Does artificial intelligence improve hospitality employees' individual competitive productivity? A time-lagged moderated-mediation model involving job crafting and meaningful work

被引：2

作者：

Tan, Kim-Lim ^{[1
]}

Hofman, Peter S. ^{[1
]}

Noor, Nurhafihz ^{[1
]}

Tan, Sook-Rei ^{[1
]}

Hii, Ivy S. H. ^{[2
]}

Cham, Tat-Huei ^{[3
,4
,5
,6
]}

机构：

[1] James Cook Univ, JCUS Business Sch, Singapore, Singapore

[2] Curtin Univ Malaysia, Fac Business, Miri, Malaysia

[3] UCSI Univ, UCSI Grad Business Sch, Kuala Lumpur, Malaysia

[4] Tashkent State Univ Econ, Tashkent, Uzbekistan

[5] Krirk Univ, Int Coll, Bangkok, Thailand

[6] Univ Multimedia Nusantara, Tangerang, Indonesia

来源：

CURRENT ISSUES IN TOURISM | 2024年

关键词：

Challenge-hindrance framework; artificial intelligence; meaningful work; job crafting; individual competitive productivity; PLS-SEM; CONSERVATION; MOTIVATION; RESOURCES;

D O I：

10.1080/13683500.2024.2391114

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页数：18