Tan, Kim-Lim, Hofman, Peter S., Noor, Nurhafihz, Tan, Sook-Rei, Hii, Ivy S.H., and Cham, Tat-Huei (2024) Does artificial intelligence improve hospitality employees’ individual competitive productivity? A time-lagged moderated-mediation model involving job crafting and meaningful work. Current Issues in Tourism. (In Press)

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Abstract

Artificial intelligence (AI) continues to transform the hospitality industry. While adopting AI can lead to employee anxiety, less is known about how these affected employees can benefit and become more competitive. This study advances the challenge-hindrance framework in the AI context to investigate how employees respond to the advances of these technologies and the resulting changes in their competitive productivity. Data collected from 235 employees in the hospitality industry through a two-wave method was analysed using PLS-SEM. Findings indicate that although the advancement of AI leads to workplace anxiety, such innovation can trigger job crafting through the conservation of resources theory. These effects can positively impact competitiveness and productivity, particularly for employees who find their work meaningful. This study extends the challenge-hindrance framework and offers guidance for the hospitality industry to better integrate AI for service professionals to become more competitive and productive.

Item ID:	83449
Item Type:	Article (Research - C1)
ISSN:	1747-7603
Keywords:	challenge-hindrance framework; artificial intelligence; meaningful work; job crafting; individual competitive productivity
Copyright Information:	© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
Date Deposited:	14 Aug 2024 03:09
FoR Codes:	46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460299 Artificial intelligence not elsewhere classified @ 50% 35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES > 3505 Human resources and industrial relations > 350503 Human resources management @ 50%
SEO Codes:	28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280106 Expanding knowledge in commerce, management, tourism and services @ 100%
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