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Research Article

Understanding continuous use intention of technology among higher education teachers in emerging economy: evidence from integrated TAM, TPACK, and UTAUT model

ORCID Icon, ORCID Icon, , , &
Received 04 Dec 2023, Accepted 11 Apr 2024, Published online: 23 Apr 2024

References

  • Abbitt, Jason T. 2011. “An Investigation of the Relationship between Self-Efficacy Beliefs about Technology Integration and Technological Pedagogical Content Knowledge (TPACK) among Preservice Teachers.” Journal of Digital Learning in Teacher Education 27 (4): 134–43. https://doi.org/10.1080/21532974.2011.10784670.
  • Ajzen, Icek. 1991. “The Theory of Planned Behavior.” Organizational Behavior and Human Decision Processes 50 (2): 179–211. https://doi.org/10.1016/0749-5978(91)90020-t.
  • Al-Adwan, Ahmad Samed, and Mutaz M. Al-Debei. 2023. “The Determinants of Gen Z’s Metaverse Adoption Decisions in Higher Education: Integrating UTAUT2 with Personal Innovativeness in IT.” Education and Information Technologies 29 (6): 7413–7445. https://doi.org/10.1007/s10639-023-12080-1.
  • Al-Adwan, Ahmad Samed, Na Li, Amer Al-Adwan, Ghazanfar Ali Abbasi, Nour Awni Albelbisi, and Akhmad Habibi. 2023. “Extending the Technology Acceptance Model (TAM) to Predict University Students’ Intentions to Use Metaverse-Based Learning Platforms.” Education and Information Technologies 28 (11): 15381–413. https://doi.org/10.1007/s10639-023-11816-3.
  • Al-Adwan, Ahmad Samed, Husam Yaseen, Anas Ratib Alsoud, Fayrouz Abousweilem, and Waleed Mugahed Al-Rahmi. 2021. “Novel Extension of the UTAUT Model to Understand Continued Usage Intention of Learning Management Systems: The Role of Learning Tradition.” Education and Information Technologies 27 (3): 3567–93. https://doi.org/10.1007/s10639-021-10758-y.
  • Al-Emran, Mostafa, İbrahim Arpacı, and Said A. Salloum. 2020. “An Empirical Examination of Continuous Intention to Use M-Learning: An Integrated Model.” Education and Information Technologies 25 (4): 2899–918. https://doi.org/10.1007/s10639-019-10094-2.
  • Al-Maroof, Rana Saeed, Khadija Alhumaid, and Said A. Salloum. 2020. “The Continuous Intention to Use E-Learning, from Two Different Perspectives.” Education Sciences 11 (1): 6. https://doi.org/10.3390/educsci11010006.
  • An, Xiaobo, Ching Sing Chai, Yushun Li, Ying Zhou, Xipeng Shen, Chunping Zheng, and Mengyuan Chen. 2022. “Modeling English Teachers’ Behavioral Intention to Use Artificial Intelligence in Middle Schools.” Education and Information Technologies 28 (5): 5187–208. https://doi.org/10.1007/s10639-022-11286-z.
  • Anđić, Branko, Andrej Šorgo, Danijela Stešević, and Zsolt Lavicza. 2022. “The Factors Which Influence the Continuance Intention of Teachers in Using the Interactive Digital Identification Key for Trees in Elementary School Science Education.” Eurasia Journal of Mathematics, Science and Technology Education 18 (8): em2140. https://doi.org/10.29333/ejmste/12239.
  • Arunachalam, Thiruchelvi. 2019, October. “An Investigation on the Role of Perceived Ease of Use, Perceived Use and Self Efficacy in Determining … ” ResearchGate. https://www.researchgate.net/publication/336639594.
  • Babakus, E., and W. G. Mangold. 1992. “Adapting the SERVQUAL Scale to Hospital Services: An Empirical Investigation.” Health Services Research 26 (6): 767–86. http://www.ncbi.nlm.nih.gov/pmc/articles/pmc1069855/.
  • Bao, Wei. 2020. “COVID -19 and Online Teaching in Higher Education: A Case Study of Peking University.” Human Behavior and Emerging Technologies 2 (2): 113–5. https://doi.org/10.1002/hbe2.191.
  • Basilotta-Gómez-Pablos, V., M. Matarranz, L. A. Casado-Aranda, and A. Otto. 2022. “Teachers’ Digital Competencies in Higher Education: A Systematic Literature Review.” International Journal of Educational Technology in Higher Education 19 (1): 1–16. https://doi.org/10.1186/s41239-021-00312-8.
  • Bhattacherjee, A. 2001. “Understanding Information Systems Continuance: An Expectation-confirmation Model.” MIS Quarterly 25 (3): 351–70. https://doi.org/10.2307/3250921.
  • Bøe, Tove, Kåre Sandvik, and Boge Gulbrandsen. 2020. “Continued Use of E-Learning Technology in Higher Education: A Managerial Perspective.” Studies in Higher Education 46 (12): 2664–79. https://doi.org/10.1080/03075079.2020.1754781.
  • Buttle, F. 1996. “SERVQUAL: Review, Critique, Research Agenda.” European Journal of Marketing 30 (1): 8–32. https://doi.org/10.1108/03090569610105762.
  • Cai, Su, Enrui Liu, Yang Yang, and Jyh Chong Liang. 2018. “Tablet-based AR Technology: Impacts on Students’ Conceptions and Approaches to Learning Mathematics According to Their Self-efficacy.” British Journal of Educational Technology 50 (1): 248–63. https://doi.org/10.1111/bjet.12718.
  • Cao, Jihua, Jie Li, Yunfeng Wang, and Mengqi Ai. 2022. “The Impact of Self-Efficacy and Perceived Value on Customer Engagement under Live Streaming Commerce Environment.” Security and Communication Networks 2022 (January): 1–13. https://doi.org/10.1155/2022/2904447.
  • Chen, Chin-Pin, Hui-Min Lai, and Chien-Yen Ho. 2015. “Why Do Teachers Continue to Use Teaching Blogs? The Roles of Perceived Voluntariness and Habit.” Computers & Education 82 (March): 236–49. https://doi.org/10.1016/j.compedu.2014.11.017.
  • Cohen, Jacob. 1988. “Statistical Power Analysis for the Behavioral Sciences.” Routledge eBooks 370–383. https://doi.org/10.4324/9780203771587.
  • Collis, Betty, and J. C. M. M. Moonen. 2002. “Flexible Learning in a Digital World.” Open Learning: The Journal of Open and Distance Learning 17 (3): 217–30. https://doi.org/10.1080/0268051022000048228.
  • Davis, Fred D. 1989. “Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology.” Management Information Systems Quarterly 13 (3): 319. https://doi.org/10.2307/249008.
  • Davis, Fred D., Richard P. Bagozzi, and Paul R. Warshaw. 1989. “User Acceptance of Computer Technology: A Comparison of Two Theoretical Models.” Management Science 35 (8): 982–1003. https://doi.org/10.1287/mnsc.35.8.982.
  • Du, Wenbin, Ruoyu Liang, and Denghui Liu. 2022. “Factors Influencing School Teachers’ Continuous Usage Intention of Using VR Technology for Classroom Teaching.” SAGE Open 12 (3): 215824402211143. https://doi.org/10.1177/21582440221114325.
  • Fink, Aron, Christian Spoden, and Andreas Frey. 2022. “Determinants of Higher Education Teachers’ Intention to Use Technology-Based Exams.” Education and Information Technologies 28 (6): 6485–513. https://doi.org/10.1007/s10639-022-11435-4.
  • Fornell, Claes, and David F. Larcker. 1981. “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research 18 (1): 39–50. https://doi.org/10.1177/002224378101800104.
  • Granić, Andrina, and Nikola Marangunić. 2019. “Technology Acceptance Model in Educational Context: A Systematic Literature Review.” British Journal of Educational Technology 50 (5): 2572–93. https://doi.org/10.1111/bjet.12864.
  • Grant, C., and A. Osanloo. 2014. “Understanding, Selecting, and Integrating a Theoretical Framework in Dissertation Research: Creating the Blueprint for Your ‘House’.” Administrative Issues Journal Education Practice and Research 4 (2): 1–15. https://doi.org/10.5929/2014.4.2.9.
  • Gupta, Anil, Anish Yousaf, and Abhishek Mishra. 2020. “How Pre-Adoption Expectancies Shape Post-Adoption Continuance Intentions: An Extended Expectation-Confirmation Model.” International Journal of Information Management 52 (June): 102094. https://doi.org/10.1016/j.ijinfomgt.2020.102094.
  • Hair, Joseph F., Jeffrey J. Risher, Marko Sarstedt, and Christian M. Ringle. 2019. “When to Use and How to Report the Results of PLS-SEM.” European Business Review 31 (1): 2–24. https://doi.org/10.1108/ebr-11-2018-0203.
  • Haverila, Matti J., Caitlin McLaughlin, and Kai Haverila. 2022. “The Impact of Social Influence on Perceived Usefulness and Behavioral Intentions in the Usage of Non-Pharmaceutical Interventions (NPIs).” International Journal of Healthcare Management 16 (1): 145–56. https://doi.org/10.1080/20479700.2022.2082635.
  • Henseler, Jörg, Christian M. Ringle, and Marko Sarstedt. 2014. “A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling.” Journal of the Academy of Marketing Science 43 (1): 115–35. https://doi.org/10.1007/s11747-014-0403-8.
  • Joo, Y. J., S. Park, and E. Lim. 2018. “Factors Influencing Preservice Teachers’ Intention to Use Technology.” Journal of Educational Technology & Society 21 (3): 48–59. http://www.jstor.org/stable/26458506.
  • Juan, Cristina Mercader, and Joaquìn Gairín. 2020. “University Teachers’ Perception of Barriers to the Use of Digital Technologies: The Importance of the Academic Discipline.” International Journal of Educational Technology in Higher Education 17 (1): 2–14. https://doi.org/10.1186/s41239-020-0182-x.
  • Khechine, Hager, and Marc Augier. 2019, January. “Adoption of a Social Learning Platform in Higher Education: An Extended UTAUT Model Implementation.” Proceedings of the … Annual Hawaii International Conference on System Sciences. https://doi.org/10.24251/hicss.2019.008.
  • Khlaif, Zuheir N., Mageswaran Sanmugam, and Abedulkarim Ayyoub. 2022. “Impact of Technostress on Continuance Intentions to Use Mobile Technology.” The Asia-Pacific Education Researcher 32: 151–162. https://doi.org/10.1007/s40299-021-00638-x.
  • Khong, H., I. Celik, T. T. T. Le, V. T. T. Lai, A. Nguyen, and H. Bui. 2023. “Examining Teachers’ Behavioural Intention for Online Teaching after COVID-19 Pandemic: A Large-scale Survey.” Education and Information Technologies 28 (5): 5999–6026. https://doi.org/10.1007/s10639-022-11417-6.
  • Kim, Keesung, Jiyeon Hwang, Hangjung Zo, and Hwansoo Lee. 2014. “Understanding Users’ Continuance Intention toward Smartphone Augmented Reality Applications.” Information Development 32 (2): 161–74. https://doi.org/10.1177/0266666914535119.
  • Koehler, M. J., and P. Mishra. 2009. “What is Technological Pedagogical Content Knowledge?” Contemporary Issues in Technology and Teacher Education 9 (1). https://citejournal.org/volume-9/issue-1-09/60-70/general/what-is-technological-pedagogicalcontent-knowledge.
  • Lawson-Body, A., L. Willoughby, L. Lawson-Body, and E. M. Tamandja. 2020. “Students’ Acceptance of E-books: An Application of UTAUT.” Journal of Computer Information Systems 60 (3): 256–267. http://doi.org/10.1080/08874417.2018.1463577.
  • Limayem, Moez, and Christy M. K. Cheung. 2008. “Understanding Information Systems Continuance: The Case of Internet-Based Learning Technologies.” Information & Management 45 (4): 227–32. https://doi.org/10.1016/j.im.2008.02.005.
  • Liu, Sunny Lu. 2008. “Student Interaction Experiences in Distance Learning Courses A Phenomenological Study.” Online Journal of Distance Learning Administration XI: 1–9.
  • Maeng, Jennifer L., Bridget K. Mulvey, Lara K. Smetana, and Randy L. Bell. 2013. “Preservice Teachers’ TPACK: Using Technology to Support Inquiry Instruction.” Journal of Science Education and Technology 22 (6): 838–57. https://doi.org/10.1007/s10956-013-9434-z.
  • Maipita, Indra, Faisal Rahman Dongoran, Dedy Husrizal Syah, and Gaffar Hafiz Sagala. 2023. “TPACK, Organizational Support, and Technostress in Explaining Teacher Performance during Fully Online Learning.” Journal of Information Technology Education 22 (January): 041–70. https://doi.org/10.28945/5069.
  • Maketo, Lydia, Tomayess Issa, Tomayess Issa, and S. Zaung Nau. 2023. “M-Learning Adoption in Higher Education towards SDG4.” Future Generation Computer Systems 147 (October): 304–15. https://doi.org/10.1016/j.future.2023.05.010.
  • Meet, Rakesh Kumar, and Devkant Kala. 2021. “Trends and Future Prospects in MOOC Researches: A Systematic Literature Review 2013–2020.” Contemporary Educational Technology 13 (3): ep312. https://doi.org/10.30935/cedtech/10986.
  • Meet, Rakesh Kumar, Devkant Kala, and Ahmad Samed Al-Adwan. 2022. “Exploring Factors Affecting the Adoption of MOOC in Generation Z Using Extended UTAUT2 Model.” Education and Information Technologies 27 (7): 10261–83. https://doi.org/10.1007/s10639-022-11052-1.
  • Mercader, C., and J. Gairín. 2020. “University Teachers' Perception of Barriers to the Use of Digital Technologies: the Importance of the Academic Discipline.” International Journal of Educational Technology in Higher Education 17 (1): 579. http://doi.org/10.1186/s41239-020-0182-x.
  • Mishra, Punya, and Matthew J. Koehler. 2006. “Technological Pedagogical Content Knowledge: A Framework for Teacher Knowledge.” Teachers College Record 108 (6): 1017–54. https://doi.org/10.1177/016146810610800610.
  • Ngai, Eric W.T., J. K. L. Poon, and Ying-Tung Chan. 2007. “Empirical Examination of the Adoption of WebCT Using TAM.” Computers & Education 48 (2): 250–67. https://doi.org/10.1016/j.compedu.2004.11.007.
  • Nguyen, Tuyet-Mai, Liem Viet Ngo, and Gary Gregory. 2021. “Motivation in Organisational Online Knowledge Sharing.” Journal of Knowledge Management 26 (1): 102–25. https://doi.org/10.1108/jkm-09-2020-0664.
  • Njiku, Joseph. 2022. “Attitude and Technological Pedagogical and Content Knowledge: The Reciprocal Predictors?” Journal of Research on Technology in Education 55 (6): 1020–35. https://doi.org/10.1080/15391523.2022.2089409.
  • Okoye, Kingsley, Hussein Haruna, Arturo Arrona-Palacios, Héctor Nahún Quintero, Luis Omar Peña Ortega, Angela Lopez Sanchez, Elena Arias Ortiz, José Escamilla, and Samira Hosseini. 2022. “Impact of Digital Technologies upon Teaching and Learning in Higher Education in Latin America: An Outlook on the Reach, Barriers, and Bottlenecks.” Education and Information Technologies 28 (2): 2291–360. https://doi.org/10.1007/s10639-022-11214-1.
  • Pelgrum, W. 2001. “Obstacles to the Integration of ICT in Education: Results from a Worldwide Educational Assessment.” Computers & Education 37 (2): 163–78. https://doi.org/10.1016/s0360-1315(01)00045-8.
  • Podsakoff, P. M., S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff. 2003. “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies.” Journal of applied psychology 88 (5): 879–903.
  • Raffaghelli, J. E., M. E. Rodríguez, A. E. Guerrero-Roldán, and D. Bañeres. 2022. “Applying the UTAUT Model to Explain the Students’ Acceptance of an Early Warning System in Higher Education.” Computers and Education 182 (2): 104468–104487. https://doi.org/10.1016/j.compedu.2022.104468.
  • Rosaline, S., and J. R. Wesley. 2017. “Factors Affecting Students' Adoption of ICT Tools in Higher Education Institutions.” International Journal of Information and Communication Technology Education 13 (2): 82–94. http://doi.org/10.4018/IJICTE.
  • Santos, J. M., and R. D. R. Castro. 2021. “Technological Pedagogical Content Knowledge (TPACK) in Action: Application of Learning in the Classroom by Pre-service Teachers (PST).” Social Sciences and Humanities Open 3 (1): 100110–100126. https://doi.org/10.1016/j.ssaho.2021.100110.
  • Scherer, R., S. K. Howard, J. Tondeur, and F. Siddiq. 2021. “Profiling Teachers’ Readiness for Online Teaching and Learning in Higher Education: Who’s Ready?” Computers in Human Behavior 118 (2): 106675. https://doi.org/10.1016/j.chb.2020.106675.
  • Schmidt, Denise, Evrim Baran, Ann D. Thompson, Punya Mishra, Matthew J. Koehler, and Tae Rim Shin. 2009. “Technological Pedagogical Content Knowledge (TPACK).” Journal of Research on Technology in Education 42 (2): 123–49. https://doi.org/10.1080/15391523.2009.10782544.
  • Schwarzer, R, and S. Hallum. 2008. “Perceived Teacher Self-Efficacy as a Predictor of Job Stress and Burnout: Mediation Analyses.” Applied Psychology 57 (s1): 152–171. http://doi.org/10.1111/apps.2008.57.issue-s1.
  • Sharma, Sarika, and Jatinderkumar R. Saini. 2022. “On the Role of Teachers’ Acceptance, Continuance Intention and Self-Efficacy in the Use of Digital Technologies in Teaching Practices.” Journal of Further and Higher Education 46 (6): 721–36. https://doi.org/10.1080/0309877x.2021.1998395.
  • Simms, Sarah, and Jeremiah Paschke-Wood. 2022. “Academic Librarians and Student Success: Examining Changing Librarian Roles and Attitudes.” Journal of Library Administration 62 (8): 1017–44. https://doi.org/10.1080/01930826.2022.2127585.
  • Statista. 2022. “Global E-Learning Market Size by Segment 2019 with a Forecast for 2026.” July 6, 2022. https://www.statista.com/statistics/1130331/e-learning-market-size-segment-worldwide/.
  • Šumak, B., M. Pušnik, M. Heričko, and A. Šorgo. 2017. “Differences between Prospective, Existing, and Former Users of Interactive Whiteboards on External Factors Affecting Their Adoption, Usage and Abandonment.” Computers in Human Behavior 72 (July): 733–56. https://doi.org/10.1016/j.chb.2016.09.006.
  • Tamilmani, Kuttimani, Nripendra P. Rana, Samuel Fosso Wamba, and Rohita Dwivedi. 2021. “The Extended Unified Theory of Acceptance and Use of Technology (UTAUT2): A Systematic Literature Review and Theory Evaluation.” International Journal of Information Management 57 (April): 102269. https://doi.org/10.1016/j.ijinfomgt.2020.102269.
  • Teo, Timothy. 2011. “Factors Influencing Teachers’ Intention to Use Technology: Model Development and Test.” Computers & Education 57 (4): 2432–40. https://doi.org/10.1016/j.compedu.2011.06.008.
  • Teo, Timothy, and Jan Noyes. 2012. “Explaining the Intention to Use Technology among Pre-Service Teachers: A Multi-Group Analysis of the Unified Theory of Acceptance and Use of Technology.” Interactive Learning Environments 22 (1): 51–66. https://doi.org/10.1080/10494820.2011.641674.
  • Thohir, M. Anas, Erif Ahdhianto, Siti Mas’ula, Fitri Yanti, and Moh. Irma Sukarelawan. 2023. “The Effects of TPACK and Facility Condition on Preservice Teachers’ Acceptance of Virtual Reality in Science Education Course.” Contemporary Educational Technology 15 (2): ep407. https://doi.org/10.30935/cedtech/12918.
  • Tran, H. T. T., N. T. Nguyen, and T. T. Tang. 2023. “Influences of Subjective Norms on Teachers’ Intention to Use Social Media in Working.” Contemporary Educational Technology 15 (1): 2–12. https://doi.org/10.30935/cedtech/12659.
  • Unicef. 2021. “The Implementation and Scaling of Digital Learning Solutions and Innovations to Reimagine Education (SDG4).” April 10, 2021. https://www.unicef.org/media/89196/file/Key-Asks-SDG4.pdf.
  • Usman, Osly, Amelia Septianti, Dewi Susita, and Marsofiyati Marsofiyati. 2020. “The Effect of Computer Self-Efficacy and Subjective Norm on the Perceived Usefulness, Perceived Ease of Use and Behavioural Intention to Use Technology.” Journal of Southeast Asian Research 2020 (June): 1–11. https://doi.org/10.5171/2020.753259.
  • Venkatesh, V., M. G. Morris, G. B. Davis, and F. D. Davis. 2003. “Venkatesh et al (2003) User Acceptance of Information Technology (1).” MIS Quarterly 27 (3): 425–78.
  • Wangdi, Thinley, Sonam Dhendup, and Ten Gyelmo. 2023. “Factors Influencing Teachers’ Intention to Use Technology: Role of TPACK and Facilitating Conditions.” International Journal of Instruction 16 (2): 1017–36. https://doi.org/10.29333/iji.2023.16254a.
  • Wijnen, Frances M., J. H. Walma Van Der Molen, and Joke Voogt. 2021. “Primary School Teachers’ Attitudes toward Technology Use and Stimulating Higher-Order Thinking in Students: A Review of the Literature.” Journal of Research on Technology in Education 55 (4): 545–67. https://doi.org/10.1080/15391523.2021.1991864.
  • Williams, Michael D., Nripendra P. Rana, and Yogesh K. Dwivedi. 2015. “The Unified Theory of Acceptance and Use of Technology (UTAUT): A Literature Review.” Journal of Enterprise Information Management 28 (3): 443–88. https://doi.org/10.1108/jeim-09-2014-0088.
  • Wu, Bing, and Xiao-Hui Chen. 2017. “Continuance Intention to Use MOOCs: Integrating the Technology Acceptance Model (TAM) and Task Technology Fit (TTF) Model.” Computers in Human Behavior 67 (February): 221–32. https://doi.org/10.1016/j.chb.2016.10.028.
  • Yang, Jinzhong, Qiyun Wang, Jingying Wang, Muxiong Huang, and Ma Yong-Jun. 2019. “A Study of K-12 Teachers’ TPACK on the Technology Acceptance of E-Schoolbag.” Interactive Learning Environments 29 (7): 1062–75. https://doi.org/10.1080/10494820.2019.1627560.
  • Zhang, J. E. 2021. “Integrative Analytics for Technological Pedagogical Content Knowledge.” Complexity 2021 (2): 1–10. https://doi.org/10.1155/2021/5774789.
  • Zhang, Xinli, Yu-Chen Chen, Lailin Hu, and Youmei Wang. 2022. “The Metaverse in Education: Definition, Framework, Features, Potential Applications, Challenges, and Future Research Topics.” Frontiers in Psychology 13 (October): 1–18. https://doi.org/10.3389/fpsyg.2022.1016300.
  • Zhou, Chi, Di Wu, Yating Li, Harrison Hao Yang, Shuo Man, and Min Chen. 2022. “The Role of Student Engagement in Promoting Teachers’ Continuous Learning of TPACK: Based on a Stimulus-Organism-Response Framework and an Integrative Model of Behavior Prediction.” Education and Information Technologies 28 (2): 2207–27. https://doi.org/10.1007/s10639-022-11237-8.

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