Generative AI in the workplace: how employee experiences influence work outcomes?

生成语法 工作(物理) 知识管理 心理学 应用心理学 计算机科学 业务 工程类 人工智能 机械工程
作者
Mai Nguyen,Nhung Trinh,Ankit Mehrotra,Sarah Basahel
出处
期刊:Journal of Enterprise Information Management [Emerald Publishing Limited]
卷期号:38 (5): 1647-1666 被引量:7
标识
DOI:10.1108/jeim-11-2024-0637
摘要

Purpose In the contemporary business environment, organizations continue to increase their application of generative AI (GenAI) to enhance efficiency and productivity. Therefore, it becomes important to understand the impacts of GenAI on employees’ behaviors and organizations’ outcomes. In this research, we examine the impact of employee experience with GenAI on knowledge sharing, organizational resilience and agility and the role of emotional intelligence as a mediator. Design/methodology/approach The data gathered from 272 employees in various organizations using Qualtrics were analyzed through structural equation modeling to address questions about how employee experience with GenAI influences knowledge-sharing behavior within organizations. Additionally, it examines how knowledge sharing and resilience mediate the relationship between employee experience with GenAI and agility and how emotional intelligence moderates the relationship between employee experience with GenAI and its outcomes. Findings The findings indicate that GenAI is not just a tool but a resource that affects knowledge sharing, resilience and agility. The results indicate that knowledge sharing mediates the relationship between employee experience with GenAI and resilience and employee experience with GenAI and agility. Emotional intelligence emerged as a moderator between GenAI experience and resilience, with no moderation on knowledge sharing or agility. Originality/value The research guides organizations on how to engage GenAI and why it is important to embrace emotional intelligence to improve the outcomes realized from AI integration.
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