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Evaluating Technology Acceptance Model on the User Resistance Perspective: A Meta-analytic Approach

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Book cover Advanced Network Technologies and Intelligent Computing (ANTIC 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1534))

Abstract

Technology acceptance model has been researched with many different external variables in the literature. One of the external variables of technology acceptance model is resistance. In present study, we aim to investigate the association between resistance and exogenous variables of technology acceptance model (perceived ease of use and perceived usefulness), on the basis of the findings of prior researches. We achieved 41 papers, which are indexed in SCOPUS database, have correlation scores between resistance and each variable of technology acceptance model. Then we used correlation scores and sample sizes reported in the papers and we conducted meta-analyses with Comprehensive Meta Analysis program. Publication bias was checked first, and no publication bias was found. After that we applied fixed and random effect models to the data and we found that random effect model was appropriate. Results of the analyses showed that average effect size of resistance and perceived ease of use was negative and small level (ṝ = −0,225, p = 0.00). Similarly, average effect size of resistance and perceived usefulness was negative and small level (ṝ = −0,238, p = 0.00) in this study. So we reached general conclusion about the association between resistance and exogenous variables of technology acceptance model in present study.

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Authors and Affiliations

  1. Yildiz Technical University, Esenler, 34220, Istanbul, Turkey

    Aygul Donmez-Turan & Mehmet Tugrul Odabas

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  1. Aygul Donmez-Turan
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  2. Mehmet Tugrul Odabas
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Correspondence to Aygul Donmez-Turan .

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Editors and Affiliations

  1. Ryerson University, Toronto, ON, Canada

    Isaac Woungang

  2. Netaji Subhas University of Technology, New Delhi, India

    Sanjay Kumar Dhurandher

  3. ABV-Indian Institute of Information Technology and Management, Gwalior, India

    Kiran Kumar Pattanaik

  4. Banaras Hindu University, Varanasi, India

    Anshul Verma

  5. Indian Institute of Technology BHU, Varanasi, India

    Pradeepika Verma

Appendix

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Table 3. Publications which have correlation scores between resistance and variables of TAM
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Donmez-Turan, A., Odabas, M.T. (2022). Evaluating Technology Acceptance Model on the User Resistance Perspective: A Meta-analytic Approach. In: Woungang, I., Dhurandher, S.K., Pattanaik, K.K., Verma, A., Verma, P. (eds) Advanced Network Technologies and Intelligent Computing. ANTIC 2021. Communications in Computer and Information Science, vol 1534. Springer, Cham. https://doi.org/10.1007/978-3-030-96040-7_59

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