人工智能驱动的技术专家是否促进或阻碍员工的人工智能采用意图? 情感反应和技术自我效率的温和调解模型
Po-Chien Chang1, Wenhui Zhang1,2, Qihai Cai1
1School of Business, Macau University of Science and Technology, Macau, People's Republic of China.
Psychology research and behavior management
|February 12, 2024
概括
积极的技术压力因素通过积极的影响来提高人工智能采用意图,而负面的压力因素通过焦虑来减少它. 技术的自我效能影响了这些AI采用动态.
科学领域:
- 心理学 心理学 心理学
- 信息系统信息系统信息系统
- 组织行为 组织行为
背景情况:
- 人工智能 (AI) 整合的员工技术压力影响了AI采用意图.
- 现有的关于人工智能技术压力的心理影响的研究是不确定的.
- 情感事件理论 (AET) 和挑战障碍压力因素框架 (CHSF) 提供了理论基础.
研究的目的:
- 研究将技术压力因素与人工智能采用意图联系在一起的机制.
- 探索积极影响和AI焦虑的调解作用.
- 检查技术自我效能对这些关系的温和效应.
主要方法:
- 来自中国广东省11个组织的301名员工的定量,三波调查数据.
- 雪球采样和结构化问卷.
- 使用SPSS的Mplus和Process宏的确认因素分析和回归分析.
主要成果:
- 积极影响介于挑战压力因素和人工智能采用意图之间的积极关系.
- 人工智能焦虑调解了障碍压力因素和人工智能采用意图之间的负面关系.
- 技术自我效能减轻了压力因素对情感反应的影响以及对人工智能采用的间接影响.
结论:
- 挑战压力因素通过积极影响增强人工智能采用意图;阻碍压力因素通过人工智能焦虑减少它.
- 技术自我效能是压力因素-影响-采用关系中的一个关键调节者.
- 结果为管理员工人工智能采用提供了实际见解,并验证了AET和CHSF.
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