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!

Competition or collaboration for human–robot relationship: a critical reflection on future cobotics in hospitality

款待 知识管理 酒店业 机器人 业务 社会学 计算机科学 人工智能 旅游 政治学 法学
作者
Do The Khoa,Huy Gip,Priyanko Guchait,Chen‐Ya Wang
出处
期刊:International Journal of Contemporary Hospitality Management [Emerald Publishing Limited]
卷期号:35 (6): 2202-2215 被引量:87
标识
DOI:10.1108/ijchm-04-2022-0434
摘要

Purpose The hospitality industry has recently witnessed explosive growth in robotization with the replacement of robots in many areas. Yet, a key consideration in this robotics wave is whether competition (i.e. robots take over all human tasks) or collaboration (i.e. humans collaborate closely with robots to perform work better) will define the future of the hospitality workspace. The purpose of this paper is to shed light on this controversial issue by taking a collaborative perspective to address the future human–robot relationship in hospitality workplace (i.e. cobotic team). Design/methodology/approach Drawing upon relevant theories and extant robotics literature, this paper will develop a critical reflection on the management of future cobotic team as a new phenomenon in hospitality industry. Findings The successful management of cobotics in hospitality lies in three interrelated key domains: feeling intelligence training for frontline employees, ethics governance for cobotics and trust building toward robot partners. Practical implications How to manage this cobotic team efficiently will be a focus for hospitality managers in the coming years. This paper offers several managerial insights for hospitality managers and practitioners regarding effectively managing the future collaboration between humans and robots within a dynamic work environment. Originality/value This study addresses cobotics as a critical yet unaddressed shift in the contemporary hospitality sector and proposes a framework highlighting three key domains for managing this cobotic team effectively. This framework also sets the direction to encourage more future empirical research exploring cobotic workforce in hospitality.
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
桐桐应助赵凯丽采纳,获得10
刚刚
香蕉觅云应助seeU采纳,获得10
刚刚
机器猫nzy发布了新的文献求助10
1秒前
机器猫nzy发布了新的文献求助10
2秒前
机器猫nzy发布了新的文献求助10
2秒前
机器猫nzy发布了新的文献求助10
2秒前
机器猫nzy发布了新的文献求助10
2秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
机器猫nzy发布了新的文献求助10
3秒前
SciGPT应助Shaohan采纳,获得10
7秒前
yangjian发布了新的文献求助10
7秒前
雪白丹雪发布了新的文献求助10
9秒前
669209352完成签到 ,获得积分10
9秒前
大橙子完成签到,获得积分10
12秒前
12秒前
ding应助某叶道采纳,获得30
14秒前
16秒前
kklove完成签到,获得积分10
17秒前
19秒前
hhhh发布了新的文献求助10
21秒前
绾君发布了新的文献求助10
22秒前
江子川发布了新的文献求助10
23秒前
斯文败类应助小罗同学采纳,获得10
25秒前
沉默的从波完成签到,获得积分10
27秒前
31秒前
hsj完成签到,获得积分10
31秒前
Saunak完成签到,获得积分10
37秒前
38秒前
aab完成签到,获得积分20
39秒前
41秒前
Anonymous应助江子川采纳,获得20
43秒前
aab发布了新的文献求助20
44秒前
46秒前
47秒前
Ruo完成签到 ,获得积分10
52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
Principles of town planning: translating concepts to applications 1000
Navigating Normative Orders. Interdisciplinary Perspectives 800
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 7738612
求助须知:如何正确求助?哪些是违规求助? 9287687
关于积分的说明 20184505
捐赠科研通 7316520
什么是DOI,文献DOI怎么找? 3305931
关于科研通互助平台的介绍 2458263
邀请新用户注册赠送积分活动 2315794