Skip to main content

A Bibliometric Analysis of Articles Citing the Unified Theory of Acceptance and Use of Technology

  • Chapter
  • First Online:
Information Systems Theory

Part of the book series: Integrated Series in Information Systems ((ISIS,volume 28))

Abstract

Despite the relatively recent emergence of the Unified Theory of Acceptance and Use of Technology (UTAUT), the originating article has already been cited by a large number of studies, and hence it appears to have become a popular theoretical choice within the field of information system (IS)/information technology (IT) adoption and diffusion. However, as yet there have been no attempts to analyse the reasons for citing the originating article. Such a systematic review of citations may inform researchers and guide appropriate future use of the theory. This chapter therefore presents the results of a bibliometric analysis and systematic review of 450 citations of the originating article in an attempt to better understand the reasons for citation, and use and adaptations of the theory. Findings revealed that although a large number of studies have cited the originating article since its appearance, only 43 actually utilized the theory or its constructs in their empirical research for examining IS/IT-related issues. This chapter also classifies and discusses these citations and explores the limitations of UTAUT use in existing research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Abbreviations

IT:

Information technology

IS:

Information systems

UTAUT:

Unified theory of acceptance and use of technology

TAM:

Technology acceptance model

TPB:

Theory of planned behaviour

TRA:

Theory of reasoned action

MPCU:

Model of PC utilization

IDT:

Innovation diffusion theory

SCT:

Social cognitive theory

References

  • Abu-Shanab, E., & Pearson, M. (2009). Internet banking in Jordan: An Arabic instrument validation process. International Arab Journal of Information Technology, 6(3), 235–244.

    Google Scholar 

  • Adriaanse, A., Voordijk, H., & Dewulf, G. (2010). The use of inter organizational ICT in United States construction projects. Automation in Construction, 19(1), 73–83.

    Article  Google Scholar 

  • Aggelidis, V. P., & Chatzoglou, P. D. (2009). Using a modified technology acceptance model in hospitals. International Journal of Medical Informatics, 78(2), 115–126.

    Article  Google Scholar 

  • Ahmad, T. B. T., Madarsha, K. B., Zainuddin, A. M., Ismail, N. A. H., & Nordin, M. S. (2010). Faculty’s acceptance of computer based technology: Cross-validation of an extended model. Australasian Journal of Educational Technology, 26(2), 268–279.

    Google Scholar 

  • Akesson, M., & Eriksson, C. I. (2007). The vision of ubiquitous media services: How close are we? In M. J. Smith & G. Salvendy (Eds.), Human interface and the management of information: Interacting in information environments, Pt 2, Proceedings (Vol. 4558, pp. 222–232). Berlin: Springer.

    Chapter  Google Scholar 

  • Alapetite, A., Andersen, H. B., & Hertzum, M. (2009). Acceptance of speech recognition by physicians: A survey of expectations, experiences, and social influence. International Journal of Human Computer Studies, 67(1), 36–49.

    Article  Google Scholar 

  • Al-Gahtani, S. S., Hubona, G. S., & Wang, J. (2007). Information technology (IT) in Saudi Arabia: Culture and the acceptance and use of IT. Information Management, 44(8), 681–691.

    Article  Google Scholar 

  • Al-Natour, S., & Benbasat, I. (2009). The adoption and use of IT artefacts: A new interaction-centric model for the study of user-artefact relationships. Journal of the Association for Information Systems, 10(9), 661–685.

    Google Scholar 

  • Al-Senaidi, S., Lin, L., & Poirot, J. (2009). Barriers to adopting technology for teaching and learning in Oman. Computers & Education, 53(3), 575–590.

    Article  Google Scholar 

  • Andreatta, P. B., Hillard, M., & Krain, L. P. (2010). The impact of stress factors in simulation-based laparoscopic training. Surgery, 147(5), 631–639.

    Article  Google Scholar 

  • Angst, C. M., & Agarwal, R. (2009). Adoption of electronic health records in the presence of privacy concerns: The elaboration likelihood model and individual persuasion. MIS Quarterly, 33(2), 339–370.

    Google Scholar 

  • Arbaugh, J. B., Godfrey, M. R., Johnson, M., Pollack, B. L., Niendorf, B., & Wresch, W. (2009). Research in online and blended learning in the business disciplines: Key findings and possible future directions. Internet and Higher Education, 12(2), 71–87.

    Article  Google Scholar 

  • Baron, S., Patterson, A., & Harris, K. (2006). Beyond technology acceptance: Understanding consumer practice. International Journal of Service Industry Management, 17(2), 111–135.

    Article  Google Scholar 

  • Baumgartner, I., & Green, P. (2008). Adoption of service oriented computing from the IT professionals’ perspective: An e-Government case study. In D. Avison, G. M. Kasper, B. Pernici, I. Ramos, & D. Roode (Eds.), Advances in Information Systems Research, education and practice (Vol. 274, pp. 189–201). New York: Springer.

    Chapter  Google Scholar 

  • Benbasat, I., & Barki, H. (2007). Quo Vadis, TAM. Journal of the Association for Information Systems, 8(4), 211–218 (Article 3).

    Google Scholar 

  • Brandtzaeg, P. B., & Heim, J. (2009). Why people use social networking sites. In A. A. Ozok & P. Zaphiris (Eds.), Online communities and social computing, proceedings (Vol. 5621, pp. 143–152). Berlin: Springer.

    Chapter  Google Scholar 

  • Brown, S. A., & Venkatesh, V. (2005). Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS Quarterly, 29(3), 399–426.

    Google Scholar 

  • Carter, L., & Bélanger, F. (2005). The utilization of e-government services: Citizen trust, innovation and acceptance factors. Information Systems Journal, 15(1), 2–25.

    Article  Google Scholar 

  • Carter, L., & Weerakkody, V. (2008). E-government adoption: A cultural comparison. Information Systems Frontiers, 10(4), 473–482.

    Article  Google Scholar 

  • Chang, H. H. (2008). Intelligent agent’s technology characteristics applied to online auctions’ task: A combined model of TTF and TAM. Technovation, 28(9), 564–577.

    Article  Google Scholar 

  • Chang, I. C., Hwang, H. G., Hung, W. F., & Li, Y. C. (2007). Physicians’ acceptance of pharmacokinetics-based clinical decision support systems. Expert Systems with Applications, 33(2), 296–303.

    Article  Google Scholar 

  • Chiu, C. M., Huang, H. Y., & Yen, C. H. (2010). Antecedents of trust in online auctions. Electronic Commerce Research and Applications, 9(2), 148–159.

    Article  Google Scholar 

  • Chiu, C. M., & Wang, E. T. G. (2008). Understanding Web-based learning continuance intention: The role of subjective task value. Information Management, 45(3), 194–201.

    Article  Google Scholar 

  • Curtis, L., Edwards, C., Fraser, K. L., Gudelsky, S., Holmquist, J., & Thornton, K. (2010). Adoption of social media for public relations by non-profit organizations. Public Relations Review, 36(1), 90–92.

    Article  Google Scholar 

  • Dadayan, L., & Ferro, E. (2005). When technology meets the mind: A comparative study of the technology acceptance model. In M. A. Wimmer, R. Traunmuller, A. Gronlund, & K. V. Andersen (Eds.), Electronic government, proceedings (Vol. 3591, pp. 137–144). Springer-Verlag Berlin Heidelberg.

    Google Scholar 

  • Debuse, J. C. W., Lawley, M., & Shibl, R. (2008). Educators’ perceptions of automated feedback systems. Australasian Journal of Educational Technology, 24(4), 374–386.

    Google Scholar 

  • Dinev, T., Hart, P., & Mullen, M. R. (2008). Internet privacy concerns and beliefs about government surveillance – An empirical investigation. The Journal of Strategic Information Systems, 17(3), 214–233.

    Article  Google Scholar 

  • Duyck, P., Pynoo, B., Devolder, P., Voet, T., Adang, L., & Ovaere, D. (2010). Monitoring the PACS implementation process in a large University Hospital – discrepancies between radiologists and physicians. Journal of Digital Imaging, 23(1), 73–80.

    Article  Google Scholar 

  • Dwivedi, Y. K., Lal, B., Mustafee, N., & Williams, M. D. (2009). Profiling a decade of Information Systems Frontiers’ research. Information Systems Frontiers, 7(4–5), 337–358.

    Google Scholar 

  • Dwivedi, Y. K., Williams, M. D., & Lal, B. (2008). The diffusion of research on the adoption and diffusion of information technology. In L. Gonzalo, A. Bernardos, J. Casar, K. Kautz, & J. DeGross (Eds.), Proceedings of the IFIP8.6 Conference. Boston: Springer.

    Google Scholar 

  • Green, G. C., Hevner, A. R., & Collins, R. W. (2005). The impacts of quality and productivity perceptions on the use of software process improvement innovations. Information and Software Technology, 47(8), 543–553.

    Article  Google Scholar 

  • Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605–11616.

    Article  Google Scholar 

  • Gumussoy, C. A., & Calisir, F. (2009). Understanding factors affecting e-reverse auction use: An integrative approach. Computers in Human Behavior, 25(4), 975–988.

    Article  Google Scholar 

  • Gupta, B., Dasgupta, S., & Gupta, A. (2008). Adoption of ICT in a government organization in a developing country: An empirical study. The Journal of Strategic Information Systems, 17(2), 140–154.

    Article  Google Scholar 

  • Hardeman, W., Johnston, M., Johnston, D., Bonetti, D., Wareham, N., & Kinmonth, A. L. (2002). Application of the theory of planned behaviour in behaviour change interventions: A systematic review. Psychology & Health, 17(2), 123–158.

    Article  Google Scholar 

  • He, D. H., Lu, Y. B., & Alfred, U. (2007). An integrated framework for mobile business acceptance. Alfred: Alfred University.

    Google Scholar 

  • Hung, Y. H., Wang, Y. S., & Chou, S. C. T. (2007). User acceptance of E-Government services. Kaohsiung: Natl Sun Yat-Sen University.

    Google Scholar 

  • Huser, V., Narus, S. P., & Rocha, R. A. (2010). Evaluation of a flowchart-based EHR query system: A case study of RetroGuide. Journal of Biomedical Informatics, 43(1), 41–50.

    Article  Google Scholar 

  • Jasperson, J., Carter, P. E., & Zmud, R. W. (2005). A comprehensive conceptualization of post-adoptive behavior associated with information technology enabled work systems. MIS Quarterly, 29(3), 525–557.

    Google Scholar 

  • Jong, D., & Wang, T. S. (2009). Student acceptance of Web-based learning system. Oulu: Acad Publ.

    Google Scholar 

  • Ke, W. L., Xue, Y. J., Liang, H. G., & Wei, K. K. (2006). Understanding team influence on professionals’ acceptance of large-scale systems. Kaohsiung: Natl Sun Yat-Sen University.

    Google Scholar 

  • Kijsanayotin, B., Pannarunothai, S., & Speedie, S. M. (2009). Factors influencing health information technology adoption in Thailand’s community health centers: Applying the UTAUT model. International Journal of Medical Informatics, 78(6), 404–416.

    Article  Google Scholar 

  • Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310–322.

    Article  Google Scholar 

  • Kim, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741–755.

    Google Scholar 

  • King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information Management, 43, 740–755.

    Article  Google Scholar 

  • Koivumaki, T., Ristola, A., & Kesti, M. (2008). The perceptions towards mobile services: An empirical analysis of the role of use facilitators. Personal and Ubiquitous Computing, 12(1), 67–75.

    Article  Google Scholar 

  • Komiak, S. Y. X., & Benbasat, I. (2006). The effects of personalization and familiarity on trust and adoption of recommendation agents. MIS Quarterly, 30(4), 941–960.

    Google Scholar 

  • Kwon, O., & Wen, Y. (2010). An empirical study of the factors affecting social network service use. Computers in Human Behavior, 26(2), 254–263.

    Article  Google Scholar 

  • Lai, J. Y., & Chen, W. H. (2009). Measuring e-business dependability: The employee perspective. The Journal of Systems and Software, 82(6), 1046–1055.

    Article  Google Scholar 

  • Lai, C. S. K., & Pires, G. (2009). Testing of a model evaluating e-Government portal acceptance and satisfaction. Nr Reading: Academic Conferences Ltd.

    Google Scholar 

  • Laumer, S., Eckhardt, A., & Trunk, N. (2010). Do as your parents say? Analyzing IT adoption influencing factors for full and under age applicants. Information Systems Frontiers, 12(2), 169–183.

    Article  Google Scholar 

  • Lean, O. K., Zailani, S., Ramayah, T., & Fernando, Y. (2009). Factors influencing intention to use e-government services among citizens in Malaysia. International Journal of Information Management, 29(6), 458–475.

    Article  Google Scholar 

  • Lee, W. Y., Goodwin, P., Fildes, R., Nikolopoulos, K., & Lawrence, M. (2007). Providing support for the use of analogies in demand forecasting tasks. International Journal of Forecasting, 23(3), 377–390.

    Article  Google Scholar 

  • Lee, Y., Kozar, K. A., & Larsen, K. R. T. (2003). The technology acceptance model: Past, present, and future. Communications of the Association for Information System, 12(50), 752–780.

    Google Scholar 

  • Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information Management, 40(3), 191–204.

    Article  Google Scholar 

  • Li, W. (2010). Virtual knowledge sharing in a cross-cultural context. Journal of Knowledge Management, 14(1), 38–50.

    Article  Google Scholar 

  • Lin, C. P., & Anol, B. (2008). Learning online social support: An investigation of network information technology based on UTAUT. Cyber psychology & Behavior, 11(3), 268–272.

    Google Scholar 

  • Liu, D. S., & Chen, W. (2009). An empirical research on the determinants of user M-commerce acceptance. In R. Lee & N. Ishii (Eds.), Software engineering, artificial intelligence, networking and parallel/distributed computing (Vol. 209, pp. 93–104). Springer-Verlag Berlin Heidelberg.

    Google Scholar 

  • Loo, W. H., Yeow, P. H. P., & Chong, S. C. (2009). User acceptance of Malaysian government multipurpose smartcard applications. Government Information Quarterly, 26(2), 358–367.

    Article  Google Scholar 

  • Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. Journal of Strategic Information Systems, 14(3), 245–268.

    Google Scholar 

  • Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222–234.

    Article  Google Scholar 

  • Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865–1883.

    Google Scholar 

  • Nov, O., & Ye, C. (2009). Resistance to change and the adoption of digital libraries: An integrative model. Journal of the American Society for Information Science and Technology, 60(8), 1702–1708.

    Article  Google Scholar 

  • Pappas, F. C., & Volk, F. (2007). Audience counts and reporting system: Establishing a cyber-infrastructure for museum educators. Journal of Computer-Mediated Communication, 12(2), 17.

    Article  Google Scholar 

  • Petter, S., Straub, D., & Rai, A. (2007). Specifying formative constructs in information systems research. Mis Quarterly, 31(4), 623–656.

    Google Scholar 

  • Richard, J. E., Thirkell, P. C., & Huff, S. L. (2007). An examination of customer relationship management (CRM) technology adoption and its impact on business-to-business customer relationships. Total Quality Management & Business Excellence, 18(8), 927–945.

    Article  Google Scholar 

  • Sapio, B., Turk, T., Cornacchia, M., Papa, F., Nicolo, E., & Livi, S. (2010). Building scenarios of digital television adoption: A pilot study. Technology Analysis & Strategic Management, 22(1), 43–63.

    Article  Google Scholar 

  • Schaupp, L. C., Carter, L., & McBride, M. E. (2010). E-file adoption: A study of US taxpayers’ intentions. Computers in Human Behavior, 26(4), 636–644.

    Article  Google Scholar 

  • Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343–1354.

    Article  Google Scholar 

  • Sun, H. S., & Zhang, P. (2006). The role of moderating factors in user technology acceptance. International Journal of Human-Computer Studies, 64(2), 53–78.

    Google Scholar 

  • Tsai, Y. H., Lin, C. P., Chiu, C. K., & Joe, S. W. (2009). Understanding learning behavior using location and prior performance as moderators. Social Science Journal, 46(4), 787–799.

    Article  Google Scholar 

  • van Biljon, J., & Kotze, P. (2008). Cultural factors in a mobile phone adoption and usage model. Journal of Universal Computer Science, 14(16), 2650–2679.

    Google Scholar 

  • van Biljon, J., & Renaud, K. (2008). A qualitative study of the applicability of technology acceptance models to senior mobile phone users. In I. Y. Song (Ed.), Advances in conceptual modeling – Challenges and opportunities (Vol. 5232, pp. 228–237). Berlin: Springer.

    Chapter  Google Scholar 

  • van Dijk, J., Peters, O., & Ebbers, W. (2008). Explaining the acceptance and use of government Internet services: A multivariate analysis of 2006 survey data in the Netherlands. Government Information Quarterly, 25(3), 379–399.

    Article  Google Scholar 

  • van Setten, M., Veenstra, M., Nijholt, A., & van Dijk, B. (2006). Goal-based structuring in recommender systems. Interacting with Computers, 18(3), 432–456.

    Article  Google Scholar 

  • Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478.

    Google Scholar 

  • Wang, Y. S., & Shih, Y. W. (2009). Why do people use information kiosks? A validation of the unified theory of acceptance and use of technology. Government Information Quarterly, 26(1), 158–165.

    Article  Google Scholar 

  • Williams, M. D., Dwivedi, Y. K., Lal, B., & Schwarz, A. (2009). Contemporary trends and issues in IT adoption and diffusion research. Journal of Information Technology, 24(1), 1–10.

    Article  Google Scholar 

  • Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information Systems Research, 16(1), 85–102.

    Article  Google Scholar 

  • Yang, D., Wang, Q., Li, M. S., Yang, Y., Ye, K., & Du, J. (2008). A survey on software cost estimation in the Chinese software industry. New York: Assoc Computing Machinery.

    Google Scholar 

  • Ye, C., Seo, D., Desouza, K. C., Sangareddy, S. P., & Jha, S. (2008). Influences of IT substitutes and user experience on post-adoption user switching: An empirical investigation. Journal of the American Society for Information Science and Technology, 59(13), 2115–2132.

    Article  Google Scholar 

  • YenYuen, Y., & Yeow, P. H. P. (2009). User acceptance of internet banking service in Malaysia. In J. Cordeiro, S. Hammoudi, & J. Filipe (Eds.), Web information systems and technologies (Vol. 18, pp. 295–306). Berlin: Springer.

    Chapter  Google Scholar 

  • Yeow, P. H. P., Yuen, Y. Y., Tong, D. Y. K., & Lim, N. (2008). User acceptance of online banking service in Australia. Norristown: Int. Business Information Management Assoc-Ibima.

    Google Scholar 

  • Zhou, T., Lu, Y. B., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760–767.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michael D. Williams .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer Science+Business Media, LLC

About this chapter

Cite this chapter

Williams, M.D., Rana, N.P., Dwivedi, Y.K. (2012). A Bibliometric Analysis of Articles Citing the Unified Theory of Acceptance and Use of Technology. In: Dwivedi, Y., Wade, M., Schneberger, S. (eds) Information Systems Theory. Integrated Series in Information Systems, vol 28. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6108-2_3

Download citation

Publish with us

Policies and ethics