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Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020

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Recent Advances in Technology Acceptance Models and Theories

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 335))

Abstract

During the last three decades, the Technology Acceptance Model (TAM) has emerged as a robust model for examining the determinants affecting users’ behavior and use of various technologies. Despite its reliability and applicability across thousands of studies, TAM has been recently criticized for being an outdated model. To determine whether the TAM is outdated or still valid, this bibliometric analysis study aims to review the TAM and its applications based on analyzing 2399 articles published in the Web of Science database during the period (2010–2020). Various characteristics were examined, including the progress of TAM publications, most studied applications, most studied domains, most productive countries, most productive journals, and the main theories/models used with TAM. The main findings indicated that the number of studies on TAM and its applications are on the rise, suggesting that applying, modifying, and extending the model is still valid across several applications and domains. E-commerce was on the top of the list of TAM applications with an increasing number of studies on recent emerging applications like augmented reality. The banking, education, and healthcare were among the most often domains through which TAM applications were applied. Among several theories/models, the TPB, DeLone and McLean IS Success Model, and UTAUT have dominated the integration with TAM across various applications. It is believed that these findings would advance the research wheel of TAM and provide an insight for future research paths.

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Al-Emran, M., Granić, A. (2021). Is It Still Valid or Outdated? A Bibliometric Analysis of the Technology Acceptance Model and Its Applications From 2010 to 2020. In: Al-Emran, M., Shaalan, K. (eds) Recent Advances in Technology Acceptance Models and Theories. Studies in Systems, Decision and Control, vol 335. Springer, Cham. https://doi.org/10.1007/978-3-030-64987-6_1

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