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Understanding students’ technology acceptance behaviour: A meta-analytic study

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  • Santini, Fernando de Oliveira
  • Sampaio, Claudio Hoffmann
  • Rasul, Tareq
  • Ladeira, Wagner Junior
  • Kar, Arpan Kumar
  • Perin, Marcelo Gattermann
  • Azhar, Mohd

Abstract

Students' acceptance of various technologies in their learning process has long been of interest to academics and practitioners. Amongst other models, the Technology Acceptance Model (TAM) has predominated in this area. Nevertheless, there has not been a single empirical study that has analyzed and compiled the results of all these TAM-based studies. As a result, we perform a comprehensive meta-analysis and apply Meta-Analytic Structural Equation Modelling (MASEM) for a conceptual framework to assess an effect size of 2462 and a total sample size of 158,096 from 299 primary studies. Our findings reveal that enjoyment is the most prominent antecedent of TAM that plays a critical role in students’ technology acceptance behavior. Further, several methodological, cultural, and contextual moderators were confirmed. We then address the implications of these findings for both research and practice.

Suggested Citation

  • Santini, Fernando de Oliveira & Sampaio, Claudio Hoffmann & Rasul, Tareq & Ladeira, Wagner Junior & Kar, Arpan Kumar & Perin, Marcelo Gattermann & Azhar, Mohd, 2025. "Understanding students’ technology acceptance behaviour: A meta-analytic study," Technology in Society, Elsevier, vol. 81(C).
    • Handle: RePEc:eee:teinso:v:81:y:2025:i:c:s0160791x24003464
    DOI: 10.1016/j.techsoc.2024.102798
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    1. John Hulland & Mark B. Houston, 2020. "Why systematic review papers and meta-analyses matter: an introduction to the special issue on generalizations in marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 351-359, May.
    2. Lim, Weng Marc & Rasul, Tareq, 2022. "Customer engagement and social media: Revisiting the past to inform the future," Journal of Business Research, Elsevier, vol. 148(C), pages 325-342.
    3. Xiaotao Zhang & Abiodun Oluyomi & LeChauncy Woodard & Syed Ahsan Raza & Maral Adel Fahmideh & Ola El-Mubasher & Jinyoung Byun & Younghun Han & Christopher I. Amos & Hoda Badr, 2021. "Individual-Level Determinants of Lifestyle Behavioral Changes during COVID-19 Lockdown in the United States: Results of an Online Survey," IJERPH, MDPI, vol. 18(8), pages 1-15, April.
    4. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.
    5. Ahmad Amer & Wajeeh Daher, 2019. "Moodle quizzes as a teaching tool in English for academic purposes course," International Journal of Innovation and Learning, Inderscience Enterprises Ltd, vol. 25(1), pages 35-49.
    6. Francisco Javier Lacarcel & Raquel Huete, 2023. "Digital communication strategies used by private companies, entrepreneurs, and public entities to attract long-stay tourists: a review," International Entrepreneurship and Management Journal, Springer, vol. 19(2), pages 691-708, June.
    7. Fernando Santini & Wagner Junior Ladeira & Diego Costa Pinto & Márcia Maurer Herter & Claudio Hoffmann Sampaio & Barry J. Babin, 2020. "Customer engagement in social media: a framework and meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 48(6), pages 1211-1228, November.
    8. Jose Ramon Saura & Daniel Palacios-Marqués & Domingo Ribeiro-Soriano, 2023. "Leveraging SMEs technologies adoption in the Covid-19 pandemic: a case study on Twitter-based user-generated content," The Journal of Technology Transfer, Springer, vol. 48(5), pages 1696-1722, October.
    9. Kamal, Syeda Ayesha & Shafiq, Muhammad & Kakria, Priyanka, 2020. "Investigating acceptance of telemedicine services through an extended technology acceptance model (TAM)," Technology in Society, Elsevier, vol. 60(C).
    10. Donald Bergh & Herman Aguinis & Ciaran Heavey & David Ketchen & Brian Boyd & Peiran Su & Cubie Lau & Harry Joo, 2016. "Using meta‐analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership‐performance relationship," Post-Print hal-04686335, HAL.
    11. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    12. Geert Hofstede, 2010. "The GLOBE debate: Back to relevance," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(8), pages 1339-1346, October.
    13. Inman, J. Jeffrey & Nikolova, Hristina, 2017. "Shopper-Facing Retail Technology: A Retailer Adoption Decision Framework Incorporating Shopper Attitudes and Privacy Concerns," Journal of Retailing, Elsevier, vol. 93(1), pages 7-28.
    14. Fernando de Oliveira Santini & Wagner Junior Ladeira & Claudio Hoffmann Sampaio & Gustavo da Silva Costa, 2017. "Student satisfaction in higher education: a meta-analytic study," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 27(1), pages 1-18, January.
    15. Fern, Edward F & Monroe, Kent B, 1996. "Effect-Size Estimates: Issues and Problems in Interpretation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 23(2), pages 89-105, September.
    16. Donald D. Bergh & Herman Aguinis & Ciaran Heavey & David J. Ketchen & Brian K. Boyd & Peiran Su & Cubie L. L. Lau & Harry Joo, 2016. "Using meta-analytic structural equation modeling to advance strategic management research: Guidelines and an empirical illustration via the strategic leadership-performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 37(3), pages 477-497, March.
    17. James G. Combs & T. Russell Crook & Andreas Rauch, 2019. "Meta‐Analytic Research in Management: Contemporary Approaches, Unresolved Controversies, and Rising Standards," Journal of Management Studies, Wiley Blackwell, vol. 56(1), pages 1-18, January.
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