心理学
知识管理
比例(比率)
机制(生物学)
大裂谷
组织行为学
社会心理学
计算机科学
天文
量子力学
认识论
物理
哲学
作者
Guangming Cao,Yanqing Duan,John S. Edwards,Yogesh K. Dwivedi
出处
期刊:Technovation
[Elsevier]
日期:2021-08-01
卷期号:106: 102312-102312
被引量:210
标识
DOI:10.1016/j.technovation.2021.102312
摘要
While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers' attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers' attitudes and behavioral intentions towards using AI. The research model is tested through a large-scale questionnaire survey of 269 UK business managers. Our findings suggest that IAAAM provides a more comprehensive model for explaining and predicting managers' attitudes and behavioral intentions towards using AI. Our research contributes conceptually and empirically to the emerging literature on using AI for organizational decision-making. Further, regarding the practical implications of using AI for organizational decision-making, we highlight the importance of developing favorable facilitating conditions, having an effective mechanism to alleviate managers’ personal concerns, and having a balanced consideration of both the benefits and the dark side associated with using AI.
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