独创性
结构方程建模
情商
价值(数学)
情感(语言学)
透视图(图形)
知识管理
社会心理学
组织文化
心理学
公共关系
计算机科学
人工智能
创造力
沟通
机器学习
政治学
作者
Amal Dabbous,Karine Aoun Barakat,May Merhej Sayegh
出处
期刊:Journal of Asia Business Studies
[Emerald (MCB UP)]
日期:2021-02-11
卷期号:16 (2): 245-266
被引量:38
标识
DOI:10.1108/jabs-09-2020-0372
摘要
Purpose As artificial intelligence (AI) has become increasingly popular and accessible, most companies have recognized its far-reaching potential. However, despite numerous research papers on organizational adoption of new technologies including AI, little is known about individual employees’ intentions to use them. Given that organizational innovations are of limited value if they are not adopted by employees, the purpose of this study is to understand the underlying factors that push employees to make use of these new technologies in the workplace. Design/methodology/approach This study builds on previously developed technology acceptance models to provide a new theoretical model. The model is then tested using data collected from a survey of 203 employees and analyzed through structural equation modeling. Findings Findings show that five factors affect employees’ intention to use AI either directly or as mediators. Organizational culture and habit exert a positive impact on employees’ intention to use AI, whereas job insecurity has a negative impact. Perceived self-image and perceived usefulness fully mediate the relation between job insecurity and intention to use. Moreover, perceived self-image and perceived usefulness partially mediate the relationship between habit and intention to use. Originality/value To the best of the authors’ knowledge, this study is among the first to determine the factors that influence employees’ intention to use AI in general and more particularly chatbots within the workplace.
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