literature review on information communication technology pdf

Information and Communication Technology: A Literature Review of its Infrastructure and Application in Higher Education

Kouser, S. & Popat, S. S. (2022). Information and Communication Technology: A Literature Review of its Infrastructure and Application in Higher Education. EduInspire-An International E-Journal, 9(1.1), 176-188.

Posted: 6 Jan 2023

Shazia Kouser

Central university of gujarat, dr. shilpa s. popat.

Date Written: May 24, 2022

In the present study, the researcher has reviewed the existing literature from the previous research on Infrastructure and the Application of ICT in Higher Education. The researcher carried out an intensive search on various publications and databases websites and finalized fifteen papers for carrying out the literature review. The literature review reveals that in higher education institutions, ICT Infrastructure is efficient in encouraging the use of web technologies, but inadequate ICT infrastructure is being seen as the main challenge that hinders the implementation of E-learning. Some libraries don’t have adequate hardware and software equipment’s and don’t have sufficient internet nodes & speed. The ICT infrastructure in libraries of the colleges has a significant relation with the ICT library Services. The usage of ICT in libraries has significantly improved the management of libraries. The financial limitations and unavailability of staff who are proficient in using ICT are considered as the main obstacle in delaying the process of ICT implementation in libraries of the colleges. As far as the ICT usage is concerned, there exists a difference in usage of ICT between the students and University teachers in classrooms. The teachers are also facing challenges and obstacles for the availability of facilities for using ICT in the classrooms. The ICT usage by students found to be low but they are having a positive attitude towards its usage. It was further seen that ICT literacy, financial, and organizational culture were the main obstacles for the use of ICT. The majority of the academic staff members use instructor led approach as compared to student led approach.

Keywords: Information and Communication Technology (ICT), ICT Infrastructure, ICT Application, Higher Education

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Shazia Kouser (Contact Author)

Central university of gujarat ( email ).

At/Po- Matia Pattamundai Pattamundai, Gujarat India

At/Po- Matia Pattamundai Gandhi Nagar, Gujarat 382029 India

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A LITERATURE REVIEW ON IMPACT OF INFORMATION AND COMMUNICATION TECHNOLOGY TOOLS ON RURAL SOCIETY OF INDIA

Atul D. Newase , D. Sheetlani , Dr. Ranjit D. Patil
Published 2017
Sociology, Computer Science, Environmental Science, Economics

3 Citations

Impact of information and communication technology (e-agriculture) on agriculture and rural development, revealing the constraints faced by the “uzhavan app” users in tamil nadu to operate uzhavan application (farmers and extension officers) and suggestions to overcome the constraints, a review on impact of information communication & computation technology (icct) on selected primary, secondary, and tertiary industrial sectors, 28 references, information and communication technologies: a bridge for social equity and sustainable development in india, impact of information communication technology in rural areas of uttar pradesh: bridging the divide, factors influencing the use of information and communication technology (ict) tools by the rural famers in ratnagiri district of maharashtra, india., can information and communications technology applications contribute to poverty reduction lessons from rural india.

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ICT and rural societies: Opportunities for growth

Strengthening rural livelihoods : the impact of information and communication technologies in asia, the role of mobile phones in sustainable rural poverty reduction, a study on the need for rural information centres in the villages of tamil nadu, information technology and rural development, socio-economic impact of mobile phones on indian agriculture, related papers.

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ICT in Education: A Critical Literature Review and Its Implications

This review summarizes the relevant research on the use of information and communication technology (ICT) in education. Specifically, it reviews studies that have touched upon the merits of ICT integration in schools, barriers or challenges encountered in the use of ICT, factors influencing successful ICT integration, in-service and pre-service teachers’ attitudes, perceptions, and confidence in using ICT as well as the importance of school culture in the use of ICT. This review discusses gaps in the literature and the directions that future studies may take to address these gaps.

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Texila International Journal

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Khalid Bingimlas (Alghimlas)

The use of ICT in the classroom is very important for providing opportunities for students to learn to operate in an information age. Studying the obstacles to the use of ICT in education may assist educators to overcome these barriers and become successful technology adopters in the future. This paper provides a meta-analysis of the relevant literature that aims to present the perceived barriers to technology integration in science education. The findings indicate that teachers had a strong desire for to integrate ICT into education; but that, they encountered many barriers. The major barriers were lack of confidence, lack of competence, and lack of access to resources. Since confidence, competence and accessibility have been found to be the critical components of technology integration in schools, ICT resources including software and hardware, effective professional development, sufficient time, and technical support need to be provided to teachers. No one component in itself is sufficient to provide good teaching. However, the presence of all components increases the possibility of excellent integration of ICT in learning and teaching opportunities. Generally, this paper provides information and recommendation to those responsible for the integration of new technologies into science education.

Elvina Taran

The research presented in this dissertation aimed at understanding how computers are being used by primary school teachers and how ICT use is influenced by and related to a number of teacher and school related variables. This research aim embodies the idea that ICT integration should be seen as a specific case in the wider field of school improvement. The school-improvement perspective and findings from each subsequent chapter resulted in the development of a model of ICT integration in primary education. The model adds to the holistic approach when explaining ICT integration in education because teachers are not considered as completely independent, but sharing their school context. Although ICT integration still seems to depend for a large part on the willingness and attitudes of individual teachers, an important conclusion arising from our studies is that school-based policies have the potential to become a vehicle to promote ICT integration. In this phd, we especially focused on the iterative construction of a model that describes and explains ICT integration in class. Although future research is needed to further develop this model, we nevertheless hope that the conclusions presented throughout this dissertation are already helpful for those actively involved in the difficult task of managing the complex process of ICT integration. It must be stressed over and over again that, even when teachers recognise ICT as a beneficial tool, the integration of computers in daily classroom practice remains a complex and long-term enterprise.

Desmond Govender

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Information and communication technology in SMEs: a systematic literature review

Tri Yuwono ORCID: orcid.org/0009-0001-0076-273X 1 ,
Agus Suroso 1 &
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Journal of Innovation and Entrepreneurship volume 13 , Article number: 31 ( 2024 ) Cite this article

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The adoption of information and communication technology (ICT) in small- and medium-sized firms (SMEs) is steadily increasing. However, the implementation of ICT in SMEs is hindered by constraints, such as limited financial resources, lack of ICT knowledge, and reluctance to change. The objective of this study is to identify and analyze prevalent patterns, obstacles and influences that impact the adoption of ICT in SMEs in developing nations. In addition, this study aims to provide recommendations on the most effective methods to optimize the utilization of ICT in these contexts. This review is conducted using a sample of 25 publications that have been published and are available in the Scopus database. The selection process focuses on works that have received significant citations and have been published between 2014 and 2023. The PRISMA statement form was utilized to elucidate the comprehensive procedure of selecting and accepting pertinent publications. This research makes two distinct contributions. The writers begin by doing a thorough literature analysis to examine the progress of ICT in the past decade. They next emphasize noteworthy research discoveries in this field. Furthermore, the authors give a comprehensive analysis of the ICT literature by quantifying yearly publications and identifying SMEs that primarily utilize ICT, academic journals that publish pertinent articles, and ICT-related publications across various fields and areas in developing nations. The study also discloses the papers, journals, and authors that have received the highest number of citations. The author's final argument in the paper is that, despite the extensive research conducted in the field of ICT, there is a necessity to customize strategies and policies that can support SMEs in the ICT sector, particularly in developing countries.

Introduction

Small businesses are beginning to realize the importance of computer systems in improving their operations and performance (Mishrif & Khan, 2023 ). Information and communication technology (ICT) plays a crucial role in the corporate environment, serving not only as a tool for automation and cost reduction but also as a strategic driver that has the potential to radically alter the dynamics of competitiveness (Porter, 2001 ). ICT is recognized as providing small businesses with the potential for rapid access to global markets and customers, which can significantly increase their reach and competitiveness (MacGregor & Vrazalic, 2005 ). ICTs used by SMEs include e-commerce (Braun, 2002 ), websites (Ritchie & Brindley, 2005 ), digital payment (Kaynak et al., 2005 ), enterprise resource planning (Olsen & Saetre, 2007 b), mobile phone (Rabayah & Qalalwi, 2011 ), social media (Michaelidou et al., 2011 ), cloud computing (Sultan, 2011 ), blockchain and AI tools (Mishrif & Khan, 2023 ). The application of ICT, primarily e-commerce, provides ease of purchase, reduced costs, and faster response, can expand market reach and increase the competitiveness of SMEs both locally and internationally (Indrayanto et al., 2024 ; Lane et al., 2004 ). Merging data between departments with ERP systems for SMEs can improve information accessibility, and better decision making and more efficient operations (Olsen & Sætre, 2007 a). Websites for SMEs are useful for reaching new customers and increasing sales (Burke, 2009 ). Moreover, a more substantial online presence is needed to compete in the digital marketplace (Tan et al., 2009 ). Customers generally prefer online shopping to speed up shopping activities, assist in decision-making, save money, and simplify the shopping process (Novandari et al., 2021 ). Social media for SMEs are helpful in improving brand reputation, maintaining trust with customers, and reducing the cost of digital advertising and promotion (Durkin et al., 2013 ; Sulasih et al., 2023 ). The benefits of mobile phones for SMEs include more efficient data capture, better communication, increased staff engagement, and the potential for advanced data analysis and system integration (Bankosz & Kerins, 2014 ). Digital payments for SMEs can streamline the transaction process, making it easier for customers to complete purchases (Küster et al., 2016 ). Blockchain and AI optimize marketing operations and promote a more agile and data-centric marketing strategy, eventually enhancing consumer pleasure and loyalty (Khan et al., 2023 ). Small- and medium-sized enterprises (SMEs) with proficient information and communication technology (ICT) skills and strong IT capabilities generally achieve better financial performance and cost efficiency compared to other companies, as indicated by Elbeltagi et al. ( 2013 ).

Previous studies on Information and Communication Technology have primarily focused on large and multinational firms (Barua et al., 2004 ; Bharadwaj, 2000 ; Brynjolfsson & Hitt, 2020 ; Liang et al., 2007 ; Mithas et al., 2011 ) compared to SMEs (Chen et al., 2002 ; Cragg & King, 1993 ). Currently, the attention has turned towards small- and medium-sized enterprises (SMEs) as indicated by the works of (Arendt, 2008 ; Chege et al., 2020 ; Marcelino-Sádaba et al., 2014 ; Müller et al., 2018 ; Wielicki & Arendt, 2010 ). The development of skills and attitudes, including the ability of SMEs to recognize and respond to value-creation opportunities, is critical for SMEs to leverage technology better (Cunningham et al., 2023 ). Nevertheless, the existing body of evidence regarding the factors that promote or impede the adoption of information and communication technology by small and medium enterprises (SMEs), particularly in developing nations, remains scarce (Kurnia et al., 2015 ).

Empirical studies that mention how to implement information and communication technology in SMEs in developing countries are still few (Kurnia et al., 2015 ; Mapeshoane & Pather, 2016 ). Prior systematic reviews and bibliometric analyses predominantly utilized data sourced from the Web of Science (Dabi et al., 2020 ; D'Angelo & Belvedere, 2023 ; Tubis & Grzybowska, 2022 ; Yogarajan et al., 2023 ). This research is distinctive, because it utilizes data from the Scopus database, which is recognized as the largest peer-reviewed literature database encompassing a broad spectrum of global and regional journals, conference proceedings, and books (Baas et al., 2020 ; Cordes & Marinova, 2023 ). It is argued that SMEs in developing countries face various technical capability constraints when applying information and communication technology (ICT) for business growth and competitiveness. SMEs in developing countries exhibit less enthusiasm for implementing ICT compared to large companies due to financial limitations and organizational and managerial preparedness (Shahadat et al., 2023 ). Therefore, it is necessary to examine the factors contributing to the disparity in the adoption of ICT practices in small firms, specifically in SMEs of developing countries. Hence, the objective of this study is to examine the existing literature on information and communication technology (ICT) in small- and medium-sized enterprises (SMEs) and analyze the patterns and themes in ICT research by addressing the following research inquiries.

RQ 1. How has ICT evolved over the years?

RQ 2. What are the main research streams and focus areas in the ICT literature?

RQ 3. What internal and external factors influence ICT adoption in SMEs of developing countries?

RQ 4. What are the barriers and outcomes of ICT implementation in developing country SMEs?

Definition and importance of SMEs

SMEs in developing countries play a crucial role in economic development, employment, and innovation. The precise parameters that define small- and medium-sized enterprises (SMEs), such as the number of employees, yearly turnover, and investment amount, can vary considerably across different countries. The various interpretations of this concept highlight the tailored strategies implemented by nations to assist small- and medium-sized enterprises (SMEs) based on their distinct economic environments and governmental goals. In India, small and medium enterprises (SMEs) are classified according to their capital expenditure on equipment and machinery. Micro-enterprises are businesses with a capital investment of up to INR 2.5 million (Kumar et al., 2017 ). In Bangladesh, SMEs are classified as firms with fewer than 100 employees (Azam, 2015 ). In Malaysia, small- and medium-sized enterprises (SMEs) are classified according to their staff count and yearly revenue. Small firms typically have a workforce of 5 to 75 individuals and generate annual revenues ranging from RM300,000 to RM5 million. On the other hand, medium enterprises employ 75–200 people and have an annual turnover between RM5 million and RM50 million (Ibrahim et al., 2018 ).

Small- and medium-sized enterprises (SMEs) are crucial for the economic progress of emerging nations, making substantial contributions to the gross domestic product (GDP), employment rates, and exports. SMEs in Bangladesh contribute approximately 45% of the manufacturing value added, almost 80% of industrial employment, and between 75% and 80% of export earnings. In addition, the agricultural industry contributes approximately 44% of employment in the country, highlighting its significant importance in job generation and economic growth. SMEs in Bangladesh are estimated to account for approximately 20–25% of the country's GDP (Azam, 2015 ). On a global scale, small- and medium-sized enterprises (SMEs) are acknowledged for their significant role in fostering economic growth and generating employment opportunities. SMEs in Singapore account for 46% of the country's GDP and 63% of its employment. In European countries, small- and medium-sized enterprises (SMEs) contribute approximately 60 to 70% of the total employment. In Japan, this percentage is much higher, surpassing 78%. SMEs in Pakistan make up around 40% of the annual GDP, 25% of industrial exports, and 78% of individual employment (Pathan et al., 2017 ). These contributions demonstrate the crucial significance of SMEs in stimulating economic expansion, enhancing job prospects, and elevating living standards, thereby establishing them as the fundamental pillar of the economy (Heim et al., 2019 ).

ICT and its relevance to SMEs

Information and communication technology (ICT) refers to various technologies that collect, manipulate, retain, and distribute information. It encompasses technologies such as the internet, telecommunications (mobile phones and landlines), wireless networks, digital broadcasting, and other digital technologies that transmit and manipulate information in different formats. Information and communication technology (ICT) is fundamental to contemporary existence. It has become an essential element of company operations, facilitating organizations to function more efficiently, expand into new markets, and enhance communication and information exchange (Kossaï & Piget, 2014 ).

Regarding small- and medium-sized enterprises (SMEs), it is essential to consider the significance of information and communication technology (ICT). It provides exceptional prospects for firms to raise operational efficiency, elevate customer service, and foster product and service delivery innovation. The adoption and utilization of ICT by SMEs play a crucial role in enhancing their performance and competitiveness, particularly in a globalized economy, where market success is often contingent upon technological competence (Azam, 2015 ). Information and communication technology (ICT) allows small- and medium-sized enterprises (SMEs) to optimize their operations, decrease expenses, and enhance their ability to adapt to market fluctuations. In addition, it empowers them to engage in competition at a broader scope, accessing untapped markets and clientele via e-commerce and online advertising.

The utilization of information and communication technology (ICT) in small and medium enterprises (SMEs) is of utmost importance for advancing the economy in emerging nations. A study conducted on Tunisian SMEs in the electrical and electronics industry has demonstrated that effectively implementing ICT can substantially impact firm profitability. The study found a favorable correlation between the extent of ICT utilization and firm performance (Kossaï & Piget, 2014 ). Moreover, implementing information and communication technology (ICT) in small and medium enterprises (SMEs) can foster creativity, stimulate expansion, and empower small enterprises to compete with greater efficiency on both domestic and global scales. Nevertheless, despite the potential advantages, small- and medium-sized enterprises (SMEs) require assistance in embracing information and communication technology (ICT), which involves overcoming internal and external obstacles. It is crucial to tackle these difficulties to fully use the advantages of ICT for small- and medium-sized enterprises (SMEs), enhance their role in economic development, and guarantee their long-term growth and competitiveness in the global market (Vidhyalakshmi & Kumar, 2016 ).

Small- and medium-sized enterprises (SMEs) require assistance in embracing information and communication technology (ICT) due to the rapid digitalization prompted by the COVID-19 pandemic. This shift has exacerbated the disparity between large and small firms. However, large corporations have successfully utilized omnichannel strategies and captured a substantial share of consumer demand during limited social mobility. On average, small- and medium-sized enterprises (SMEs) have yet to tap into internet commerce's complete benefits fully. This disparity highlights a digital economy dichotomy wherein tiny enterprises face challenges in competing with their larger counterparts in the digital realm. Furthermore, the intrinsic constraints of small- and medium-sized enterprises (SMEs), such as their incapacity to benefit from economies of scale and to innovate with cutting-edge technologies, worsen their challenges in adopting information and communication technology (ICT). These constraints impede their ability to compete globally and restrict them to catering to domestic consumers (Meramveliotakis & Manioudis, 2021 ).

Methodology

The primary aim of this study is to investigate the influence of information and communication technology on small- and medium-sized firms (SMEs) in developing nations (Paprotny, 2021 ). This study has undertaken a systematic literature review (SLR) of prior research on information and communication technology (ICT) in small- and medium-sized enterprises (SMEs). A systematic literature review (SLR) seeks to resolve concerns in the current body of research by finding, critically assessing, and incorporating all pertinent studies conducted within a specific topic while also addressing one or more specific studies. Systematic literature review (SLR) distinguishes itself from typical literature reviews by placing a strong emphasis on transparency, evidence, impact, validity, and causality.

This approach ensures the robustness of the evidence gathered (Mohamed Shaffril et al., 2021 ). The PRISMA statement form is utilized to delineate the comprehensive procedure of selecting and excluding pertinent papers in systematic reviews and meta-analyses. The PRISMA statements aid researchers in enhancing the documentation of systematic literature review publications (Page et al., 2021 ). The review was conducted using research publications published in the SCOPUS database from 2014 to 2023 as the basis.

Literature search. A search for relevant publications was conducted on February 26, 2024, using the Scopus database. The search was performed using the search terms "ICT*" and "SME*." The search produced a total of 1081 articles from 2014 to 2023, covering 10 years. Given the significant increase in publications over the past decade, we have chosen this time to perform a systematic review on the implementation of information and communication technology (ICT) in small and medium enterprises (SMEs), despite its initial introduction in 1999 by Premkumar and Roberts. Following the curation of papers published between 2014 and 2023 in the domain of business and management, a total of 380 articles were retained. Given the focus of our research on business and management, we have disregarded articles that were published in other subject areas. There were 251 documents left after choosing the document type "Articles." Upon choosing the publication stage and picking articles written in the "English" language, a total of 239 articles were extracted. To enhance the reliability of the analysis while upholding quality criteria, this study specifically chose articles that had 20 or more citations. Subsequently, a total of 73 papers were selected for the study based on their citation count of 20 or above. After eliminating unnecessary papers, the total number of surviving papers was 25. Figure 1 provides a concise overview of the process of including and excluding certain elements.

Flowchart of PRISMA methodology. Source: PRISMA Statement 2020

Quality assessment The selected papers underwent a thorough and rigorous screening procedure to incorporate the most outstanding research in the study. Only papers with a high number of citations (more than 20) were chosen to uphold standards of research quality and enhance comprehension of topics. Paper duplication was rigorously managed during the selection process.

Criteria for eligibility and inclusion This review paper is derived from the original published article. The study eliminated conference papers to uphold quality requirements. The researchers focused exclusively on examining ICT business and management viewpoints, excluding all other sectors from their study. The database Scopus was selected for article search because of its extensive collection of publications in the discipline, surpassing other databases such as Web of Science (Cordes & Marinova, 2023 ). Due to the predominance of English in the field of ICT literature, only articles written in English were chosen. An additional rationale for exclusively choosing papers written in English is its global comprehensibility and widespread acceptance. This study included both articles that are freely accessible to the public (open-access) and papers that have limited access (restricted access).

The study used a qualitative synthesis For this study, a total of 25 publications published in Scopus-indexed journals between 2014 and 2023 were chosen for examination. Following the selection of the papers, the procedure proceeded with two consecutive steps. The initial phase involved exporting relevant metadata from Scopus to Microsoft Excel to facilitate a descriptive study of the literature. This analysis focused on the distribution of publications by year and field and the application of ICT in developing nations to enhance competitiveness in SMEs.

An analysis was undertaken to observe the number of publications and publication trends during the past decade, focusing on a year-by-year basis. A sector study was undertaken to identify industries within small- and medium-sized enterprises (SMEs) that are adopting information and communication technology (ICT). This systematic review also highlighted the internal and external elements of ICT adoption that can enhance the competitiveness of SMEs. These factors are illustrated in Fig. 2 .

Internal and external factors of ICT implementation to improve SME competitiveness. Source: Author's findings (observed from the literature review)

Analytical framework

In the growing area of information and communication technology (ICT) in small and medium enterprises (SMEs) in developing nations, it is crucial to identify and address internal and external obstacles to achieve sustainable growth and maintain competitiveness. Based on a thorough analysis of 25 studies, a valuable analytical framework has evolved to guide future research efforts.

The framework illuminates the intricate interrelationships among different obstacles and offers strategic avenues for successful resolution. As researchers delve into further investigations in the field of ICT in SMEs in developing countries, this fundamental framework acts as a guide, enabling a more profound comprehension of the obstacles and possibilities, ultimately leading to transformative advancements in theory and practice. Figure 3 provides additional information on the analytical framework.

Analytical framework linking strategies to overcome SME barriers to ICT implementation. Source: Author's findings (observed from the literature review)

Theoretical framework

It is crucial to consider the prevailing theoretical and methodological approaches researchers employ to assess the progress of research on the utilization of information and communication technology in small- and medium-sized enterprises (SMEs). Of the 25 examined publications, only 18 explicitly referred to a theoretical framework, while the remaining articles discussed notions based on previous research. The subsequent passage delineates the theoretical frameworks employed in the study conducted thus far.

IT does not matter questions the conventional belief that technological innovation is the main factor for gaining a competitive edge. Instead, it promotes prioritizing resource optimization and strategic organizational value. According to this idea, small- and medium-sized enterprises (SMEs) should shift their approach from making significant investments in Information Technology infrastructure to maximizing the use of their current resources and adopting information and communication technology (ICT) services that fulfil particular and basic needs, without putting a considerable strain on capital expenses (Soon et al., 2015 ).

Mirkovski et al. ( 2016 ) employ a combination of Transaction Cost Economics (TCE) and Social Exchange Theory (SET) to analyze the impact of environmental uncertainty on contractual and relational governance in ICT-based supply chain practices, specifically information sharing and collaboration. According to these ideas, small- and medium-sized enterprises (SMEs) should enhance their contractual and relational procedures to understand better the intricacies of adopting information and communication technology (ICT). This understanding would enable them to effectively incorporate ICT into their supply chains, particularly while dealing with uncertain environmental conditions.

The intellectual capital view (ICV) posits that some elements of intellectual capital, mainly ICT capital generated on a global scale, play a crucial role in attaining more significant levels of product innovation through worldwide expansion. This viewpoint implies that small- and medium-sized enterprises (SMEs) must build and utilize information and communication technology (ICT) skills focused on global operations. This will enable them to create new and innovative goods and effectively enter new markets. The approach emphasizes the significance of ICT as a tool for improving operational efficiency and as a valuable asset that may aid in developing new goods and gaining a competitive edge in global marketplaces (Molodchik & Jardon, 2017 ).

According to organisational improvisation theory, small- and medium-sized enterprises (SMEs) can gain advantages by embracing an improvisational mindset. This mindset involves being receptive to exploring new technologies, being flexible in changing, and making prompt decisions in response to unforeseen challenges or opportunities in information and communication technology (Valaei et al., 2017 ).

The technology–organisation–environment (TOE) frameworks and diffusion of innovations (DOI) theories provide a thorough examination of the elements that impact the adoption of technology by small- and medium-sized enterprises (SMEs), taking into account both internal and external factors that influence this decision. The TOE theory offers a framework for analyzing the technological, organizational, and environmental environments in which small- and medium-sized enterprises (SMEs) function. According to the TOE framework, small- and medium-sized enterprises (SMEs) must carefully evaluate their technology requirements and capabilities, utilize their organizational strengths and adaptability, and stay informed about external factors such as government policies and market demands. This will enable them to adopt and gain advantages from information and communication technology (Gono et al., 2016 ; Pathan et al., 2017 ; Sivathanu, 2019 ).

The DOI theory facilitates comprehension of the diffusion of new technologies within an organization. The theoretical framework promotes the adoption of information and communication technology (ICT) by small- and medium-sized enterprises (SMEs) to enhance their success and competitiveness (Kossaï & Piget, 2014 ). SMEs should comprehensively evaluate their preparedness and possible advantages of adopting technology based on integrating TOE and DOI theories (Dincă et al., 2019 ; Kumar et al., 2017 ).

Mirkovski et al. ( 2019 ) employed Transaction Cost Economics (TCE) and Social Exchange Theory (SET) to investigate the interactions of information and communication technology (ICT) in small- and medium-sized enterprises (SMEs) within supply chains in developing nations. The field of Transaction Cost Economics (TCE) examines the expenses linked to transactions and their impact on the behaviour and structure of organizations. TCE suggests that enterprises should reduce these costs to enhance efficiency and competitiveness. SET underscores the significance of social connections and trust in facilitating transactions, indicating that small- and medium-sized enterprises (SMEs) should prioritize establishing and upkeep robust interpersonal ties to improve information sharing and collaboration.

Value co-creation is based on the assumption that information and communication technology (ICT) enables value production. This enables companies at various stages of ICT implementation to collaborate and enhance their business processes, ultimately leading to improved organizational performance. Small- and medium-sized enterprises (SMEs) are advised to embrace information and communication technology (ICT) to enhance their internal operations and collaborate with other companies to generate value. This includes partnering with firms with higher ICT utilization (Heim et al., 2019 ).

Knowledge management (KM) is based on the belief that SMEs may improve their innovation skills and competitive advantage by successfully developing, sharing, and capitalizing on knowledge within and across organizational boundaries. According to this theory, small- and medium-sized enterprises (SMEs) should actively participate in knowledge management practices. This involves promoting a culture of sharing knowledge, investing in information and communication technology (ICT) to facilitate knowledge sharing, and establishing strong connections with external partners to access and incorporate a wide range of knowledge into the SME's innovation process (Ben Arfi & Hikkerova, 2021 ).

Azam ( 2015 ) employed various theoretical frameworks, including the Diffusion of Innovations (DOI) Theory, Technology–Organization–Environment (TOE) Framework, Technology Acceptance Model (TAM), Theory of Reasoned Action (TRA), Theory of Planned Behaviour (TPB), Institutional Theory, Unified Theory of Acceptance and Use of Technology (UTAUT), and Resource-based View (RBV), to investigate the factors that affect the adoption of information and communication technology (ICT) by small- and medium-sized enterprises (SMEs) and the impact of this adoption on SME performance. The Technology Acceptance Model (TAM) posits that the perception of how easy and beneficial a technology is crucial in determining its acceptance and usage behaviour. This implies that if small- and medium-sized enterprises (SMEs) view information and communication technology (ICT) as valuable and user-friendly, they are more inclined to embrace and incorporate it into their business activities.

The TRA (Theory of Reasoned Action) and TPB (Theory of Planned Behavior) posit that an individual's inclination to engage in a particular behaviour, such as ICT adoption, is shaped by their attitude towards the behaviour and subjective norms. The TPB further includes perceived behavioural control as a determinant, indicating that internal and external perceptions play a role in an SME's decision to adopt ICT. Institutional Theory posits that the adoption of information and communication technology (ICT) by small and medium enterprises (SMEs) is impacted by external influences and the need to conform to industry and societal norms and expectations. This implies that factors beyond the immediate perceived benefits may drive the adoption of ICT.

The UTAUT model proposes that the anticipation of good performance, the expectation of effort, social influence, and favourable conditions predict the adoption and utilization of technology. According to this theory, small- and medium-sized enterprises (SMEs) should enhance these four characteristics to enhance the probability of successfully adopting information and communication technology (ICT) in their organizations (Ibrahim et al., 2018 ). The resource-based view (RBV) theory posits that organizations achieve long-term competitive advantage by holding resources and talents that are valued, scarce, difficult to imitate, and cannot be easily replaced. ICT resources and competencies can provide SMEs with a competitive edge in terms of innovation and competition (Amoako et al., 2022 ; Aslesen & Harirchi, 2015 ; Golonka, 2015 ) (Table 1 ).

Descriptive analysis

This section will analyze the descriptive statistics of the papers chosen throughout the review process. It will examine factors such as the year of publication, industry focus, number of citations, journal of publication, and research methodology employed in the selected studies.

By year, Fig. 4 illustrates the trajectory of ICT use among small- and medium-sized enterprises (SMEs) from 2014 to 2023. The data are derived from the annual publication count but are restricted to research that has received significant citations. 2019 and 2017 were the years with the highest number of papers that received high-citation reports, defined as having more than 20 citations.

ICT publications in SMEs per year

Industry base. The results of industries that utilize ICT are depicted in Fig. 5 . Industries are primarily categorized into four sectors: agriculture, mining, manufacturing (including electrical industry, electronics, apparel, food, drinks, etc.), and services (such as marketing and software-based small and medium enterprises). Several articles included small- and medium-sized enterprises (SMEs) in their analysis, whereas the remaining articles did not specify the industries that were included in the study. They have been classified inside the "other" classification. Out of the chosen research, 5 studies either encompassed all small- and medium-sized enterprises (SMEs) or did not specify which SMEs were examined. The fraction of small- and medium-sized enterprises (SMEs) that implemented information and communication technology (ICT) was primarily focused on researching manufacturing. The total number of studies discovered was 11, as determined from the selected papers. Based on the graph shown (Fig. 5 ), it can be deduced that the adoption of ICT is more prevalent among small and medium enterprises (SMEs) in the manufacturing and services sectors, as opposed to those in the agriculture and mining sectors.

ICT implementation in small- and medium-sized industries

Journal base. The "International Journal of Business Information Systems" has had the highest number of publications in the past 10 years, with a total of three articles published between 2014 and 2023. Subsequently, additional magazines published a single article each. Table 2 displays the leading journals and the papers that were published during the specified time frame.

Regional distribution. An intriguing discovery from this analysis is the dispersion of ICT studies among various locations in poor countries (Paprotny, 2021 ). Figure 6 demonstrates that the majority of studies were carried out in India and Malaysia. More research needs to be undertaken in other emerging nations. More studies and implementation of ICT in small- and medium-sized enterprises (SMEs) in developing countries worldwide need to be conducted. Our findings align with Aslesen and Harirchi ( 2015 ) assertion that India is the primary source of scholarly research on ICT in developing nations, as depicted in Fig. 6 .

Regional distribution of articles

According to the citations. The minimum threshold for paper selection in this review was set at 20 citations per paper. The article authored by Puthusserry et al. ( 2020 ) received the highest number of citations among the articles in the selected column, with a total of 53 citations. Table 3 presents a concise overview of the 10 papers that have received the highest number of citations, including information about the authors and the year in which they were published.

Classification

To ascertain the specific areas of research concentration in the existing literature, we have established four distinct research streams. This section aims to categorize the literature and provide an overview of the main areas of research in information and communication technology (ICT) in small- and medium-sized enterprises (SMEs).

Topic 1: Tools and techniques. A total of 15 out of the 25 selected research, which accounts for approximately 60%, were determined to be quantitative. Approximately 48% of the research employed survey methodologies or Structural Equation Modeling (SEM), while the remaining studies utilized various other tools such as SPSS, ADANCO, and NVIVO. Only 16% of the data was qualitative. Out of all the research, 20% were carried out utilizing mixed methods, and 4% utilized case studies, as depicted in Fig. 7 .

Articles categorized by research methodology distribution

Topic 2: Influence of internal and external factors on the use of information and communication technology in small- and medium-sized businesses. The internal factors that influence the adoption and effective use of ICT by SMEs are crucial, as they have a direct impact on the performance, competitiveness, and innovation capabilities of SMEs (Rozak et al., 2023 ). ICT adoption enables small- and medium-sized enterprises (SMEs) to enhance their competitiveness on a global level by improving efficiency and fostering stronger ties with customers and suppliers (Vidhyalakshmi & Kumar, 2016 ).

The adoption of information and communication technology (ICT) in small- and medium-sized enterprises (SMEs) to enhance their competitiveness is greatly influenced by the managerial qualities of both the firms and the managers. Managers who have a forward-looking approach and are receptive to technological advances are more likely to realize the value of ICT investments in streamlining operations, increasing productivity, and opening up new market opportunities (Kossaï & Piget, 2014 ). The owner's receptiveness to technology and the firm's preparedness to innovate determine its willingness to implement ICT. At the same time, the costs associated with installation and implementation are essential barriers that depend on the financial health and operating budget of the SME. In addition, the anticipated return on investment from ICT deployment is also essential, as SMEs need to ensure that the financial benefits justify the initial and ongoing investment (Vidhyalakshmi & Kumar, 2016 ).

Kumar et al. ( 2017 ) contend that the support and commitment of senior management are crucial for the successful implementation and integration of information and communication technology (ICT) in organizational operations. Their leadership is vital in overcoming resistance to change, ensuring that the potential of ICT is fully utilized to achieve business objectives and drive growth, thus positioning SMEs to gain a competitive advantage in an increasingly digital business environment.

Results Gono et al. ( 2016 ) support the notion that the size and age of a company, along with its experience in using information and communication technology (ICT), have a significant impact on the adoption of ICT to enhance the competitiveness of small- and medium-sized enterprises (SMEs). Firm age indicates stability, which is associated with market knowledge and resource advantages, thus facilitating ICT adoption. Large firms with more employees and multiple branches tend to have better financial and human resources, enabling them to invest in and implement ICT solutions more effectively. This organizational capacity not only facilitates technology but also positions SMEs to make better use of ICT. (Ibrahim et al., 2018 ).

The implementation of organizational strategies, such as the formation of diverse partnerships, plays a vital role in leveraging ICT to improve SME competitiveness. Such strategies enable SMEs to access a broader range of resources, knowledge and technology (Golonka, 2015 ). Research Rozak et al. ( 2023 ) stated that the enhancement of digital skills among SME members, including staff, managers, leaders, and owners, significantly improved their experience with ICT, fostering a commitment to its increased use for continuous improvement, which is critical to improving the competitiveness of SMEs.

Based on the research findings of Molodchik and Jardon ( 2017 ), SMEs that invest in research and development (R&D) are better positioned to utilize ICT to improve their competitiveness. The application of cloud computing in research (Soon et al., 2015 ) allows SMEs to focus on their core competencies by leveraging shared services, thus eliminating traditional resource limitations and underutilized data center issues. This shift optimizes the use of technology and simplifies business processes. The efficiencies gained through these technology linkages are critical for SMEs to maintain sustainability and competitiveness in an increasingly digitized and globalized business environment.

Valaei et al. ( 2017 ) asserted that exploratory learning strategies lay the foundation for improvisational and compositional creativity, enabling organizations to strategize and react dynamically to unpredictable market changes through insights, rapid experimentation, and evolutionary learning. This approach not only fosters an innovative culture but also ensures that SMEs can utilize ICT effectively to maintain a competitive advantage in a highly competitive market.

Zaidan ( 2017 ) highlighted the need for SMEs to improve human resource competencies by hiring and rewarding skilled and talented staff, thereby creating a pleasant workplace. This strategy maintains crucial human capital and fosters the adoption and innovative exploitation of information and communication technology. Moreover, as stated by Ben Arfi and Hikkerova ( 2021 ), it is crucial to prioritize the establishment of a culture that promotes innovation and the sharing of knowledge. The combination of knowledge exchange and a culture that fosters innovation allows small- and medium-sized enterprises (SMEs) to effectively leverage information and communication technology (ICT), resulting in enhanced competitiveness within their specific markets.

External factors impact the implementation of information and communication technology (ICT) in small- and medium-sized businesses. Due to global challenges arising from technological breakthroughs and globalisation, SMEs are compelled to incorporate information and communication technology (ICT) into their operations. In addition, suppliers and consumers frequently demand online communication and transactions from SMEs (Azam, 2015 ). This competitive pressure, according to Mirkovski et al. ( 2016 ), requires SMEs to implement and utilize ICT as a strategic response to the competitive dynamics in their industry. The application of ICT enables SMEs to improve their operational efficiency and compete more effectively in the digital marketplace.

Research Soon et al. ( 2015 ) showed that economic turmoil and the evolution of digital markets present challenges and opportunities for SMEs in implementing ICT. In periods of economic recession, small- and medium-sized firms (SMEs) may be more careful when choosing information and communication technology (ICT) infrastructure, such as cloud computing services. Although SMEs face several obstacles, the internet's rapid expansion and the rise of cloud services offer them the chance to leverage shared services and concentrate on their core strengths. This, in turn, enhances their competitiveness in the digital market.

Amoako et al. ( 2022 ) suggested that SMEs utilize ICT tools such as electronic data interchange, the Internet, and supplier quality management software to improve operations between external partners (customers and suppliers) to achieve cooperation among supply chain partners, which in turn has a positive impact on performance. Small- and medium-sized enterprises (SMEs) have the opportunity to engage in partnerships with industry associations to implement information and communication technology (ICT). This collaboration enables SMEs to effectively and promptly respond to market dynamics and meet the evolving demands of customers. Industry organizations provide small and emerging businesses with a platform to receive assistance and knowledge through workshops. The workshops encompass a broad spectrum of subjects, including introducing novel technology and products and providing market-specific knowledge. Industry associations also offer informal mentoring opportunities where senior professionals share their experiences, successes and failures (Puthusserry et al., 2020 ).

Technology collaboration and innovation strategies also play an essential role in improving the competitiveness of SMEs through the application of ICT (Aslesen & Harirchi, 2015 ). This strategy involves SMEs engaging in partnerships and networks with external entities, such as other companies, universities, research institutes, non-governmental organizations, and government agencies, to access diverse sources of knowledge and innovative technologies (Aryanto et al., 2018 ).

According to JosephNg ( 2019 ), ICT consulting services are crucial for the successful implementation and maintenance of ICT solutions. External consultancy can assist small- and medium-sized firms (SMEs) in effectively managing the complexity of ICT deployment. This ensures that their technology infrastructure is not only current but also in line with their business goals, enabling them to grow and compete effectively in the market. In line with this opinion, Sivathanu ( 2019 ) also mentioned that support from technology vendors is critical. This support can range from providing ICT solutions tailored to the specific needs of SMEs to offering training and maintenance services to ensure effective implementation and use of technology.

A crucial factor, according to Heim et al. ( 2019 ), is the presence of a clear legal and regulatory framework that can address intellectual property rights, data protection, and online transactions, ensure fair competition, and facilitate access to digital infrastructure and services. Pathan et al. ( 2017 ); Dincă et al. ( 2019 ) also agree that government or regulatory support has a positive impact on ICT adoption among SMEs. Especially in developing countries, where external environmental factors and government support play an essential role in shaping the rules of ICT implementation for SMEs operating in the region (Mirkovski et al., 2019 ).

Topic 3: Outcomes of ICT implementation. While ICT implementation is seen as an essential factor for improving the competitiveness and operational efficiency of SMEs, its actual contribution to enterprise performance depends on how well the technology is integrated and leveraged in organizational processes. For SMEs to truly benefit from ICT, there needs to be a focus not only on ICT deployment but also on the strategic alignment of ICT with SME business processes and objectives (Azam, 2015 ).

ICT adoption in manufacturing SMEs improves operational efficiency and expansion into new markets through strategic partnerships with large firms (Gono et al., 2016 ). The utilization of ICT enables SMEs to achieve significant cost savings, maintain and enhance collaboration with business partners, manage external communication with stakeholders more effectively, and streamline transactions (Rozak et al., 2023 ).

ICT, especially cloud computing, provides significant benefits to SMEs by offering cost-effective ICT services that are highly favorable to new entrepreneurs. (Pathan et al., 2017 ). The application of ICT to SMEs, particularly in the agricultural sector, has been shown to significantly increase their productivity and contribute to a country's Gross Domestic Product (Ibrahim et al., 2018 ).

SMEs categorized as using ICT moderately or intensively show a net profit margin of more than 2% compared to companies that do not use ICT (Kossaï & Piget, 2014 ). In line with that, Vidhyalakshmi and Kumar ( 2016 ) also concluded that the application of ICT in SMEs has shown significant positive results, including increased global market presence, increased agility, and increased profitability.

Topic 4. Barriers to ICT adoption. SMEs in developing countries that are already large, with many branches and employees, are successfully applying ICT to improve their competitiveness by increasing sales and marketing, streamlining operations, efficiently managing remote branches and engaging in strategic collaboration. Nevertheless, this is a significant difficulty for small-scale SMEs, particularly those in their nascent stages, since they encounter numerous constraints when it comes to utilizing their resources. Researchers have found several significant obstacles to the use of ICT in SMEs, which are outlined in Table 4 .

The primary obstacles to the adoption of ICT are budgetary limitations, deficiencies in skills, inadequate utilization of ICT, characteristics of the organization and its owner, government assistance, and insufficient awareness and trust. Small- and medium-sized enterprises (SMEs) must comprehend these obstacles to devise effective ways to overcome them when employing ICT (Kossaï & Piget, 2014 ).

The need for more skilled personnel to implement and manage ICT solutions is a significant obstacle for SMEs in developing countries. SMEs often need more financial resources compared to large enterprises, making it difficult to invest in ICT (Vidhyalakshmi & Kumar, 2016 ).

The characteristics and attitudes of firms and their owners towards technology adoption can significantly influence the extent of ICT implementation. SMEs led by owners who do not prioritize ICT tend to underutilize ICT (Kossaï & Piget, 2014 ).

SMEs need to fully realize the benefits and potential of ICT in improving their business operations and competitiveness. In addition, concerns over security and privacy lead to a need for more trust in ICT solutions. Sivathanu ( 2019 ) suggested that the government should help in terms of incentives, subsidies, and policies that encourage ICT adoption, as a lack of government support can be a significant obstacle to ICT adoption by SMEs.

Conclusions and future directions

This study's main objective is to thoroughly assess the current body of literature on information and communication technology (ICT) and offer responses to the research questions. This study focuses on the first research topic by providing a concise overview of the current research on the pivotal role of Information and Communication Technologies (ICTs) in improving the competitiveness of small and medium companies (SMEs) in developing economies. This is accomplished by employing descriptive statistics. The current material was classified into four main categories to address the second research question. The study has collated the 25 most cited publications on Information and Communication Technology (ICT) in small and medium companies (SMEs) in developing countries published during the last decade. The researchers have compiled and condensed the essential findings they have produced. Overall, there is a need to enhance the amount of ICT research conducted on small and medium enterprises (SMEs) in developing nations that obtain more than 20 citations.

According to the descriptive statistics, India represents 20% of the highly referenced ICT research on small and medium enterprises (SMEs) in developing countries. While scholars from other developing countries also made contributions, it was primarily Indian researchers who played a prominent role, highlighting a noticeable disparity in ICT studies in other developing nations. Since ICT research is primarily conducted in established SMEs, future studies must investigate using various ICT tools and platforms to enhance diverse aspects of SME performance in developing nations. This study should also focus on identifying the obstacles that arise and finding strategies to overcome them.

The current research on information and communication technology (ICT) in small- and medium-sized firms (SMEs) primarily focuses on SMEs in the manufacturing and services sectors. Other related industries have gotten less attention in these studies. Moreover, a cross-sectional design is predominantly employed in most research studies. Future longitudinal research has the potential to offer fresh insights into the unresolved process. Implementing policies for ICT operations in small- and medium-sized firms (SMEs), especially in developing nations, is of utmost importance. Investigations should highlight the impact of government intervention in promoting the adoption of information and communication technology (ICT) to strengthen the competitiveness of small- and medium-sized firms (SMEs). The study has identified intrinsic and extrinsic factors that need to be addressed to promote the implementation of Information and Communication Technology (ICT) in Small and Medium Enterprises (SMEs) in developing countries. The fourth study examines the limitations and outcomes of introducing information and communication technology (ICT) in small and medium enterprises (SMEs) in developing nations.

Availability of data and materials

The data sets used and described during this study are available from the corresponding author.

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Acknowledgements

We want to acknowledge and thank the (1) Center for Higher Education Funding (Balai Pembiayaan Pendidikan Tinggi—BPPT), Ministry of Education, Culture, Research, and Technology Republic of Indonesia, and (2) Indonesia Endowment Fund for Education (Lembaga Pengelola Dana Pendidikan—LPDP), Ministry of Finance Republic of Indonesia for granting a scholarship to the first author to complete his studies (Registration Number: B3172023011028195727 and BPI Number: 202329113409). In addition, we would like to thank Huma Sikandar for sharing his research article on systematic literature insights.

This research was funded by The Center for Higher Education Funding (Balai Pembiayaan Pendidikan Tinggi—BPPT), Ministry of Education, Culture, Research, and Technology, Republic of Indonesia, and the Indonesia Endowment Funds for Education (Lembaga Pengelola Dana Pendidikan—LPDP), Ministry of Finance, Republic of Indonesia.

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Yuwono, T., Suroso, A. & Novandari, W. Information and communication technology in SMEs: a systematic literature review. J Innov Entrep 13 , 31 (2024). https://doi.org/10.1186/s13731-024-00392-6

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Published: 31 August 2024

Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023

Xianru Shang ORCID: orcid.org/0009-0000-8906-3216 1 ,
Zijian Liu 1 ,
Chen Gong 1 ,
Zhigang Hu 1 ,
Yuexuan Wu 1 &
Chengliang Wang ORCID: orcid.org/0000-0003-2208-3508 2

Humanities and Social Sciences Communications volume 11 , Article number: 1115 ( 2024 ) Cite this article

Metrics details

Science, technology and society

The rapid expansion of information technology and the intensification of population aging are two prominent features of contemporary societal development. Investigating older adults’ acceptance and use of technology is key to facilitating their integration into an information-driven society. Given this context, the technology acceptance of older adults has emerged as a prioritized research topic, attracting widespread attention in the academic community. However, existing research remains fragmented and lacks a systematic framework. To address this gap, we employed bibliometric methods, utilizing the Web of Science Core Collection to conduct a comprehensive review of literature on older adults’ technology acceptance from 2013 to 2023. Utilizing VOSviewer and CiteSpace for data assessment and visualization, we created knowledge mappings of research on older adults’ technology acceptance. Our study employed multidimensional methods such as co-occurrence analysis, clustering, and burst analysis to: (1) reveal research dynamics, key journals, and domains in this field; (2) identify leading countries, their collaborative networks, and core research institutions and authors; (3) recognize the foundational knowledge system centered on theoretical model deepening, emerging technology applications, and research methods and evaluation, uncovering seminal literature and observing a shift from early theoretical and influential factor analyses to empirical studies focusing on individual factors and emerging technologies; (4) moreover, current research hotspots are primarily in the areas of factors influencing technology adoption, human-robot interaction experiences, mobile health management, and aging-in-place technology, highlighting the evolutionary context and quality distribution of research themes. Finally, we recommend that future research should deeply explore improvements in theoretical models, long-term usage, and user experience evaluation. Overall, this study presents a clear framework of existing research in the field of older adults’ technology acceptance, providing an important reference for future theoretical exploration and innovative applications.

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Introduction.

In contemporary society, the rapid development of information technology has been intricately intertwined with the intensifying trend of population aging. According to the latest United Nations forecast, by 2050, the global population aged 65 and above is expected to reach 1.6 billion, representing about 16% of the total global population (UN 2023 ). Given the significant challenges of global aging, there is increasing evidence that emerging technologies have significant potential to maintain health and independence for older adults in their home and healthcare environments (Barnard et al. 2013 ; Soar 2010 ; Vancea and Solé-Casals 2016 ). This includes, but is not limited to, enhancing residential safety with smart home technologies (Touqeer et al. 2021 ; Wang et al. 2022 ), improving living independence through wearable technologies (Perez et al. 2023 ), and increasing medical accessibility via telehealth services (Kruse et al. 2020 ). Technological innovations are redefining the lifestyles of older adults, encouraging a shift from passive to active participation (González et al. 2012 ; Mostaghel 2016 ). Nevertheless, the effective application and dissemination of technology still depends on user acceptance and usage intentions (Naseri et al. 2023 ; Wang et al. 2023a ; Xia et al. 2024 ; Yu et al. 2023 ). Particularly, older adults face numerous challenges in accepting and using new technologies. These challenges include not only physical and cognitive limitations but also a lack of technological experience, along with the influences of social and economic factors (Valk et al. 2018 ; Wilson et al. 2021 ).

User acceptance of technology is a significant focus within information systems (IS) research (Dai et al. 2024 ), with several models developed to explain and predict user behavior towards technology usage, including the Technology Acceptance Model (TAM) (Davis 1989 ), TAM2, TAM3, and the Unified Theory of Acceptance and Use of Technology (UTAUT) (Venkatesh et al. 2003 ). Older adults, as a group with unique needs, exhibit different behavioral patterns during technology acceptance than other user groups, and these uniquenesses include changes in cognitive abilities, as well as motivations, attitudes, and perceptions of the use of new technologies (Chen and Chan 2011 ). The continual expansion of technology introduces considerable challenges for older adults, rendering the understanding of their technology acceptance a research priority. Thus, conducting in-depth research into older adults’ acceptance of technology is critically important for enhancing their integration into the information society and improving their quality of life through technological advancements.

Reviewing relevant literature to identify research gaps helps further solidify the theoretical foundation of the research topic. However, many existing literature reviews primarily focus on the factors influencing older adults’ acceptance or intentions to use technology. For instance, Ma et al. ( 2021 ) conducted a comprehensive analysis of the determinants of older adults’ behavioral intentions to use technology; Liu et al. ( 2022 ) categorized key variables in studies of older adults’ technology acceptance, noting a shift in focus towards social and emotional factors; Yap et al. ( 2022 ) identified seven categories of antecedents affecting older adults’ use of technology from an analysis of 26 articles, including technological, psychological, social, personal, cost, behavioral, and environmental factors; Schroeder et al. ( 2023 ) extracted 119 influencing factors from 59 articles and further categorized these into six themes covering demographics, health status, and emotional awareness. Additionally, some studies focus on the application of specific technologies, such as Ferguson et al. ( 2021 ), who explored barriers and facilitators to older adults using wearable devices for heart monitoring, and He et al. ( 2022 ) and Baer et al. ( 2022 ), who each conducted in-depth investigations into the acceptance of social assistive robots and mobile nutrition and fitness apps, respectively. In summary, current literature reviews on older adults’ technology acceptance exhibit certain limitations. Due to the interdisciplinary nature and complex knowledge structure of this field, traditional literature reviews often rely on qualitative analysis, based on literature analysis and periodic summaries, which lack sufficient objectivity and comprehensiveness. Additionally, systematic research is relatively limited, lacking a macroscopic description of the research trajectory from a holistic perspective. Over the past decade, research on older adults’ technology acceptance has experienced rapid growth, with a significant increase in literature, necessitating the adoption of new methods to review and examine the developmental trends in this field (Chen 2006 ; Van Eck and Waltman 2010 ). Bibliometric analysis, as an effective quantitative research method, analyzes published literature through visualization, offering a viable approach to extracting patterns and insights from a large volume of papers, and has been widely applied in numerous scientific research fields (Achuthan et al. 2023 ; Liu and Duffy 2023 ). Therefore, this study will employ bibliometric methods to systematically analyze research articles related to older adults’ technology acceptance published in the Web of Science Core Collection from 2013 to 2023, aiming to understand the core issues and evolutionary trends in the field, and to provide valuable references for future related research. Specifically, this study aims to explore and answer the following questions:

RQ1: What are the research dynamics in the field of older adults’ technology acceptance over the past decade? What are the main academic journals and fields that publish studies related to older adults’ technology acceptance?

RQ2: How is the productivity in older adults’ technology acceptance research distributed among countries, institutions, and authors?

RQ3: What are the knowledge base and seminal literature in older adults’ technology acceptance research? How has the research theme progressed?

RQ4: What are the current hot topics and their evolutionary trajectories in older adults’ technology acceptance research? How is the quality of research distributed?

Methodology and materials

Research method.

In recent years, bibliometrics has become one of the crucial methods for analyzing literature reviews and is widely used in disciplinary and industrial intelligence analysis (Jing et al. 2023 ; Lin and Yu 2024a ; Wang et al. 2024a ; Xu et al. 2021 ). Bibliometric software facilitates the visualization analysis of extensive literature data, intuitively displaying the network relationships and evolutionary processes between knowledge units, and revealing the underlying knowledge structure and potential information (Chen et al. 2024 ; López-Robles et al. 2018 ; Wang et al. 2024c ). This method provides new insights into the current status and trends of specific research areas, along with quantitative evidence, thereby enhancing the objectivity and scientific validity of the research conclusions (Chen et al. 2023 ; Geng et al. 2024 ). VOSviewer and CiteSpace are two widely used bibliometric software tools in academia (Pan et al. 2018 ), recognized for their robust functionalities based on the JAVA platform. Although each has its unique features, combining these two software tools effectively constructs mapping relationships between literature knowledge units and clearly displays the macrostructure of the knowledge domains. Particularly, VOSviewer, with its excellent graphical representation capabilities, serves as an ideal tool for handling large datasets and precisely identifying the focal points and hotspots of research topics. Therefore, this study utilizes VOSviewer (version 1.6.19) and CiteSpace (version 6.1.R6), combined with in-depth literature analysis, to comprehensively examine and interpret the research theme of older adults’ technology acceptance through an integrated application of quantitative and qualitative methods.

Data source

Web of Science is a comprehensively recognized database in academia, featuring literature that has undergone rigorous peer review and editorial scrutiny (Lin and Yu 2024b ; Mongeon and Paul-Hus 2016 ; Pranckutė 2021 ). This study utilizes the Web of Science Core Collection as its data source, specifically including three major citation indices: Science Citation Index Expanded (SCIE), Social Sciences Citation Index (SSCI), and Arts & Humanities Citation Index (A&HCI). These indices encompass high-quality research literature in the fields of science, social sciences, and arts and humanities, ensuring the comprehensiveness and reliability of the data. We combined “older adults” with “technology acceptance” through thematic search, with the specific search strategy being: TS = (elder OR elderly OR aging OR ageing OR senile OR senior OR old people OR “older adult*”) AND TS = (“technology acceptance” OR “user acceptance” OR “consumer acceptance”). The time span of literature search is from 2013 to 2023, with the types limited to “Article” and “Review” and the language to “English”. Additionally, the search was completed by October 27, 2023, to avoid data discrepancies caused by database updates. The initial search yielded 764 journal articles. Given that searches often retrieve articles that are superficially relevant but actually non-compliant, manual screening post-search was essential to ensure the relevance of the literature (Chen et al. 2024 ). Through manual screening, articles significantly deviating from the research theme were eliminated and rigorously reviewed. Ultimately, this study obtained 500 valid sample articles from the Web of Science Core Collection. The complete PRISMA screening process is illustrated in Fig. 1 .

Presentation of the data culling process in detail.

Data standardization

Raw data exported from databases often contain multiple expressions of the same terminology (Nguyen and Hallinger 2020 ). To ensure the accuracy and consistency of data, it is necessary to standardize the raw data (Strotmann and Zhao 2012 ). This study follows the data standardization process proposed by Taskin and Al ( 2019 ), mainly executing the following operations:

(1) Standardization of author and institution names is conducted to address different name expressions for the same author. For instance, “Chan, Alan Hoi Shou” and “Chan, Alan H. S.” are considered the same author, and distinct authors with the same name are differentiated by adding identifiers. Diverse forms of institutional names are unified to address variations caused by name changes or abbreviations, such as standardizing “FRANKFURT UNIV APPL SCI” and “Frankfurt University of Applied Sciences,” as well as “Chinese University of Hong Kong” and “University of Hong Kong” to consistent names.

(2) Different expressions of journal names are unified. For example, “International Journal of Human-Computer Interaction” and “Int J Hum Comput Interact” are standardized to a single name. This ensures consistency in journal names and prevents misclassification of literature due to differing journal names. Additionally, it involves checking if the journals have undergone name changes in the past decade to prevent any impact on the analysis due to such changes.

(3) Keywords data are cleansed by removing words that do not directly pertain to specific research content (e.g., people, review), merging synonyms (e.g., “UX” and “User Experience,” “aging-in-place” and “aging in place”), and standardizing plural forms of keywords (e.g., “assistive technologies” and “assistive technology,” “social robots” and “social robot”). This reduces redundant information in knowledge mapping.

Bibliometric results and analysis

Distribution power (rq1), literature descriptive statistical analysis.

Table 1 presents a detailed descriptive statistical overview of the literature in the field of older adults’ technology acceptance. After deduplication using the CiteSpace software, this study confirmed a valid sample size of 500 articles. Authored by 1839 researchers, the documents encompass 792 research institutions across 54 countries and are published in 217 different academic journals. As of the search cutoff date, these articles have accumulated 13,829 citations, with an annual average of 1156 citations, and an average of 27.66 citations per article. The h-index, a composite metric of quantity and quality of scientific output (Kamrani et al. 2021 ), reached 60 in this study.

Trends in publications and disciplinary distribution

The number of publications and citations are significant indicators of the research field’s development, reflecting its continuity, attention, and impact (Ale Ebrahim et al. 2014 ). The ranking of annual publications and citations in the field of older adults’ technology acceptance studies is presented chronologically in Fig. 2A . The figure shows a clear upward trend in the amount of literature in this field. Between 2013 and 2017, the number of publications increased slowly and decreased in 2018. However, in 2019, the number of publications increased rapidly to 52 and reached a peak of 108 in 2022, which is 6.75 times higher than in 2013. In 2022, the frequency of document citations reached its highest point with 3466 citations, reflecting the widespread recognition and citation of research in this field. Moreover, the curve of the annual number of publications fits a quadratic function, with a goodness-of-fit R 2 of 0.9661, indicating that the number of future publications is expected to increase even more rapidly.

A Trends in trends in annual publications and citations (2013–2023). B Overlay analysis of the distribution of discipline fields.

Figure 2B shows that research on older adults’ technology acceptance involves the integration of multidisciplinary knowledge. According to Web of Science Categories, these 500 articles are distributed across 85 different disciplines. We have tabulated the top ten disciplines by publication volume (Table 2 ), which include Medical Informatics (75 articles, 15.00%), Health Care Sciences & Services (71 articles, 14.20%), Gerontology (61 articles, 12.20%), Public Environmental & Occupational Health (57 articles, 11.40%), and Geriatrics & Gerontology (52 articles, 10.40%), among others. The high output in these disciplines reflects the concentrated global academic interest in this comprehensive research topic. Additionally, interdisciplinary research approaches provide diverse perspectives and a solid theoretical foundation for studies on older adults’ technology acceptance, also paving the way for new research directions.

Knowledge flow analysis

A dual-map overlay is a CiteSpace map superimposed on top of a base map, which shows the interrelationships between journals in different domains, representing the publication and citation activities in each domain (Chen and Leydesdorff 2014 ). The overlay map reveals the link between the citing domain (on the left side) and the cited domain (on the right side), reflecting the knowledge flow of the discipline at the journal level (Leydesdorff and Rafols 2012 ). We utilize the in-built Z-score algorithm of the software to cluster the graph, as shown in Fig. 3 .

The left side shows the citing journal, and the right side shows the cited journal.

Figure 3 shows the distribution of citing journals clusters for older adults’ technology acceptance on the left side, while the right side refers to the main cited journals clusters. Two knowledge flow citation trajectories were obtained; they are presented by the color of the cited regions, and the thickness of these trajectories is proportional to the Z-score scaled frequency of citations (Chen et al. 2014 ). Within the cited regions, the most popular fields with the most records covered are “HEALTH, NURSING, MEDICINE” and “PSYCHOLOGY, EDUCATION, SOCIAL”, and the elliptical aspect ratio of these two fields stands out. Fields have prominent elliptical aspect ratios, highlighting their significant influence on older adults’ technology acceptance research. Additionally, the major citation trajectories originate in these two areas and progress to the frontier research area of “PSYCHOLOGY, EDUCATION, HEALTH”. It is worth noting that the citation trajectory from “PSYCHOLOGY, EDUCATION, SOCIAL” has a significant Z-value (z = 6.81), emphasizing the significance and impact of this development path. In the future, “MATHEMATICS, SYSTEMS, MATHEMATICAL”, “MOLECULAR, BIOLOGY, IMMUNOLOGY”, and “NEUROLOGY, SPORTS, OPHTHALMOLOGY” may become emerging fields. The fields of “MEDICINE, MEDICAL, CLINICAL” may be emerging areas of cutting-edge research.

Main research journals analysis

Table 3 provides statistics for the top ten journals by publication volume in the field of older adults’ technology acceptance. Together, these journals have published 137 articles, accounting for 27.40% of the total publications, indicating that there is no highly concentrated core group of journals in this field, with publications being relatively dispersed. Notably, Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction each lead with 15 publications. In terms of citation metrics, International Journal of Medical Informatics and Computers in Human Behavior stand out significantly, with the former accumulating a total of 1,904 citations, averaging 211.56 citations per article, and the latter totaling 1,449 citations, with an average of 96.60 citations per article. These figures emphasize the academic authority and widespread impact of these journals within the research field.

Research power (RQ2)

Countries and collaborations analysis.

The analysis revealed the global research pattern for country distribution and collaboration (Chen et al. 2019 ). Figure 4A shows the network of national collaborations on older adults’ technology acceptance research. The size of the bubbles represents the amount of publications in each country, while the thickness of the connecting lines expresses the closeness of the collaboration among countries. Generally, this research subject has received extensive international attention, with China and the USA publishing far more than any other countries. China has established notable research collaborations with the USA, UK and Malaysia in this field, while other countries have collaborations, but the closeness is relatively low and scattered. Figure 4B shows the annual publication volume dynamics of the top ten countries in terms of total publications. Since 2017, China has consistently increased its annual publications, while the USA has remained relatively stable. In 2019, the volume of publications in each country increased significantly, this was largely due to the global outbreak of the COVID-19 pandemic, which has led to increased reliance on information technology among the elderly for medical consultations, online socialization, and health management (Sinha et al. 2021 ). This phenomenon has led to research advances in technology acceptance among older adults in various countries. Table 4 shows that the top ten countries account for 93.20% of the total cumulative number of publications, with each country having published more than 20 papers. Among these ten countries, all of them except China are developed countries, indicating that the research field of older adults’ technology acceptance has received general attention from developed countries. Currently, China and the USA were the leading countries in terms of publications with 111 and 104 respectively, accounting for 22.20% and 20.80%. The UK, Germany, Italy, and the Netherlands also made significant contributions. The USA and China ranked first and second in terms of the number of citations, while the Netherlands had the highest average citations, indicating the high impact and quality of its research. The UK has shown outstanding performance in international cooperation, while the USA highlights its significant academic influence in this field with the highest h-index value.

A National collaboration network. B Annual volume of publications in the top 10 countries.

Institutions and authors analysis

Analyzing the number of publications and citations can reveal an institution’s or author’s research strength and influence in a particular research area (Kwiek 2021 ). Tables 5 and 6 show the statistics of the institutions and authors whose publication counts are in the top ten, respectively. As shown in Table 5 , higher education institutions hold the main position in this research field. Among the top ten institutions, City University of Hong Kong and The University of Hong Kong from China lead with 14 and 9 publications, respectively. City University of Hong Kong has the highest h-index, highlighting its significant influence in the field. It is worth noting that Tilburg University in the Netherlands is not among the top five in terms of publications, but the high average citation count (130.14) of its literature demonstrates the high quality of its research.

After analyzing the authors’ output using Price’s Law (Redner 1998 ), the highest number of publications among the authors counted ( n = 10) defines a publication threshold of 3 for core authors in this research area. As a result of quantitative screening, a total of 63 core authors were identified. Table 6 shows that Chen from Zhejiang University, China, Ziefle from RWTH Aachen University, Germany, and Rogers from Macquarie University, Australia, were the top three authors in terms of the number of publications, with 10, 9, and 8 articles, respectively. In terms of average citation rate, Peek and Wouters, both scholars from the Netherlands, have significantly higher rates than other scholars, with 183.2 and 152.67 respectively. This suggests that their research is of high quality and widely recognized. Additionally, Chen and Rogers have high h-indices in this field.

Knowledge base and theme progress (RQ3)

Research knowledge base.

Co-citation relationships occur when two documents are cited together (Zhang and Zhu 2022 ). Co-citation mapping uses references as nodes to represent the knowledge base of a subject area (Min et al. 2021). Figure 5A illustrates co-occurrence mapping in older adults’ technology acceptance research, where larger nodes signify higher co-citation frequencies. Co-citation cluster analysis can be used to explore knowledge structure and research boundaries (Hota et al. 2020 ; Shiau et al. 2023 ). The co-citation clustering mapping of older adults’ technology acceptance research literature (Fig. 5B ) shows that the Q value of the clustering result is 0.8129 (>0.3), and the average value of the weight S is 0.9391 (>0.7), indicating that the clusters are uniformly distributed with a significant and credible structure. This further proves that the boundaries of the research field are clear and there is significant differentiation in the field. The figure features 18 cluster labels, each associated with thematic color blocks corresponding to different time slices. Highlighted emerging research themes include #2 Smart Home Technology, #7 Social Live, and #10 Customer Service. Furthermore, the clustering labels extracted are primarily classified into three categories: theoretical model deepening, emerging technology applications, research methods and evaluation, as detailed in Table 7 .

A Co-citation analysis of references. B Clustering network analysis of references.

Seminal literature analysis

The top ten nodes in terms of co-citation frequency were selected for further analysis. Table 8 displays the corresponding node information. Studies were categorized into four main groups based on content analysis. (1) Research focusing on specific technology usage by older adults includes studies by Peek et al. ( 2014 ), Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ), who investigated the factors influencing the use of e-technology, smartphones, mHealth, and smart wearables, respectively. (2) Concerning the development of theoretical models of technology acceptance, Chen and Chan ( 2014 ) introduced the Senior Technology Acceptance Model (STAM), and Macedo ( 2017 ) analyzed the predictive power of UTAUT2 in explaining older adults’ intentional behaviors and information technology usage. (3) In exploring older adults’ information technology adoption and behavior, Lee and Coughlin ( 2015 ) emphasized that the adoption of technology by older adults is a multifactorial process that includes performance, price, value, usability, affordability, accessibility, technical support, social support, emotion, independence, experience, and confidence. Yusif et al. ( 2016 ) conducted a literature review examining the key barriers affecting older adults’ adoption of assistive technology, including factors such as privacy, trust, functionality/added value, cost, and stigma. (4) From the perspective of research into older adults’ technology acceptance, Mitzner et al. ( 2019 ) assessed the long-term usage of computer systems designed for the elderly, whereas Guner and Acarturk ( 2020 ) compared information technology usage and acceptance between older and younger adults. The breadth and prevalence of this literature make it a vital reference for researchers in the field, also providing new perspectives and inspiration for future research directions.

Research thematic progress

Burst citation is a node of literature that guides the sudden change in dosage, which usually represents a prominent development or major change in a particular field, with innovative and forward-looking qualities. By analyzing the emergent literature, it is often easy to understand the dynamics of the subject area, mapping the emerging thematic change (Chen et al. 2022 ). Figure 6 shows the burst citation mapping in the field of older adults’ technology acceptance research, with burst citations represented by red nodes (Fig. 6A ). For the ten papers with the highest burst intensity (Fig. 6B ), this study will conduct further analysis in conjunction with literature review.

A Burst detection of co-citation. B The top 10 references with the strongest citation bursts.

As shown in Fig. 6 , Mitzner et al. ( 2010 ) broke the stereotype that older adults are fearful of technology, found that they actually have positive attitudes toward technology, and emphasized the centrality of ease of use and usefulness in the process of technology acceptance. This finding provides an important foundation for subsequent research. During the same period, Wagner et al. ( 2010 ) conducted theory-deepening and applied research on technology acceptance among older adults. The research focused on older adults’ interactions with computers from the perspective of Social Cognitive Theory (SCT). This expanded the understanding of technology acceptance, particularly regarding the relationship between behavior, environment, and other SCT elements. In addition, Pan and Jordan-Marsh ( 2010 ) extended the TAM to examine the interactions among predictors of perceived usefulness, perceived ease of use, subjective norm, and convenience conditions when older adults use the Internet, taking into account the moderating roles of gender and age. Heerink et al. ( 2010 ) adapted and extended the UTAUT, constructed a technology acceptance model specifically designed for older users’ acceptance of assistive social agents, and validated it using controlled experiments and longitudinal data, explaining intention to use by combining functional assessment and social interaction variables.

Then the research theme shifted to an in-depth analysis of the factors influencing technology acceptance among older adults. Two papers with high burst strengths emerged during this period: Peek et al. ( 2014 ) (Strength = 12.04), Chen and Chan ( 2014 ) (Strength = 9.81). Through a systematic literature review and empirical study, Peek STM and Chen K, among others, identified multidimensional factors that influence older adults’ technology acceptance. Peek et al. ( 2014 ) analyzed literature on the acceptance of in-home care technology among older adults and identified six factors that influence their acceptance: concerns about technology, expected benefits, technology needs, technology alternatives, social influences, and older adult characteristics, with a focus on differences between pre- and post-implementation factors. Chen and Chan ( 2014 ) constructed the STAM by administering a questionnaire to 1012 older adults and adding eight important factors, including technology anxiety, self-efficacy, cognitive ability, and physical function, based on the TAM. This enriches the theoretical foundation of the field. In addition, Braun ( 2013 ) highlighted the role of perceived usefulness, trust in social networks, and frequency of Internet use in older adults’ use of social networks, while ease of use and social pressure were not significant influences. These findings contribute to the study of older adults’ technology acceptance within specific technology application domains.

Recent research has focused on empirical studies of personal factors and emerging technologies. Ma et al. ( 2016 ) identified key personal factors affecting smartphone acceptance among older adults through structured questionnaires and face-to-face interviews with 120 participants. The study found that cost, self-satisfaction, and convenience were important factors influencing perceived usefulness and ease of use. This study offers empirical evidence to comprehend the main factors that drive smartphone acceptance among Chinese older adults. Additionally, Yusif et al. ( 2016 ) presented an overview of the obstacles that hinder older adults’ acceptance of assistive technologies, focusing on privacy, trust, and functionality.

In summary, research on older adults’ technology acceptance has shifted from early theoretical deepening and analysis of influencing factors to empirical studies in the areas of personal factors and emerging technologies, which have greatly enriched the theoretical basis of older adults’ technology acceptance and provided practical guidance for the design of emerging technology products.

Research hotspots, evolutionary trends, and quality distribution (RQ4)

Core keywords analysis.

Keywords concise the main idea and core of the literature, and are a refined summary of the research content (Huang et al. 2021 ). In CiteSpace, nodes with a centrality value greater than 0.1 are considered to be critical nodes. Analyzing keywords with high frequency and centrality helps to visualize the hot topics in the research field (Park et al. 2018 ). The merged keywords were imported into CiteSpace, and the top 10 keywords were counted and sorted by frequency and centrality respectively, as shown in Table 9 . The results show that the keyword “TAM” has the highest frequency (92), followed by “UTAUT” (24), which reflects that the in-depth study of the existing technology acceptance model and its theoretical expansion occupy a central position in research related to older adults’ technology acceptance. Furthermore, the terms ‘assistive technology’ and ‘virtual reality’ are both high-frequency and high-centrality terms (frequency = 17, centrality = 0.10), indicating that the research on assistive technology and virtual reality for older adults is the focus of current academic attention.

Research hotspots analysis

Using VOSviewer for keyword co-occurrence analysis organizes keywords into groups or clusters based on their intrinsic connections and frequencies, clearly highlighting the research field’s hot topics. The connectivity among keywords reveals correlations between different topics. To ensure accuracy, the analysis only considered the authors’ keywords. Subsequently, the keywords were filtered by setting the keyword frequency to 5 to obtain the keyword clustering map of the research on older adults’ technology acceptance research keyword clustering mapping (Fig. 7 ), combined with the keyword co-occurrence clustering network (Fig. 7A ) and the corresponding density situation (Fig. 7B ) to make a detailed analysis of the following four groups of clustered themes.

A Co-occurrence clustering network. B Keyword density.

Cluster #1—Research on the factors influencing technology adoption among older adults is a prominent topic, covering age, gender, self-efficacy, attitude, and and intention to use (Berkowsky et al. 2017 ; Wang et al. 2017 ). It also examined older adults’ attitudes towards and acceptance of digital health technologies (Ahmad and Mozelius, 2022 ). Moreover, the COVID-19 pandemic, significantly impacting older adults’ technology attitudes and usage, has underscored the study’s importance and urgency. Therefore, it is crucial to conduct in-depth studies on how older adults accept, adopt, and effectively use new technologies, to address their needs and help them overcome the digital divide within digital inclusion. This will improve their quality of life and healthcare experiences.

Cluster #2—Research focuses on how older adults interact with assistive technologies, especially assistive robots and health monitoring devices, emphasizing trust, usability, and user experience as crucial factors (Halim et al. 2022 ). Moreover, health monitoring technologies effectively track and manage health issues common in older adults, like dementia and mild cognitive impairment (Lussier et al. 2018 ; Piau et al. 2019 ). Interactive exercise games and virtual reality have been deployed to encourage more physical and cognitive engagement among older adults (Campo-Prieto et al. 2021 ). Personalized and innovative technology significantly enhances older adults’ participation, improving their health and well-being.

Cluster #3—Optimizing health management for older adults using mobile technology. With the development of mobile health (mHealth) and health information technology, mobile applications, smartphones, and smart wearable devices have become effective tools to help older users better manage chronic conditions, conduct real-time health monitoring, and even receive telehealth services (Dupuis and Tsotsos 2018 ; Olmedo-Aguirre et al. 2022 ; Kim et al. 2014 ). Additionally, these technologies can mitigate the problem of healthcare resource inequality, especially in developing countries. Older adults’ acceptance and use of these technologies are significantly influenced by their behavioral intentions, motivational factors, and self-management skills. These internal motivational factors, along with external factors, jointly affect older adults’ performance in health management and quality of life.

Cluster #4—Research on technology-assisted home care for older adults is gaining popularity. Environmentally assisted living enhances older adults’ independence and comfort at home, offering essential support and security. This has a crucial impact on promoting healthy aging (Friesen et al. 2016 ; Wahlroos et al. 2023 ). The smart home is a core application in this field, providing a range of solutions that facilitate independent living for the elderly in a highly integrated and user-friendly manner. This fulfills different dimensions of living and health needs (Majumder et al. 2017 ). Moreover, eHealth offers accurate and personalized health management and healthcare services for older adults (Delmastro et al. 2018 ), ensuring their needs are met at home. Research in this field often employs qualitative methods and structural equation modeling to fully understand older adults’ needs and experiences at home and analyze factors influencing technology adoption.

Evolutionary trends analysis

To gain a deeper understanding of the evolutionary trends in research hotspots within the field of older adults’ technology acceptance, we conducted a statistical analysis of the average appearance times of keywords, using CiteSpace to generate the time-zone evolution mapping (Fig. 8 ) and burst keywords. The time-zone mapping visually displays the evolution of keywords over time, intuitively reflecting the frequency and initial appearance of keywords in research, commonly used to identify trends in research topics (Jing et al. 2024a ; Kumar et al. 2021 ). Table 10 lists the top 15 keywords by burst strength, with the red sections indicating high-frequency citations and their burst strength in specific years. These burst keywords reveal the focus and trends of research themes over different periods (Kleinberg 2002 ). Combining insights from the time-zone mapping and burst keywords provides more objective and accurate research insights (Wang et al. 2023b ).

Reflecting the frequency and time of first appearance of keywords in the study.

An integrated analysis of Fig. 8 and Table 10 shows that early research on older adults’ technology acceptance primarily focused on factors such as perceived usefulness, ease of use, and attitudes towards information technology, including their use of computers and the internet (Pan and Jordan-Marsh 2010 ), as well as differences in technology use between older adults and other age groups (Guner and Acarturk 2020 ). Subsequently, the research focus expanded to improving the quality of life for older adults, exploring how technology can optimize health management and enhance the possibility of independent living, emphasizing the significant role of technology in improving the quality of life for the elderly. With ongoing technological advancements, recent research has shifted towards areas such as “virtual reality,” “telehealth,” and “human-robot interaction,” with a focus on the user experience of older adults (Halim et al. 2022 ). The appearance of keywords such as “physical activity” and “exercise” highlights the value of technology in promoting physical activity and health among older adults. This phase of research tends to make cutting-edge technology genuinely serve the practical needs of older adults, achieving its widespread application in daily life. Additionally, research has focused on expanding and quantifying theoretical models of older adults’ technology acceptance, involving keywords such as “perceived risk”, “validation” and “UTAUT”.

In summary, from 2013 to 2023, the field of older adults’ technology acceptance has evolved from initial explorations of influencing factors, to comprehensive enhancements in quality of life and health management, and further to the application and deepening of theoretical models and cutting-edge technologies. This research not only reflects the diversity and complexity of the field but also demonstrates a comprehensive and in-depth understanding of older adults’ interactions with technology across various life scenarios and needs.

Research quality distribution

To reveal the distribution of research quality in the field of older adults’ technology acceptance, a strategic diagram analysis is employed to calculate and illustrate the internal development and interrelationships among various research themes (Xie et al. 2020 ). The strategic diagram uses Centrality as the X-axis and Density as the Y-axis to divide into four quadrants, where the X-axis represents the strength of the connection between thematic clusters and other themes, with higher values indicating a central position in the research field; the Y-axis indicates the level of development within the thematic clusters, with higher values denoting a more mature and widely recognized field (Li and Zhou 2020 ).

Through cluster analysis and manual verification, this study categorized 61 core keywords (Frequency ≥5) into 11 thematic clusters. Subsequently, based on the keywords covered by each thematic cluster, the research themes and their directions for each cluster were summarized (Table 11 ), and the centrality and density coordinates for each cluster were precisely calculated (Table 12 ). Finally, a strategic diagram of the older adults’ technology acceptance research field was constructed (Fig. 9 ). Based on the distribution of thematic clusters across the quadrants in the strategic diagram, the structure and developmental trends of the field were interpreted.

Classification and visualization of theme clusters based on density and centrality.

As illustrated in Fig. 9 , (1) the theme clusters of #3 Usage Experience and #4 Assisted Living Technology are in the first quadrant, characterized by high centrality and density. Their internal cohesion and close links with other themes indicate their mature development, systematic research content or directions have been formed, and they have a significant influence on other themes. These themes play a central role in the field of older adults’ technology acceptance and have promising prospects. (2) The theme clusters of #6 Smart Devices, #9 Theoretical Models, and #10 Mobile Health Applications are in the second quadrant, with higher density but lower centrality. These themes have strong internal connections but weaker external links, indicating that these three themes have received widespread attention from researchers and have been the subject of related research, but more as self-contained systems and exhibit independence. Therefore, future research should further explore in-depth cooperation and cross-application with other themes. (3) The theme clusters of #7 Human-Robot Interaction, #8 Characteristics of the Elderly, and #11 Research Methods are in the third quadrant, with lower centrality and density. These themes are loosely connected internally and have weak links with others, indicating their developmental immaturity. Compared to other topics, they belong to the lower attention edge and niche themes, and there is a need for further investigation. (4) The theme clusters of #1 Digital Healthcare Technology, #2 Psychological Factors, and #5 Socio-Cultural Factors are located in the fourth quadrant, with high centrality but low density. Although closely associated with other research themes, the internal cohesion within these clusters is relatively weak. This suggests that while these themes are closely linked to other research areas, their own development remains underdeveloped, indicating a core immaturity. Nevertheless, these themes are crucial within the research domain of elderly technology acceptance and possess significant potential for future exploration.

Discussion on distribution power (RQ1)

Over the past decade, academic interest and influence in the area of older adults’ technology acceptance have significantly increased. This trend is evidenced by a quantitative analysis of publication and citation volumes, particularly noticeable in 2019 and 2022, where there was a substantial rise in both metrics. The rise is closely linked to the widespread adoption of emerging technologies such as smart homes, wearable devices, and telemedicine among older adults. While these technologies have enhanced their quality of life, they also pose numerous challenges, sparking extensive research into their acceptance, usage behaviors, and influencing factors among the older adults (Pirzada et al. 2022 ; Garcia Reyes et al. 2023 ). Furthermore, the COVID-19 pandemic led to a surge in technology demand among older adults, especially in areas like medical consultation, online socialization, and health management, further highlighting the importance and challenges of technology. Health risks and social isolation have compelled older adults to rely on technology for daily activities, accelerating its adoption and application within this demographic. This phenomenon has made technology acceptance a critical issue, driving societal and academic focus on the study of technology acceptance among older adults.

The flow of knowledge at the level of high-output disciplines and journals, along with the primary publishing outlets, indicates the highly interdisciplinary nature of research into older adults’ technology acceptance. This reflects the complexity and breadth of issues related to older adults’ technology acceptance, necessitating the integration of multidisciplinary knowledge and approaches. Currently, research is primarily focused on medical health and human-computer interaction, demonstrating academic interest in improving health and quality of life for older adults and addressing the urgent needs related to their interactions with technology. In the field of medical health, research aims to provide advanced and innovative healthcare technologies and services to meet the challenges of an aging population while improving the quality of life for older adults (Abdi et al. 2020 ; Wilson et al. 2021 ). In the field of human-computer interaction, research is focused on developing smarter and more user-friendly interaction models to meet the needs of older adults in the digital age, enabling them to actively participate in social activities and enjoy a higher quality of life (Sayago, 2019 ). These studies are crucial for addressing the challenges faced by aging societies, providing increased support and opportunities for the health, welfare, and social participation of older adults.

Discussion on research power (RQ2)

This study analyzes leading countries and collaboration networks, core institutions and authors, revealing the global research landscape and distribution of research strength in the field of older adults’ technology acceptance, and presents quantitative data on global research trends. From the analysis of country distribution and collaborations, China and the USA hold dominant positions in this field, with developed countries like the UK, Germany, Italy, and the Netherlands also excelling in international cooperation and research influence. The significant investment in technological research and the focus on the technological needs of older adults by many developed countries reflect their rapidly aging societies, policy support, and resource allocation.

China is the only developing country that has become a major contributor in this field, indicating its growing research capabilities and high priority given to aging societies and technological innovation. Additionally, China has close collaborations with countries such as USA, the UK, and Malaysia, driven not only by technological research needs but also by shared challenges and complementarities in aging issues among these nations. For instance, the UK has extensive experience in social welfare and aging research, providing valuable theoretical guidance and practical experience. International collaborations, aimed at addressing the challenges of aging, integrate the strengths of various countries, advancing in-depth and widespread development in the research of technology acceptance among older adults.

At the institutional and author level, City University of Hong Kong leads in publication volume, with research teams led by Chan and Chen demonstrating significant academic activity and contributions. Their research primarily focuses on older adults’ acceptance and usage behaviors of various technologies, including smartphones, smart wearables, and social robots (Chen et al. 2015 ; Li et al. 2019 ; Ma et al. 2016 ). These studies, targeting specific needs and product characteristics of older adults, have developed new models of technology acceptance based on existing frameworks, enhancing the integration of these technologies into their daily lives and laying a foundation for further advancements in the field. Although Tilburg University has a smaller publication output, it holds significant influence in the field of older adults’ technology acceptance. Particularly, the high citation rate of Peek’s studies highlights their excellence in research. Peek extensively explored older adults’ acceptance and usage of home care technologies, revealing the complexity and dynamics of their technology use behaviors. His research spans from identifying systemic influencing factors (Peek et al. 2014 ; Peek et al. 2016 ), emphasizing familial impacts (Luijkx et al. 2015 ), to constructing comprehensive models (Peek et al. 2017 ), and examining the dynamics of long-term usage (Peek et al. 2019 ), fully reflecting the evolving technology landscape and the changing needs of older adults. Additionally, the ongoing contributions of researchers like Ziefle, Rogers, and Wouters in the field of older adults’ technology acceptance demonstrate their research influence and leadership. These researchers have significantly enriched the knowledge base in this area with their diverse perspectives. For instance, Ziefle has uncovered the complex attitudes of older adults towards technology usage, especially the trade-offs between privacy and security, and how different types of activities affect their privacy needs (Maidhof et al. 2023 ; Mujirishvili et al. 2023 ; Schomakers and Ziefle 2023 ; Wilkowska et al. 2022 ), reflecting a deep exploration and ongoing innovation in the field of older adults’ technology acceptance.

Discussion on knowledge base and thematic progress (RQ3)

Through co-citation analysis and systematic review of seminal literature, this study reveals the knowledge foundation and thematic progress in the field of older adults’ technology acceptance. Co-citation networks and cluster analyses illustrate the structural themes of the research, delineating the differentiation and boundaries within this field. Additionally, burst detection analysis offers a valuable perspective for understanding the thematic evolution in the field of technology acceptance among older adults. The development and innovation of theoretical models are foundational to this research. Researchers enhance the explanatory power of constructed models by deepening and expanding existing technology acceptance theories to address theoretical limitations. For instance, Heerink et al. ( 2010 ) modified and expanded the UTAUT model by integrating functional assessment and social interaction variables to create the almere model. This model significantly enhances the ability to explain the intentions of older users in utilizing assistive social agents and improves the explanation of actual usage behaviors. Additionally, Chen and Chan ( 2014 ) extended the TAM to include age-related health and capability features of older adults, creating the STAM, which substantially improves predictions of older adults’ technology usage behaviors. Personal attributes, health and capability features, and facilitating conditions have a direct impact on technology acceptance. These factors more effectively predict older adults’ technology usage behaviors than traditional attitudinal factors.

With the advancement of technology and the application of emerging technologies, new research topics have emerged, increasingly focusing on older adults’ acceptance and use of these technologies. Prior to this, the study by Mitzner et al. ( 2010 ) challenged the stereotype of older adults’ conservative attitudes towards technology, highlighting the central roles of usability and usefulness in the technology acceptance process. This discovery laid an important foundation for subsequent research. Research fields such as “smart home technology,” “social life,” and “customer service” are emerging, indicating a shift in focus towards the practical and social applications of technology in older adults’ lives. Research not only focuses on the technology itself but also on how these technologies integrate into older adults’ daily lives and how they can improve the quality of life through technology. For instance, studies such as those by Ma et al. ( 2016 ), Hoque and Sorwar ( 2017 ), and Li et al. ( 2019 ) have explored factors influencing older adults’ use of smartphones, mHealth, and smart wearable devices.

Furthermore, the diversification of research methodologies and innovation in evaluation techniques, such as the use of mixed methods, structural equation modeling (SEM), and neural network (NN) approaches, have enhanced the rigor and reliability of the findings, enabling more precise identification of the factors and mechanisms influencing technology acceptance. Talukder et al. ( 2020 ) employed an effective multimethodological strategy by integrating SEM and NN to leverage the complementary strengths of both approaches, thus overcoming their individual limitations and more accurately analyzing and predicting older adults’ acceptance of wearable health technologies (WHT). SEM is utilized to assess the determinants’ impact on the adoption of WHT, while neural network models validate SEM outcomes and predict the significance of key determinants. This combined approach not only boosts the models’ reliability and explanatory power but also provides a nuanced understanding of the motivations and barriers behind older adults’ acceptance of WHT, offering deep research insights.

Overall, co-citation analysis of the literature in the field of older adults’ technology acceptance has uncovered deeper theoretical modeling and empirical studies on emerging technologies, while emphasizing the importance of research methodological and evaluation innovations in understanding complex social science issues. These findings are crucial for guiding the design and marketing strategies of future technology products, especially in the rapidly growing market of older adults.

Discussion on research hotspots and evolutionary trends (RQ4)

By analyzing core keywords, we can gain deep insights into the hot topics, evolutionary trends, and quality distribution of research in the field of older adults’ technology acceptance. The frequent occurrence of the keywords “TAM” and “UTAUT” indicates that the applicability and theoretical extension of existing technology acceptance models among older adults remain a focal point in academia. This phenomenon underscores the enduring influence of the studies by Davis ( 1989 ) and Venkatesh et al. ( 2003 ), whose models provide a robust theoretical framework for explaining and predicting older adults’ acceptance and usage of emerging technologies. With the widespread application of artificial intelligence (AI) and big data technologies, these theoretical models have incorporated new variables such as perceived risk, trust, and privacy issues (Amin et al. 2024 ; Chen et al. 2024 ; Jing et al. 2024b ; Seibert et al. 2021 ; Wang et al. 2024b ), advancing the theoretical depth and empirical research in this field.

Keyword co-occurrence cluster analysis has revealed multiple research hotspots in the field, including factors influencing technology adoption, interactive experiences between older adults and assistive technologies, the application of mobile health technology in health management, and technology-assisted home care. These studies primarily focus on enhancing the quality of life and health management of older adults through emerging technologies, particularly in the areas of ambient assisted living, smart health monitoring, and intelligent medical care. In these domains, the role of AI technology is increasingly significant (Qian et al. 2021 ; Ho 2020 ). With the evolution of next-generation information technologies, AI is increasingly integrated into elder care systems, offering intelligent, efficient, and personalized service solutions by analyzing the lifestyles and health conditions of older adults. This integration aims to enhance older adults’ quality of life in aspects such as health monitoring and alerts, rehabilitation assistance, daily health management, and emotional support (Lee et al. 2023 ). A survey indicates that 83% of older adults prefer AI-driven solutions when selecting smart products, demonstrating the increasing acceptance of AI in elder care (Zhao and Li 2024 ). Integrating AI into elder care presents both opportunities and challenges, particularly in terms of user acceptance, trust, and long-term usage effects, which warrant further exploration (Mhlanga 2023 ). These studies will help better understand the profound impact of AI technology on the lifestyles of older adults and provide critical references for optimizing AI-driven elder care services.

The Time-zone evolution mapping and burst keyword analysis further reveal the evolutionary trends of research hotspots. Early studies focused on basic technology acceptance models and user perceptions, later expanding to include quality of life and health management. In recent years, research has increasingly focused on cutting-edge technologies such as virtual reality, telehealth, and human-robot interaction, with a concurrent emphasis on the user experience of older adults. This evolutionary process demonstrates a deepening shift from theoretical models to practical applications, underscoring the significant role of technology in enhancing the quality of life for older adults. Furthermore, the strategic coordinate mapping analysis clearly demonstrates the development and mutual influence of different research themes. High centrality and density in the themes of Usage Experience and Assisted Living Technology indicate their mature research status and significant impact on other themes. The themes of Smart Devices, Theoretical Models, and Mobile Health Applications demonstrate self-contained research trends. The themes of Human-Robot Interaction, Characteristics of the Elderly, and Research Methods are not yet mature, but they hold potential for development. Themes of Digital Healthcare Technology, Psychological Factors, and Socio-Cultural Factors are closely related to other themes, displaying core immaturity but significant potential.

In summary, the research hotspots in the field of older adults’ technology acceptance are diverse and dynamic, demonstrating the academic community’s profound understanding of how older adults interact with technology across various life contexts and needs. Under the influence of AI and big data, research should continue to focus on the application of emerging technologies among older adults, exploring in depth how they adapt to and effectively use these technologies. This not only enhances the quality of life and healthcare experiences for older adults but also drives ongoing innovation and development in this field.

Research agenda

Based on the above research findings, to further understand and promote technology acceptance and usage among older adults, we recommend future studies focus on refining theoretical models, exploring long-term usage, and assessing user experience in the following detailed aspects:

Refinement and validation of specific technology acceptance models for older adults: Future research should focus on developing and validating technology acceptance models based on individual characteristics, particularly considering variations in technology acceptance among older adults across different educational levels and cultural backgrounds. This includes factors such as age, gender, educational background, and cultural differences. Additionally, research should examine how well specific technologies, such as wearable devices and mobile health applications, meet the needs of older adults. Building on existing theoretical models, this research should integrate insights from multiple disciplines such as psychology, sociology, design, and engineering through interdisciplinary collaboration to create more accurate and comprehensive models, which should then be validated in relevant contexts.

Deepening the exploration of the relationship between long-term technology use and quality of life among older adults: The acceptance and use of technology by users is a complex and dynamic process (Seuwou et al. 2016 ). Existing research predominantly focuses on older adults’ initial acceptance or short-term use of new technologies; however, the impact of long-term use on their quality of life and health is more significant. Future research should focus on the evolution of older adults’ experiences and needs during long-term technology usage, and the enduring effects of technology on their social interactions, mental health, and life satisfaction. Through longitudinal studies and qualitative analysis, this research reveals the specific needs and challenges of older adults in long-term technology use, providing a basis for developing technologies and strategies that better meet their requirements. This understanding aids in comprehensively assessing the impact of technology on older adults’ quality of life and guiding the optimization and improvement of technological products.

Evaluating the Importance of User Experience in Research on Older Adults’ Technology Acceptance: Understanding the mechanisms of information technology acceptance and use is central to human-computer interaction research. Although technology acceptance models and user experience models differ in objectives, they share many potential intersections. Technology acceptance research focuses on structured prediction and assessment, while user experience research concentrates on interpreting design impacts and new frameworks. Integrating user experience to assess older adults’ acceptance of technology products and systems is crucial (Codfrey et al. 2022 ; Wang et al. 2019 ), particularly for older users, where specific product designs should emphasize practicality and usability (Fisk et al. 2020 ). Researchers need to explore innovative age-appropriate design methods to enhance older adults’ usage experience. This includes studying older users’ actual usage preferences and behaviors, optimizing user interfaces, and interaction designs. Integrating feedback from older adults to tailor products to their needs can further promote their acceptance and continued use of technology products.

Conclusions

This study conducted a systematic review of the literature on older adults’ technology acceptance over the past decade through bibliometric analysis, focusing on the distribution power, research power, knowledge base and theme progress, research hotspots, evolutionary trends, and quality distribution. Using a combination of quantitative and qualitative methods, this study has reached the following conclusions:

Technology acceptance among older adults has become a hot topic in the international academic community, involving the integration of knowledge across multiple disciplines, including Medical Informatics, Health Care Sciences Services, and Ergonomics. In terms of journals, “PSYCHOLOGY, EDUCATION, HEALTH” represents a leading field, with key publications including Computers in Human Behavior , Journal of Medical Internet Research , and International Journal of Human-Computer Interaction . These journals possess significant academic authority and extensive influence in the field.

Research on technology acceptance among older adults is particularly active in developed countries, with China and USA publishing significantly more than other nations. The Netherlands leads in high average citation rates, indicating the depth and impact of its research. Meanwhile, the UK stands out in terms of international collaboration. At the institutional level, City University of Hong Kong and The University of Hong Kong in China are in leading positions. Tilburg University in the Netherlands demonstrates exceptional research quality through its high average citation count. At the author level, Chen from China has the highest number of publications, while Peek from the Netherlands has the highest average citation count.

Co-citation analysis of references indicates that the knowledge base in this field is divided into three main categories: theoretical model deepening, emerging technology applications, and research methods and evaluation. Seminal literature focuses on four areas: specific technology use by older adults, expansion of theoretical models of technology acceptance, information technology adoption behavior, and research perspectives. Research themes have evolved from initial theoretical deepening and analysis of influencing factors to empirical studies on individual factors and emerging technologies.

Keyword analysis indicates that TAM and UTAUT are the most frequently occurring terms, while “assistive technology” and “virtual reality” are focal points with high frequency and centrality. Keyword clustering analysis reveals that research hotspots are concentrated on the influencing factors of technology adoption, human-robot interaction experiences, mobile health management, and technology for aging in place. Time-zone evolution mapping and burst keyword analysis have revealed the research evolution from preliminary exploration of influencing factors, to enhancements in quality of life and health management, and onto advanced technology applications and deepening of theoretical models. Furthermore, analysis of research quality distribution indicates that Usage Experience and Assisted Living Technology have become core topics, while Smart Devices, Theoretical Models, and Mobile Health Applications point towards future research directions.

Through this study, we have systematically reviewed the dynamics, core issues, and evolutionary trends in the field of older adults’ technology acceptance, constructing a comprehensive Knowledge Mapping of the domain and presenting a clear framework of existing research. This not only lays the foundation for subsequent theoretical discussions and innovative applications in the field but also provides an important reference for relevant scholars.

Limitations

To our knowledge, this is the first bibliometric analysis concerning technology acceptance among older adults, and we adhered strictly to bibliometric standards throughout our research. However, this study relies on the Web of Science Core Collection, and while its authority and breadth are widely recognized, this choice may have missed relevant literature published in other significant databases such as PubMed, Scopus, and Google Scholar, potentially overlooking some critical academic contributions. Moreover, given that our analysis was confined to literature in English, it may not reflect studies published in other languages, somewhat limiting the global representativeness of our data sample.

It is noteworthy that with the rapid development of AI technology, its increasingly widespread application in elderly care services is significantly transforming traditional care models. AI is profoundly altering the lifestyles of the elderly, from health monitoring and smart diagnostics to intelligent home systems and personalized care, significantly enhancing their quality of life and health care standards. The potential for AI technology within the elderly population is immense, and research in this area is rapidly expanding. However, due to the restrictive nature of the search terms used in this study, it did not fully cover research in this critical area, particularly in addressing key issues such as trust, privacy, and ethics.

Consequently, future research should not only expand data sources, incorporating multilingual and multidatabase literature, but also particularly focus on exploring older adults’ acceptance of AI technology and its applications, in order to construct a more comprehensive academic landscape of older adults’ technology acceptance, thereby enriching and extending the knowledge system and academic trends in this field.

Data availability

The datasets analyzed during the current study are available in the Dataverse repository: https://doi.org/10.7910/DVN/6K0GJH .

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This research was supported by the Social Science Foundation of Shaanxi Province in China (Grant No. 2023J014).

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Conceptualization, XS, YW, CW; methodology, XS, ZL, CG, CW; software, XS, CG, YW; writing-original draft preparation, XS, CW; writing-review and editing, XS, CG, ZH, CW; supervision, ZL, ZH, CW; project administration, ZL, ZH, CW; funding acquisition, XS, CG. All authors read and approved the final manuscript. All authors have read and approved the re-submission of the manuscript.

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Shang, X., Liu, Z., Gong, C. et al. Knowledge mapping and evolution of research on older adults’ technology acceptance: a bibliometric study from 2013 to 2023. Humanit Soc Sci Commun 11 , 1115 (2024). https://doi.org/10.1057/s41599-024-03658-2

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Factors Affecting the Consumers’ Energy-Conserving Behaviours on Solar-Plus-Storage (SPS) Systems’ Adoption for Sustainable Electricity Consumption: A Case in Malaysia

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Published: 31 August 2024
Volume 17 , article number 73 , ( 2024 )

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Wan Hasbul Hadi Wan Abdul Halim 1 ,
Suhaiza Zailani ORCID: orcid.org/0000-0002-8484-1821 2 ,
Mohd Rizaimy Shaharudin 3 &
Muhammad Khalilur Rahman 4

This study identifies and explores the key factors influencing the Malaysian public’s energy-conserving behaviors from adopting Solar-Plus-Storage (SPS) technology and their roles as mediators towards sustainable electricity consumption. A cross-sectional survey was used to collect quantitative data to statistically test the hypotheses in this explanatory research. Partial Least Squares Structural Equation Modelling with SPSS and SmartPLS software was used to examine data from 188 responses received. The results of the direct effects indicate the significant influence of the behavioral, technical, and environmental factors on consumers’ energy-conserving behaviors, consumers’ energy-conserving behaviors on sustainable electricity consumption, and the behavioral, technical, and environmental factors on sustainable electricity consumption. Meanwhile, the results of the mediation effects reveal that consumers’ energy-conserving behaviors mediated the influence of behavioral, financial, and environmental factors on sustainable electricity consumption. The findings can pave the way for policymakers to recognize the affordable prices of batteries and solar panels can accelerate the market uptake of the Solar-Plus-Storage system. Future studies should consider the impact of consumer environmental awareness from technology usage and explore more variables that affect consumers’ energy-conserving behaviours.

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Acknowledgements

The authors acknowledge the technical and financial assistance of the UM International Collaboration Grant, SATU Joint Research Scheme Program (Project No ST047-2022).

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Faculty of Business and Economics, University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia

Wan Hasbul Hadi Wan Abdul Halim

Faculty of Business and Economics, Ungku Aziz Centre University of Malaya, 50603 Lembah Pantai, Kuala Lumpur, Malaysia

Suhaiza Zailani

Universiti Teknologi Mara (UiTM), Kedah Branch, 08400, Merbok, Kedah, Malaysia

Mohd Rizaimy Shaharudin

Faculty of Entrepreneurship and Business, Universiti Malaysia Kelantan, Kota Bharu, Malaysia

Muhammad Khalilur Rahman

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Highlights of the study:

• The study investigates factors influencing Malaysian consumers' energy-conserving behaviors in adopting Solar-Plus-Storage (SPS) technology for sustainable electricity consumption.

• 188 responses were collected, providing insights into the factors and their direct effects on consumers' energy-conserving behaviors.

• The results indicate that behavioural, technical, and environmental factors influence consumers' energy-conserving behaviours.

• Customers' energy-saving behaviours mediate the impact of behavioural, economical, and environmental factors on long-term power use.

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Halim, W.H.H.W.A., Zailani, S., Shaharudin, M.R. et al. Factors Affecting the Consumers’ Energy-Conserving Behaviours on Solar-Plus-Storage (SPS) Systems’ Adoption for Sustainable Electricity Consumption: A Case in Malaysia. Energy Efficiency 17 , 73 (2024). https://doi.org/10.1007/s12053-024-10251-8

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DOI : https://doi.org/10.1007/s12053-024-10251-8

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