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Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy

Author

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  • Yi He
  • Qimei Chen
  • Sakawrat Kitkuakul

Abstract

The technology acceptance model (TAM) has been widely used to gage IS adoption. Over the years, although research on the replications, extensions, and modifications of TAM has been prolific in adding antecedents and moderators to TAM, scant attention has been devoted to exploring TAM mediators. The current research attempts to deepen the understanding of TAM by delineating the underlying theoretical mechanisms of TAM relationships. In addition, we propose a parsimonious moderator, regulatory focus, to help integrate previously identified moderators, such as organizational, technological, and individual characteristics, that have been noted in prior studies. We report the results of one pilot study and two main studies in support of our proposed model, which serves to simplify and facilitate practical and managerial applications and implementation of TAM in IS strategy.

Suggested Citation

  • Yi He & Qimei Chen & Sakawrat Kitkuakul, 2018. "Regulatory focus and technology acceptance: Perceived ease of use and usefulness as efficacy," Cogent Business & Management, Taylor & Francis Journals, vol. 5(1), pages 1459006-145, January.
    • Handle: RePEc:taf:oabmxx:v:5:y:2018:i:1:p:1459006
    DOI: 10.1080/23311975.2018.1459006
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    Cited by:

    1. Ivo Rodrigues & João M. Lopes & Ana Borges & José Oliveira & Márcio Oliveira, 2021. "How Can Gamified Applications Drive Engagement and Brand Attitude? The Case of Nike Run Club Application," Administrative Sciences, MDPI, vol. 11(3), pages 1-20, September.
    2. Gaofeng Yi, 2020. "Why are Some Recommendation Systems Preferred?," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 14(2), pages 76-86.
    3. Zhigang Wang & Dan Fang & Xintao Liu & Lei Zhang & Hongyan Duan & Chao Wang & Kai Guo, 2023. "Consumer Acceptance of Sports Wearables: The Role of Products Attributes," SAGE Open, , vol. 13(3), pages 21582440231, July.
    4. Komlan Gbongli & Yongan Xu & Komi Mawugbe Amedjonekou, 2019. "Extended Technology Acceptance Model to Predict Mobile-Based Money Acceptance and Sustainability: A Multi-Analytical Structural Equation Modeling and Neural Network Approach," Sustainability, MDPI, vol. 11(13), pages 1-33, July.
    5. Ardvin Kester S. Ong & Yogi Tri Prasetyo & Ralph Andre C. Roque & Jan Gabriel I. Garbo & Kirstien Paola E. Robas & Satria Fadil Persada & Reny Nadlifatin, 2022. "Determining the Factors Affecting a Career Shifter’s Use of Software Testing Tools amidst the COVID-19 Crisis in the Philippines: TTF-TAM Approach," Sustainability, MDPI, vol. 14(17), pages 1-24, September.

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