case studies in business research methods

Case Study Research

• First Online: 29 September 2022

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• Robert E. White   ORCID: orcid.org/0000-0002-8045-164X 3 &
• Karyn Cooper 4  

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As a footnote to the previous chapter, there is such a beast known as the ethnographic case study. Ethnographic case study has found its way into this chapter rather than into the previous one because of grammatical considerations. Simply put, the “case study” part of the phrase is the noun (with “case” as an adjective defining what kind of study it is), while the “ethnographic” part of the phrase is an adjective defining the type of case study that is being conducted. As such, the case study becomes the methodology, while the ethnography part refers to a method, mode or approach relating to the development of the study.

The experiential account that we get from a case study or qualitative research of a similar vein is just so necessary. How things happen over time and the degree to which they are subject to personality and how they are only gradually perceived as tolerable or intolerable by the communities and the groups that are involved is so important. Robert Stake, University of Illinois, Urbana-Champaign

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Bartlett, L., & Vavrus, F. (2017). Rethinking case study research . Routledge.

Google Scholar  

Bauman, Z. (2000). Liquid modernity . Polity Press.

Bhaskar, R., & Danermark, B. (2006). Metatheory, interdisciplinarity and disability research: A critical realist perspective. Scandinavian Journal of Disability Research, 8 (4), 278–297.

Article   Google Scholar  

Bulmer, M. (1986). The Chicago School of sociology: Institutionalization, diversity, and the rise of sociological research . University of Chicago Press.

Campbell, D. T. (1975). Degrees of freedom and the case study. Comparative Political Studies, 8 (1), 178–191.

Campbell, D. T., & Stanley, J. C. (1966). Experimental and quasi-experimental designs for research . Houghton Mifflin.

Chua, W. F. (1986). Radical developments in accounting thought. The Accounting Review, 61 (4), 601–632.

Creswell, J. W. (2013). Research design: Qualitative, quantitative, and mixed methods approaches (4th ed.). Sage.

Creswell, J. W., & Poth, C. N. (2017). Qualitative inquiry and research design . Sage.

Davey, L. (1991). The application of case study evaluations. Practical Assessment, Research, & Evaluation 2 (9) . Retrieved May 28, 2018, from http://PAREonline.net/getvn.asp?v=2&n=9

Demetriou, H. (2017). The case study. In E. Wilson (Ed.), School-based research: A guide for education students (pp. 124–138). Sage.

Denzin, N. K., & Lincoln, Y. S. (2005). The Sage handbook of qualitative research . Sage.

Flyvbjerg, B. (2004). Five misunderstandings about case-study research. In C. Seale, G. Gobo, J. F. Gubrium, & D. Silverman (Eds.), Qualitative research practice (pp. 420–433). Sage.

Hamel, J., Dufour, S., & Fortin, D. (1993). Case study methods . Sage.

Book   Google Scholar  

Healy, M. E. (1947). Le Play’s contribution to sociology: His method. The American Catholic Sociological Review, 8 (2), 97–110.

Johansson, R. (2003). Case study methodology. [Keynote speech]. In International Conference “Methodologies in Housing Research.” Royal Institute of Technology, Stockholm, September 2003 (pp. 1–14).

Klonoski, R. (2013). The case for case studies: Deriving theory from evidence. Journal of Business Case Studies, 9 (31), 261–266.

McDonough, J., & McDonough, S. (1997). Research methods for English language teachers . Routledge.

Merriam, S. B. (1998). Qualitative research and case study applications in education . Jossey-Bass.

Miles, M. B. (1979). Qualitative data as an attractive nuisance: The problem of analysis. Administrative Science Quarterly, 24 (4), 590–601.

Miles, M. B., & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Sage.

Mills, A. J., Durepos, G. & E. Wiebe (Eds.) (2010). What is a case study? Encyclopedia of case study research, Volumes I and II. Sage.

National Film Board of Canada. (2012, April). Here at home: In search of the real cost of homelessness . [Web documentary]. Retrieved February 9, 2020, from http://athome.nfb.ca/#/athome/home

Popper, K. (2002). Conjectures and refutations: The growth of scientific knowledge . Routledge.

Ridder, H.-G. (2017). The theory contribution of case study research designs. Business Research, 10 (2), 281–305.

Rolls, G. (2005). Classic case studies in psychology . Hodder Education.

Seawright, J., & Gerring, J. (2008). Case-Selection techniques in case study research: A menu of qualitative and quantitative options. Political Research Quarterly, 61 , 294–308.

Stake, R. E. (1995). The art of case study research . Sage.

Stake, R. E. (2005). Multiple case study analysis . Guilford Press.

Swanborn, P. G. (2010). Case study research: What, why and how? Sage.

Thomas, W. I., & Znaniecki, F. (1996). The Polish peasant in Europe and America: A classic work in immigration history . University of Illinois Press.

Yin, R. K. (1981). The case study crisis: Some answers. Administrative Science Quarterly, 26 (1), 58–65.

Yin, R. K. (1991). Advancing rigorous methodologies : A Review of “Towards Rigor in Reviews of Multivocal Literatures….”. Review of Educational Research, 61 (3), 299–305.

Yin, R. K. (1999). Enhancing the quality of case studies in health services research. Health Services Research, 34 (5) Part II, 1209–1224.

Yin, R. K. (2012). Applications of case study research (3rd ed.). Sage.

Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Sage.

Zaretsky, E. (1996). Introduction. In W. I. Thomas & F. Znaniecki (Eds.), The Polish peasant in Europe and America: A classic work in immigration history (pp. vii–xvii). University of Illinois Press.

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A Case in Case Study Methodology

Christine Benedichte Meyer

Norwegian School of Economics and Business Administration

Meyer, C. B. (2001). A Case in Case Study Methodology. Field Methods 13 (4), 329-352.

The purpose of this article is to provide a comprehensive view of the case study process from the researcher’s perspective, emphasizing methodological considerations. As opposed to other qualitative or quantitative research strategies, such as grounded theory or surveys, there are virtually no specific requirements guiding case research. This is both the strength and the weakness of this approach. It is a strength because it allows tailoring the design and data collection procedures to the research questions. On the other hand, this approach has resulted in many poor case studies, leaving it open to criticism, especially from the quantitative field of research. This article argues that there is a particular need in case studies to be explicit about the methodological choices one makes. This implies discussing the wide range of decisions concerned with design requirements, data collection procedures, data analysis, and validity and reliability. The approach here is to illustrate these decisions through a particular case study of two mergers in the financial industry in Norway.

In the past few years, a number of books have been published that give useful guidance in conducting qualitative studies (Gummesson 1988; Cassell & Symon 1994; Miles & Huberman 1994; Creswell 1998; Flick 1998; Rossman & Rallis 1998; Bryman & Burgess 1999; Marshall & Rossman 1999; Denzin & Lincoln 2000). One approach often mentioned is the case study (Yin 1989). Case studies are widely used in organizational studies in the social science disciplines of sociology, industrial relations, and anthropology (Hartley 1994). Such a study consists of detailed investigation of one or more organizations, or groups within organizations, with a view to providing an analysis of the context and processes involved in the phenomenon under study.

As opposed to other qualitative or quantitative research strategies, such as grounded theory (Glaser and Strauss 1967) or surveys (Nachmias & Nachmias 1981), there are virtually no specific requirements guiding case research. Yin (1989) and Eisenhardt (1989) give useful insights into the case study as a research strategy, but leave most of the design decisions on the table. This is both the strength and the weakness of this approach. It is a strength because it allows tailoring the design and data collection procedures to the research questions. On the other hand, this approach has resulted in many poor case studies, leaving it open to criticism, especially from the quantitative field of research (Cook and Campbell 1979). The fact that the case study is a rather loose design implies that there are a number of choices that need to be addressed in a principled way.

Although case studies have become a common research strategy, the scope of methodology sections in articles published in journals is far too limited to give the readers a detailed and comprehensive view of the decisions taken in the particular studies, and, given the format of methodology sections, will remain so. The few books (Yin 1989, 1993; Hamel, Dufour, & Fortin 1993; Stake 1995) and book chapters on case studies (Hartley 1994; Silverman 2000) are, on the other hand, mainly normative and span a broad range of different kinds of case studies. One exception is Pettigrew (1990, 1992), who places the case study in the context of a research tradition (the Warwick process research).

Given the contextual nature of the case study and its strength in addressing contemporary phenomena in real-life contexts, I believe that there is a need for articles that provide a comprehensive overview of the case study process from the researcher’s perspective, emphasizing methodological considerations. This implies addressing the whole range of choices concerning specific design requirements, data collection procedures, data analysis, and validity and reliability.

WHY A CASE STUDY?

Case studies are tailor-made for exploring new processes or behaviors or ones that are little understood (Hartley 1994). Hence, the approach is particularly useful for responding to how and why questions about a contemporary set of events (Leonard-Barton 1990). Moreover, researchers have argued that certain kinds of information can be difficult or even impossible to tackle by means other than qualitative approaches such as the case study (Sykes 1990). Gummesson (1988:76) argues that an important advantage of case study research is the opportunity for a holistic view of the process: “The detailed observations entailed in the case study method enable us to study many different aspects, examine them in relation to each other, view the process within its total environment and also use the researchers’ capacity for ‘verstehen.’ ”

The contextual nature of the case study is illustrated in Yin’s (1993:59) definition of a case study as an empirical inquiry that “investigates a contemporary phenomenon within its real-life context and addresses a situation in which the boundaries between phenomenon and context are not clearly evident.”

The key difference between the case study and other qualitative designs such as grounded theory and ethnography (Glaser & Strauss 1967; Strauss & Corbin 1990; Gioia & Chittipeddi 1991) is that the case study is open to the use of theory or conceptual categories that guide the research and analysis of data. In contrast, grounded theory or ethnography presupposes that theoretical perspectives are grounded in and emerge from firsthand data. Hartley (1994) argues that without a theoretical framework, the researcher is in severe danger of providing description without meaning. Gummesson (1988) says that a lack of preunderstanding will cause the researcher to spend considerable time gathering basic information. This preunderstanding may arise from general knowledge such as theories, models, and concepts or from specific knowledge of institutional conditions and social patterns. According to Gummesson, the key is not to require researchers to have split but dual personalities: “Those who are able to balance on a razor’s edge using their pre-understanding without being its slave” (p. 58).

DESCRIPTION OF THE ILLUSTRATIVE STUDY

The study that will be used for illustrative purposes is a comparative and longitudinal case study of organizational integration in mergers and acquisitions taking place in Norway. The study had two purposes: (1) to identify contextual factors and features of integration that facilitated or impeded organizational integration, and (2) to study how the three dimensions of organizational integration (integration of tasks, unification of power, and integration of cultures and identities) interrelated and evolved over time. Examples of contextual factors were relative power, degree of friendliness, and economic climate. Integration features included factors such as participation, communication, and allocation of positions and functions.

Mergers and acquisitions are inherently complex. Researchers in the field have suggested that managers continuously underestimate the task of integrating the merging organizations in the postintegration process (Haspeslaph & Jemison 1991). The process of organizational integration can lead to sharp interorganizational conflict as the different top management styles, organizational and work unit cultures, systems, and other aspects of organizational life come into contact (Blake & Mounton 1985; Schweiger & Walsh 1990; Cartwright & Cooper 1993). Furthermore, cultural change in mergers and acquisitions is compounded by additional uncertainties, ambiguities, and stress inherent in the combination process (Buono & Bowditch 1989).

I focused on two combinations: one merger and one acquisition. The first case was a merger between two major Norwegian banks, Bergen Bank and DnC (to be named DnB), that started in the late 1980s. The second case was a study of a major acquisition in the insurance industry (i.e., Gjensidige’s acquisition of Forenede), that started in the early 1990s. Both combinations aimed to realize operational synergies though merging the two organizations into one entity. This implied disruption of organizational boundaries and threat to the existing power distribution and organizational cultures.

The study of integration processes in mergers and acquisitions illustrates the need to find a design that opens for exploration of sensitive issues such as power struggles between the two merging organizations. Furthermore, the inherent complexity in the integration process, involving integration of tasks, unification of power, and cultural integration stressed the need for in-depth study of the phenomenon over time. To understand the cultural integration process, the design also had to be linked to the past history of the two organizations.

DESIGN DECISIONS

In the introduction, I stressed that a case is a rather loose design that requires that a number of design choices be made. In this section, I go through the most important choices I faced in the study of organizational integration in mergers and acquisitions. These include: (1) selection of cases; (2) sampling time; (3) choosing business areas, divisions, and sites; and (4) selection of and choices regarding data collection procedures, interviews, documents, and observation.

Selection of Cases

There are several choices involved in selecting cases. First, there is the question of how many cases to include. Second, one must sample cases and decide on a unit of analysis. I will explore these issues subsequently.

Single or Multiple Cases

Case studies can involve single or multiple cases. The problem of single cases is limitations in generalizability and several information-processing biases (Eisenhardt 1989).

One way to respond to these biases is by applying a multi-case approach (Leonard-Barton 1990). Multiple cases augment external validity and help guard against observer biases. Moreover, multi-case sampling adds confidence to findings. By looking at a range of similar and contrasting cases, we can understand a single-case finding, grounding it by specifying how and where and, if possible, why it behaves as it does. (Miles & Huberman 1994)

Given these limitations of the single case study, it is desirable to include more than one case study in the study. However, the desire for depth and a pluralist perspective and tracking the cases over time implies that the number of cases must be fairly few. I chose two cases, which clearly does not support generalizability any more than does one case, but allows for comparison and contrast between the cases as well as a deeper and richer look at each case.

Originally, I planned to include a third case in the study. Due to changes in management during the initial integration process, my access to the case was limited and I left this case entirely. However, a positive side effect was that it allowed a deeper investigation of the two original cases and in hindsight turned out to be a good decision.

Sampling Cases

The logic of sampling cases is fundamentally different from statistical sampling. The logic in case studies involves theoretical sampling, in which the goal is to choose cases that are likely to replicate or extend the emergent theory or to fill theoretical categories and provide examples for polar types (Eisenhardt 1989). Hence, whereas quantitative sampling concerns itself with representativeness, qualitative sampling seeks information richness and selects the cases purposefully rather than randomly (Crabtree and Miller 1992).

The choice of cases was guided by George (1979) and Pettigrew’s (1990) recommendations. The aim was to find cases that matched the three dimensions in the dependent variable and provided variation in the contextual factors, thus representing polar cases.

To match the choice of outcome variable, organizational integration, I chose cases in which the purpose was to fully consolidate the merging parties’ operations. A full consolidation would imply considerable disruption in the organizational boundaries and would be expected to affect the task-related, political, and cultural features of the organizations. As for the contextual factors, the two cases varied in contextual factors such as relative power, friendliness, and economic climate. The DnB merger was a friendly combination between two equal partners in an unfriendly economic climate. Gjensidige’s acquisition of Forenede was, in contrast, an unfriendly and unbalanced acquisition in a friendly economic climate.

Unit of Analysis

Another way to respond to researchers’ and respondents’ biases is to have more than one unit of analysis in each case (Yin 1993). This implies that, in addition to developing contrasts between the cases, researchers can focus on contrasts within the cases (Hartley 1994). In case studies, there is a choice of a holistic or embedded design (Yin 1989). A holistic design examines the global nature of the phenomenon, whereas an embedded design also pays attention to subunit(s).

I used an embedded design to analyze the cases (i.e., within each case, I also gave attention to subunits and subprocesses). In both cases, I compared the combination processes in the various divisions and local networks. Moreover, I compared three distinct change processes in DnB: before the merger, during the initial combination, and two years after the merger. The overall and most important unit of analysis in the two cases was, however, the integration process.

Sampling Time

According to Pettigrew (1990), time sets a reference for what changes can be seen and how those changes are explained. When conducting a case study, there are several important issues to decide when sampling time. The first regards how many times data should be collected, while the second concerns when to enter the organizations. There is also a need to decide whether to collect data on a continuous basis or in distinct periods.

Number of data collections. I studied the process by collecting real time and retrospective data at two points in time, with one-and-a-half- and two-year intervals in the two cases. Collecting data twice had some interesting implications for the interpretations of the data. During the first data collection in the DnB study, for example, I collected retrospective data about the premerger and initial combination phase and real-time data about the second step in the combination process.

Although I gained a picture of how the employees experienced the second stage of the combination process, it was too early to assess the effects of this process at that stage. I entered the organization two years later and found interesting effects that I had not anticipated the first time. Moreover, it was interesting to observe how people’s attitudes toward the merger processes changed over time to be more positive and less emotional.

When to enter the organizations. It would be desirable to have had the opportunity to collect data in the precombination processes. However, researchers are rarely given access in this period due to secrecy. The emphasis in this study was to focus on the postcombination process. As such, the precombination events were classified as contextual factors. This implied that it was most important to collect real-time data after the parties had been given government approval to merge or acquire. What would have been desirable was to gain access earlier in the postcombination process. This was not possible because access had to be negotiated. Due to the change of CEO in the middle of the merger process and the need for renegotiating access, this took longer than expected.

Regarding the second case, I was restricted by the time frame of the study. In essence, I had to choose between entering the combination process as soon as governmental approval was given, or entering the organization at a later stage. In light of the previous studies in the field that have failed to go beyond the initial two years, and given the need to collect data about the cultural integration process, I chose the latter strategy. And I decided to enter the organizations at two distinct periods of time rather than on a continuous basis.

There were several reasons for this approach, some methodological and some practical. First, data collection on a continuous basis would have required use of extensive observation that I didn’t have access to, and getting access to two data collections in DnB was difficult in itself. Second, I had a stay abroad between the first and second data collection in Gjensidige. Collecting data on a continuous basis would probably have allowed for better mapping of the ongoing integration process, but the contrasts between the two different stages in the integration process that I wanted to elaborate would probably be more difficult to detect. In Table 1 I have listed the periods of time in which I collected data in the two combinations.

Sampling Business Areas, Divisions, and Sites

Even when the cases for a study have been chosen, it is often necessary to make further choices within each case to make the cases researchable. The most important criteria that set the boundaries for the study are importance or criticality, relevance, and representativeness. At the time of the data collection, my criteria for making these decisions were not as conscious as they may appear here. Rather, being restricted by time and my own capacity as a researcher, I had to limit the sites and act instinctively. In both cases, I decided to concentrate on the core businesses (criticality criterion) and left out the business units that were only mildly affected by the integration process (relevance criterion). In the choice of regional offices, I used the representativeness criterion as the number of offices widely exceeded the number of sites possible to study. In making these choices, I relied on key informants in the organizations.

SELECTION OF DATA COLLECTION PROCEDURES

The choice of data collection procedures should be guided by the research question and the choice of design. The case study approach typically combines data collection methods such as archives, interviews, questionnaires, and observations (Yin 1989). This triangulated methodology provides stronger substantiation of constructs and hypotheses. However, the choice of data collection methods is also subject to constraints in time, financial resources, and access.

I chose a combination of interviews, archives, and observation, with main emphasis on the first two. Conducting a survey was inappropriate due to the lack of established concepts and indicators. The reason for limited observation, on the other hand, was due to problems in obtaining access early in the study and time and resource constraints. In addition to choosing among several different data collection methods, there are a number of choices to be made for each individual method.

When relying on interviews as the primary data collection method, the issue of building trust between the researcher and the interviewees becomes very important. I addressed this issue by several means. First, I established a procedure of how to approach the interviewees. In most cases, I called them first, then sent out a letter explaining the key features of the project and outlining the broad issues to be addressed in the interview. In this letter, the support from the institution’s top management was also communicated. In most cases, the top management’s support of the project was an important prerequisite for the respondent’s input. Some interviewees did, however, fear that their input would be open to the top management without disguising the information source. Hence, it became important to communicate how I intended to use and store the information.

To establish trust, I also actively used my preunderstanding of the context in the first case and the phenomenon in the second case. As I built up an understanding of the cases, I used this information to gain confidence. The active use of my preunderstanding did, however, pose important challenges in not revealing too much of the research hypotheses and in balancing between asking open-ended questions and appearing knowledgeable.

There are two choices involved in conducting interviews. The first concerns the sampling of interviewees. The second is that you must decide on issues such as the structure of the interviews, use of tape recorder, and involvement of other researchers.

Sampling Interviewees

Following the desire for detailed knowledge of each case and for grasping different participant’s views the aim was, in line with Pettigrew (1990), to apply a pluralist view by describing and analyzing competing versions of reality as seen by actors in the combination processes.

I used four criteria for sampling informants. First, I drew informants from populations representing multiple perspectives. The first data collection in DnB was primarily focused on the top management level. Moreover, most middle managers in the first data collection were employed at the head offices, either in Bergen or Oslo. In the second data collection, I compensated for this skew by including eight local middle managers in the sample. The difference between the number of employees interviewed in DnB and Gjensidige was primarily due to the fact that Gjensidige has three unions, whereas DnB only has one. The distribution of interviewees is outlined in Table 2 .

The second criterion was to use multiple informants. According to Glick et al. (1990), an important advantage of using multiple informants is that the validity of information provided by one informant can be checked against that provided by other informants. Moreover, the validity of the data used by the researcher can be enhanced by resolving the discrepancies among different informants’ reports. Hence, I selected multiple respondents from each perspective.

Third, I focused on key informants who were expected to be knowledgeable about the combination process. These people included top management members, managers, and employees involved in the integration project. To validate the information from these informants, I also used a fourth criterion by selecting managers and employees who had been affected by the process but who were not involved in the project groups.

Structured versus unstructured. In line with the explorative nature of the study, the goal of the interviews was to see the research topic from the perspective of the interviewee, and to understand why he or she came to have this particular perspective. To meet this goal, King (1994:15) recommends that one have “a low degree of structure imposed on the interviewer, a preponderance of open questions, a focus on specific situations and action sequences in the world of the interviewee rather than abstractions and general opinions.” In line with these recommendations, the collection of primary data in this study consists of unstructured interviews.

Using tape recorders and involving other researchers. The majority of the interviews were tape-recorded, and I could thus concentrate fully on asking questions and responding to the interviewees’ answers. In the few interviews that were not tape-recorded, most of which were conducted in the first phase of the DnB-study, two researchers were present. This was useful as we were both able to discuss the interviews later and had feedback on the role of an interviewer.

In hindsight, however, I wish that these interviews had been tape-recorded to maintain the level of accuracy and richness of data. Hence, in the next phases of data collection, I tape-recorded all interviews, with two exceptions (people who strongly opposed the use of this device). All interviews that were tape-recorded were transcribed by me in full, which gave me closeness and a good grasp of the data.

When organizations merge or make acquisitions, there are often a vast number of documents to choose from to build up an understanding of what has happened and to use in the analyses. Furthermore, when firms make acquisitions or merge, they often hire external consultants, each of whom produces more documents. Due to time constraints, it is seldom possible to collect and analyze all these documents, and thus the researcher has to make a selection.

The choice of documentation was guided by my previous experience with merger and acquisition processes and the research question. Hence, obtaining information on the postintegration process was more important than gaining access to the due-diligence analysis. As I learned about the process, I obtained more documents on specific issues. I did not, however, gain access to all the documents I asked for, and, in some cases, documents had been lost or shredded.

The documents were helpful in a number of ways. First, and most important, they were used as inputs to the interview guide and saved me time, because I did not have to ask for facts in the interviews. They were also useful for tracing the history of the organizations and statements made by key people in the organizations. Third, the documents were helpful in counteracting the biases of the interviews. A list of the documents used in writing the cases is shown in Table 3 .

Observation

The major strength of direct observation is that it is unobtrusive and does not require direct interaction with participants (Adler and Adler 1994). Observation produces rigor when it is combined with other methods. When the researcher has access to group processes, direct observation can illuminate the discrepancies between what people said in the interviews and casual conversations and what they actually do (Pettigrew 1990).

As with interviews, there are a number of choices involved in conducting observations. Although I did some observations in the study, I used interviews as the key data collection source. Discussion in this article about observations will thus be somewhat limited. Nevertheless, I faced a number of choices in conducting observations, including type of observation, when to enter, how much observation to conduct, and which groups to observe.

The are four ways in which an observer may gather data: (1) the complete participant who operates covertly, concealing any intention to observe the setting; (2) the participant-as-observer, who forms relationships and participates in activities, but makes no secret of his or her intentions to observe events; (3) the observer-as-participant, who maintains only superficial contact with the people being studied; and (4) the complete observer, who merely stands back and eavesdrops on the proceedings (Waddington 1994).

In this study, I used the second and third ways of observing. The use of the participant-as-observer mode, on which much ethnographic research is based, was rather limited in the study. There were two reasons for this. First, I had limited time available for collecting data, and in my view interviews made more effective use of this limited time than extensive participant observation. Second, people were rather reluctant to let me observe these political and sensitive processes until they knew me better and felt I could be trusted. Indeed, I was dependent on starting the data collection before having built sufficient trust to observe key groups in the integration process. Nevertheless, Gjensidige allowed me to study two employee seminars to acquaint me with the organization. Here I admitted my role as an observer but participated fully in the activities. To achieve variation, I chose two seminars representing polar groups of employees.

As observer-as-participant, I attended a top management meeting at the end of the first data collection in Gjensidige and observed the respondents during interviews and in more informal meetings, such as lunches. All these observations gave me an opportunity to validate the data from the interviews. Observing the top management group was by far the most interesting and rewarding in terms of input.

Both DnB and Gjensidige started to open up for more extensive observation when I was about to finish the data collection. By then, I had built up the trust needed to undertake this approach. Unfortunately, this came a little late for me to take advantage of it.

DATA ANALYSIS

Published studies generally describe research sites and data-collection methods, but give little space to discuss the analysis (Eisenhardt 1989). Thus, one cannot follow how a researcher arrives at the final conclusions from a large volume of field notes (Miles and Huberman 1994).

In this study, I went through the stages by which the data were reduced and analyzed. This involved establishing the chronology, coding, writing up the data according to phases and themes, introducing organizational integration into the analysis, comparing the cases, and applying the theory. I will discuss these phases accordingly.

The first step in the analysis was to establish the chronology of the cases. To do this, I used internal and external documents. I wrote the chronologies up and included appendices in the final report.

The next step was to code the data into phases and themes reflecting the contextual factors and features of integration. For the interviews, this implied marking the text with a specific phase and a theme, and grouping the paragraphs on the same theme and phase together. I followed the same procedure in organizing the documents.

I then wrote up the cases using phases and themes to structure them. Before starting to write up the cases, I scanned the information on each theme, built up the facts and filled in with perceptions and reactions that were illustrative and representative of the data.

The documents were primarily useful in establishing the facts, but they also provided me with some perceptions and reactions that were validated in the interviews. The documents used included internal letters and newsletters as well as articles from the press. The interviews were less factual, as intended, and gave me input to assess perceptions and reactions. The limited observation was useful to validate the data from the interviews. The result of this step was two descriptive cases.

To make each case more analytical, I introduced the three dimensions of organizational integration—integration of tasks, unification of power, and cultural integration—into the analysis. This helped to focus the case and to develop a framework that could be used to compare the cases. The cases were thus structured according to phases, organizational integration, and themes reflecting the factors and features in the study.

I took all these steps to become more familiar with each case as an individual entity. According to Eisenhardt (1989:540), this is a process that “allows the unique patterns of each case to emerge before the investigators push to generalise patterns across cases. In addition it gives investigators a rich familiarity with each case which, in turn, accelerates cross-case comparison.”

The comparison between the cases constituted the next step in the analysis. Here, I used the categories from the case chapters, filled in the features and factors, and compared and contrasted the findings. The idea behind cross-case searching tactics is to force investigators to go beyond initial impressions, especially through the use of structural and diverse lenses on the data. These tactics improve the likelihood of accurate and reliable theory, that is, theory with a close fit to the data (Eisenhardt 1989).

As a result, I had a number of overall themes, concepts, and relationships that had emerged from the within-case analysis and cross-case comparisons. The next step was to compare these emergent findings with theory from the organizational field of mergers and acquisitions, as well as other relevant perspectives.

This method of generalization is known as analytical generalization. In this approach, a previously developed theory is used as a template with which to compare the empirical results of the case study (Yin 1989). This comparison of emergent concepts, theory, or hypotheses with the extant literature involves asking what it is similar to, what it contradicts, and why. The key to this process is to consider a broad range of theory (Eisenhardt 1989). On the whole, linking emergent theory to existent literature enhances the internal validity, generalizability, and theoretical level of theory-building from case research.

According to Eisenhardt (1989), examining literature that conflicts with the emergent literature is important for two reasons. First, the chance of neglecting conflicting findings is reduced. Second, “conflicting results forces researchers into a more creative, frame-breaking mode of thinking than they might otherwise be able to achieve” (p. 544). Similarly, Eisenhardt (1989) claims that literature discussing similar findings is important because it ties together underlying similarities in phenomena not normally associated with each other. The result is often a theory with a stronger internal validity, wider generalizability, and a higher conceptual level.

The analytical generalization in the study included exploring and developing the concepts and examining the relationships between the constructs. In carrying out this analytical generalization, I acted on Eisenhardt’s (1989) recommendation to use a broad range of theory. First, I compared and contrasted the findings with the organizational stream on mergers and acquisition literature. Then I discussed other relevant literatures, including strategic change, power and politics, social justice, and social identity theory to explore how these perspectives could contribute to the understanding of the findings. Finally, I discussed the findings that could not be explained either by the merger and acquisition literature or the four theoretical perspectives.

In every scientific study, questions are raised about whether the study is valid and reliable. The issues of validity and reliability in case studies are just as important as for more deductive designs, but the application is fundamentally different.

VALIDITY AND RELIABILITY

The problems of validity in qualitative studies are related to the fact that most qualitative researchers work alone in the field, they focus on the findings rather than describe how the results were reached, and they are limited in processing information (Miles and Huberman 1994).

Researchers writing about qualitative methods have questioned whether the same criteria can be used for qualitative and quantitative studies (Kirk & Miller 1986; Sykes 1990; Maxwell 1992). The problem with the validity criteria suggested in qualitative research is that there is little consistency across the articles as each author suggests a new set of criteria.

One approach in examining validity and reliability is to apply the criteria used in quantitative research. Hence, the criteria to be examined here are objectivity/intersubjectivity, construct validity, internal validity, external validity, and reliability.

Objectivity/Intersubjectivity

The basic issue of objectivity can be framed as one of relative neutrality and reasonable freedom from unacknowledged research biases (Miles & Huberman 1994). In a real-time longitudinal study, the researcher is in danger of losing objectivity and of becoming too involved with the organization, the people, and the process. Hence, Leonard-Barton (1990) claims that one may be perceived as, and may even become, an advocate rather than an observer.

According to King (1994), however, qualitative research, in seeking to describe and make sense of the world, does not require researchers to strive for objectivity and distance themselves from research participants. Indeed, to do so would make good qualitative research impossible, as the interviewer’s sensitivity to subjective aspects of his or her relationship with the interviewee is an essential part of the research process (King 1994:31).

This does not imply, however, that the issue of possible research bias can be ignored. It is just as important as in a structured quantitative interview that the findings are not simply the product of the researcher’s prejudices and prior experience. One way to guard against this bias is for the researcher to explicitly recognize his or her presuppositions and to make a conscious effort to set these aside in the analysis (Gummesson 1988). Furthermore, rival conclusions should be considered (Miles & Huberman 1994).

My experience from the first phase of the DnB study was that it was difficult to focus the questions and the analysis of the data when the research questions were too vague and broad. As such, developing a framework before collecting the data for the study was useful in guiding the collection and analysis of data. Nevertheless, it was important to be open-minded and receptive to new and surprising data. In the DnB study, for example, the positive effect of the reorganization process on the integration of cultures came as a complete surprise to me and thus needed further elaboration.

I also consciously searched for negative evidence and problems by interviewing outliers (Miles & Huberman 1994) and asking problem-oriented questions. In Gjensidige, the first interviews with the top management revealed a much more positive perception of the cultural integration process than I had expected. To explore whether this was a result of overreliance on elite informants, I continued posing problem-oriented questions to outliers and people at lower levels in the organization. Moreover, I told them about the DnB study to be explicit about my presuppositions.

Another important issue when assessing objectivity is whether other researchers can trace the interpretations made in the case studies, or what is called intersubjectivity. To deal with this issue, Miles & Huberman (1994) suggest that: (1) the study’s general methods and procedures should be described in detail, (2) one should be able to follow the process of analysis, (3) conclusions should be explicitly linked with exhibits of displayed data, and (4) the data from the study should be made available for reanalysis by others.

In response to these requirements, I described the study’s data collection procedures and processing in detail. Then, the primary data were displayed in the written report in the form of quotations and extracts from documents to support and illustrate the interpretations of the data. Because the study was written up in English, I included the Norwegian text in a separate appendix. Finally, all the primary data from the study were accessible for a small group of distinguished researchers.

Construct Validity

Construct validity refers to whether there is substantial evidence that the theoretical paradigm correctly corresponds to observation (Kirk & Miller 1986). In this form of validity, the issue is the legitimacy of the application of a given concept or theory to established facts.

The strength of qualitative research lies in the flexible and responsive interaction between the interviewer and the respondents (Sykes 1990). Thus, meaning can be probed, topics covered easily from a number of angles, and questions made clear for respondents. This is an advantage for exploring the concepts (construct or theoretical validity) and the relationships between them (internal validity). Similarly, Hakim (1987) says the great strength of qualitative research is the validity of data obtained because individuals are interviewed in sufficient detail for the results to be taken as true, correct, and believable reports of their views and experiences.

Construct validity can be strengthened by applying a longitudinal multicase approach, triangulation, and use of feedback loops. The advantage of applying a longitudinal approach is that one gets the opportunity to test sensitivity of construct measures to the passage of time. Leonard-Barton (1990), for example, found that one of her main constructs, communicability, varied across time and relative to different groups of users. Thus, the longitudinal study aided in defining the construct more precisely. By using more than one case study, one can validate stability of construct across situations (Leonard-Barton 1990). Since my study only consists of two case studies, the opportunity to test stability of constructs across cases is somewhat limited. However, the use of more than one unit of analysis helps to overcome this limitation.

Construct validity is strengthened by the use of multiple sources of evidence to build construct measures, which define the construct and distinguish it from other constructs. These multiple sources of evidence can include multiple viewpoints within and across the data sources. My study responds to these requirements in its sampling of interviewees and uses of multiple data sources.

Use of feedback loops implies returning to interviewees with interpretations and developing theory and actively seeking contradictions in data (Crabtree & Miller 1992; King 1994). In DnB, the written report had to be approved by the bank’s top management after the first data collection. Apart from one minor correction, the bank had no objections to the established facts. In their comments on my analysis, some of the top managers expressed the view that the political process had been overemphasized, and that the CEO’s role in initiating a strategic process was undervalued. Hence, an important objective in the second data collection was to explore these comments further. Moreover, the report was not as positive as the management had hoped for, and negotiations had to be conducted to publish the report. The result of these negotiations was that publication of the report was postponed one-and-a-half years.

The experiences from the first data collection in the DnB had some consequences. I was more cautious and brought up the problems of confidentiality and the need to publish at the outset of the Gjensidige study. Also, I had to struggle to get access to the DnB case for the second data collection and some of the information I asked for was not released. At Gjensidige, I sent a preliminary draft of the case chapter to the corporation’s top management for comments, in addition to having second interviews with a small number of people. Beside testing out the factual description, these sessions gave me the opportunity to test out the theoretical categories established as a result of the within-case analysis.

Internal Validity

Internal validity concerns the validity of the postulated relationships among the concepts. The main problem of internal validity as a criterion in qualitative research is that it is often not open to scrutiny. According to Sykes (1990), the researcher can always provide a plausible account and, with careful editing, may ensure its coherence. Recognition of this problem has led to calls for better documentation of the processes of data collection, the data itself, and the interpretative contribution of the researcher. The discussion of how I met these requirements was outlined in the section on objectivity/subjectivity above.

However, there are some advantages in using qualitative methods, too. First, the flexible and responsive methods of data collection allow cross-checking and amplification of information from individual units as it is generated. Respondents’ opinions and understandings can be thoroughly explored. The internal validity results from strategies that eliminate ambiguity and contradiction, filling in detail and establishing strong connections in data.

Second, the longitudinal study enables one to track cause and effect. Moreover, it can make one aware of intervening variables (Leonard-Barton 1990). Eisenhardt (1989:542) states, “Just as hypothesis testing research an apparent relationship may simply be a spurious correlation or may reflect the impact of some third variable on each of the other two. Therefore, it is important to discover the underlying reasons for why the relationship exists.”

Generalizability

According to Mitchell (1983), case studies are not based on statistical inference. Quite the contrary, the inferring process turns exclusively on the theoretically necessary links among the features in the case study. The validity of the extrapolation depends not on the typicality or representativeness of the case but on the cogency of the theoretical reasoning. Hartley (1994:225) claims, “The detailed knowledge of the organization and especially the knowledge about the processes underlying the behaviour and its context can help to specify the conditions under which behaviour can be expected to occur. In other words, the generalisation is about theoretical propositions not about populations.”

Generalizability is normally based on the assumption that this theory may be useful in making sense of similar persons or situations (Maxwell 1992). One way to increase the generalizability is to apply a multicase approach (Leonard-Barton 1990). The advantage of this approach is that one can replicate the findings from one case study to another. This replication logic is similar to that used on multiple experiments (Yin 1993).

Given the choice of two case studies, the generalizability criterion is not supported in this study. Through the discussion of my choices, I have tried to show that I had to strike a balance between the need for depth and mapping changes over time and the number of cases. In doing so, I deliberately chose to provide a deeper and richer look at each case, allowing the reader to make judgments about the applicability rather than making a case for generalizability.

Reliability

Reliability focuses on whether the process of the study is consistent and reasonably stable over time and across researchers and methods (Miles & Huberman 1994). In the context of qualitative research, reliability is concerned with two questions (Sykes 1990): Could the same study carried out by two researchers produce the same findings? and Could a study be repeated using the same researcher and respondents to yield the same findings?

The problem of reliability in qualitative research is that differences between replicated studies using different researchers are to be expected. However, while it may not be surprising that different researchers generate different findings and reach different conclusions, controlling for reliability may still be relevant. Kirk and Miller’s (1986:311) definition takes into account the particular relationship between the researcher’s orientation, the generation of data, and its interpretation:

For reliability to be calculated, it is incumbent on the scientific investigator to document his or her procedure. This must be accomplished at such a level of abstraction that the loci of decisions internal to the project are made apparent. The curious public deserves to know how the qualitative researcher prepares him or herself for the endeavour, and how the data is collected and analysed.

The study addresses these requirements by discussing my point of departure regarding experience and framework, the sampling and data collection procedures, and data analysis.

Case studies often lack academic rigor and are, as such, regarded as inferior to more rigorous methods where there are more specific guidelines for collecting and analyzing data. These criticisms stress that there is a need to be very explicit about the choices one makes and the need to justify them.

One reason why case studies are criticized may be that researchers disagree about the definition and the purpose of carrying out case studies. Case studies have been regarded as a design (Cook and Campbell 1979), as a qualitative methodology (Cassell and Symon 1994), as a particular data collection procedure (Andersen 1997), and as a research strategy (Yin 1989). Furthermore, the purpose for carrying out case studies is unclear. Some regard case studies as supplements to more rigorous qualitative studies to be carried out in the early stage of the research process; others claim that it can be used for multiple purposes and as a research strategy in its own right (Gummesson 1988; Yin 1989). Given this unclear status, researchers need to be very clear about their interpretation of the case study and the purpose of carrying out the study.

This article has taken Yin’s (1989) definition of the case study as a research strategy as a starting point and argued that the choice of the case study should be guided by the research question(s). In the illustrative study, I used a case study strategy because of a need to explore sensitive, ill-defined concepts in depth, over time, taking into account the context and history of the mergers and the existing knowledge about the phenomenon. However, the choice of a case study strategy extended rather than limited the number of decisions to be made. In Schramm’s (1971, cited in Yin 1989:22–23) words, “The essence of a case study, the central tendency among all types of case study, is that it tries to illuminate a decision or set of decisions, why they were taken, how they were implemented, and with what result.”

Hence, the purpose of this article has been to illustrate the wide range of decisions that need to be made in the context of a particular case study and to discuss the methodological considerations linked to these decisions. I argue that there is a particular need in case studies to be explicit about the methodological choices one makes and that these choices can be best illustrated through a case study of the case study strategy.

As in all case studies, however, there are limitations to the generalizability of using one particular case study for illustrative purposes. As such, the strength of linking the methodological considerations to a specific context and phenomenon also becomes a weakness. However, I would argue that the questions raised in this article are applicable to many case studies, but that the answers are very likely to vary. The design choices are shown in Table 4 . Hence, researchers choosing a longitudinal, comparative case study need to address the same set of questions with regard to design, data collection procedures, and analysis, but they are likely to come up with other conclusions, given their different research questions.

Adler, P. A., and P. Adler. 1994. Observational techniques. In Handbook of qualitative research, edited by N. K. Denzin and Y. S. Lincoln, 377–92. London: Sage.

Andersen, S. S. 1997. Case-studier og generalisering: Forskningsstrategi og design (Case studies and generalization: Research strategy and design). Bergen, Norway: Fagbokforlaget.

Blake, R. R., and J. S. Mounton. 1985. How to achieve integration on the human side of the merger. Organizational Dynamics 13 (3): 41–56.

Bryman, A., and R. G. Burgess. 1999. Qualitative research. London: Sage.

Buono, A. F., and J. L. Bowditch. 1989. The human side of mergers and acquisitions. San Francisco: Jossey-Bass.

Cartwright, S., and C. L. Cooper. 1993. The psychological impact of mergers and acquisitions on the individual: A study of building society managers. Human Relations 46 (3): 327–47.

Cassell, C., and G. Symon, eds. 1994. Qualitative methods in organizational research: A practical guide. London: Sage.

Cook, T. D., and D. T. Campbell. 1979. Quasi experimentation: Design & analysis issues for field settings. Boston: Houghton Mifflin.

Crabtree, B. F., and W. L. Miller. 1992. Primary care research: A multimethod typology and qualitative road map. In Doing qualitative research: Methods for primary care, edited by B. F. Crabtree and W. L. Miller, 3–28. Vol. 3. Thousand Oaks, CA: Sage.

Creswell, J. W. 1998. Qualitative inquiry and research design: Choosing among five traditions. Thousand Oaks, CA: Sage.

Denzin, N. K., and L. S. Lincoln. 2000. Handbook of qualitative research. London: Sage.

Eisenhardt, K. M. 1989. Building theories from case study research. Academy of Management Review 14 (4): 532–50.

Flick, U. 1998. An introduction to qualitative research. London: Sage.

George, A. L. 1979. Case studies and theory development: The method of structured, focused comparison. In Diplomacy: New approaches in history, theory, and policy, edited by P. G. Lauren, 43–68. New York: Free Press.

Gioia, D. A., and K. Chittipeddi. 1991. Sensemaking and sensegiving in strategic change initiation. Strategic Management Journal 12:433–48.

Glaser, B. G., and A. L. Strauss. 1967. The discovery of grounded theory: Strategies for qualitative research. Chicago: Aldine.

Glick, W. H, G. P. Huber, C. C. Miller, D. H. Doty, and K. M. Sutcliffe. 1990. Studying changes in organizational design and effectiveness: Retrospective event histories and periodic assessments. Organization Science 1 (3): 293–312.

Gummesson, E. 1988. Qualitative methods in management research. Lund, Norway: Studentlitteratur, Chartwell-Bratt.

Hakim, C. 1987. Research design. Strategies and choices in the design of social research. Boston: Unwin Hyman.

Hamel, J., S. Dufour, and D. Fortin. 1993. Case study methods. London: Sage.

Hartley, J. F. 1994. Case studies in organizational research. In Qualitative methods in organizational research: A practical guide, edited by C. Cassell and G. Symon, 209–29. London: Sage.

Haspeslaph, P., and D. B. Jemison. 1991. The challenge of renewal through acquisitions. Planning Review 19 (2): 27–32.

King, N. 1994. The qualitative research interview. In Qualitative methods in organizational research: A practical guide, edited by C. Cassell and G. Symon, 14–36. London: Sage.

Kirk, J., and M. L. Miller. 1986. Reliability and validity in qualitative research. Qualitative Research Methods Series 1. London: Sage.

Leonard-Barton, D. 1990.Adual methodology for case studies: Synergistic use of a longitudinal single site with replicated multiple sites. Organization Science 1 (3): 248–66.

Marshall, C., and G. B. Rossman. 1999. Designing qualitative research. London: Sage.

Maxwell, J. A. 1992. Understanding and validity in qualitative research. Harvard Educational Review 62 (3): 279–99.

Miles, M. B., and A. M. Huberman. 1994. Qualitative data analysis. 2d ed. London: Sage.

Mitchell, J. C. 1983. Case and situation analysis. Sociology Review 51 (2): 187–211.

Nachmias, C., and D. Nachmias. 1981. Research methods in the social sciences. London: Edward Arnhold.

Pettigrew, A. M. 1990. Longitudinal field research on change: Theory and practice. Organization Science 1 (3): 267–92.

___. (1992). The character and significance of strategic process research. Strategic Management Journal 13:5–16.

Rossman, G. B., and S. F. Rallis. 1998. Learning in the field: An introduction to qualitative research. Thousand Oaks, CA: Sage.

Schramm, W. 1971. Notes on case studies for instructional media projects. Working paper for Academy of Educational Development, Washington DC.

Schweiger, D. M., and J. P. Walsh. 1990. Mergers and acquisitions: An interdisciplinary view. In Research in personnel and human resource management, edited by G. R. Ferris and K. M. Rowland, 41–107. Greenwich, CT: JAI.

Silverman, D. 2000. Doing qualitative research: A practical handbook. London: Sage.

Stake, R. E. 1995. The art of case study research. London: Sage.

Strauss, A. L., and J. Corbin. 1990. Basics of qualitative research: Grounded theory procedures and techniques. Newbury Park, CA: Sage.

Sykes, W. 1990. Validity and reliability in qualitative market research: A review of the literature. Journal of the Market Research Society 32 (3): 289–328.

Waddington, D. 1994. Participant observation. In Qualitative methods in organizational research, edited by C. Cassell and G. Symon, 107–22. London: Sage.

Yin, R. K. 1989. Case study research: Design and methods. Applied Social Research Series, Vol. 5. London: Sage.

___. 1993. Applications of case study research. Applied Social Research Series, Vol. 34. London: Sage.

Christine Benedichte Meyer is an associate professor in the Department of Strategy and Management in the Norwegian School of Economics and Business Administration, Bergen-Sandviken, Norway. Her research interests are mergers and acquisitions, strategic change, and qualitative research. Recent publications include: “Allocation Processes in Mergers and Acquisitions: An Organisational Justice Perspective” (British Journal of Management 2001) and “Motives for Acquisitions in the Norwegian Financial Industry” (CEMS Business Review 1997).

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White, R.E., Cooper, K. (2022). Case Study Research. In: Qualitative Research in the Post-Modern Era. Springer, Cham. https://doi.org/10.1007/978-3-030-85124-8_7

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Case study research: opening up research opportunities

RAUSP Management Journal

ISSN : 2531-0488

Article publication date: 30 December 2019

Issue publication date: 3 March 2020

The case study approach has been widely used in management studies and the social sciences more generally. However, there are still doubts about when and how case studies should be used. This paper aims to discuss this approach, its various uses and applications, in light of epistemological principles, as well as the criteria for rigor and validity.

Design/methodology/approach

This paper discusses the various concepts of case and case studies in the methods literature and addresses the different uses of cases in relation to epistemological principles and criteria for rigor and validity.

The use of this research approach can be based on several epistemologies, provided the researcher attends to the internal coherence between method and epistemology, or what the authors call “alignment.”

Originality/value

This study offers a number of implications for the practice of management research, as it shows how the case study approach does not commit the researcher to particular data collection or interpretation methods. Furthermore, the use of cases can be justified according to multiple epistemological orientations.

• Epistemology

Takahashi, A.R.W. and Araujo, L. (2020), "Case study research: opening up research opportunities", RAUSP Management Journal , Vol. 55 No. 1, pp. 100-111. https://doi.org/10.1108/RAUSP-05-2019-0109

Emerald Publishing Limited

Copyright © 2019, Adriana Roseli Wünsch Takahashi and Luis Araujo.

Published in RAUSP Management Journal . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

1. Introduction

The case study as a research method or strategy brings us to question the very term “case”: after all, what is a case? A case-based approach places accords the case a central role in the research process ( Ragin, 1992 ). However, doubts still remain about the status of cases according to different epistemologies and types of research designs.

Despite these doubts, the case study is ever present in the management literature and represents the main method of management research in Brazil ( Coraiola, Sander, Maccali, & Bulgacov, 2013 ). Between 2001 and 2010, 2,407 articles (83.14 per cent of qualitative research) were published in conferences and management journals as case studies (Takahashi & Semprebom, 2013 ). A search on Spell.org.br for the term “case study” under title, abstract or keywords, for the period ranging from January 2010 to July 2019, yielded 3,040 articles published in the management field. Doing research using case studies, allows the researcher to immerse him/herself in the context and gain intensive knowledge of a phenomenon, which in turn demands suitable methodological principles ( Freitas et al. , 2017 ).

Our objective in this paper is to discuss notions of what constitutes a case and its various applications, considering epistemological positions as well as criteria for rigor and validity. The alignment between these dimensions is put forward as a principle advocating coherence among all phases of the research process.

This article makes two contributions. First, we suggest that there are several epistemological justifications for using case studies. Second, we show that the quality and rigor of academic research with case studies are directly related to the alignment between epistemology and research design rather than to choices of specific forms of data collection or analysis. The article is structured as follows: the following four sections discuss concepts of what is a case, its uses, epistemological grounding as well as rigor and quality criteria. The brief conclusions summarize the debate and invite the reader to delve into the literature on the case study method as a way of furthering our understanding of contemporary management phenomena.

2. What is a case study?

The debate over what constitutes a case in social science is a long-standing one. In 1988, Howard Becker and Charles Ragin organized a workshop to discuss the status of the case as a social science method. As the discussion was inconclusive, they posed the question “What is a case?” to a select group of eight social scientists in 1989, and later to participants in a symposium on the subject. Participants were unable to come up with a consensual answer. Since then, we have witnessed that further debates and different answers have emerged. The original question led to an even broader issue: “How do we, as social scientists, produce results and seem to know what we know?” ( Ragin, 1992 , p. 16).

An important step that may help us start a reflection on what is a case is to consider the phenomena we are looking at. To do that, we must know something about what we want to understand and how we might study it. The answer may be a causal explanation, a description of what was observed or a narrative of what has been experienced. In any case, there will always be a story to be told, as the choice of the case study method demands an answer to what the case is about.

A case may be defined ex ante , prior to the start of the research process, as in Yin’s (2015) classical definition. But, there is no compelling reason as to why cases must be defined ex ante . Ragin (1992 , p. 217) proposed the notion of “casing,” to indicate that what the case is emerges from the research process:

Rather than attempt to delineate the many different meanings of the term “case” in a formal taxonomy, in this essay I offer instead a view of cases that follows from the idea implicit in many of the contributions – that concocting cases is a varied but routine social scientific activity. […] The approach of this essay is that this activity, which I call “casing”, should be viewed in practical terms as a research tactic. It is selectively invoked at many different junctures in the research process, usually to resolve difficult issues in linking ideas and evidence.

In other words, “casing” is tied to the researcher’s practice, to the way he/she delimits or declares a case as a significant outcome of a process. In 2013, Ragin revisited the 1992 concept of “casing” and explored its multiple possibilities of use, paying particular attention to “negative cases.”

According to Ragin (1992) , a case can be centered on a phenomenon or a population. In the first scenario, cases are representative of a phenomenon, and are selected based on what can be empirically observed. The process highlights different aspects of cases and obscures others according to the research design, and allows for the complexity, specificity and context of the phenomenon to be explored. In the alternative, population-focused scenario, the selection of cases precedes the research. Both positive and negative cases are considered in exploring a phenomenon, with the definition of the set of cases dependent on theory and the central objective to build generalizations. As a passing note, it is worth mentioning here that a study of multiple cases requires a definition of the unit of analysis a priori . Otherwise, it will not be possible to make cross-case comparisons.

These two approaches entail differences that go beyond the mere opposition of quantitative and qualitative data, as a case often includes both types of data. Thus, the confusion about how to conceive cases is associated with Ragin’s (1992) notion of “small vs large N,” or McKeown’s (1999) “statistical worldview” – the notion that relevant findings are only those that can be made about a population based on the analysis of representative samples. In the same vein, Byrne (2013) argues that we cannot generate nomothetic laws that apply in all circumstances, periods and locations, and that no social science method can claim to generate invariant laws. According to the same author, case studies can help us understand that there is more than one ideographic variety and help make social science useful. Generalizations still matter, but they should be understood as part of defining the research scope, and that scope points to the limitations of knowledge produced and consumed in concrete time and space.

Thus, what defines the orientation and the use of cases is not the mere choice of type of data, whether quantitative or qualitative, but the orientation of the study. A statistical worldview sees cases as data units ( Byrne, 2013 ). Put differently, there is a clear distinction between statistical and qualitative worldviews; the use of quantitative data does not by itself means that the research is (quasi) statistical, or uses a deductive logic:

Case-based methods are useful, and represent, among other things, a way of moving beyond a useless and destructive tradition in the social sciences that have set quantitative and qualitative modes of exploration, interpretation, and explanation against each other ( Byrne, 2013 , p. 9).

Other authors advocate different understandings of what a case study is. To some, it is a research method, to others it is a research strategy ( Creswell, 1998 ). Sharan Merrian and Robert Yin, among others, began to write about case study research as a methodology in the 1980s (Merrian, 2009), while authors such as Eisenhardt (1989) called it a research strategy. Stake (2003) sees the case study not as a method, but as a choice of what to be studied, the unit of study. Regardless of their differences, these authors agree that case studies should be restricted to a particular context as they aim to provide an in-depth knowledge of a given phenomenon: “A case study is an in-depth description and analysis of a bounded system” (Merrian, 2009, p. 40). According to Merrian, a qualitative case study can be defined by the process through which the research is carried out, by the unit of analysis or the final product, as the choice ultimately depends on what the researcher wants to know. As a product of research, it involves the analysis of a given entity, phenomenon or social unit.

Thus, whether it is an organization, an individual, a context or a phenomenon, single or multiple, one must delimit it, and also choose between possible types and configurations (Merrian, 2009; Yin, 2015 ). A case study may be descriptive, exploratory, explanatory, single or multiple ( Yin, 2015 ); intrinsic, instrumental or collective ( Stake, 2003 ); and confirm or build theory ( Eisenhardt, 1989 ).

both went through the same process of implementing computer labs intended for the use of information and communication technologies in 2007;

both took part in the same regional program (Paraná Digital); and

they shared similar characteristics regarding location (operation in the same neighborhood of a city), number of students, number of teachers and technicians and laboratory sizes.

However, the two institutions differed in the number of hours of program use, with one of them displaying a significant number of hours/use while the other showed a modest number, according to secondary data for the period 2007-2013. Despite the context being similar and the procedures for implementing the technology being the same, the mechanisms of social integration – an idiosyncratic factor of each institution – were different in each case. This explained differences in their use of resource, processes of organizational learning and capacity to absorb new knowledge.

On the other hand, multiple case studies seek evidence in different contexts and do not necessarily require direct comparisons ( Stake, 2003 ). Rather, there is a search for patterns of convergence and divergence that permeate all the cases, as the same issues are explored in every case. Cases can be added progressively until theoretical saturation is achieved. An example is of a study that investigated how entrepreneurial opportunity and management skills were developed through entrepreneurial learning ( Zampier & Takahashi, 2014 ). The authors conducted nine case studies, based on primary and secondary data, with each one analyzed separately, so a search for patterns could be undertaken. The convergence aspects found were: the predominant way of transforming experience into knowledge was exploitation; managerial skills were developed through by taking advantages of opportunities; and career orientation encompassed more than one style. As for divergence patterns: the experience of success and failure influenced entrepreneurs differently; the prevailing rationality logic of influence was different; and the combination of styles in career orientation was diverse.

A full discussion of choice of case study design is outside the scope of this article. For the sake of illustration, we make a brief mention to other selection criteria such as the purpose of the research, the state of the art of the research theme, the time and resources involved and the preferred epistemological position of the researcher. In the next section, we look at the possibilities of carrying out case studies in line with various epistemological traditions, as the answers to the “what is a case?” question reveal varied methodological commitments as well as diverse epistemological and ontological positions ( Ragin, 2013 ).

3. Epistemological positioning of case study research

Ontology and epistemology are like skin, not a garment to be occasionally worn ( Marsh & Furlong, 2002 ). According to these authors, ontology and epistemology guide the choice of theory and method because they cannot or should not be worn as a garment. Hence, one must practice philosophical “self-knowledge” to recognize one’s vision of what the world is and of how knowledge of that world is accessed and validated. Ontological and epistemological positions are relevant in that they involve the positioning of the researcher in social science and the phenomena he or she chooses to study. These positions do not tend to vary from one project to another although they can certainly change over time for a single researcher.

Ontology is the starting point from which the epistemological and methodological positions of the research arise ( Grix, 2002 ). Ontology expresses a view of the world, what constitutes reality, nature and the image one has of social reality; it is a theory of being ( Marsh & Furlong, 2002 ). The central question is the nature of the world out there regardless of our ability to access it. An essentialist or foundationalist ontology acknowledges that there are differences that persist over time and these differences are what underpin the construction of social life. An opposing, anti-foundationalist position presumes that the differences found are socially constructed and may vary – i.e. they are not essential but specific to a given culture at a given time ( Marsh & Furlong, 2002 ).

Epistemology is centered around a theory of knowledge, focusing on the process of acquiring and validating knowledge ( Grix, 2002 ). Positivists look at social phenomena as a world of causal relations where there is a single truth to be accessed and confirmed. In this tradition, case studies test hypotheses and rely on deductive approaches and quantitative data collection and analysis techniques. Scholars in the field of anthropology and observation-based qualitative studies proposed alternative epistemologies based on notions of the social world as a set of manifold and ever-changing processes. In management studies since the 1970s, the gradual acceptance of qualitative research has generated a diverse range of research methods and conceptions of the individual and society ( Godoy, 1995 ).

The interpretative tradition, in direct opposition to positivism, argues that there is no single objective truth to be discovered about the social world. The social world and our knowledge of it are the product of social constructions. Thus, the social world is constituted by interactions, and our knowledge is hermeneutic as the world does not exist independent of our knowledge ( Marsh & Furlong, 2002 ). The implication is that it is not possible to access social phenomena through objective, detached methods. Instead, the interaction mechanisms and relationships that make up social constructions have to be studied. Deductive approaches, hypothesis testing and quantitative methods are not relevant here. Hermeneutics, on the other hand, is highly relevant as it allows the analysis of the individual’s interpretation, of sayings, texts and actions, even though interpretation is always the “truth” of a subject. Methods such as ethnographic case studies, interviews and observations as data collection techniques should feed research designs according to interpretivism. It is worth pointing out that we are to a large extent, caricaturing polar opposites rather characterizing a range of epistemological alternatives, such as realism, conventionalism and symbolic interactionism.

If diverse ontologies and epistemologies serve as a guide to research approaches, including data collection and analysis methods, and if they should be regarded as skin rather than clothing, how does one make choices regarding case studies? What are case studies, what type of knowledge they provide and so on? The views of case study authors are not always explicit on this point, so we must delve into their texts to glean what their positions might be.

Two of the cited authors in case study research are Robert Yin and Kathleen Eisenhardt. Eisenhardt (1989) argues that a case study can serve to provide a description, test or generate a theory, the latter being the most relevant in contributing to the advancement of knowledge in a given area. She uses terms such as populations and samples, control variables, hypotheses and generalization of findings and even suggests an ideal number of case studies to allow for theory construction through replication. Although Eisenhardt includes observation and interview among her recommended data collection techniques, the approach is firmly anchored in a positivist epistemology:

Third, particularly in comparison with Strauss (1987) and Van Maanen (1988), the process described here adopts a positivist view of research. That is, the process is directed toward the development of testable hypotheses and theory which are generalizable across settings. In contrast, authors like Strauss and Van Maanen are more concerned that a rich, complex description of the specific cases under study evolve and they appear less concerned with development of generalizable theory ( Eisenhardt, 1989 , p. 546).

This position attracted a fair amount of criticism. Dyer & Wilkins (1991) in a critique of Eisenhardt’s (1989) article focused on the following aspects: there is no relevant justification for the number of cases recommended; it is the depth and not the number of cases that provides an actual contribution to theory; and the researcher’s purpose should be to get closer to the setting and interpret it. According to the same authors, discrepancies from prior expectations are also important as they lead researchers to reflect on existing theories. Eisenhardt & Graebner (2007 , p. 25) revisit the argument for the construction of a theory from multiple cases:

A major reason for the popularity and relevance of theory building from case studies is that it is one of the best (if not the best) of the bridges from rich qualitative evidence to mainstream deductive research.

Although they recognize the importance of single-case research to explore phenomena under unique or rare circumstances, they reaffirm the strength of multiple case designs as it is through them that better accuracy and generalization can be reached.

Likewise, Robert Yin emphasizes the importance of variables, triangulation in the search for “truth” and generalizable theoretical propositions. Yin (2015 , p. 18) suggests that the case study method may be appropriate for different epistemological orientations, although much of his work seems to invoke a realist epistemology. Authors such as Merrian (2009) and Stake (2003) suggest an interpretative version of case studies. Stake (2003) looks at cases as a qualitative option, where the most relevant criterion of case selection should be the opportunity to learn and understand a phenomenon. A case is not just a research method or strategy; it is a researcher’s choice about what will be studied:

Even if my definition of case study was agreed upon, and it is not, the term case and study defy full specification (Kemmis, 1980). A case study is both a process of inquiry about the case and the product of that inquiry ( Stake, 2003 , p. 136).

Later, Stake (2003 , p. 156) argues that:

[…] the purpose of a case report is not to represent the world, but to represent the case. […] The utility of case research to practitioners and policy makers is in its extension of experience.

Still according to Stake (2003 , pp. 140-141), to do justice to complex views of social phenomena, it is necessary to analyze the context and relate it to the case, to look for what is peculiar rather than common in cases to delimit their boundaries, to plan the data collection looking for what is common and unusual about facts, what could be valuable whether it is unique or common:

Reflecting upon the pertinent literature, I find case study methodology written largely by people who presume that the research should contribute to scientific generalization. The bulk of case study work, however, is done by individuals who have intrinsic interest in the case and little interest in the advance of science. Their designs aim the inquiry toward understanding of what is important about that case within its own world, which is seldom the same as the worlds of researchers and theorists. Those designs develop what is perceived to be the case’s own issues, contexts, and interpretations, its thick descriptions . In contrast, the methods of instrumental case study draw the researcher toward illustrating how the concerns of researchers and theorists are manifest in the case. Because the critical issues are more likely to be know in advance and following disciplinary expectations, such a design can take greater advantage of already developed instruments and preconceived coding schemes.

The aforementioned authors were listed to illustrate differences and sometimes opposing positions on case research. These differences are not restricted to a choice between positivism and interpretivism. It is worth noting that Ragin’s (2013 , p. 523) approach to “casing” is compatible with the realistic research perspective:

In essence, to posit cases is to engage in ontological speculation regarding what is obdurately real but only partially and indirectly accessible through social science. Bringing a realist perspective to the case question deepens and enriches the dialogue, clarifying some key issues while sweeping others aside.

cases are actual entities, reflecting their operations of real causal mechanism and process patterns;

case studies are interactive processes and are open to revisions and refinements; and

social phenomena are complex, contingent and context-specific.

Ragin (2013 , p. 532) concludes:

Lurking behind my discussion of negative case, populations, and possibility analysis is the implication that treating cases as members of given (and fixed) populations and seeking to infer the properties of populations may be a largely illusory exercise. While demographers have made good use of the concept of population, and continue to do so, it is not clear how much the utility of the concept extends beyond their domain. In case-oriented work, the notion of fixed populations of cases (observations) has much less analytic utility than simply “the set of relevant cases,” a grouping that must be specified or constructed by the researcher. The demarcation of this set, as the work of case-oriented researchers illustrates, is always tentative, fluid, and open to debate. It is only by casing social phenomena that social scientists perceive the homogeneity that allows analysis to proceed.

In summary, case studies are relevant and potentially compatible with a range of different epistemologies. Researchers’ ontological and epistemological positions will guide their choice of theory, methodologies and research techniques, as well as their research practices. The same applies to the choice of authors describing the research method and this choice should be coherent. We call this research alignment , an attribute that must be judged on the internal coherence of the author of a study, and not necessarily its evaluator. The following figure illustrates the interrelationship between the elements of a study necessary for an alignment ( Figure 1 ).

In addition to this broader aspect of the research as a whole, other factors should be part of the researcher’s concern, such as the rigor and quality of case studies. We will look into these in the next section taking into account their relevance to the different epistemologies.

4. Rigor and quality in case studies

Traditionally, at least in positivist studies, validity and reliability are the relevant quality criteria to judge research. Validity can be understood as external, internal and construct. External validity means identifying whether the findings of a study are generalizable to other studies using the logic of replication in multiple case studies. Internal validity may be established through the theoretical underpinning of existing relationships and it involves the use of protocols for the development and execution of case studies. Construct validity implies defining the operational measurement criteria to establish a chain of evidence, such as the use of multiple sources of evidence ( Eisenhardt, 1989 ; Yin, 2015 ). Reliability implies conducting other case studies, instead of just replicating results, to minimize the errors and bias of a study through case study protocols and the development of a case database ( Yin, 2015 ).

Several criticisms have been directed toward case studies, such as lack of rigor, lack of generalization potential, external validity and researcher bias. Case studies are often deemed to be unreliable because of a lack of rigor ( Seuring, 2008 ). Flyvbjerg (2006 , p. 219) addresses five misunderstandings about case-study research, and concludes that:

[…] a scientific discipline without a large number of thoroughly executed case studies is a discipline without systematic production of exemplars, and a discipline without exemplars is an ineffective one.

theoretical knowledge is more valuable than concrete, practical knowledge;

the case study cannot contribute to scientific development because it is not possible to generalize on the basis of an individual case;

the case study is more useful for generating rather than testing hypotheses;

the case study contains a tendency to confirm the researcher’s preconceived notions; and

it is difficult to summarize and develop general propositions and theories based on case studies.

These criticisms question the validity of the case study as a scientific method and should be corrected.

The critique of case studies is often framed from the standpoint of what Ragin (2000) labeled large-N research. The logic of small-N research, to which case studies belong, is different. Cases benefit from depth rather than breadth as they: provide theoretical and empirical knowledge; contribute to theory through propositions; serve not only to confirm knowledge, but also to challenge and overturn preconceived notions; and the difficulty in summarizing their conclusions is because of the complexity of the phenomena studies and not an intrinsic limitation of the method.

Thus, case studies do not seek large-scale generalizations as that is not their purpose. And yet, this is a limitation from a positivist perspective as there is an external reality to be “apprehended” and valid conclusions to be extracted for an entire population. If positivism is the epistemology of choice, the rigor of a case study can be demonstrated by detailing the criteria used for internal and external validity, construct validity and reliability ( Gibbert & Ruigrok, 2010 ; Gibbert, Ruigrok, & Wicki, 2008 ). An example can be seen in case studies in the area of information systems, where there is a predominant orientation of positivist approaches to this method ( Pozzebon & Freitas, 1998 ). In this area, rigor also involves the definition of a unit of analysis, type of research, number of cases, selection of sites, definition of data collection and analysis procedures, definition of the research protocol and writing a final report. Creswell (1998) presents a checklist for researchers to assess whether the study was well written, if it has reliability and validity and if it followed methodological protocols.

In case studies with a non-positivist orientation, rigor can be achieved through careful alignment (coherence among ontology, epistemology, theory and method). Moreover, the concepts of validity can be understood as concern and care in formulating research, research development and research results ( Ollaik & Ziller, 2012 ), and to achieve internal coherence ( Gibbert et al. , 2008 ). The consistency between data collection and interpretation, and the observed reality also help these studies meet coherence and rigor criteria. Siggelkow (2007) argues that a case study should be persuasive and that even a single case study may be a powerful example to contest a widely held view. To him, the value of a single case study or studies with few cases can be attained by their potential to provide conceptual insights and coherence to the internal logic of conceptual arguments: “[…] a paper should allow a reader to see the world, and not just the literature, in a new way” ( Siggelkow, 2007 , p. 23).

Interpretative studies should not be justified by criteria derived from positivism as they are based on a different ontology and epistemology ( Sandberg, 2005 ). The rejection of an interpretive epistemology leads to the rejection of an objective reality: “As Bengtsson points out, the life-world is the subjects’ experience of reality, at the same time as it is objective in the sense that it is an intersubjective world” ( Sandberg, 2005 , p. 47). In this event, how can one demonstrate what positivists call validity and reliability? What would be the criteria to justify knowledge as truth, produced by research in this epistemology? Sandberg (2005 , p. 62) suggests an answer based on phenomenology:

This was demonstrated first by explicating life-world and intentionality as the basic assumptions underlying the interpretative research tradition. Second, based on those assumptions, truth as intentional fulfillment, consisting of perceived fulfillment, fulfillment in practice, and indeterminate fulfillment, was proposed. Third, based on the proposed truth constellation, communicative, pragmatic, and transgressive validity and reliability as interpretative awareness were presented as the most appropriate criteria for justifying knowledge produced within interpretative approach. Finally, the phenomenological epoché was suggested as a strategy for achieving these criteria.

From this standpoint, the research site must be chosen according to its uniqueness so that one can obtain relevant insights that no other site could provide ( Siggelkow, 2007 ). Furthermore, the view of what is being studied is at the center of the researcher’s attention to understand its “truth,” inserted in a given context.

The case researcher is someone who can reduce the probability of misinterpretations by analyzing multiple perceptions, searches for data triangulation to check for the reliability of interpretations ( Stake, 2003 ). It is worth pointing out that this is not an option for studies that specifically seek the individual’s experience in relation to organizational phenomena.

In short, there are different ways of seeking rigor and quality in case studies, depending on the researcher’s worldview. These different forms pervade everything from the research design, the choice of research questions, the theory or theories to look at a phenomenon, research methods, the data collection and analysis techniques, to the type and style of research report produced. Validity can also take on different forms. While positivism is concerned with validity of the research question and results, interpretivism emphasizes research processes without neglecting the importance of the articulation of pertinent research questions and the sound interpretation of results ( Ollaik & Ziller, 2012 ). The means to achieve this can be diverse, such as triangulation (of multiple theories, multiple methods, multiple data sources or multiple investigators), pre-tests of data collection instrument, pilot case, study protocol, detailed description of procedures such as field diary in observations, researcher positioning (reflexivity), theoretical-empirical consistency, thick description and transferability.

5. Conclusions

The central objective of this article was to discuss concepts of case study research, their potential and various uses, taking into account different epistemologies as well as criteria of rigor and validity. Although the literature on methodology in general and on case studies in particular, is voluminous, it is not easy to relate this approach to epistemology. In addition, method manuals often focus on the details of various case study approaches which confuse things further.

Faced with this scenario, we have tried to address some central points in this debate and present various ways of using case studies according to the preferred epistemology of the researcher. We emphasize that this understanding depends on how a case is defined and the particular epistemological orientation that underpins that conceptualization. We have argued that whatever the epistemological orientation is, it is possible to meet appropriate criteria of research rigor and quality provided there is an alignment among the different elements of the research process. Furthermore, multiple data collection techniques can be used in in single or multiple case study designs. Data collection techniques or the type of data collected do not define the method or whether cases should be used for theory-building or theory-testing.

Finally, we encourage researchers to consider case study research as one way to foster immersion in phenomena and their contexts, stressing that the approach does not imply a commitment to a particular epistemology or type of research, such as qualitative or quantitative. Case study research allows for numerous possibilities, and should be celebrated for that diversity rather than pigeon-holed as a monolithic research method.

The interrelationship between the building blocks of research

Byrne , D. ( 2013 ). Case-based methods: Why We need them; what they are; how to do them . Byrne D. In D Byrne. and C.C Ragin (Eds.), The SAGE handbooks of Case-Based methods , pp. 1 – 10 . London : SAGE Publications Inc .

Creswell , J. W. ( 1998 ). Qualitative inquiry and research design: choosing among five traditions , London : Sage Publications .

Coraiola , D. M. , Sander , J. A. , Maccali , N. & Bulgacov , S. ( 2013 ). Estudo de caso . In A. R. W. Takahashi , (Ed.), Pesquisa qualitativa em administração: Fundamentos, métodos e usos no Brasil , pp. 307 – 341 . São Paulo : Atlas .

Dyer , W. G. , & Wilkins , A. L. ( 1991 ). Better stories, not better constructs, to generate better theory: a rejoinder to Eisenhardt . The Academy of Management Review , 16 , 613 – 627 .

Eisenhardt , K. ( 1989 ). Building theory from case study research . Academy of Management Review , 14 , 532 – 550 .

Eisenhardt , K. M. , & Graebner , M. E. ( 2007 ). Theory building from cases: Opportunities and challenges . Academy of Management Journal , 50 , 25 – 32 .

Flyvbjerg , B. ( 2006 ). Five misunderstandings about case-study research . Qualitative Inquiry , 12 , 219 – 245 .

Freitas , J. S. , Ferreira , J. C. A. , Campos , A. A. R. , Melo , J. C. F. , Cheng , L. C. , & Gonçalves , C. A. ( 2017 ). Methodological roadmapping: a study of centering resonance analysis . RAUSP Management Journal , 53 , 459 – 475 .

Gibbert , M. , Ruigrok , W. , & Wicki , B. ( 2008 ). What passes as a rigorous case study? . Strategic Management Journal , 29 , 1465 – 1474 .

Gibbert , M. , & Ruigrok , W. ( 2010 ). The “what” and “how” of case study rigor: Three strategies based on published work . Organizational Research Methods , 13 , 710 – 737 .

Godoy , A. S. ( 1995 ). Introdução à pesquisa qualitativa e suas possibilidades . Revista de Administração de Empresas , 35 , 57 – 63 .

Grix , J. ( 2002 ). Introducing students to the generic terminology of social research . Politics , 22 , 175 – 186 .

Marsh , D. , & Furlong , P. ( 2002 ). A skin, not a sweater: ontology and epistemology in political science . In D Marsh. , & G Stoker , (Eds.), Theory and Methods in Political Science , New York, NY : Palgrave McMillan , pp. 17 – 41 .

McKeown , T. J. ( 1999 ). Case studies and the statistical worldview: Review of King, Keohane, and Verba’s designing social inquiry: Scientific inference in qualitative research . International Organization , 53 , 161 – 190 .

Merriam , S. B. ( 2009 ). Qualitative research: a guide to design and implementation .

Ollaik , L. G. , & Ziller , H. ( 2012 ). Distintas concepções de validade em pesquisas qualitativas . Educação e Pesquisa , 38 , 229 – 241 .

Picoli , F. R. , & Takahashi , A. R. W. ( 2016 ). Capacidade de absorção, aprendizagem organizacional e mecanismos de integração social . Revista de Administração Contemporânea , 20 , 1 – 20 .

Pozzebon , M. , & Freitas , H. M. R. ( 1998 ). Pela aplicabilidade: com um maior rigor científico – dos estudos de caso em sistemas de informação . Revista de Administração Contemporânea , 2 , 143 – 170 .

Sandberg , J. ( 2005 ). How do we justify knowledge produced within interpretive approaches? . Organizational Research Methods , 8 , 41 – 68 .

Seuring , S. A. ( 2008 ). Assessing the rigor of case study research in supply chain management. Supply chain management . Supply Chain Management: An International Journal , 13 , 128 – 137 .

Siggelkow , N. ( 2007 ). Persuasion with case studies . Academy of Management Journal , 50 , 20 – 24 .

Stake , R. E. ( 2003 ). Case studies . In N. K. , Denzin , & Y. S. , Lincoln (Eds.). Strategies of Qualitative Inquiry , London : Sage Publications . pp. 134 – 164 .

Takahashi , A. R. W. , & Semprebom , E. ( 2013 ). Resultados gerais e desafios . In A. R. W. , Takahashi (Ed.), Pesquisa qualitativa em administração: Fundamentos, métodos e usos no brasil , pp. 343 – 354 . São Paulo : Atlas .

Ragin , C. C. ( 1992 ). Introduction: Cases of “what is a case? . In H. S. , Becker , & C. C. Ragin and (Eds). What is a case? Exploring the foundations of social inquiry , pp. 1 – 18 .

Ragin , C. C. ( 2013 ). Reflections on casing and Case-Oriented research . In D , Byrne. , & C. C. Ragin (Eds.), The SAGE handbooks of Case-Based methods , London : SAGE Publications , pp. 522 – 534 .

Yin , R. K. ( 2015 ). Estudo de caso: planejamento e métodos , Porto Alegre : Bookman .

Zampier , M. A. , & Takahashi , A. R. W. ( 2014 ). Aprendizagem e competências empreendedoras: Estudo de casos de micro e pequenas empresas do setor educacional . RGO Revista Gestão Organizacional , 6 , 1 – 18 .

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Author contributions: Both authors contributed equally.

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Types of Business Research

What is business research.

Business Research represents a structured approach to collecting appropriate information concerning a firm’s operations to optimize profits and facilitate well-informed decision-making. This process includes acquiring comprehensive data about diverse aspects of business, including market dynamics, consumer trends, and competitive landscapes, to pinpoint opportunities, minimize expenses, and boost overall business efficacy.

Key Takeaways: Business Research involves structured data collection to optimize profits and inform decision-making . Qualitative Research gathers non-numerical data for deep understanding. It includes interviews, focus groups, ethnographic studies, website visitor research, observational studies, and case studies. Quantitative Research quantifies social phenomena using statistical methods. Types of quantitative research include survey research, correlational research, causal-comparative research, experimental research, and literature research.

Table of Content

I. Qualitative Research

1. interviews, 2. focus groups, 3. ethnographic research, 4. website visitor research, 5. observational studies, 6. case study, ii. quantitative research, 1. survey research, 2. correlational research, 3. causal-comparative research, 4. experimental research, 5. literature research.

Qualitative Research is about gathering and studying information that isn’t numbers, like videos, words, or sounds, to grasp ideas, opinions, or experiences. It helps us dig deep into issues or come up with fresh research ideas. Unlike quantitative research, which deals with numbers, qualitative research focuses on understanding things more deeply rather than crushing statistics.

Interviews focus on a one-on-one dialogue between a researcher and a participant, aiming to delve into profound insights, opinions, and experiences concerning a specific subject.

• Open Exploration: Interviews allow for open-ended and examining inquiries, enabling the exploration of intricate topics in depth.
• Non-verbal Insight: They provide the opportunity to observe non-verbal hints and establish rapport with the participant, fostering a deeper understanding.
• Clarification Opportunity: Additionally, interviews empower the researcher to seek further context and explain responses as necessary, ensuring clarity and depth in data collection.

Advantages:

• Rich Data Yield: Interviews get comprehensive and detailed data from the participants’ viewpoints, offering valuable insights into their perspectives.
• Personalized Interaction: They offer a personalized and interactive research methodology, allowing for tailored inquiries based on participant responses.
• Flexibility: Interviews provide flexibility to adapt the questioning and focus areas based on the participant’s feedback, enhancing the depth of understanding.

Disadvantages:

• Resource Intensiveness: Conducting and analyzing interviews can be time-consuming and resource-intensive, requiring substantial investment .
• Potential for Bias: There’s a risk of interviewer bias or participant reactivity influencing the data, which may compromise its objectivity.
• Generalization Challenges : Findings from interviews may be challenging to generalize due to the limited sample size, potentially limiting broader applicability.

For example, researchers from the Indian Institute of Management in Ahmedabad engaged in in-depth interviews with rural entrepreneurs in Gujarat to separate the motivations and hurdles underlying their entrepreneurial aspirations.

Focus groups involve small group discussions, typically comprising 6–12 participants, facilitated by a researcher to explore attitudes, perceptions, and behaviors around a specific topic.

• Interactive Discussions: Focus Groups encourage group interaction and dynamic discussions among participants, supporting a collaborative exploration of the topic.
• Observational Insight: They allow the researcher to observe non-verbal clues and group dynamics, providing additional layers of understanding.
• Effortless Analysis: Additionally, focus groups provide the flexibility to analyze and follow up on interesting insights, enhancing the depth of exploration.
• Contextual Data Generation: Focus Groups generate rich, contextual data through group interactions, offering insights into shared perspectives.
• Diverse Perspectives: They enable the researcher to gather diverse perspectives on a topic, enriching the understanding of complex phenomena.
• Cost-effectiveness: Focus Groups offer a cost-effective and efficient way to collect qualitative data compared to other methods, optimizing resource utilization.
• Influence of Group Dynamics : There’s a risk that group dynamics may influence individual responses, potentially leading to conformity bias or dominant participant effects.
• Generalization Challenges: Findings from focus groups may be difficult to generalize due to the small sample size and the specific context of the discussion.
• Facilitation Complexity: Skilled facilitation is required to manage group dynamics and ensure balanced participation, adding a layer of complexity to the process.

For example, the National Institute of Design in India conducted focus group discussions with urban consumers to understand their preferences and attitudes towards sustainable fashion products.

Ethnographic Research involves the in-depth study of a cultural group or community, where the researcher immerses themselves in the natural setting to observe and understand the group’s behaviors, customs, and interactions.

• Extended Engagement: Ethnographic Research focuses on the researcher’s prolonged immersion and observation within the research setting, allowing for in-depth understanding.
• Cultural Context Focus: It focuses on understanding the cultural context and meanings behind behaviors and practices, uncovering deeper layers of understanding.
• Multi-method Approach: Additionally, ethnographic research utilizes a range of data collection methods, such as participant observation, interviews, and document analysis, ensuring comprehensive data collection.
• Holistic Understanding: Ethnographic Research provides a holistic and contextual understanding of the subject, capturing the complexities of human behavior and culture.
• Rich Data Capture: It generates rich, detailed data that captures the variations of human behavior and cultural practices, offering insights that may not be accessible through other methods.
• Insight Unveiling: Ethnographic Research allows the researcher to uncover hidden insights and challenge assumptions, shedding light on complex societal phenomena.
• Resource Intensiveness: Conducting ethnographic research requires significant time and resources for the researcher to immerse themselves in the field, which can be challenging to sustain.
• Potential for Bias: There’s a risk of researcher bias and subjectivity due to the close involvement with the research subject, which may influence data interpretation.
• Generalization Challenges: Findings from ethnographic research may be difficult to generalize due to the unique cultural context of the study, limiting broader applicability.

For example, anthropologists from the Tata Institute of Social Sciences conducted an ethnographic study of the Warli tribal community in Maharashtra, India, to understand their traditional art, rituals, and livelihood practices.

Website Visitor Research involves the study of user behavior, preferences, and interactions on a website or digital platform to understand the user experience and inform design and content decisions.

• Diverse Data Collection Methods: Website Visitor Research utilizes various data collection methods, such as web analytics, user testing, and online surveys, to gather comprehensive insights.
• User Journey Understanding: It focuses on understanding the user’s journey, pain points, and decision-making processes, providing valuable information for website optimization.
• Effectiveness Evaluation: Website Visitor Research evaluates the effectiveness of the website’s design, content, and functionality in engaging users and achieving desired outcomes.
• Data-driven Insights: Website Visitor Research generates data-driven insights to optimize the website for better user engagement and conversion, boosting overall performance.
• User Feedback Utilization: It enables the identification of user pain points and opportunities for improvement, guiding iterative design and content enhancements.
• Cost-effectiveness: Website Visitor Research provides a cost-effective and scalable way to gather user feedback and behavior data compared to traditional methods.
• Reliance on Self-reported Data: There’s a reliance on self-reported data from surveys or user testing, which may be subject to bias and inaccuracies.
• Causality Establishment Difficulty: Difficulty exists in establishing causality between website elements and user behavior, requiring careful interpretation of data.
• Researcher Presence Influence: There’s a potential for changes in user behavior due to the presence of the researcher, impacting the validity of findings.

For example, the e-commerce platform Flipkart conducted extensive website visitor research, including user testing and analytics, to understand the browsing and purchasing behavior of its customers and optimize the platform’s user experience.

Observational Studies involve the systematic observation and recording of human behavior, activities, and interactions in their natural environment without direct intervention from the researcher.

• Real-world Context: Observational Studies focus on understanding the context and natural behaviors of the research subjects, providing insights into everyday situations.
• Data Collection Techniques: Techniques such as direct observation, video recording, and field notes are utilized to gather data on human behavior and interactions.
• Non-verbal Behavior Observation: They allow the researcher to gather data on non-verbal hints and spontaneous behaviors, providing a comprehensive view of human actions.
• Insights into Real-World Behaviors: Observational Studies provide insights into real-world behaviors and interactions that may not be captured through self-reported data.
• Uncovering Hidden Patterns: They enable the researcher to uncover hidden patterns and differences in human behavior, leading to a deeper understanding of the research subject.
• Exploration of Complex Topics: Observational Studies permit the exploration of complex, dynamic, or sensitive research topics in their natural setting.
• Observer Effect: There is a risk that the researcher’s presence may influence the observed behavior, potentially altering the natural state of the environment.
• Generalization Challenges: Findings from observational studies may be difficult to generalize due to the small sample size and specific context of the observation.
• Resource Intensiveness: Conducting comprehensive observational studies can be time-consuming and resource-intensive, requiring careful planning and execution.

For example, researchers from the National Institute of Design conducted observational studies in rural Indian communities to understand the daily routines, social interactions, and design needs of the residents to inform the development of appropriate technologies and products.

A case study involves an in-depth investigation of a single or multiple cases, such as individuals, firms, events, or phenomena, aiming to gain a comprehensive understanding of the subject.

• Specific Context Focus: Case Studies focus on a specific, real-world case or situation in its natural context, allowing for detailed examination.
• Multiple Data Sources: They utilize multiple data sources, including interviews, observations, and document analysis, to provide a comprehensive view of the case.
• Holistic Understanding: Additionally, case studies aim to provide a detailed, holistic, and contextual understanding of the case, capturing various dimensions of the subject.
• Depth of Understanding: Case Studies allow for a deep, refined understanding of complex phenomena, offering insights that may not be achievable through other methods.
• Theory Development Support: They provide insights that can inform theory development and practical applications, contributing to knowledge advancement.
• Unique Case Exploration: Case Studies enable the exploration of unique or rare cases that may not be accessible through other research methods, enriching the understanding of diverse contexts.
• Limited Generalizability: Findings from case studies may not be generalizable to other contexts or situations, limiting their broader applicability.
• Potential for Bias : There’s a risk of researcher bias in the selection and interpretation of the case, which may influence the findings.
• Resource Intensiveness: Conducting a comprehensive case study can be time-consuming and resource-intensive, requiring substantial investment.

For instance, the Indian School of Business conducted a case study on the successful turnaround of Tata Motors, analyzing the company’s strategies, leadership, and organizational changes that led to its revival.

Quantitative Research constitutes a systematic approach aimed at gathering and analyzing numerical data to quantify social phenomena and generate empirical findings. By employing statistical and mathematical techniques, this method rigorously tests theories and hypotheses concerning individuals’ attitudes and behaviors. It adopts an objective and formal framework, emphasizing the precision and reliability of its outcomes.

Survey Research involves collecting data from a targeted group through surveys, questionnaires , or polls to gather insights and opinions on a specific topic.

• Structured Questioning: It can efficiently gather quantitative data by utilizing structured questions.
• Multi-platform Availability: Surveys can be conducted online, via phone, or in person, offering flexibility in data collection methods.
• Large Sample Sizes: This method allows for the inclusion of large sample sizes, ensuring statistically significant results.
• Snapshot of Population: Surveys provide a snapshot of opinions and behaviors within a population.
• Diverse Participant Pool: They enable data collection from a diverse group of participants, enhancing the breadth of insights.
• Quick Data Collection: Surveys offer swift data collection and analysis, facilitating timely decision-making.
• Response Bias Risk: Surveys are prone to potential response bias or inaccuracies due to self-reporting.
• Limited Depth: They offer a limited depth of insights compared to qualitative methods.
• Response Rate Challenges: Surveys face challenges in ensuring high response rates and representative samples.

For instance, Nielsen India surveyed to gather consumer feedback on a new product launch in the Indian market.

Correlational Research will analyze the relationship between two or more variables to detect if changes in an individual variable are associated with changes in another.

• Pattern Identification: Correlational Research can detect patterns and associations between variables.
• Statistical Analysis: It involves using statistical analysis to measure the strength and direction of relationships.
• Non-causal Inference: This method can infer associations between variables but does not establish causation.
• Relationship Insights: Correlational Research provides insights into relationships between variables without manipulation.
• Outcome Prediction: It allows for the prediction of outcomes based on correlations observed.
• Preliminary Data: Correlational Studies offer valuable preliminary data for further research or hypothesis testing.
• Causation Ambiguity: Correlational Research cannot establish causation or determine the direction of effects between variables.
• Third Variables Influence: It is vulnerable to the influence of third variables or confounding factors that may affect the observed correlations.
• Mechanism Explanation Limitation: Correlational Studies are limited in explaining the underlying mechanisms driving the relationships observed.

For instance, researchers at IIT Delhi conducted a correlational study to explore the relationship between air pollution levels and respiratory illnesses in urban areas.

Causal-comparative Research investigates the cause-and-effect relationship between variables by comparing groups that differ on a specific factor.

• Impact Exploration: Causal-comparative Research focuses on exploring the impact of an independent variable on a dependent variable.
• Natural Group Comparison: It involves comparing groups that naturally differ in the variable of interest.
• Causal Relationship Determination: This method seeks to determine the causal relationship between variables.
• Cause-and-effect Examination: Causal-comparative Research allows for the examination of cause-and-effect relationships in non-experimental settings.
• Effects Insights: It provides insights into the effects of variables without direct manipulation.
• Information Value : Causal-comparative Studies offer valuable information for understanding the impact of variables on outcomes.
• Causality Ambiguity: Causal-comparative Research cannot establish a direct cause-and-effect relationship due to the lack of experimental control.
• Confounding Variables Influence: It is vulnerable to invalid variables influencing the observed relationships between variables.
• Effects Directionality Limitation: Causal-comparative Studies are limited in establishing the directionality of effects between variables.

For instance, researchers at IIM Bangalore conducted a causal-comparative study to investigate the impact of leadership styles on employee motivation in Indian organizations.

Experimental Research involves manipulating an independent variable to observe its effect on a dependent variable under controlled conditions to establish cause-and-effect relationships.

• Participant Randomization: Experimental Research involves random assignment of participants to experimental and control groups.
• Variable Manipulation: It allows for the manipulation of variables to establish causation.
• Extraneous Variables Control: Rigorous control over extraneous variables ensures internal validity.
• Causation Establishment: Experimental research establishes cause-and-effect relationships between variables.
• High Internal Validity: It provides high internal validity through experimental control.
• Findings Replication: It allows for the replication of studies to verify findings.
• External Validity Limitation: Experimental Research may lack external validity due to artificial experimental conditions.
• Resource and Time Intensiveness: This requires resources, time, and ethical considerations for conducting experiments.
• Ethical Constraints: Ethical constraints may limit the manipulation of certain variables in experimental settings.

For example, researchers at AIIMS Delhi conducted an experimental study to investigate the effectiveness of a new drug treatment on a specific medical condition in Indian patients.

Literature Research involves reviewing existing literature, documents, and sources to gather information, analyze findings, and synthesize knowledge on a specific topic.

• Synthesis and Analysis: Literature Research focuses on synthesizing and analyzing existing research and scholarly works.
• Systematic Review: It involves a systematic review of literature to identify trends, gaps, and insights.
• Comprehensive Overview: Literature Research provides a comprehensive overview of existing knowledge on a topic.
• Broad Understanding: It offers a broad understanding of the current state of knowledge on a topic.
• Gap Identification: It helps identify gaps in research and areas for further investigation.
• Foundation Establishment: Literature Research provides a foundation for developing hypotheses and research questions.
• Temporal Limitation: Literature Research is limited to existing literature and may not capture the most recent developments.
• Selection Bias: It is vulnerable to bias in the selection and interpretation of literature.
• Comprehensiveness Challenges: Literature Research faces challenges in ensuring the comprehensiveness and relevance of the reviewed literature.

For instance, researchers at IISc Bangalore conducted a literature review to explore the impact of climate change on agricultural practices in India, synthesizing findings from various studies and reports.

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Password-protected Instructor Resources include the following:

• An expanded glossary provided by the author in the form of downloadable Briefs.
• Additional tutorials written by the author which correspond to Chapters 1, 2, 3, 5, and 6.
• A selection of author Robert Yin's SAGE journal articles.
• Tables and figures from the book available for download.

“The book is filled with tips to the researcher on how to master the craft of doing research overall and specifically how to account for multi-layered cases.”

“Yin covers all of the basic and advanced knowledge for conducting case study and why they are useful for specific research studies without getting lost in the weeds.”

“The applications enhance the original material because it gives the reader concrete examples.”

“Yin is much more in-depth on case study methods both within a general qualitative text and any other case study text I have seen.”

On demand used as recommendation for basic literature for case study research

An essential reading for people doing case studies.

very thoruogh introduction

Very good introduction to Case Study design. I have used case study approach for my PhD study. I would recommend this book for an indepth understanding of case study design for research projects.

Dr Siew Lee School of Nursing, Midwifery and Paramedic Practice Robert Gordon University, Aberdeen.

The book is a really good introduction to case study research and is full of useful examples. I will recommend as the definitive source for students interested in pursuing this further in their projects.

In our Doctor of Ministerial Leadership (DML), Case Study is the Methodology that is required in this program. Robert Yin's book provides the foundational knowledge needed to conduct research using his Case Study design.

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Published October 17 th 2023

10 Essential Methods for Effective Consumer and Market Research

When it comes to understanding the world around you, market research is an essential step.

We live in a world that’s overflowing with information. Sifting through all the noise to extract the most relevant insights on a certain market or audience can be tough.

That’s where market research comes in – it’s a way for brands and researchers to collect information from target markets and audiences.

Once reliant on traditional methods like focus groups or surveys, market research is now at a crossroads. Newer tools for extracting insights, like social listening tools, have joined the array of market research techniques available.

Here, we break down what market research is and the different methods you can choose from to make the most of it.

What is market research, and why is it critical for you as a marketer?

Market research involves collecting and analyzing data about a specific industry, market, or audience to inform strategic decision-making. It offers marketers valuable insights into the industry, market trends, consumer preferences, competition, and opportunities, enabling businesses to refine their strategies effectively.

By conducting market research, organizations can identify unmet needs, assess product demands, enhance value propositions, and create marketing campaigns that resonate with their target audience. 

This practice serves as a compass, guiding businesses in making data-driven decisions for successful product launches, improved customer relationships, and a stronger positioning in the business landscape. 

For marketers and insights professionals, market research is an indispensable tool. It helps them make smarter decisions and achieve growth and success in the market.

These 10 market research methods form the backbone of effective market research strategies. 

Continue reading or jump directly to each method by tapping the link below.

• Focus groups
• Consumer research with social media listening
• Experiments and field trials
• Observation
• Competitive analysis
• Public domain data
• Buy research
• Analyze sales data

Use of primary vs secondary market research

Market research can be split into two distinct sections: primary and secondary. These are the two main types of market research.

They can also be known as field and desk, respectively (although this terminology feels out of date, as plenty of primary research can be carried out from your desk).

Primary (field) research

Primary market research is research you carry out yourself. Examples of primary market research methods include running your own focus groups or conducting surveys. These are some of the key methods of consumer research. The ‘field’ part refers to going out into the field to get data.

Secondary (desk) research

Secondary market research is research carried out by other people that you want to use. Examples of secondary market research methods include studies carried out by researchers or financial data released by companies.

10 effective methods to do market research

The methods in this list cover both areas. Which ones you want to use will depend on your goals. Have a browse through and see what fits.

1. Focus groups

It’s a simple concept but one that can be hard to put into practice.

You bring together a group of individuals into a room, record their discussions, and ask them questions about various topics you are researching. For some, it’ll be new product ideas. For others, it might be views on a political candidate.

From these discussions, the organizer will try to pull out some insights or use them to judge the wider society’s view on something. The participants will generally be chosen based on certain criteria, such as demographics, interests, or occupations.

A focus group’s strength is in the natural conversation and discussion that can take place between participants (if they’re done right).

Compared to a questionnaire or survey with a rigid set of questions, a focus group can go off on tangents the organizer could not have predicted (and therefore not planned questions for). This can be good in that unexpected topics can arise; or bad if the aims of the research are to answer a very particular set of questions.

The nature of the discussion is important to recognize as a potential factor that skews the resulting data. Focus groups can encourage participants to talk about things they might not have otherwise, and others might impact the group. This can also affect unstructured one-on-one interviews.

In survey research, survey questions are given to respondents (in person, over the phone, by email, or via an online form). Questions can be close-ended or open-ended. As far as close-ended questions go, there are many different types:

• Dichotomous (two choices, such as ‘yes’ or ‘no’)
• Multiple choice
• Rating scale
• Likert scale (common version is five options between ‘strongly agree’ and ‘strongly disagree’)
• Matrix (options presented on a grid)
• Demographic (asking for information such as gender, age, or occupation)

Surveys are massively versatile because of the range of question formats. Knowing how to mix and match them to get what you need takes consideration and thought. Different questions need the right setup.

It’s also about how you ask. Good questions lead to good analysis. Writing clear, concise questions that abstain from vague expressions and don’t lead respondents down a certain path can help your results reflect the true colors of respondents.

There are a ton of different ways to conduct surveys as well, from creating your own from scratch or using tools that do lots of the heavy lifting for you.

3. Consumer research with social media listening

Social media has reached a point where it is seamlessly integrated into our lives. And because it is a digital extension of ourselves, people freely express their opinions, thoughts, and hot takes on social media.

Because people share so much content on social media and the sharing is so instant, social media is a treasure trove for market research. There is plenty of data to monitor , tap into, and dissect.

By using a social listening tool, like Consumer Research , researchers can identify topics of interest and then analyze relevant social posts. For example, they can track brand mentions and what consumers are saying about the products owned by that brand. These are real-world consumer research examples.

View this post on Instagram A post shared by Brandwatch (@brandwatch)

Social media listening democratizes insights, and is especially useful for market research because of the vast amount of unfiltered information available. Because it’s unprompted, you can be fairly sure that what’s shared is an accurate account of what the person really cares about and thinks (as opposed to them being given a subject to dwell on in the presence of a researcher).

You might like

Your complete social listening guide.

Learn how to get started with social listening

4. Interviews

In interviews, the interviewer speaks directly with the respondent. This type of market research method is more personal, allowing for communication and clarification, making it good for open-ended questions. Furthermore, interviews enable the interviewer to go beyond surface-level responses and investigate deeper.

However, the drawback is that interviews can be time-intensive and costly. Those who opt for this method will need to figure out how to allocate their resources effectively. You also need to be careful with leading or poor questions that lead to useless results. Here’s a good introduction to leading questions .

5. Experiments and field trials

Field experiments are conducted in the participants’ environment. They rely on the independent variable and the dependent variable – the researcher controls the independent variable in order to test its impact on the dependent variable. The key here is to establish whether there’s causality.

For example, take Hofling’s experiment that tested obedience, conducted in a hospital setting. The point was to test if nurses followed authority figures (doctors) and if the authority figures’ rules violated standards (The dependent variable being the nurses, the independent variable being a fake doctor calling up and ordering the nurses to administer treatment.)

According to Simply Psychology , there are key strengths and limitations to this method.

The assessment reads:

• Strength: Behavior in a field experiment is more likely to reflect real life because of its natural setting, i.e., higher ecological validity than a lab experiment.
• Strength: There is less likelihood of demand characteristics affecting the results, as participants may not know they are being studied. This occurs when the study is covert.
• Limitation: There is less control over extraneous variables that might bias the results. This makes it difficult for another researcher to replicate the study in exactly the same way.

There are also massive ethical implications for these kinds of experiments and experiments in general (especially if people are unaware of their involvement). Don’t take this lightly, and be sure to read up on all the guidelines that apply to the region where you’re based.

6. Observation

Observational market research is a qualitative research method where the researcher observes their subjects in a natural or controlled environment. This method is much like being a fly on the wall, but the fly takes notes and analyzes them later. In observational market research, subjects are likely to behave naturally, which reveals their true selves. 

They are not under much pressure. However, if they’re aware of the observation, they can act differently.

This type of research applies well to retail, where the researcher can observe shoppers’ behavior by day of the week, by season, when discounts are offered, and more. However, observational research can be time-consuming, and researchers have no control over the environments they research.

7. Competitive analysis

Competitive analysis is a highly strategic and specific form of market research in which the researchers analyze their company’s competitors. It is critical to see how your brand stacks up to rivals. 

Competitive analysis starts by defining the product, service, brand, and market segment. There are different topics to compare your firm with your competitors. It could be from a marketing perspective: content produced, SEO structure, PR coverage, and social media presence and engagement. It can also be from a product perspective: types of offerings, pricing structure. SWOT analysis is key in assessing strengths, weaknesses, opportunities, and threats.

We’ve written a whole blog post on this tactic, which you can read here .

8. Public domain data

The internet is a wondrous place. Public data exists for those strapped for resources or simply seeking to support their research with more data.  With more and more data produced every year, the question about access and curation becomes increasingly prominent – that’s why researchers and librarians are keen on open data.

Plenty of different types of open data are useful for market research: government databases, polling data, “fact tanks” like Pew Research Center, and more. 

Furthermore, APIs grant developers programmatic access to applications. A lot of this data is free, which is a real bonus.

9. Buy research

Money can’t buy everything, but it can buy research. Subscriptions exist for those who want to buy relevant industry and research reports. Sites like Euromonitor, Statista, Mintel, and BCC Research host a litany of reports for purchase, oftentimes with the option of a single-user license or a subscription.

This can be a massive time saver, and you’ll have a better idea of what you’re getting from the very beginning. You’ll also get all your data in a format that makes sense, saving you effort in cleaning and organizing.

10. Analyze sales data

Sales data is like a puzzle piece that can help reveal the full picture of market research insights. Essentially, it indicates the results. Paired with other market research data, sales data helps researchers better understand actions and consequences. Understanding your customers, their buying habits, and how they change over time is important.

This research will be limited to customers, and it’s important to keep that in mind. Nevertheless, the value of this data should not be underestimated. If you’re not already tracking customer data, there’s no time like the present.

Choosing the right market research method for your strategy

Not all methods will be right for your situation or your business. Once you’ve looked through the list and seen some that take your fancy, spend more time researching each option.You’ll want to consider what you want to achieve, what data you’ll need, the pros and cons of each method, the costs of conducting the research, and the cost of analyzing the results.

Get it right, and it’ll be worth all the effort.

Former Brandwatch Employee

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