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技术接受行为与反馈循环:探索新冠疫情后情景下技术接受模型的反向因果关系

Technology Acceptance Behavior and Feedback Loop: Exploring Reverse Causality of TAM in Post-COVID-19 Scenario.

作者信息

Ishaq Erum, Bashir Sajid, Zakariya Ramsha, Sarwar Aisha

机构信息

Bahria Business School, Bahria University, Islamabad, Pakistan.

Department of Business Studies, Namal Institute, Mianwali, Pakistan.

出版信息

Front Psychol. 2021 Sep 13;12:682507. doi: 10.3389/fpsyg.2021.682507. eCollection 2021.

Abstract

In this study, we considered the reverse causality of the technology acceptance model, specifically in the post-COVID-19 scenario. We propose a theoretical model that considers the impact of technology acceptance behaviors after COVID-19 over the beliefs of a user in terms of perceived ease of using technology and its usefulness. More specifically, we suggested that acceptance of technology post-COVID-19 may have influenced many technology-related individual factors such as computer efficacy, mastery experience, and self-regulated learning of users, while using technology that in turn may have affected beliefs of users about ease of using technology. Such an effect is ultimately reflected in the belief of technology usefulness and favorable post-COVID-19 attitude of users toward using technology. We further extend our model to identify mastery orientation of individuals that may moderate the relationship between technology acceptance behaviors and favorable attitude toward using technology in the post-COVID-19 scenario. Both practical and theoretical implications of this perspective are discussed.

摘要

在本研究中,我们考虑了技术接受模型的反向因果关系,特别是在新冠疫情后的情景中。我们提出了一个理论模型,该模型考虑了新冠疫情后技术接受行为对用户在感知技术易用性及其有用性方面信念的影响。更具体地说,我们认为新冠疫情后对技术的接受可能影响了许多与技术相关的个体因素,如用户的计算机效能、掌握经验和自我调节学习,而使用技术反过来又可能影响用户对技术易用性的信念。这种影响最终体现在用户对技术有用性的信念以及新冠疫情后对使用技术的积极态度上。我们进一步扩展模型,以识别个体的掌握导向,这可能会调节新冠疫情后情景中技术接受行为与对使用技术的积极态度之间的关系。本文还讨论了这一观点的实践和理论意义。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f67/8473738/b0154dec2c87/fpsyg-12-682507-g001.jpg

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