亲爱的研友该休息了!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!身体可是革命的本钱,早点休息,好梦!

Linking employees’ challenge-hindrance appraisals toward AI to service performance: the influences of job crafting, job insecurity and AI knowledge

心理学 工作表现 工作态度 服务(商务) 社会心理学 知识管理 营销 工作满意度 业务 计算机科学
作者
Changqing He,Rongrong Teng,Jun Song
出处
期刊:International Journal of Contemporary Hospitality Management [Emerald Publishing Limited]
卷期号:36 (3): 975-994 被引量:72
标识
DOI:10.1108/ijchm-07-2022-0848
摘要

Purpose This study aims to explore the associations linking employees’ challenge-hindrance appraisals toward artificial intelligence (AI) to service performance while considering the dual mediating roles of job crafting and job insecurity, as well as the moderating role of AI knowledge. Design/methodology/approach A survey was administered to a sample of 297 service industry employees. This study examined all the hypotheses with Mplus 8.0. Findings This study confirms that challenge appraisal toward AI has an indirect positive influence on service performance via job crafting (motivation process), whereas hindrance appraisal toward AI has an indirect negative influence on service performance via job insecurity (strain process). Meanwhile, AI knowledge, serving as a key personal resource, could strengthen the positive impacts of challenge appraisal toward AI on job crafting and of hindrance appraisal toward AI on job insecurity. Practical implications Organizational decision-makers should first survey employees’ appraisals toward AI and then adopt targeted managerial strategies. From the perspective of service industry employees, employees should adopt proactive coping strategies and enrich their knowledge of AI to meet the challenges brought by this technology. Originality/value The primary contribution of this study is that we enrich the literature on AI by exploring the dual mediators (i.e. job crafting and job insecurity) through which AI awareness affects service performance. Moreover, this study advances our understanding of when appraisals toward AI influence job outcomes by identifying the moderating role of AI knowledge.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
EDSS完成签到,获得积分10
31秒前
36秒前
桥洞居士发布了新的文献求助10
39秒前
酷波er应助珊珊采纳,获得10
48秒前
Owen应助科研通管家采纳,获得10
51秒前
桥洞居士完成签到,获得积分10
1分钟前
1分钟前
顾矜应助冲冲冲根本采纳,获得10
1分钟前
1分钟前
研友_VZG7GZ应助wei采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
Wei完成签到,获得积分10
2分钟前
chuhong完成签到 ,获得积分10
2分钟前
Diamond完成签到 ,获得积分10
2分钟前
脑洞疼应助科研通管家采纳,获得10
2分钟前
2分钟前
CipherSage应助科研通管家采纳,获得10
2分钟前
共享精神应助科研通管家采纳,获得10
2分钟前
3分钟前
3分钟前
U点东西i发布了新的文献求助10
3分钟前
ding应助FloraMu采纳,获得10
3分钟前
4分钟前
4分钟前
4分钟前
隐形曼青应助科研通管家采纳,获得10
4分钟前
Akim应助科研通管家采纳,获得10
4分钟前
科研通AI5应助科研通管家采纳,获得10
4分钟前
5分钟前
Gengen完成签到 ,获得积分10
5分钟前
5分钟前
科研通AI2S应助纠结2333采纳,获得10
5分钟前
CodeCraft应助纠结2333采纳,获得10
5分钟前
剑门侠客发布了新的文献求助10
5分钟前
5分钟前
舒适的方盒完成签到 ,获得积分10
5分钟前
Lyncon完成签到,获得积分10
5分钟前
高分求助中
【重要!!请各位用户详细阅读此贴】科研通的精品贴汇总(请勿应助) 10000
Plutonium Handbook 1000
Three plays : drama 1000
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 1000
Semantics for Latin: An Introduction 999
Robot-supported joining of reinforcement textiles with one-sided sewing heads 580
Apiaceae Himalayenses. 2 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 4091568
求助须知:如何正确求助?哪些是违规求助? 3630350
关于积分的说明 11507548
捐赠科研通 3341852
什么是DOI,文献DOI怎么找? 1836917
邀请新用户注册赠送积分活动 904792
科研通“疑难数据库(出版商)”最低求助积分说明 822574