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地填写文献信息,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!

Let it go and embrace something new: How goal reengagement capacities moderate the effect of interacting with artificial intelligence on career optimism

乐观 主义 心理学 社会心理学 应用心理学
作者
Julian Voigt,Karoline Strauss
出处
期刊:Journal of Vocational Behavior [Elsevier BV]
卷期号:161: 104154-104154 被引量:4
标识
DOI:10.1016/j.jvb.2025.104154
摘要

Artificial Intelligence (AI) is rapidly entering the workplace, changing the way people work and affecting their careers. This integration raises critical questions about the capabilities employees need to maintain a positive outlook on the rise of AI and the future of their career. We explore how goal reengagement capacities shape the impact of human-AI interaction. In two experimental studies, we develop a moderated mediation model in which goal reengagement capacities moderate the path from AI interaction (vs. a control group) through perceived threat of AI to career-related optimism. Using two experimental studies with students ( N = 355) and full-time employees ( N = 186), we show that individuals' goal reengagement capacities moderate the indirect relationship between AI interaction and career-related optimism via perceived threat of AI, such that this indirect effect is negative for those with low goal reengagement capacities and positive for those with high goal reengagement capacities. Our findings underscore the value of letting go of previously held goals and embracing new ones as AI reshapes the world of work, and highlight goal reengagement capacities as critical for maintaining career optimism in an AI-transformed workplace. • Goal reengagement capacities shape the impact of interacting with artificial intelligence (AI) on perceived threat of AI. • Goal reengagement capacities moderate the effect of AI interaction on career optimism through perceived threat of AI. • Individuals interacting with AI perceive AI as more threatening when goal reengagement capacities are low. • Individuals interacting with AI are less optimistic about their careers when goal reengagement capacities are low.
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
洛白NON完成签到 ,获得积分10
1秒前
369ninja发布了新的文献求助10
1秒前
2秒前
2秒前
YYJ发布了新的文献求助10
3秒前
3秒前
Li发布了新的文献求助10
3秒前
科研通AI6.2应助负责的衫采纳,获得10
4秒前
5秒前
toxbind完成签到,获得积分10
6秒前
8秒前
自信萃完成签到 ,获得积分10
8秒前
fuyule发布了新的文献求助10
9秒前
Li发布了新的文献求助10
9秒前
10秒前
11秒前
威武的QQ完成签到,获得积分10
11秒前
暮时完成签到 ,获得积分10
11秒前
我是老大应助科研通管家采纳,获得10
11秒前
woshi123应助科研通管家采纳,获得10
11秒前
SciGPT应助科研通管家采纳,获得10
11秒前
上官若男应助科研通管家采纳,获得10
11秒前
12秒前
天天快乐应助科研通管家采纳,获得10
12秒前
丘比特应助科研通管家采纳,获得10
12秒前
sun发布了新的文献求助10
12秒前
12秒前
12秒前
薯片獭獭发布了新的文献求助10
12秒前
13秒前
Owen应助toxbind采纳,获得10
14秒前
zz发布了新的文献求助10
17秒前
千云皆墨完成签到,获得积分10
19秒前
369ninja发布了新的文献求助10
19秒前
19秒前
20秒前
21秒前
21秒前
爱吃素完成签到,获得积分10
22秒前
22秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7570950
求助须知:如何正确求助?哪些是违规求助? 9150660
关于积分的说明 19571609
捐赠科研通 7156230
什么是DOI,文献DOI怎么找? 3263968
关于科研通互助平台的介绍 2429319
邀请新用户注册赠送积分活动 2254077