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2019 | 53 | nr 4 | 101--113
Tytuł artykułu

A Literature Review of the Partial Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) Model

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Theoretical background: Today, people use more systems and devices than ever, no matter the context. These behaviors are most often explained using technology acceptance models, including the unified theory of acceptance and use of technology 2 (UTAUT2), which is a new and prominent technology acceptance theory. Purpose of the article: The aim of this article is to identify any interpretable trends and draw overall conclusions about the existing UTAUT2 literature, which helps to fill the gap which is lack of such review for UTAUT2 model. Research methods: Descriptive review analysis of 23 articles based on the partial UTAUT2 model. Main findings: The UTAUT2 is an efficient theory - the average explained variance of behavioral intention was 62% and for use behavior - 37%. It is highly recommended to use the performance expectancy variable in all research contexts based on the UTAUT2 model. Utilitarian aspects turned out to be more important than hedonic ones for most technology adopters. Commercial organisations should focus on delivering reliable and useful products and underline these features in marketing communication.(original abstract)
Rocznik
Tom
53
Numer
Strony
101--113
Opis fizyczny
Twórcy
  • University of Warsaw
  • University of Warsaw, Poland
  • University of Warsaw, Poland
Bibliografia
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  • Bandura, A. (1986). Social Foundations of Thought and Action: A Social Cognitive Theory. Englewood Cliffs: Prentice-Hall Inc.
  • Compeau, D.R., & Higgins, C.A. (1995). Computer self-efficacy: Development of a measure and initial test. MIS Quarterly, 19(2). doi:10.2307/249688
  • Davis, F. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Results. Cambridge: MIT Sloan School of Management (Unpublished Doctoral dissertation).
  • Davis, F.D., Bagozzi, R.P., & Warshaw, P.R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14). doi:10.1111/j.1559-1816.1992.tb00945.x
  • Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading: Addison-Wesley.
  • Karasiewicz, G., Kułak, J., Nowak, J., & Trojanowski, M. (2018). Mobile phone usage in buying process: Extending the UTAUT2 model with trust and perceived risk. Journal of Euromarketing, 27(1-2).
  • Lian, J.-W. (2015). Critical factors for cloud-based e-invoice service adoption in Taiwan: An empirical study. International Journal of Information Management, 35(1). doi:10.1016/j.ijinfomgt.2014.10.005
  • Massaro, M., Dumay, J., & Guthrie, J. (2016). On the shoulders of giants: Undertaking a structured literature review in accounting. Accounting, Auditing & Accountability Journal, 29(5). doi:10.1108/AAAJ-01-2015-1939
  • Momani, A.M., & Jamous, M.M. (2017). The evolution of technology acceptance theories. International Journal of Contemporary Computer Research, 1(1). doi:10.4018/IJCBPL.2017040101
  • Moore, G.C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3). doi:10.1287/isre.2.3.192
  • Morosan, C., & DeFranco, A. (2016). It's about time: Revisiting UTAUT2 to examine consumers' intentions to use NFC mobile payments in hotels. International Journal of Hospitality Management, 53. doi:10.1016/j.ijhm.2015.11.003
  • Oliveira, T., Thomas, M.B., & Campos, F. (2016). Mobile payment: Understanding the determinants of customer adoption and intention to recommend the technology. Computers in Human Behavior, 61. doi:10.1016/j.chb.2016.03.030
  • Pare, G., & Kytsiou, S. (2017). Methods for literature reviews. In: F. Lau, & C. Kuziemsky (Eds.), Handbook of eHealth Evaluation: An Evidence-based Approach. Victoria: University of Victoria.
  • Pasqual-Miguel, F.J., Aguado-Peregrina, A.F., & Chaparro-Pelaez, J. (2015). Influences of gender and product type on online purchasing. Journal of Business Research, 68(7). doi:10.1016/j.jbusres.2015.01.050
  • Raman, A., & Don, Y. (2013). Preservice teachers' acceptance of learning management software: An application of the UTAUT2 model. International Education Studies, 6(7). doi:10.5539/ies.v6n7p157
  • Rogers, E.M. (1983). Diffusion of Innovations. New York: Free Press.
  • Sylvester, A., Tate, M., & Johnstone, D. (2013). Beyond synthesis: Re-presenting heterogeneous research literature. Behaviour & Information Technology, 32(12). doi:10.1080/0144929X.2011.624633
  • Tavares, J., & Oliveira, T. (2017). Electronic health record portal adoption: A cross country analysis. BMC Medical Informatics and Decision Making, 97(17). doi:10.1186/s12911-017-0482-9
  • Taylor, S., & Todd, P. (1995). Assessing IT usage: The role of prior experience. MIS Quarterly, 19(4). doi:10.2307/249633
  • Thompson, R., Higgins, C., & Howell, J. (1991). Personal computing: Toward a conceptual model of utilization. MIS Quarterly, 15(1). doi:10.2307/249443
  • Trojanowski, M., & Kułak, J. (2017). The impact of moderators and trust on consumer's intention to use a mobile phone for purchases. Journal of Management and Business Administration. Central Europe, 25(2). doi:10.7206/jmba.ce.2450-7814.197
  • 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). doi:10.2307/30036540
  • Venkatesh, V., Thong, J.Y., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1). doi:10.2307/41410412
Typ dokumentu
Bibliografia
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