Application of the Unified Theory of Acceptance and Use of Technology in Predicting the Acceptance and Use of Medical Technologies Among Medical Students

Document Type : Original Article

Authors

1 Associate Professor, Department of Medicine, Ke.C. Islamic Azad University, Kerman, Iran

2 Associate Professor, Department of Teacher and Coach Training, Anar Branch, Islamic Azad University, Anar, Iran

Abstract

This study purposed to investigate the application of the unified theory of acceptance and use of technology in predicting of the acceptance and use of technology of medical technologies among medical students at the Islamic Azad University of Kerman. The research method was descriptive-correlational. The statistical population was all medical school students, 206 of whom were selected through two-stage cluster sampling by field and responded to the questions of the unified Theory of Acceptance and Use of Technology questionnaire used in the study by Hsu et al. (2021) and Chang et al. (2021). The data were analyzed using path analysis. The results showed that the direct effect of facilitating conditions and behavioral intention to use medical technologies on the actual usage of medical technologies is positive and significant. The direct effect of performance expectancy, effort expectancy, and social influence of using medical technologies on behavioral intention to use medical technologies is positive and significant, but the direct effect of facilitating conditions on behavioral intention to use medical technologies was not significant.  Mediation results showed that behavioral intention to use medical technologies has a positive and significant mediating role in the relationship between performance expectations and actual use and in the relationship between effort expectations and actual use of medical technologies, But, it does not play a significant mediating role in the relationship between social impact and actual use, and in the relationship between facilitating conditions and actual use of medical technologies. Therefore, it can be said that among medical students, performance expectations and effort expectations regarding the use of medical technologies are more important factors in the acceptance and use of medical technologies than social influence and facilitating conditions.

Keywords

References

Alblooshi, S  &  Abdul Hmaid, N. A. B. (2021). The Role of Unified Theory of Acceptance and Use of Technology in E-Learning Adoption in Higher Education Institutions in the UAE. IBIMA Business Review, 2021. 1-16 .
      DOI: 10.5171/2021.730690
Alabdullah, J. H. Van Lunen, B. L. Claiborne, D. M. Daniel, S. J. Yen, C.-J & Gustin, T. S. (2020). Application of the unified theory of acceptance and use of technology model to predict dental students’ behavioral intention to use teledentistry. Journal of Dental Education, 84(11), 1262-1269. https://doi.org/ 10.1002/jdd.12304
Attuquayefio, S. N & Addo, H. (2014). Using the UTAUT model to analyze students’ ICT adoption. international Journal of Education and Development using Information and Communication Technology (IJEDICT), 10(3), 75-86.
Ayaza, A & Yanartas, M. (2020). An analysis on the unified theory of acceptance and use of technology theory (UTAUT): Acceptance of electronic document management system (EDMS). Computers in Human Behavior Reports. 2, 3-7, https://doi.org/10.1016/j.chbr.2020.100032
 
Chang, Y-T. Chao, C-M. Yu, C-W & Lin, F-C. (2021). Extending the Utility of UTAUT2 for Hospital Patients’ Adoption of Medical Apps: Moderating Effects of eHealth Literacy. Mobile Information Systems. 2021. doi/10.1155/2021/8882317.
Disney-Polman, H. L. (2022). Faculty Experiences Using Synchronous Videoconference Faculty Experiences Using Synchronous Videoconference Technology to Assess Student Psychomotor Performance. Dissertation Submitted in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy Educational Technology. Walden University
Erasmus, E. Rothmann, S & Van Eeden, C. (2015). A structural model of technology acceptance. SA Journal of Industrial Psychology/SA Tydskrif vir Bedryfsielkunde, 41(1), 1-12. http:// dx.doi.org/10.4102/sajip. v41i1.1222
Hewavitharana, T. Nanayakkara, S. Perera, A. Perera, P. (2021). the Unified Theory of Acceptance and Use of Technology (UTAUT) Model for the Digital Transformation of the Construction Industry from the User  Perspective. Informatics, 8, 81. https:// doi.org/10.3390/informatics8040081
Hsu, C.-C. Sandford, B. Ling, C.-J.;Lin,C.-T. (2021). Canthe Unified Theory of Acceptance andUse of Technology (UTAUT) Help Explain Subjective Well-Beingin Senior Citizens due to Gateball Participation? Int. J.Environ.Res. PublicHealth, 18,9015. https:// doi.org/10.3390/ijerph18179015
Jerin, I. Jantan, A. H. Abdul Hamid, A.(2025). Intention to Adopt Next-Level Technology in Food and Beverage Manufacturing SMEs in Bangladesh: UTAUT Model and Business Continuity Theory. Journal of Information Technology Management, 17( 1), 33-57. doi: https://doi.org/10.22059/jitm.2025.99922
Li. W. Gui. J. Luo. X., Yang. J. Zhang. T & Tang, Q. (2023) Determinants of intention with remote health management service among urban older adults: A Unified Theory of Acceptance and Use of Technology perspective. Front. Public Health, 26, . https://doi.org/10.3389/fpubh.2023.1117518
Muller, R.O. (1996). Basic principals of structural equation modeling(an introducation to lisrel equation). SpringerVerlang. New York, Berlin
Neter, J. Kutner, M. H. Nachtsheim, C. J & Wasserman, W. (1996). Applied linear statistical models (Vol.4, p. 318). Chicago: Irwin.
Raman, A. Don, Y. Khalid, R & Rizuan, M. (2014). Usage of Learning Management System (Moodle) among Postgraduate Students: Utaut Model. Asian Social Science, 10(14), 186. DOI:10.5539/ass.v10n14p186
Schumacker, R. E & Lomax, R. G. (2012). A beginner's guide to structural equation modeling. Routledge
Stevens, J. P. (2012). Applied multivariate statistics for the social sciences. Routledge.
Suki, N. M & Suki, N. M. (2017). Determining Students’ Behavioural Intention to Use Animation and Storytelling Applying the Utaut Model: The Moderating Roles of Gender and Experience Level. The International Journal of Management Education, 15(3), 528-538. https://doi.org/10.1016/j.ijme.2017.10.002
Šumak, B & Šorgo, A. (2016). The Acceptance and Use of Interactive Whiteboards among Teachers: Differences in Utaut Determinants between Pre-and Post-Adopters. Computers in human behavior, 64, 602 620. https://doi.org/10.1016/j.chb.2016.07.037
Phichitchaisopa, N & Naenna, T. (2013). Factors affecting the adoption of healthcare information technology. EXCLI Journal, 13(12): 413-436. doi: 10.19082/2713
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.
West, S. G. Finch, J. F & Curran, P. J. (1995). Structural equation models with non-normal variables: Problems and remedies, In R. H. Hoyle (Ed.), Structural equation modeling: Concepts, issues and ... 56-75), Sage, Thousand Oaks, 1995.
Weston, R & Gore Jr, P. (2006). A Brief Guide to Structural equation Modeling, The Counseling Psychologist, 34(5), 719-751
Widuri, R. Kholil, M. Nurbani, R. G. K & Hendri. (2020). The Use of Unified Theory of Acceptance and Use of Technology in the Adoption of M-Payment. Proceedings of the International Conference on Industrial Engineering and Operations Management Dubai, UAE, March 10-12, 2020
Williams MD, Rana NP and Dwivedi YK (2015) The unified theory of acceptance and use of technology (UTAUT): a literature review. Journal of Enterprise Information Management. 28(3): 443-488. https://doi.org/10.1108/JEIM-09-2014-0088
Yakubu, M. N & Dasuki, S. I. (2019). Factors Affecting the Adoption of E Learning Technologies among Higher Education Students in Nigeria: A Structural Equation Modelling Approach. Information Development, 35(3), 492-502. DOI:10.1177/0266666918765907

Files

History

  • Receive Date: 20 August 2025
  • Revise Date: 14 November 2025
  • Accept Date: 07 December 2025
  • First Publish Date: 05 January 2026
  • Publish Date: 21 March 2026

Share

How to cite

Statistics