How does AI awareness affect employees’ voice behavior in the service industry? A transactional theory of stress perspective

员工声音 心理学 情感(语言学) 特质 第三产业 交易型领导 独创性 社会心理学 自我效能感 营销 业务 创造力 计算机科学 沟通 程序设计语言
作者
Changqing He,Huyun Xiong,Wenjun Cai,Jun Song
出处
期刊:International Journal of Contemporary Hospitality Management [Emerald (MCB UP)]
被引量:4
标识
DOI:10.1108/ijchm-04-2024-0618
摘要

Purpose This study aims to explore the impacts of service industry employees’ AI awareness on their voice behavior while also considering the dual mediating roles of voice efficacy and job insecurity, as well as the moderating role of trait competitiveness. Design/methodology/approach The sample comprises data from a two-wave longitudinal survey of 203 employees in the service sector. This study examined all the hypotheses using Mplus 8.0. Findings This study confirms that service sector employees’ AI awareness has significant negative effects on both promotive and prohibitive voice behaviors. Voice efficacy can mediate the negative impact of AI awareness on promotive voice. Both voice efficacy and job insecurity can mediate the negative impact of AI awareness on prohibitive voice. Furthermore, employees’ trait competitiveness can weaken the negative impact of employees’ AI awareness on their voice efficacy. Practical implications Managers should first investigate employees’ AI awareness and then adopt targeted managerial strategies to promote their voice behavior. Originality/value This study contributes to the literature related to the consequences of AI awareness by linking AI awareness to employee voice behavior. Furthermore, this study deepens our understanding of how AI awareness affects employee voice behavior by proposing voice efficacy (i.e. the efficacy pathway) and job insecurity (i.e. the safety pathway) as key mediating mechanisms. Moreover, this study advances our understanding of when AI awareness influences employee voice behavior by identifying the moderating role of trait competitiveness.
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
687发布了新的文献求助10
1秒前
1秒前
量子星尘发布了新的文献求助10
1秒前
1秒前
猪头完成签到 ,获得积分10
1秒前
jia发布了新的文献求助10
3秒前
sssss完成签到 ,获得积分10
3秒前
3秒前
哈哈嘻嘻完成签到,获得积分10
3秒前
奶昔发布了新的文献求助10
4秒前
mrmrer完成签到,获得积分10
4秒前
Baibai发布了新的文献求助10
4秒前
4秒前
Ammon发布了新的文献求助10
5秒前
你大米哥完成签到 ,获得积分0
5秒前
才是自由完成签到,获得积分20
5秒前
5秒前
Cruffin发布了新的文献求助10
5秒前
NexusExplorer应助tan90采纳,获得10
6秒前
猪头关注了科研通微信公众号
6秒前
guangshuang发布了新的文献求助10
6秒前
贤惠的爆米花完成签到,获得积分10
7秒前
8秒前
linhongwei完成签到,获得积分10
8秒前
英姑应助Jared采纳,获得10
9秒前
善学以致用应助催催催采纳,获得10
10秒前
12138发布了新的文献求助10
11秒前
勾勾完成签到 ,获得积分10
11秒前
12秒前
可爱迷人的反派角色完成签到,获得积分10
12秒前
13秒前
mqq发布了新的文献求助10
13秒前
量子星尘发布了新的文献求助10
14秒前
陌上发布了新的文献求助10
14秒前
乐进完成签到,获得积分10
14秒前
15秒前
SciGPT应助OVO采纳,获得10
16秒前
17秒前
asir_xw发布了新的文献求助10
17秒前
18秒前
高分求助中
(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
List of 1,091 Public Pension Profiles by Region 1001
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
On the application of advanced modeling tools to the SLB analysis in NuScale. Part I: TRACE/PARCS, TRACE/PANTHER and ATHLET/DYN3D 500
L-Arginine Encapsulated Mesoporous MCM-41 Nanoparticles: A Study on In Vitro Release as Well as Kinetics 500
Washback Research in Language Assessment:Fundamentals and Contexts 400
Haematolymphoid Tumours (Part A and Part B, WHO Classification of Tumours, 5th Edition, Volume 11) 400
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5469224
求助须知:如何正确求助?哪些是违规求助? 4572331
关于积分的说明 14335257
捐赠科研通 4499207
什么是DOI,文献DOI怎么找? 2464985
邀请新用户注册赠送积分活动 1453533
关于科研通互助平台的介绍 1428051