{"title":"Howdy, Robo-Partner: exploring artificial companionship and its stress-alleviating potential for service employees","authors":"Khanh Bao Quang Le, Charles Cayrat","doi":"10.1108/josm-09-2023-0408","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents can serve as companions, helping employees cope with work-related stress. This research introduces the concept of “artificial companionship,” which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their mental well-being.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This research uses a mixed methods approach grounded in social support theory from psychology and management to develop a conceptual framework for the stress-alleviating implications of artificial companionship. A qualitative employee survey is conducted to justify the relevance of the propositions.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>This research delineates the concept of artificial companionship. It highlights four distinct roles that AI can play in companionship – instrumental, informative, caring, and intimate. Building on this foundation, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees.</p><!--/ Abstract__block -->\n<h3>Practical implications</h3>\n<p>Firms should consider aligning the types of artificial companionship with the demands inherent in employees’ job responsibilities to better reinforce their resilience and sustainment in overcoming work-related challenges.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>This research introduces a new perspective on artificial companionship through the lens of social support theory. It extends the current understanding of human-robot collaboration in service workspaces and derives a set of propositions to guide future investigations.</p><!--/ Abstract__block -->","PeriodicalId":48089,"journal":{"name":"Journal of Service Management","volume":"376 1","pages":""},"PeriodicalIF":7.8000,"publicationDate":"2024-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Service Management","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/josm-09-2023-0408","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The emergence of new generations of artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave of innovation in the service workplace. These robotic agents can serve as companions, helping employees cope with work-related stress. This research introduces the concept of “artificial companionship,” which explains how robotic agents can function as partners in assisting service employees to fulfill their job responsibilities and maintain their mental well-being.
Design/methodology/approach
This research uses a mixed methods approach grounded in social support theory from psychology and management to develop a conceptual framework for the stress-alleviating implications of artificial companionship. A qualitative employee survey is conducted to justify the relevance of the propositions.
Findings
This research delineates the concept of artificial companionship. It highlights four distinct roles that AI can play in companionship – instrumental, informative, caring, and intimate. Building on this foundation, the research presents a series of propositions that elucidate the potential of artificial companionship in mitigating stress among employees.
Practical implications
Firms should consider aligning the types of artificial companionship with the demands inherent in employees’ job responsibilities to better reinforce their resilience and sustainment in overcoming work-related challenges.
Originality/value
This research introduces a new perspective on artificial companionship through the lens of social support theory. It extends the current understanding of human-robot collaboration in service workspaces and derives a set of propositions to guide future investigations.
期刊介绍:
The Journal of Service Management (JOSM) centers its scope on research in service management. It disseminates papers showcasing distinctive and noteworthy contributions to service literature, serving as a communication platform for individuals in the service management field, transcending disciplines, functional areas, sectors, and nationalities. The journal publishes double-blind reviewed papers emphasizing service literature/theory and its practical applications.