已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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]
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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
ET完成签到,获得积分10
刚刚
呆呆不瓜完成签到,获得积分10
3秒前
4秒前
Skywalk满天星完成签到,获得积分10
4秒前
墨辰完成签到 ,获得积分10
6秒前
dahai发布了新的文献求助10
7秒前
Sunday完成签到 ,获得积分10
7秒前
岳小龙完成签到 ,获得积分10
7秒前
七七完成签到 ,获得积分10
8秒前
宿素完成签到,获得积分10
8秒前
幽默的稚晴关注了科研通微信公众号
9秒前
CodeCraft应助芜湖采纳,获得10
10秒前
南风旧巷完成签到,获得积分10
10秒前
10秒前
10秒前
白金之星完成签到 ,获得积分10
11秒前
Ying完成签到,获得积分10
14秒前
科研通AI5应助asdf采纳,获得10
14秒前
15秒前
健忘远山发布了新的文献求助10
16秒前
执着乐双发布了新的文献求助10
17秒前
17秒前
rpe完成签到,获得积分10
17秒前
英姑应助TOJNRU采纳,获得10
18秒前
小周完成签到 ,获得积分10
18秒前
渣渣宣发布了新的文献求助10
20秒前
chenchenchen发布了新的文献求助10
21秒前
南风旧巷发布了新的文献求助10
22秒前
云魂完成签到,获得积分10
24秒前
nihaku完成签到,获得积分10
26秒前
执着乐双完成签到,获得积分10
29秒前
JamesPei应助健忘远山采纳,获得10
31秒前
木又完成签到 ,获得积分10
32秒前
焱焱不忘完成签到 ,获得积分10
33秒前
34秒前
乳酸菌小面包完成签到,获得积分10
34秒前
无花果应助chenchenchen采纳,获得30
37秒前
TaoJ完成签到,获得积分0
38秒前
小刘哥儿完成签到,获得积分10
39秒前
高分求助中
Mass producing individuality 600
Разработка метода ускоренного контроля качества электрохромных устройств 500
A Combined Chronic Toxicity and Carcinogenicity Study of ε-Polylysine in the Rat 400
Advances in Underwater Acoustics, Structural Acoustics, and Computational Methodologies 300
Effect of deresuscitation management vs. usual care on ventilator-free days in patients with abdominal septic shock 200
Erectile dysfunction From bench to bedside 200
Advanced Introduction to Behavioral Law and Economics 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3824866
求助须知:如何正确求助?哪些是违规求助? 3367233
关于积分的说明 10444690
捐赠科研通 3086477
什么是DOI,文献DOI怎么找? 1698028
邀请新用户注册赠送积分活动 816632
科研通“疑难数据库(出版商)”最低求助积分说明 769848