How does emotional labor influence restaurant employees’ service quality during COVID-19? The roles of work fatigue and supervisor–subordinate Guanxi

关系 情感劳动 服务质量 业务 心理学 服务(商务) 独创性 质量(理念) 营销 社会心理学 中国 创造力 政治学 认识论 哲学 法学
作者
Tung‐Ju Wu,Ruoxi Zhang,Jia‐Min Li
出处
期刊:International Journal of Contemporary Hospitality Management [Emerald (MCB UP)]
卷期号:36 (1): 136-154 被引量:43
标识
DOI:10.1108/ijchm-09-2022-1060
摘要

Purpose This study aims to test the relationship between emotional labor and service quality of the frontline employees of Chinese restaurants during the coronavirus disease pandemic (COVID-19). This study further investigated the mediating role of work fatigue (WF) and the moderating role of supervisor–subordinate Guanxi (SSG). Design/methodology/approach The authors used a time-lag approach to gather data from a sample of 365 frontline staff members working in Chinese restaurants. All hypotheses were tested using SPSS and AMOS. Findings First, restaurant frontline employees’ deep acting was associated with higher service quality, whereas surface acting leads to lower service quality. Second, WF mediated the relationship between emotional labor and service quality. Third, SSG moderated the impact of emotional labor on WF during COVID-19. Research limitations/implications All variables measured in this study were self-reported by restaurant frontline employees, which may increase the risk of common-method bias. However, this study enriches the literature on emotional labor, WF and SSG during COVID-19. Practical implications COVID-19 has severely affected the hotel, restaurant and catering sector and especially the psychological state and the work performance of frontline employees. Restaurant managers should implement some measures to improve employees’ service quality during COVID-19. Originality/value The present findings show that restaurant frontline employees adopted various emotional labor strategies when they were faced with higher than usual job demands and the risk of infection during COVID-19.
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
吕方发布了新的文献求助10
刚刚
1秒前
量子星尘发布了新的文献求助10
1秒前
orixero应助葛优采纳,获得10
2秒前
ldy发布了新的文献求助10
2秒前
2秒前
量子星尘发布了新的文献求助10
2秒前
3秒前
3秒前
3秒前
4秒前
xxx发布了新的文献求助10
4秒前
陈丰滢完成签到,获得积分10
4秒前
kk发布了新的文献求助10
4秒前
4秒前
专注的惮完成签到,获得积分10
5秒前
5秒前
Li发布了新的文献求助10
5秒前
情怀应助sui采纳,获得30
5秒前
复杂妙海完成签到,获得积分10
6秒前
qin123发布了新的文献求助10
6秒前
l1718发布了新的文献求助10
6秒前
青雉流云完成签到,获得积分10
6秒前
6秒前
美好斓发布了新的文献求助10
7秒前
憨憨发布了新的文献求助10
7秒前
勤劳新烟发布了新的文献求助10
7秒前
李爱国应助wenhao采纳,获得10
7秒前
aimer发布了新的文献求助10
8秒前
8秒前
dreamland完成签到,获得积分10
8秒前
顾矜应助小胡同学采纳,获得10
8秒前
blind完成签到,获得积分20
9秒前
9秒前
飘逸的听露完成签到 ,获得积分10
9秒前
zhonglv7应助芝士采纳,获得10
9秒前
zhonglv7应助芝士采纳,获得10
9秒前
10秒前
所所应助mio采纳,获得200
10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
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Russian Foreign Policy: Change and Continuity 800
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
Superabsorbent Polymers 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5709779
求助须知:如何正确求助?哪些是违规求助? 5196481
关于积分的说明 15258245
捐赠科研通 4862424
什么是DOI,文献DOI怎么找? 2610141
邀请新用户注册赠送积分活动 1560472
关于科研通互助平台的介绍 1518157