Impact of Different Employee-AI Interaction: Instrumental vs. Emotional Support and Gender Differences

被引:0
作者
Chen, Jiaying [1 ]
Xue, Jiaxin [1 ]
Li, Yuhui [1 ]
Luo, Wenhao [2 ]
机构
[1] Renmin Univ China, Sch Lab & Human Resources, 59 Zhongguancun St, Beijing 100872, Peoples R China
[2] North China Univ Technol, Sch Econ & Management, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
Artificial intelligence; instrumental support; emotional support; job insecurity; knowledge hiding; gender difference; JOB INSECURITY; SEX-DIFFERENCES; GOAL ORIENTATIONS; WOMEN; COLLABORATION; ANTECEDENTS; STEREOTYPES; BEHAVIOR; MEN;
D O I
10.1080/10447318.2025.2474460
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Previous studies have shown that employee-AI interactions increase job insecurity and negative behaviors, mainly due to AI's focus on task assistance while neglecting its role in emotional support. We categorize employee-AI interactions into two types: using AI for emotional support and using AI for instrumental support. We further differentiate their impact on job insecurity and knowledge hiding. Results from a multi-wave survey involving 495 participants showed that using AI for instrumental support increases job insecurity, subsequently leading to knowledge hiding, while using AI for emotional support reduces these detrimental effects. Furthermore, the mitigating effect of emotional support on job insecurity and knowledge hiding is more pronounced for women than men. No gender differences were found in the impact of instrumental support. Our study contributes to the human-AI interaction literature by exploring how the nature of AI interactions influences workplace behavior.
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页数:14
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