketing Strategies
Fostering Innovation in a Remote Work Environment
The Ethical Implications of Big Data Analytics in Modern Business Practices
The Growing Power of Customer Experience as a Competitive Differentiator
Mergers and Acquisitions in the Age of Digital Transformation
Redefining Leadership in a Multigenerational Workforce
The Impact of Remote Work on Corporate Culture
How E-commerce is Changing Consumer Behaviour and Shopping Experiences
The Influence of Fintech on Traditional Financial Institutions
Exploring the Potential and Challenges of Sharing Economy for Sustainable Business Models
How Social Impact is Shaping Consumer Choices
Protecting Businesses in a Digital World
The Power of Data-Driven Marketing
The Gig Economy and its Impact on Employee Benefits and Social Security Systems
The Increasing Importance of Cybersecurity Awareness Training for Employees
The Rise of Remote Work and its Implications for Urban Planning and Development
The Growing Influence of Employee Activism on Corporate Social Responsibility Initiatives
The Impact of Automation on Jobs
The Ethical Considerations of Artificial Intelligence in Business
Redefining Work-Life Balance in a Technologically Driven World
Blockchain Technology and its Potential to Transform Business Processes Across Industries
The Power of Storytelling in Modern Marketing
The Growing Popularity of Subscription-Based Business Models
The Impact of Globalisation on Labour Practices
The Ethical Challenges of Using Social Media Data for Targeted Advertising
The Role of Corporate Social Responsibility in Building Brand Reputation and Customer Trust
The Impact of Remote Work on Employee Mental Health
The Rise of Remote Collaboration Tools
The Increasing Importance of Data Privacy Regulations and their Impact on Business Practices
The Growing Influence of ESG (Environmental, Social, and Governance) Factors on Investor Decisions
The Rise of the Creator Economy
The Future of Work in the Age of Automation
The Ethical Implications of Facial Recognition Technology in Business Applications
The Impact of Artificial Intelligence on the Future of Customer Service
The Growing Demand for Sustainable Products and Services
The Future of Workplace Learning

Important Notes:

As a student of business studies looking to get good grades, it is essential to develop new ideas and experiment with existing business theories – i.e., to add value and interest to your research topic.

The field of business is vast and interrelated to so many other academic disciplines like civil engineering , construction , law , and even healthcare . That is why creating a business dissertation topic that is articular, sound, and actually solves a practical problem that may be rampant in the field is imperative.

We can’t stress how important it is to develop a logical research topic; it is the basis of your entire research. There are several significant downfalls to getting your topic wrong; your supervisor may not be interested in working on it, the topic has no academic creditability, the research may not make logical sense, and there is a possibility that the study is not viable.

This impacts your time and efforts in writing your dissertation , as you may end up in a cycle of rejection at the very initial stage of the dissertation. That is why we recommend reviewing existing research to develop a topic, taking advice from your supervisor, and even asking for help in this particular stage of your dissertation.

While developing a research topic, keeping our advice in mind will allow you to pick one of the best business dissertation topics that fulfils your requirement of writing a research paper and add to the body of knowledge.

Therefore, it is recommended that when finalising your dissertation topic, you read recently published literature to identify gaps in the research that you may help fill.

Remember- dissertation topics need to be unique, solve an identified problem, be logical, and be practically implemented. Take a look at some of our sample business dissertation topics to get an idea for your own dissertation.

How to Structure Your Business Dissertation

A well-structured dissertation can help students to achieve a high overall academic grade.

A Title Page
Acknowledgements
Declaration
Abstract: A summary of the research completed
Table of Contents
Introduction : This chapter includes the project rationale, research background, key research aims and objectives, and the research problems. An outline of the structure of a dissertation can also be added to this chapter.
Literature Review : This chapter presents relevant theories and frameworks by analysing published and unpublished literature available on the chosen research topic in light of the research questions to be addressed. The purpose is to highlight and discuss the relative weaknesses and strengths of the selected research area while identifying any research gaps. Break down of the topic, and key terms can positively impact your dissertation and your tutor.
Methodology: The data collection and analysis methods and techniques employed by the researcher are presented in the Methodology chapter, which usually includes research design, research philosophy, research limitations, code of conduct, ethical consideration, data collection methods, and data analysis strategy .
Findings and Analysis: Findings of the research are analysed in detail under the Findings and Analysis chapter. All key findings/results are outlined in this chapter without interpreting the data or drawing any conclusions. It can be useful to include graphs , charts, and tables in this chapter to identify meaningful trends and relationships.
Discussion and Conclusion: The researcher presents his interpretation of results in this chapter and states whether the research hypothesis has been verified or not. An essential aspect of this section is to establish the link between the results and evidence from the literature. Recommendations with regard to the implications of the findings and directions for the future may also be provided. Finally, a summary of the overall research, along with final judgments, opinions, and comments, must be included in the form of suggestions for improvement.
References: Make sure to complete this in accordance with your University’s requirements
Bibliography
Appendices: Any additional information, diagrams, and graphs used to complete the dissertation but not part of the dissertation should be included in the Appendices chapter. Essentially, the purpose is to expand the information/data.

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How to Write a Dissertation Conclusion? | Tips & Examples

What is PhD Thesis Writing? | Beginner’s Guide

A data analysis dissertation is a complex and challenging project requiring significant time, effort, and expertise. Fortunately, it is possible to successfully complete a data analysis dissertation with careful planning and execution.

As a student, you must know how important it is to have a strong and well-written dissertation, especially regarding data analysis. Proper data analysis is crucial to the success of your research and can often make or break your dissertation.

To get a better understanding, you may review the data analysis dissertation examples listed below;

Impact of Leadership Style on the Job Satisfaction of Nurses
Effect of Brand Love on Consumer Buying Behaviour in Dietary Supplement Sector
An Insight Into Alternative Dispute Resolution
An Investigation of Cyberbullying and its Impact on Adolescent Mental Health in UK

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Types of data analysis for dissertation.

The various types of data Analysis in a Dissertation are as follows;

1. Qualitative Data Analysis

Qualitative data analysis is a type of data analysis that involves analyzing data that cannot be measured numerically. This data type includes interviews, focus groups, and open-ended surveys. Qualitative data analysis can be used to identify patterns and themes in the data.

2. Quantitative Data Analysis

Quantitative data analysis is a type of data analysis that involves analyzing data that can be measured numerically. This data type includes test scores, income levels, and crime rates. Quantitative data analysis can be used to test hypotheses and to look for relationships between variables.

3. Descriptive Data Analysis

Descriptive data analysis is a type of data analysis that involves describing the characteristics of a dataset. This type of data analysis summarizes the main features of a dataset.

4. Inferential Data Analysis

Inferential data analysis is a type of data analysis that involves making predictions based on a dataset. This type of data analysis can be used to test hypotheses and make predictions about future events.

5. Exploratory Data Analysis

Exploratory data analysis is a type of data analysis that involves exploring a data set to understand it better. This type of data analysis can identify patterns and relationships in the data.

Time Period to Plan and Complete a Data Analysis Dissertation?

When planning dissertation data analysis, it is important to consider the dissertation methodology structure and time series analysis as they will give you an understanding of how long each stage will take. For example, using a qualitative research method, your data analysis will involve coding and categorizing your data.

This can be time-consuming, so allowing enough time in your schedule is important. Once you have coded and categorized your data, you will need to write up your findings. Again, this can take some time, so factor this into your schedule.

Finally, you will need to proofread and edit your dissertation before submitting it. All told, a data analysis dissertation can take anywhere from several weeks to several months to complete, depending on the project’s complexity. Therefore, starting planning early and allowing enough time in your schedule to complete the task is important.

Essential Strategies for Data Analysis Dissertation

A. Planning

The first step in any dissertation is planning. You must decide what you want to write about and how you want to structure your argument. This planning will involve deciding what data you want to analyze and what methods you will use for a data analysis dissertation.

B. Prototyping

Once you have a plan for your dissertation, it’s time to start writing. However, creating a prototype is important before diving head-first into writing your dissertation. A prototype is a rough draft of your argument that allows you to get feedback from your advisor and committee members. This feedback will help you fine-tune your argument before you start writing the final version of your dissertation.

C. Executing

After you have created a plan and prototype for your data analysis dissertation, it’s time to start writing the final version. This process will involve collecting and analyzing data and writing up your results. You will also need to create a conclusion section that ties everything together.

D. Presenting

The final step in acing your data analysis dissertation is presenting it to your committee. This presentation should be well-organized and professionally presented. During the presentation, you’ll also need to be ready to respond to questions concerning your dissertation.

Data Analysis Tools

Numerous suggestive tools are employed to assess the data and deduce pertinent findings for the discussion section. The tools used to analyze data and get a scientific conclusion are as follows:

a. Excel

Excel is a spreadsheet program part of the Microsoft Office productivity software suite. Excel is a powerful tool that can be used for various data analysis tasks, such as creating charts and graphs, performing mathematical calculations, and sorting and filtering data.

b. Google Sheets

Google Sheets is a free online spreadsheet application that is part of the Google Drive suite of productivity software. Google Sheets is similar to Excel in terms of functionality, but it also has some unique features, such as the ability to collaborate with other users in real-time.

c. SPSS

SPSS is a statistical analysis software program commonly used in the social sciences. SPSS can be used for various data analysis tasks, such as hypothesis testing, factor analysis, and regression analysis.

d. STATA

STATA is a statistical analysis software program commonly used in the sciences and economics. STATA can be used for data management, statistical modelling, descriptive statistics analysis, and data visualization tasks.

SAS is a commercial statistical analysis software program used by businesses and organizations worldwide. SAS can be used for predictive modelling, market research, and fraud detection.

R is a free, open-source statistical programming language popular among statisticians and data scientists. R can be used for tasks such as data wrangling, machine learning, and creating complex visualizations.

g. Python

A variety of applications may be used using the distinctive programming language Python, including web development, scientific computing, and artificial intelligence. Python also has a number of modules and libraries that can be used for data analysis tasks, such as numerical computing, statistical modelling, and data visualization.

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Tips to Compose a Successful Data Analysis Dissertation

a. Choose a Topic You’re Passionate About

The first step to writing a successful data analysis dissertation is to choose a topic you’re passionate about. Not only will this make the research and writing process more enjoyable, but it will also ensure that you produce a high-quality paper.

Choose a topic that is particular enough to be covered in your paper’s scope but not so specific that it will be challenging to obtain enough evidence to substantiate your arguments.

b. Do Your Research

data analysis in research is an important part of academic writing. Once you’ve selected a topic, it’s time to begin your research. Be sure to consult with your advisor or supervisor frequently during this stage to ensure that you are on the right track. In addition to secondary sources such as books, journal articles, and reports, you should also consider conducting primary research through surveys or interviews. This will give you first-hand insights into your topic that can be invaluable when writing your paper.

c. Develop a Strong Thesis Statement

After you’ve done your research, it’s time to start developing your thesis statement. It is arguably the most crucial part of your entire paper, so take care to craft a clear and concise statement that encapsulates the main argument of your paper.

Remember that your thesis statement should be arguable—that is, it should be capable of being disputed by someone who disagrees with your point of view. If your thesis statement is not arguable, it will be difficult to write a convincing paper.

d. Write a Detailed Outline

Once you have developed a strong thesis statement, the next step is to write a detailed outline of your paper. This will offer you a direction to write in and guarantee that your paper makes sense from beginning to end.

Your outline should include an introduction, in which you state your thesis statement; several body paragraphs, each devoted to a different aspect of your argument; and a conclusion, in which you restate your thesis and summarize the main points of your paper.

e. Write Your First Draft

With your outline in hand, it’s finally time to start writing your first draft. At this stage, don’t worry about perfecting your grammar or making sure every sentence is exactly right—focus on getting all of your ideas down on paper (or onto the screen). Once you have completed your first draft, you can revise it for style and clarity.

And there you have it! Following these simple tips can increase your chances of success when writing your data analysis dissertation. Just remember to start early, give yourself plenty of time to research and revise, and consult with your supervisor frequently throughout the process.

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Studying the above examples gives you valuable insight into the structure and content that should be included in your own data analysis dissertation. You can also learn how to effectively analyze and present your data and make a lasting impact on your readers.

In addition to being a useful resource for completing your dissertation, these examples can also serve as a valuable reference for future academic writing projects. By following these examples and understanding their principles, you can improve your data analysis skills and increase your chances of success in your academic career.

You may also contact Premier Dissertations to develop your data analysis dissertation.

For further assistance, some other resources in the dissertation writing section are shared below;

How Do You Select the Right Data Analysis

How to Write Data Analysis For A Dissertation?

How to Develop a Conceptual Framework in Dissertation?

What is a Hypothesis in a Dissertation?

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35+ Business Dissertation Topics and Ideas to Get You Stared

by Antony W

June 27, 2024

With the world almost putting Covid-19 on its knees, economic growth will see an upward trend as it used to right before the global pandemic hit the human race hard. So far, statistics point to a potential growth that will see an expansion in business activities, making this an interesting area to study.

For business students taking their Master’s degree, the requirement to write a dissertation raises the need to select the best business dissertation topic for the assignment. To help you make the topic research process easier, we’ve put together a list of interesting topics for inspiration.

Keep in mind that business is a wide field, and therefore the topics provided in this guide cover various disciplines in the sector. As such, it should be easy for you to find a topic that’s not only interesting but also worth exploring.

Business Dissertation Topics: 25+ Examples for Inspiration

The following are examples of dissertation topics that you can improve and explore in your research assignment:

Dissertation Topics on Corporate Social Responsibility in Business

Corporate social responsibility is a serious issue in the business world, especially since activists and governments hold enterprise responsible for their actions. If anything, businesses have to take corporate social responsibility seriously because it’s part of what contributes to the competence of companies and organizations.

Some topics you can cover in this area include:

What are the important strategic decisions that businesses must make in order to enhance their performance in terms of Corporate Social Responsibility?
How can firms benefit from implementing CSR practices in relation to climate change?
In the aftermath of the Coronavirus epidemic, how much CSR will be lost in order to achieve higher economic growth?
Is there a link between diversity and corporate social responsibility, and what role does it play in organizational performance?
What are the obstacles to the mainstreaming of ethical firms in the United Kingdom?

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Dissertation Topics on Global Strategy in Business

This area focuses on examining the key strategic issues that companies and organizations have to deal with when doing business in the global space. More often than not, researchers seek to understand strategic analysis, strategy formulation, and the way businesses identify sources of competitive advantages.

Here are some topic ideas that you may find interesting to cover in this area:

How should a corporate plan for expanding into an international market be developed?
An investigation on the exit strategy of foreign venture capital investment in the worldwide private sector.
Is it possible to use entrepreneurship as a successful management technique inside a company unit?
A study of the issues associated with managing international collaboration in the military aero-engine industry.
Creating a closed-loop supply chain to improve global business practices’ sustainability.
Creating an efficient structure for knowledge exchange and use in international project teams.

Global Business and Politics Dissertation Topics

The dissertation topic ideas in this category often examine the connection between global business and global politics. As an area that has been volatile for years, this sector evaluates institutions, processes and factors that influence businesses and politics.

Here are some topic ideas to consider:

Evaluating the effectiveness of multinational businesses’ global business teams: a test of an intervening process model
How diverse patterns of business-government ties influence industrial upgrading processes: A case study of developing economies
Strategy, structure, fit, and performance in business-government relations within a contingency theory framework.
Is globalization still going to be a significant market driver in the aftermath of the Covid-19 crisis?
What impact does Corporate Governance have on internationalization, globalization, and company performance?
Examining how enterprises entering the Chinese market manage political risk from a legitimacy standpoint.

Technology Business Topics for Dissertation

Your dissertation will focus on the strategies that businesses use to identify, develop, and implement technology to support their day-to-day operations. You may have to investigate the evolution of technology, new opportunities that technology presents, and the possible challenges that businesses have to deal with.

Some topics to consider in this area are as follows:

How will 5G technology affect the expansion of digital consumer markets in the United Kingdom?
How ICT integration has changed the way people buy products and services.
An investigation on the influence of internet marketing in the development of global supply chain networks.
Evaluating technology diffusion models among UK online customers.
How has the incorporation of technology into human resources benefited organizational efficiency?
Considering the role of innovation in the emergence of new prospects for SMEs in the United Kingdom.
What are the primary variables influencing the effectiveness of corporate internet branding?
An examination of how corporate operations have improved as a result of innovation: Are they convergent on a single universal approach?

International HR Management Dissertation Topics

The focus in this business segment is on how organizations handle human resources at an international level to maintain a competitive advantage. Notably, the area focuses on understanding culture factors that give insights on how human resource functions can contribute to building functional knowledge to national and international business.

Here are some dissertation topics that are likely to suit this area of business:

What are the foundations of employee commitment in a global multi-national in terms of emotive, normative, and calculative commitment?
How can cultural differences be managed in multinational collaborative projects?
How do you manage employee commitment in the non-profit sector across national cultures?
What are the most important elements influencing staff retention in international contact centers?
Can IHRM offer culturally acceptable work-life balance and flexible working patterns for multinational corporations?
What influence does organizational transformation have on employee engagement in major multinational corporations?
What are the advantages and disadvantages of intercultural teams operating in virtual settings, and how do these teams impact competitive advantage?

About the author

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

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Doctor of Education (EdD)

A Content Analysis of Dissertations on Business Topics: A Quantitative Study

Kat Yamamoto Follow

Date of Award

Document type.

Dissertation

Degree Name

School of Education

First Advisor

Linda Samek, Ed.D.

Second Advisor

Debra Espinor, Ed.D.

Third Advisor

Justine Haigh, Ph.D.

Many students explore business topics in their dissertations because they are relevant research areas for future scholar-practitioners such as leaders, educators, researchers, and consultants. Nevertheless, there is limited scholarship on the content of dissertations from PhD and practitioner doctoral programs. Dissertation research methodology choices, page lengths, and research topics have not been studied extensively. Few studies have been conducted to explore the differences and similarities between researcher-oriented and practitioner-oriented dissertations. This study examined dissertations written on business topics in the recent ten years using content analysis to address these gaps. A sample of dissertations uploaded in the years 2010, 2015, and 2020 from an open-access academic database, Digital Commons Network Business Commons (2020), was used. This study found from the years 2015 to 2020, there was an increase in the number of qualitative dissertations compared to that of the year 2010. Mean page length of dissertations was longer for PhD programs compared to practitioner doctoral counterparts. Page lengths of quantitative dissertations were shorter than qualitative dissertations on average. In 2020, a new business research topic, Business Analytics, emerged. The Chi- Square tests of independence; the one-way ANOVA and the post-hoc Tukey HSD test; and the independent t-tests were used to analyze relationships for dissertation page lengths, methodology choice, and the publication year (2010, 2015, and 2020).

Recommended Citation

Yamamoto, Kat, "A Content Analysis of Dissertations on Business Topics: A Quantitative Study" (2020). Doctor of Education (EdD) . 151. https://digitalcommons.georgefox.edu/edd/151

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Knowledge Base
Dissertation

What Is a Dissertation? | Guide, Examples, & Template

A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program.

Your dissertation is probably the longest piece of writing you’ve ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating to know where to begin.

Your department likely has guidelines related to how your dissertation should be structured. When in doubt, consult with your supervisor.

You can also download our full dissertation template in the format of your choice below. The template includes a ready-made table of contents with notes on what to include in each chapter, easily adaptable to your department’s requirements.

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In the US, a dissertation generally refers to the collection of research you conducted to obtain a PhD.
In other countries (such as the UK), a dissertation often refers to the research you conduct to obtain your bachelor’s or master’s degree.

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Dissertation committee and prospectus process, how to write and structure a dissertation, acknowledgements or preface, list of figures and tables, list of abbreviations, introduction, literature review, methodology, reference list, proofreading and editing, defending your dissertation, free checklist and lecture slides.

When you’ve finished your coursework, as well as any comprehensive exams or other requirements, you advance to “ABD” (All But Dissertation) status. This means you’ve completed everything except your dissertation.

Prior to starting to write, you must form your committee and write your prospectus or proposal . Your committee comprises your adviser and a few other faculty members. They can be from your own department, or, if your work is more interdisciplinary, from other departments. Your committee will guide you through the dissertation process, and ultimately decide whether you pass your dissertation defense and receive your PhD.

Your prospectus is a formal document presented to your committee, usually orally in a defense, outlining your research aims and objectives and showing why your topic is relevant . After passing your prospectus defense, you’re ready to start your research and writing.

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The structure of your dissertation depends on a variety of factors, such as your discipline, topic, and approach. Dissertations in the humanities are often structured more like a long essay , building an overall argument to support a central thesis , with chapters organized around different themes or case studies.

However, hard science and social science dissertations typically include a review of existing works, a methodology section, an analysis of your original research, and a presentation of your results , presented in different chapters.

Dissertation examples

We’ve compiled a list of dissertation examples to help you get started.

Example dissertation #1: Heat, Wildfire and Energy Demand: An Examination of Residential Buildings and Community Equity (a dissertation by C. A. Antonopoulos about the impact of extreme heat and wildfire on residential buildings and occupant exposure risks).
Example dissertation #2: Exploring Income Volatility and Financial Health Among Middle-Income Households (a dissertation by M. Addo about income volatility and declining economic security among middle-income households).
Example dissertation #3: The Use of Mindfulness Meditation to Increase the Efficacy of Mirror Visual Feedback for Reducing Phantom Limb Pain in Amputees (a dissertation by N. S. Mills about the effect of mindfulness-based interventions on the relationship between mirror visual feedback and the pain level in amputees with phantom limb pain).

The very first page of your document contains your dissertation title, your name, department, institution, degree program, and submission date. Sometimes it also includes your student number, your supervisor’s name, and the university’s logo.

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The abstract is a short summary of your dissertation, usually about 150 to 300 words long. Though this may seem very short, it’s one of the most important parts of your dissertation, because it introduces your work to your audience.

Your abstract should:

State your main topic and the aims of your research
Describe your methods
Summarize your main results
State your conclusions

Theoretical framework

Your literature review can often form the basis for your theoretical framework. Here, you define and analyze the key theories, concepts, and models that frame your research.

Checklist: Dissertation

My title page includes all information required by my university.

I have included acknowledgements thanking those who helped me.

My abstract provides a concise summary of the dissertation, giving the reader a clear idea of my key results or arguments.

I have created a table of contents to help the reader navigate my dissertation. It includes all chapter titles, but excludes the title page, acknowledgements, and abstract.

My introduction leads into my topic in an engaging way and shows the relevance of my research.

My introduction clearly defines the focus of my research, stating my research questions and research objectives .

My introduction includes an overview of the dissertation’s structure (reading guide).

I have conducted a literature review in which I (1) critically engage with sources, evaluating the strengths and weaknesses of existing research, (2) discuss patterns, themes, and debates in the literature, and (3) address a gap or show how my research contributes to existing research.

I have clearly outlined the theoretical framework of my research, explaining the theories and models that support my approach.

I have thoroughly described my methodology , explaining how I collected data and analyzed data.

I have concisely and objectively reported all relevant results .

I have (1) evaluated and interpreted the meaning of the results and (2) acknowledged any important limitations of the results in my discussion .

I have clearly stated the answer to my main research question in the conclusion .

I have clearly explained the implications of my conclusion, emphasizing what new insight my research has contributed.

I have provided relevant recommendations for further research or practice.

If relevant, I have included appendices with supplemental information.

I have included an in-text citation every time I use words, ideas, or information from a source.

I have listed every source in a reference list at the end of my dissertation.

I have consistently followed the rules of my chosen citation style .

I have followed all formatting guidelines provided by my university.

Congratulations!

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Dissertation Structure & Layout 101: How to structure your dissertation, thesis or research project.

By: Derek Jansen (MBA) Reviewed By: David Phair (PhD) | July 2019

So, you’ve got a decent understanding of what a dissertation is , you’ve chosen your topic and hopefully you’ve received approval for your research proposal . Awesome! Now its time to start the actual dissertation or thesis writing journey.

To craft a high-quality document, the very first thing you need to understand is dissertation structure . In this post, we’ll walk you through the generic dissertation structure and layout, step by step. We’ll start with the big picture, and then zoom into each chapter to briefly discuss the core contents. If you’re just starting out on your research journey, you should start with this post, which covers the big-picture process of how to write a dissertation or thesis .

Dissertation structure and layout - the basics

The Caveat

In this post, we’ll be discussing a traditional dissertation/thesis structure and layout, which is generally used for social science research across universities, whether in the US, UK, Europe or Australia. However, some universities may have small variations on this structure (extra chapters, merged chapters, slightly different ordering, etc).

So, always check with your university if they have a prescribed structure or layout that they expect you to work with. If not, it’s safe to assume the structure we’ll discuss here is suitable. And even if they do have a prescribed structure, you’ll still get value from this post as we’ll explain the core contents of each section.

Overview: S tructuring a dissertation or thesis

Acknowledgements page
Abstract (or executive summary)
Table of contents , list of figures and tables
Chapter 1: Introduction
Chapter 2: Literature review
Chapter 3: Methodology
Chapter 4: Results
Chapter 5: Discussion
Chapter 6: Conclusion
Reference list

As I mentioned, some universities will have slight variations on this structure. For example, they want an additional “personal reflection chapter”, or they might prefer the results and discussion chapter to be merged into one. Regardless, the overarching flow will always be the same, as this flow reflects the research process , which we discussed here – i.e.:

The introduction chapter presents the core research question and aims .
The literature review chapter assesses what the current research says about this question.
The methodology, results and discussion chapters go about undertaking new research about this question.
The conclusion chapter (attempts to) answer the core research question .

In other words, the dissertation structure and layout reflect the research process of asking a well-defined question(s), investigating, and then answering the question – see below.

A dissertation's structure reflect the research process

To restate that – the structure and layout of a dissertation reflect the flow of the overall research process . This is essential to understand, as each chapter will make a lot more sense if you “get” this concept. If you’re not familiar with the research process, read this post before going further.

Right. Now that we’ve covered the big picture, let’s dive a little deeper into the details of each section and chapter. Oh and by the way, you can also grab our free dissertation/thesis template here to help speed things up.

The title page of your dissertation is the very first impression the marker will get of your work, so it pays to invest some time thinking about your title. But what makes for a good title? A strong title needs to be 3 things:

Succinct (not overly lengthy or verbose)
Specific (not vague or ambiguous)
Representative of the research you’re undertaking (clearly linked to your research questions)

Typically, a good title includes mention of the following:

The broader area of the research (i.e. the overarching topic)
The specific focus of your research (i.e. your specific context)
Indication of research design (e.g. quantitative , qualitative , or mixed methods ).

For example:

A quantitative investigation [research design] into the antecedents of organisational trust [broader area] in the UK retail forex trading market [specific context/area of focus].

Again, some universities may have specific requirements regarding the format and structure of the title, so it’s worth double-checking expectations with your institution (if there’s no mention in the brief or study material).

Acknowledgements

This page provides you with an opportunity to say thank you to those who helped you along your research journey. Generally, it’s optional (and won’t count towards your marks), but it is academic best practice to include this.

So, who do you say thanks to? Well, there’s no prescribed requirements, but it’s common to mention the following people:

Your dissertation supervisor or committee.
Any professors, lecturers or academics that helped you understand the topic or methodologies.
Any tutors, mentors or advisors.
Your family and friends, especially spouse (for adult learners studying part-time).

There’s no need for lengthy rambling. Just state who you’re thankful to and for what (e.g. thank you to my supervisor, John Doe, for his endless patience and attentiveness) – be sincere. In terms of length, you should keep this to a page or less.

Abstract or executive summary

The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report – in other words, it should be able to stand alone .

For it to stand alone, your abstract should cover the following key points (at a minimum):

Your research questions and aims – what key question(s) did your research aim to answer?
Your methodology – how did you go about investigating the topic and finding answers to your research question(s)?
Your findings – following your own research, what did do you discover?
Your conclusions – based on your findings, what conclusions did you draw? What answers did you find to your research question(s)?

So, in much the same way the dissertation structure mimics the research process, your abstract or executive summary should reflect the research process, from the initial stage of asking the original question to the final stage of answering that question.

In practical terms, it’s a good idea to write this section up last , once all your core chapters are complete. Otherwise, you’ll end up writing and rewriting this section multiple times (just wasting time). For a step by step guide on how to write a strong executive summary, check out this post .

Need a helping hand?

This section is straightforward. You’ll typically present your table of contents (TOC) first, followed by the two lists – figures and tables. I recommend that you use Microsoft Word’s automatic table of contents generator to generate your TOC. If you’re not familiar with this functionality, the video below explains it simply:

If you find that your table of contents is overly lengthy, consider removing one level of depth. Oftentimes, this can be done without detracting from the usefulness of the TOC.

Right, now that the “admin” sections are out of the way, its time to move on to your core chapters. These chapters are the heart of your dissertation and are where you’ll earn the marks. The first chapter is the introduction chapter – as you would expect, this is the time to introduce your research…

It’s important to understand that even though you’ve provided an overview of your research in your abstract, your introduction needs to be written as if the reader has not read that (remember, the abstract is essentially a standalone document). So, your introduction chapter needs to start from the very beginning, and should address the following questions:

What will you be investigating (in plain-language, big picture-level)?
Why is that worth investigating? How is it important to academia or business? How is it sufficiently original?
What are your research aims and research question(s)? Note that the research questions can sometimes be presented at the end of the literature review (next chapter).
What is the scope of your study? In other words, what will and won’t you cover ?
How will you approach your research? In other words, what methodology will you adopt?
How will you structure your dissertation? What are the core chapters and what will you do in each of them?

These are just the bare basic requirements for your intro chapter. Some universities will want additional bells and whistles in the intro chapter, so be sure to carefully read your brief or consult your research supervisor.

If done right, your introduction chapter will set a clear direction for the rest of your dissertation. Specifically, it will make it clear to the reader (and marker) exactly what you’ll be investigating, why that’s important, and how you’ll be going about the investigation. Conversely, if your introduction chapter leaves a first-time reader wondering what exactly you’ll be researching, you’ve still got some work to do.

Now that you’ve set a clear direction with your introduction chapter, the next step is the literature review . In this section, you will analyse the existing research (typically academic journal articles and high-quality industry publications), with a view to understanding the following questions:

What does the literature currently say about the topic you’re investigating?
Is the literature lacking or well established? Is it divided or in disagreement?
How does your research fit into the bigger picture?
How does your research contribute something original?
How does the methodology of previous studies help you develop your own?

Depending on the nature of your study, you may also present a conceptual framework towards the end of your literature review, which you will then test in your actual research.

Again, some universities will want you to focus on some of these areas more than others, some will have additional or fewer requirements, and so on. Therefore, as always, its important to review your brief and/or discuss with your supervisor, so that you know exactly what’s expected of your literature review chapter.

Now that you’ve investigated the current state of knowledge in your literature review chapter and are familiar with the existing key theories, models and frameworks, its time to design your own research. Enter the methodology chapter – the most “science-ey” of the chapters…

In this chapter, you need to address two critical questions:

Exactly HOW will you carry out your research (i.e. what is your intended research design)?
Exactly WHY have you chosen to do things this way (i.e. how do you justify your design)?

Remember, the dissertation part of your degree is first and foremost about developing and demonstrating research skills . Therefore, the markers want to see that you know which methods to use, can clearly articulate why you’ve chosen then, and know how to deploy them effectively.

Importantly, this chapter requires detail – don’t hold back on the specifics. State exactly what you’ll be doing, with who, when, for how long, etc. Moreover, for every design choice you make, make sure you justify it.

In practice, you will likely end up coming back to this chapter once you’ve undertaken all your data collection and analysis, and revise it based on changes you made during the analysis phase. This is perfectly fine. Its natural for you to add an additional analysis technique, scrap an old one, etc based on where your data lead you. Of course, I’m talking about small changes here – not a fundamental switch from qualitative to quantitative, which will likely send your supervisor in a spin!

You’ve now collected your data and undertaken your analysis, whether qualitative, quantitative or mixed methods. In this chapter, you’ll present the raw results of your analysis . For example, in the case of a quant study, you’ll present the demographic data, descriptive statistics, inferential statistics , etc.

Typically, Chapter 4 is simply a presentation and description of the data, not a discussion of the meaning of the data. In other words, it’s descriptive, rather than analytical – the meaning is discussed in Chapter 5. However, some universities will want you to combine chapters 4 and 5, so that you both present and interpret the meaning of the data at the same time. Check with your institution what their preference is.

Now that you’ve presented the data analysis results, its time to interpret and analyse them. In other words, its time to discuss what they mean, especially in relation to your research question(s).

What you discuss here will depend largely on your chosen methodology. For example, if you’ve gone the quantitative route, you might discuss the relationships between variables . If you’ve gone the qualitative route, you might discuss key themes and the meanings thereof. It all depends on what your research design choices were.

Most importantly, you need to discuss your results in relation to your research questions and aims, as well as the existing literature. What do the results tell you about your research questions? Are they aligned with the existing research or at odds? If so, why might this be? Dig deep into your findings and explain what the findings suggest, in plain English.

The final chapter – you’ve made it! Now that you’ve discussed your interpretation of the results, its time to bring it back to the beginning with the conclusion chapter . In other words, its time to (attempt to) answer your original research question s (from way back in chapter 1). Clearly state what your conclusions are in terms of your research questions. This might feel a bit repetitive, as you would have touched on this in the previous chapter, but its important to bring the discussion full circle and explicitly state your answer(s) to the research question(s).

Next, you’ll typically discuss the implications of your findings . In other words, you’ve answered your research questions – but what does this mean for the real world (or even for academia)? What should now be done differently, given the new insight you’ve generated?

Lastly, you should discuss the limitations of your research, as well as what this means for future research in the area. No study is perfect, especially not a Masters-level. Discuss the shortcomings of your research. Perhaps your methodology was limited, perhaps your sample size was small or not representative, etc, etc. Don’t be afraid to critique your work – the markers want to see that you can identify the limitations of your work. This is a strength, not a weakness. Be brutal!

This marks the end of your core chapters – woohoo! From here on out, it’s pretty smooth sailing.

The reference list is straightforward. It should contain a list of all resources cited in your dissertation, in the required format, e.g. APA , Harvard, etc.

It’s essential that you use reference management software for your dissertation. Do NOT try handle your referencing manually – its far too error prone. On a reference list of multiple pages, you’re going to make mistake. To this end, I suggest considering either Mendeley or Zotero. Both are free and provide a very straightforward interface to ensure that your referencing is 100% on point. I’ve included a simple how-to video for the Mendeley software (my personal favourite) below:

Some universities may ask you to include a bibliography, as opposed to a reference list. These two things are not the same . A bibliography is similar to a reference list, except that it also includes resources which informed your thinking but were not directly cited in your dissertation. So, double-check your brief and make sure you use the right one.

The very last piece of the puzzle is the appendix or set of appendices. This is where you’ll include any supporting data and evidence. Importantly, supporting is the keyword here.

Your appendices should provide additional “nice to know”, depth-adding information, which is not critical to the core analysis. Appendices should not be used as a way to cut down word count (see this post which covers how to reduce word count ). In other words, don’t place content that is critical to the core analysis here, just to save word count. You will not earn marks on any content in the appendices, so don’t try to play the system!

Time to recap…

And there you have it – the traditional dissertation structure and layout, from A-Z. To recap, the core structure for a dissertation or thesis is (typically) as follows:

Acknowledgments page

Most importantly, the core chapters should reflect the research process (asking, investigating and answering your research question). Moreover, the research question(s) should form the golden thread throughout your dissertation structure. Everything should revolve around the research questions, and as you’ve seen, they should form both the start point (i.e. introduction chapter) and the endpoint (i.e. conclusion chapter).

I hope this post has provided you with clarity about the traditional dissertation/thesis structure and layout. If you have any questions or comments, please leave a comment below, or feel free to get in touch with us. Also, be sure to check out the rest of the Grad Coach Blog .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

36 Comments

many thanks i found it very useful

Glad to hear that, Arun. Good luck writing your dissertation.

Such clear practical logical advice. I very much needed to read this to keep me focused in stead of fretting.. Perfect now ready to start my research!

what about scientific fields like computer or engineering thesis what is the difference in the structure? thank you very much

Thanks so much this helped me a lot!

Very helpful and accessible. What I like most is how practical the advice is along with helpful tools/ links.

Thanks Ade!

Thank you so much sir.. It was really helpful..

You’re welcome!

Hi! How many words maximum should contain the abstract?

Thank you so much 😊 Find this at the right moment

You’re most welcome. Good luck with your dissertation.

best ever benefit i got on right time thank you

Many times Clarity and vision of destination of dissertation is what makes the difference between good ,average and great researchers the same way a great automobile driver is fast with clarity of address and Clear weather conditions .

I guess Great researcher = great ideas + knowledge + great and fast data collection and modeling + great writing + high clarity on all these

You have given immense clarity from start to end.

Morning. Where will I write the definitions of what I’m referring to in my report?

Thank you so much Derek, I was almost lost! Thanks a tonnnn! Have a great day!

Thanks ! so concise and valuable

This was very helpful. Clear and concise. I know exactly what to do now.

Thank you for allowing me to go through briefly. I hope to find time to continue.

Really useful to me. Thanks a thousand times

Very interesting! It will definitely set me and many more for success. highly recommended.

Thank you soo much sir, for the opportunity to express my skills

Usefull, thanks a lot. Really clear

Very nice and easy to understand. Thank you .

That was incredibly useful. Thanks Grad Coach Crew!

My stress level just dropped at least 15 points after watching this. Just starting my thesis for my grad program and I feel a lot more capable now! Thanks for such a clear and helpful video, Emma and the GradCoach team!

Do we need to mention the number of words the dissertation contains in the main document?

It depends on your university’s requirements, so it would be best to check with them 🙂

Such a helpful post to help me get started with structuring my masters dissertation, thank you!

Great video; I appreciate that helpful information

It is so necessary or avital course

This blog is very informative for my research. Thank you

Doctoral students are required to fill out the National Research Council’s Survey of Earned Doctorates

wow this is an amazing gain in my life

This is so good

How can i arrange my specific objectives in my dissertation?

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Dissertations on Business Analysis

Business Analysis is a research discipline that looks to identify business needs and recommend solutions to problems within a business. Providing solutions to identified problems enables change management and may include changes to things such as systems, process, organisational structure etc.

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Latest Business Analysis Dissertations

Including full dissertations, proposals, individual dissertation chapters, and study guides for students working on their undergraduate or masters dissertation.

Investment Appraisal Process

Dissertation Examples

How an investment appraisal technique helps companies move in the right direction, regarding investment decisions....

Last modified: 22nd Nov 2023

H&M Marketing Analysis

The H&M cluster is one of the world’s top fashion companies, with brands being H&M, Weekday, Monki amongst others. H&M hopes to inspire fashion globally to dress their individual style....

Empirical Analysis of Efficiency of English Premier League (EPL) Football Clubs (2005-2015)

The aims of this study are in two folds; first to examine if any EPL club could maintain efficiency over the period (2005 – 2015) and second, to identify the most efficient club(s) within the same period using Data Envelopment Analysis (DEA)....

Last modified: 2nd Mar 2022

Prediction for Big Data & IoT in 2017: Live Project-sentiment Analysis of Twitter Data

Big data and therefore the alleged net of Things (IoT) are intimately connected: billions of Internet-connected 'things' can, by definition, generate huge amounts of knowledge....

Last modified: 1st Mar 2022

IT Sector Mergers and Acquisitions Analysis

Dissertation Proposals

The aim of the research is to evaluate the activity of Mergers and Acquisitions as well as the consolidation that is taking place in the IT sector of India with a special emphasis on Multi National Enterprises....

Last modified: 28th Jan 2022

Analysis of Airbnb: Impact in the Lodging Industry

Airbnb is an online peer-to-peer (P2P) corporation which is framed in the lodging industry. Its aim is to create a platform where (hosts) people who rent a bed in excess in their own property or offer the whole living space are meeting with the guest....

Last modified: 12th Jan 2022

Philip Knight’s Impact on and Contribution to Nike’s Success

A study of Philip Knight’s impact on and contribution to Nike’s success. We applied organizational behaviour topics and concepts to Knight’s leadership style....

Financial Analysis of Coles Ltd

This report conducts a financial analysis for Coles by performing a trend analysis of financial ratios using the data given for past 5 years. It also includes a cash flow analysis which along with financial ratios helps compare Coles with its industry counterparts, Woolworths and Metcash....

Last modified: 11th Jan 2022

Dell Business Analysis: UK Distribution Channel Effectiveness

The research aims to analyse and study the distribution channel of Dell in UK, distribution channel of its competitors, efficiency and effectiveness of Dell's Distribution channel as compared to its competitors....

Last modified: 10th Jan 2022

Pret a Manger Business Strategy for Buyer Loyalty

The primary focus of this paper is to display a basic assessment of current practices and techniques of the Pret a Manger business to quantify its impact on purchaser faithfulness and aggressive quality....

Last modified: 4th Jan 2022

Analysis of the Cleveland Clinic Organisation

Throughout this paper, there will be an analysis of the Cleveland Clinic and their facility physical settings, patient base and/or client base, the level of clinical activity and research, as well as their mission, vision and/or goals....

Last modified: 30th Dec 2021

Analysis of the Korean Retail Sector

This study outlines a comprehensive overview of the retail industry’s development in Korea and focuses on the discount stores as the most leading retail format....

Last modified: 23rd Dec 2021

International Operational Strategy of Eucerin

The purpose of this study is to assess and analyse the international operational strategy of Eucerin. The research scope covers issues including the study of Beauty and Personal Care and dermo-cosmetics industry....

Strategic Marketing and Brand Management of Amazon

This report was written in order to understand Amazon’s corporate brand, in terms of its identity and image, and how these reflect on its brand’s reputation....

Last modified: 6th Dec 2021

Coles Supermarket Analysis: SWOT and Porter's Five

This research evaluates Coles Supermarket using SWOT (Strength, Weakness, Opportunity and Threat) and Porter's 5 Forces analysis....

Last modified: 3rd Dec 2021

Analysis of Nike’s Social Media Marketing Strategy

This report examines how Nike utilizes their social media sites in an attempt to understand why they are so successful with social media marketing....

Last modified: 1st Nov 2021

Sentimental Analysis on Products Reviews

In this paper, our ultimate goal is to tackle the problem of sentiment polarity categorization, which is one of the fundamental problems of sentiment analysis....

Last modified: 26th Oct 2021

Strategic Analysis of Cobra Beer and the Global Brewery Industry

This report investigates Cobra Beer and the Global Brewery Industry. The aim of this report is to analyse the macro and micro environment of Cobra Beer Company....

Analysis of the Northrop Grumman Corporation

Northrop operates in a capital-intensive industry that requires a high level of investment in people, facilities, equipment, and infrastructure. This analysis was conducted to formulate a strategic plan for the Northrop Grumman Corporation....

Last modified: 22nd Oct 2021

Sports Bar Business in India from a Cultural and Branding Perspective

A study of the sports bar business in India to identify the opportunities these bars have as a business and to understand the changing customer behaviour towards sports bars....

Last modified: 20th Oct 2021

Organizational Structure for Effective Service Delivery

Example Research Proposals

How could Hotel Belle Cote implement organizational structure features in order to improve the effectiveness and efficiency in the delivery of their services?...

Last modified: 19th Oct 2021

Business Analysis of McDonald's Success

The purpose of this paper is to assess the principles and practices of doing business in one of the most popular companies in the world - McDonald’s....

Last modified: 12th Oct 2021

Strategic Analysis of the Current Status of Aktel Mobile

The broad objective of this study is to find out the employee perception about the effectiveness of AKTEL Mobile's various policies and strategies...

Last modified: 8th Oct 2021

Pharmaceutical Business Financial Analysis

The aim of this report is to evaluate the effectiveness and efficiency with which pharmaceutical business has been performing over the past 3 years in business....

United States Post Office (USPS) Operational Analysis

This strategic analysis will look at the operations of USPS, starting from inception to where the entity is today with a focus on its vision and mission....

Last modified: 5th Oct 2021

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Dissertation examples

Listed below are some of the best examples of research projects and dissertations from undergraduate and taught postgraduate students at the University of Leeds We have not been able to gather examples from all schools. The module requirements for research projects may have changed since these examples were written. Refer to your module guidelines to make sure that you address all of the current assessment criteria. Some of the examples below are only available to access on campus.

Undergraduate examples
Taught Masters examples


These dissertations achieved a mark of 80 or higher:
The following two examples have been annotated with academic comments. This is to help you understand why they achieved a good 2:1 mark but also, more importantly, how the marks could have been improved. Please read to help you make the most of the two examples. (Mark 68) (Mark 66) These final year projects achieved a mark of a high first: For students undertaking a New Venture Creation (NVC) approach, please see the following Masters level examples:


Projects which attained grades of over 70 or between 60 and 69 are indicated on the lists (accessible only by students and staff registered with School of Computer Science, when on campus).
These are good quality reports but they are not perfect. You may be able to identify areas for improvement (for example, structure, content, clarity, standard of written English, referencing or presentation quality).

The following examples have their marks and feedback included at the end of of each document. The following examples have their feedback provided in a separate document.

School of Media and Communication .

The following outstanding dissertation example PDFs have their marks denoted in brackets. (Mark 78) (Mark 72) (Mark 75) (Mark 91) (Mark 85) (Mark 85) (Mark 85) (Mark 91) (Mark 85) (Mark 75)
This dissertation achieved a mark of 84: .

These dissertations achieved a mark of 80 or higher:

The following two examples have been annotated with academic comments. This is to help you understand why they achieved a good 2:1 mark but also, more importantly, how the marks could have been improved.

Please read to help you make the most of the two examples.

(Mark 68)

(Mark 66)

These final year projects achieved a mark of a high first:

For students undertaking a New Venture Creation (NVC) approach, please see the following Masters level examples:

Projects which attained grades of over 70 or between 60 and 69 are indicated on the lists (accessible only by students and staff registered with School of Computer Science, when on campus).

These are good quality reports but they are not perfect. You may be able to identify areas for improvement (for example, structure, content, clarity, standard of written English, referencing or presentation quality).

The following examples have their marks and feedback included at the end of of each document.

The following examples have their feedback provided in a separate document.

School of Media and Communication .

The following outstanding dissertation example PDFs have their marks denoted in brackets.

(Mark 78)
(Mark 72)
(Mark 75)

(Mark 91)
(Mark 85)
(Mark 85)
(Mark 85)
(Mark 91)

(Mark 85)
(Mark 75)

This dissertation achieved a mark of 84:


LUBS5530 Enterprise
MSc Sustainability


.
The following outstanding dissertation example PDFs have their marks denoted in brackets. (Mark 70) (Mark 78)

LUBS5530 Enterprise

MSc Sustainability

The following outstanding dissertation example PDFs have their marks denoted in brackets.

(Mark 70)

(Mark 78)

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Business Analytics Dissertation: what to expect and how to make the
The objective of the dissertation is to provide students with an opportunity to produce an original piece of work and specialize in a particular topic of interest. The typical word count would be between 15,000 and 18,000 words, depending on the topic and needs to be developed between June and September. The MSc in Business Analytics has a very ...
Top 99 Business Analytics Dissertation Topics, writing tips
A Business Analytics Dissertation is a research project that focuses on using data to make better business decisions. In this type of dissertation, students explore how companies can use data analysis to solve problems, improve performance, and predict future trends.
PDF MSc Business Analytics dissertation projects
Business Analytics - dissertation projectsWe are looking for pr. jects for our Masters in Business Analytics. The Business Analytics MSc has been ranked 9th in the world in the latest QS Global Business Maste. ranking, after only one year of operation. The programme is designed to train analysts capable of taking on complex.
PDF Defining the role of the business analyst: The Business Analysis
Abstract v Abstract This thesis reports on an empirical study into business analysis (BA), a professional IS discipline. This subject is deemed relevant for investigation for three reasons: the volume of
MBA Research Topics In Business (+ Free Webinar)
Finding and choosing a strong research topic is the critical first step when it comes to crafting a high-quality dissertation, thesis or research project. If you've landed on this post, chances are you're looking for a business/management-related research topic, but aren't sure where to start.Here, we'll explore a variety of research ideas and topic thought-starters for management ...
11 Tips For Writing a Dissertation Data Analysis
And place questionnaires, copies of focus groups and interviews, and data sheets in the appendix. On the other hand, one must put the statistical analysis and sayings quoted by interviewees within the dissertation. 8. Thoroughness of Data. It is a common misconception that the data presented is self-explanatory.
Dissertation Results/Findings Chapter (Quantitative)
The results chapter (also referred to as the findings or analysis chapter) is one of the most important chapters of your dissertation or thesis because it shows the reader what you've found in terms of the quantitative data you've collected. It presents the data using a clear text narrative, supported by tables, graphs and charts.
PDF Three Essays on Business Analytics
Business Analytics: time-series causality, panel data analysis, and design of experiments by Yaser Abolghsemi Dehaghani A thesis presented to the University of Waterloo in ful llment of the thesis requirement for the degree of Doctor of Philosophy in Management Sciences Waterloo, Ontario, Canada, 2020 c Yaser Abolghasemi Dehaghani 2020
Business Dissertation Topics and Titles
Top Business Dissertation Topics. Topic 1: Assessing how the regional differences between countries influence the business strategies of multinational companies. Topic 2: How corporate social responsibility (CSR) affects customer loyalty: A case study of the UK petroleum industry.
A Step-by-Step Guide to Dissertation Data Analysis
A. Planning. The first step in any dissertation is planning. You must decide what you want to write about and how you want to structure your argument. This planning will involve deciding what data you want to analyze and what methods you will use for a data analysis dissertation. B. Prototyping.
How To Write A Dissertation Or Thesis
Craft a convincing dissertation or thesis research proposal. Write a clear, compelling introduction chapter. Undertake a thorough review of the existing research and write up a literature review. Undertake your own research. Present and interpret your findings. Draw a conclusion and discuss the implications.
35+ Business Dissertation Topics and Ideas to Get You Stared
Dissertation Topics on Global Strategy in Business This area focuses on examining the key strategic issues that companies and organizations have to deal with when doing business in the global space. More often than not, researchers seek to understand strategic analysis, strategy formulation, and the way businesses identify sources of ...
PDF Business Intelligence Success: An Empirical Evaluation of the Role of
Business Intelligence Success: An Empirical Evaluation of the Role of BI Capabilities and the Decision Environment . Doctor of Philosophy (Business Computer ... is used for analysis. The results of this dissertation suggest that all technological capabilities as well as one of the organizational capabilities, flexibility, significantly impact ...
Prize-Winning Thesis and Dissertation Examples
Prize-Winning Thesis and Dissertation Examples. Published on September 9, 2022 by Tegan George.Revised on July 18, 2023. It can be difficult to know where to start when writing your thesis or dissertation.One way to come up with some ideas or maybe even combat writer's block is to check out previous work done by other students on a similar thesis or dissertation topic to yours.
"A Content Analysis of Dissertations on Business Topics: A Quantitative
This study examined dissertations written on business topics in the recent ten years using content analysis to address these gaps. A sample of dissertations uploaded in the years 2010, 2015, and 2020 from an open-access academic database, Digital Commons Network Business Commons (2020), was used.
Masters dissertations
Prediction and Analysis of customer satisfaction in the airline industry. Shashank Singh, 2022. Cardiovascular Disease prediction using Supervised Machine Learning Models. Anagha Srinivasamurthy, 2022. Implementation of the CRM analytics model to reduce customer churn in the Retail Industry. Parul Srivastava, 2022.
What Is a Dissertation?
A dissertation is a long-form piece of academic writing based on original research conducted by you. It is usually submitted as the final step in order to finish a PhD program. Your dissertation is probably the longest piece of writing you've ever completed. It requires solid research, writing, and analysis skills, and it can be intimidating ...
Dissertation Structure & Layout 101 (+ Examples)
Abstract or executive summary. The dissertation abstract (or executive summary for some degrees) serves to provide the first-time reader (and marker or moderator) with a big-picture view of your research project. It should give them an understanding of the key insights and findings from the research, without them needing to read the rest of the report - in other words, it should be able to ...
PDF Top 100 MBA Dissertation Examples
9. Discussion/Analysis 10. Conclusions 11. Recommendations 12. References 13. Appendices List of top MBA Dissertation Examples "MBA Dissertation Written on the Theories behind Outsourcing" "Critical Success Factors of Customer Relationships Management" "The Multicultural Project Manager" "The Nature of and Pace of Change in China's Business ...
PDF Applying Strategic Analysis in Business strategy to enhance ...
The thesis is to examine the importance of strategic management and strategic analysis, the concepts of sustained competitive advantage, and to present the most fundamental. strategic analysis tools used in business strategy, given the context of the construction. industry where there is an identified-lack of strategy research and analysis.
Business Analysis Dissertations
Dissertations on Business Analysis. Business Analysis is a research discipline that looks to identify business needs and recommend solutions to problems within a business. Providing solutions to identified problems enables change management and may include changes to things such as systems, process, organisational structure etc. ...
A Qualitative Study of the Growth Strategies of Mature Small Businesses
Kozan & Akdeniz, 2014). The general business problem is some mature, small businesses owners are not maximizing profitability and sustaining operations by capitalizing on growth opportunities supported by the SBA leadership. The specific business problem is that some small business managers have limited strategies to
Dissertation examples
These dissertations achieved a mark of 80 or higher: An investigation into the relationship between early exposure and brand loyalty. The relationship between sustained and divided attentional abilities and Autistic Spectrum Disorder traits. Experiences of parents of people with anorexia nervosa: an interpretative phenomenological analysis

Business Analytics Dissertation: what to expect and how to make the most of it

My academic year has been filled with numerous activities. Ever since fresher’s week started in September, there have been things going on (both academic and non-academic) and I can assure you that you will have a very intense and gratifying year as an MSc student.

99 Business Analytics Dissertation Topics and Research Ideas

What is a Business Analytics Dissertation?

Why are Business Analytics Dissertation Topics Important?

Writing Tips for Business Analytics Dissertation

List of Business Analytics Dissertation Topics

Predictive Analytics

Prescriptive Analytics

Descriptive Analytics

Big Data Analytics

Text Analytics

Customer Analytics

Financial Analytics

Operational Analytics

HR Analytics

Healthcare Analytics

Marketing Analytics

Supply Chain Analytics

Retail Analytics

Social Media Analytics

Environmental Analytics

1. What are some common Business Analytics dissertation topics?

2. How do I choose a Business Analytics dissertation topic?

3. What tools are needed for a Business Analytics dissertation?

4. How long does it take to complete a Business Analytics dissertation?

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11 Tips For Writing a Dissertation Data Analysis

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2. Relevance of Collected Data

3. Data Analysis

4. Qualitative Data Analysis

5. Quantitative Data Analysis

6. Data Presentation Tools

7. Include Appendix or Addendum

8. Thoroughness of Data

9. Discussing Data

10. Findings and Results

11. Connection with Literature Review

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Business Dissertation Topics

2024 Business Dissertation Topics

Topic 2: The impact of AI-based tools on business decision making and overall organisational profitability.

Topic 3: How does the HRM function impact the business health of organisations?

Topic 4: The impact of corporate governance on firm performance and internationalisation.

Topic 5: An assessment of the impact of materials management on production efficiency and cost optimisation of business

Latest Business Dissertation Topics

Topic 2: Brand Marketing through social media

Topic 3: Impacts of social media on customer behaviour

Topic 4: What factors influence the consumer's buying decisions?

Topic 5: Black Friday sale strategy to drive sales

Topic 6: The role of Influencer Marketing in increasing sale

Topic 7: Impact of E-marketing on consumer purchase decision: the case of the luxury industry in the UK

Topic 8: Analysis of the customer-centric marketing strategies in attaining competitive advantage for the firm and sustaining business success

Topic 9: Traditional vs. digital marketing: a comparative study of the last ten years

Topic 10: The impact of relationship marketing on customer loyalty: an analysis of the Honda motor

Topic 11: The importance of search Engines in e-commerce

Topic 12: E-Commerce company's advertising strategy-critical analysis

Topic 13: Importance of customer retention in E-commerce

Topic 14: Importance of brand loyalty in Internet marketing

Top Business Dissertation Topics

Topic 2: How corporate social responsibility (CSR) affects customer loyalty: A case study of the UK petroleum industry

Topic 3: Assessing the leadership styles of a non-profit organisation and how they impact the overall business operations

Topic 4: Examining the impact of global business negotiations on cross border mergers and acquisitions

Topic 5: Analysing the impact of forwarding and backward integration on business performance and sustainability

Topic C1: The economic suffering due to the plague of COVID-19

Topic C2: The major sufferings in the economy as a result of the Coronavirus outbreak

Topic C3: Expecting changes in the economic statistics by the outbreak of COVID-19

Topic C4: The major regions and business industries affected by the spread of COVID-19

Business Strategy and Globalisation Dissertation Topics

Topic 6: Why organisations and businesses must change their business strategies in the era of globalisation