扩展技术接受模型:采用区块链技术的新视角

IF 4.3 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Chih-Hung Chen
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引用次数: 0

摘要

以往的研究调查了互联网采用的影响因素,尽管区块链技术(BCT)与互联网相似,但研究结果可能无法用于解释区块链技术(BCT)的采用。本研究通过建立一个扩展的技术接受模型(TAM)来研究区块链技术采用的影响因素,从而弥补了这一不足。该模型由四个关键因素组成,包括企业层面的战略管理和社会影响,以及个人层面的个人创新和自我效能。研究收集了台湾证券交易所公司 384 名员工的数据,并利用结构方程模型对假设进行了检验。结果表明,公司层面的战略管理和社会影响对 BCT 的采用有直接影响,而感知有用性对其有间接影响。随后,企业提供的培训和支持可以提高个人的创新能力和自我效能感,这在个人层面上对BCT的采用有直接影响,并部分受到感知易用性的中介作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extending the Technology Acceptance Model: A New Perspective on the Adoption of Blockchain Technology
While previous studies have investigated the factors influencing Internet adoption, the findings may not be transferable to explain blockchain technology (BCT) adoption, despite its similarities to the Internet. This study addresses this gap by developing an extended technology acceptance model (TAM) to investigate the factors influencing BCT adoption. The model consists of four key factors, including strategic management and social influence at the firm level, and individual innovation and self-efficacy at the individual level. Data were collected from 384 employees at Taiwan Stock Exchange companies, and structural equation modeling was utilized to test the hypotheses. Results reveal that strategic management and social influence at the firm level have a direct impact on BCT adoption, which is indirectly influenced by perceived usefulness. Subsequently, training and support provided by the firm can enhance individual innovation and self-efficacy, which has direct effects on BCT adoption at the individual level and is partially mediated by perceived ease of use.
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来源期刊
Human Behavior and Emerging Technologies
Human Behavior and Emerging Technologies Social Sciences-Social Sciences (all)
CiteScore
17.20
自引率
8.70%
发文量
73
期刊介绍: Human Behavior and Emerging Technologies is an interdisciplinary journal dedicated to publishing high-impact research that enhances understanding of the complex interactions between diverse human behavior and emerging digital technologies.
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