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Howdy, Robo-Partner: Exploring Artificial Companionship and Its Stress-Alleviating Potential for Service Employees

aut.relation.journalJournal of Service Management
dc.contributor.authorLe, Khanh Bao Quang
dc.contributor.authorCayrat, Charles
dc.date.accessioned2024-08-19T00:57:19Z
dc.date.available2024-08-19T00:57:19Z
dc.date.issued2024-08-20
dc.description.abstractPurpose 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.
dc.identifier.citationJournal of Service Management, ISSN: 1757-5818 (Print), Emerald. doi: 10.1108/josm-09-2023-0408
dc.identifier.doi10.1108/josm-09-2023-0408
dc.identifier.issn1757-5818
dc.identifier.urihttp://hdl.handle.net/10292/17901
dc.languageen
dc.publisherEmerald
dc.relation.urihttps://www.emerald.com/insight/content/doi/10.1108/JOSM-09-2023-0408/full/html
dc.rights© 2024, Emerald Publishing Limited. This AAM is provided for your own personal use only. It may not be used for resale, reprinting, systematic distribution, emailing, or for any other commercial purpose without the permission of the publisher.
dc.rights.accessrightsOpenAccess
dc.subject1503 Business and Management
dc.subject1505 Marketing
dc.subject1506 Tourism
dc.subjectMarketing
dc.subject3506 Marketing
dc.subject3507 Strategy, management and organisational behaviour
dc.titleHowdy, Robo-Partner: Exploring Artificial Companionship and Its Stress-Alleviating Potential for Service Employees
dc.typeJournal Article
pubs.elements-id566439

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