Analysis of the use of the UTAUT model for modeling the information technology acceptance process
Abstract
The article is devoted to the issues of UTAUT models, which are currently the most commonly used tools of IT acceptance assessment. The aim of the article was to characterize the structure and stages of evolution of the above-mentioned models, to analyze the practical use of these models and to perform a bibliometric analysis of publications on UTAUT. The method of literature analysis and the SciVal Scopus and Google Trends tools were used to analyze UTAUT content search trend statistics. The described models are useful for testing technology acceptance by users with different characteristics in different organizations. The flexibility of the models in terms of extending and modifying them for the needs of various areas of IT technology implementation was demonstrated.
Keywords:
information technologies acceptance models, UTAUTReferences
V. Venkatesh, M.G. Morris, G.B. Davis, F.D. Davis, User acceptance of information technology: Toward a unified view, MIS quarterly (2003) 425-478.
Google Scholar
F.D. Davis, A technology acceptance model for empirically testing new end-user information systems: Theory and results, PhD Thesis, Massachusetts Institute of Technology, 1985.
Google Scholar
V. Venkatesh, F.D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management science 46(2) (2000) 186-204.
Google Scholar
V. Venkatesh, H. Bala, Technology acceptance model 3 and a research agenda on interventions, Decision sciences 39(2) (2008) 273-315.
DOI: https://doi.org/10.1111/j.1540-5915.2008.00192.x
Google Scholar
M. Fishbein, I. Ajzen, Understanding attitudes and predicting social behaviour, 1980.
Google Scholar
I. Ajzen, From intentions to actions: A theory of planned behavior. In: Action control, Springer, Berlin, Heidelberg 1985, p. 11-39.
DOI: https://doi.org/10.1007/978-3-642-69746-3_2
Google Scholar
F.D. Davis, A technology acceptance model for empirically testing new end-user information systems: Theory and results, PhD Thesis, Massachusetts Institute of Technology, 1985.
Google Scholar
R.L. Thompson, C.A. Higgins, J.M. Howell, Personal computing: toward a conceptual model of utilization, MIS quarterly (1991) 125-143.
Google Scholar
F.D. Davis, R.P. Bagozzi, P.R. Warshaw, Extrinsic and intrinsic motivation to use computers in the workplace, Journal of applied social psychology 22(14) (1992) 1111-1132.
DOI: https://doi.org/10.1111/j.1559-1816.1992.tb00945.x
Google Scholar
A. Bandura, Social cognitive theory of personality, Handbook of personality 2 (1999) 154-196.
Google Scholar
V. Venkatesh, F.D. Davis, A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management science 46(2) (2000) 186-204.
Google Scholar
E.M. Rogers, Diffusion of innovations, Free Press, New York 2003, p. 551.
Google Scholar
M. Alshehri, S. Drew, T. Alhussain, R. Alghamdi, op. cit.
Google Scholar
V. Venkatesh, J.Y.L. Thong, X. Xu, Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology, MIS quarterly 36(1) (2012) 157-178.
Google Scholar
T. Escobar-Rodríguez, E. Carvajal-Trujillo, Online purchasing tickets for low cost carriers: An application of the unified theory of acceptance and use of technology (UTAUT) model, Tourism Management 43 (2014) 70-88.
Google Scholar
V. Venkatesh, J.Y.L. Thong, X. Xu, op.cit.
Google Scholar
N. Phichitchaisopa, T. Naenna, Factors affecting the adoption of healthcare information technology. EXCLI journal 12 (2013) 413.
Google Scholar
H. Wang, D. Tao, N. Yu, X. Qu, Understanding consumer acceptance of healthcare wearable devices: An integrated model of UTAUT and TTF. International Journal of Medical Informatics (2020) 104156.
DOI: https://doi.org/10.1016/j.ijmedinf.2020.104156
Google Scholar
C. M. Chao, Factors determining the behavioral intention to use mobile learning: An application and extension of the UTAUT model, Frontiers in psychology 10 (2019) 1652.
Google Scholar
S. Bardakcı, Exploring High School Students' Educational Use of YouTube. International Review of Research in Open and Distributed Learning 20(2) (2019).
DOI: https://doi.org/10.19173/irrodl.v20i2.4074
Google Scholar
T. Escobar-Rodríguez, E. Carvajal-Trujillo, op.cit.
Google Scholar
K.T. Wong, T. Teo, S. Russo, Interactive whiteboard acceptance: Applicability of the UTAUT model to student teachers, The Asia-Pacific Education Researcher 22(1) (2013) 1-10.
Google Scholar
G. Wolbring, L. Diep, S. Yumakulov, N. Ball, D. Yergens, Social robots, brain machine interfaces and neuro/cognitive enhancers: Three emerging science and technology products through the lens of technology acceptance theories, models and frameworks, Technologies 1(1) (2013) 3-25.
Google Scholar
L. Liu, A. Miguel Cruz, A. Rios Rincon, V. Buttar, Q. Ranson, D. Goertzen, What factors determine therapists’ acceptance of new technologies for rehabilitation–a study using the Unified Theory of Acceptance and Use of Technology (UTAUT), Disability and rehabilitation 37(5) (2015) 447-455.
DOI: https://doi.org/10.3109/09638288.2014.923529
Google Scholar
J. Tavares, T. Oliveira, Electronic health record patient portal adoption by health care consumers: an acceptance model and survey, Journal of medical Internet research 18(3) (2016) e49.
DOI: https://doi.org/10.2196/jmir.5069
Google Scholar
A. Kohnke, M.L. Cole, R. Bush, Incorporating UTAUT predictors for understanding home care patients' and clinician's acceptance of healthcare telemedicine equipment, Journal of technology management & innovation 9(2) (2014) 29-41.
DOI: https://doi.org/10.4067/S0718-27242014000200003
Google Scholar
F. Khatun, M.J.U. Palas, P.K. Ray, Using the Unified Theory of Acceptance and Use of Technology model to analyze cloud-based mHealth service for primary care, Digital Medicine 3(2) (2017) 69.
DOI: https://doi.org/10.4103/digm.digm_21_17
Google Scholar
P.A. Nuq, B. Aubert, Towards a better understanding of the intention to use eHealth services by medical professionals: the case of developing countries, International Journal of Healthcare Management 6(4) (2013) 217-236.
Google Scholar
E. Purwanto, J. Loisa, The intention and use behaviour of the mobile banking system in Indonesia: UTAUT Model. Technology Reports of Kansai University 62(06) (2020) 2757-2767.
Google Scholar
J.P. Cabrera-Sánchez, Á.F. Villarejo-Ramos, Acceptance and use of big data techniques in services companies. Journal of Retailing and Consumer Services 52 (2020) 101888.
DOI: https://doi.org/10.1016/j.jretconser.2019.101888
Google Scholar
Statistics
Abstract views: 442PDF downloads: 428
License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.