Employees’ perception of generative artificial intelligence and the dark side of work outcomes

IF 7.6 1区 管理学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM
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引用次数: 0

Abstract

Artificial intelligence (as well as generative AI) has been increasingly applied in the tourism and hospitality industry and has an important impact on the work behavior of practitioners. Drawing from the transactional theory of stress and coping, this study is to clarify the mechanism of potential negative impact of AI on the work outcomes of tourism and hospitality practitioners who use generative AI (GenAI) to assist their work. This study conducts in-depth interviews and thematic analysis to explore how the use of GenAI affects negative work behaviors among tourism and hospitality practitioners. The results show that employees’ technical fear towards AI is negatively associated with their sense of realism, self-investment, and habitual perception, but positively associated with the perceived threat of job intelligence to employment. Moreover, the technical fear towards AI can be positively associated with their transgression behavior. The findings of this study can be illuminating for helping tourism and hospitality organizations develop sustainable and healthy workplace guidelines.
员工对生成式人工智能和工作成果阴暗面的看法
人工智能(以及生成式人工智能)已越来越多地应用于旅游业和酒店业,并对从业人员的工作行为产生了重要影响。本研究借鉴压力与应对的交易理论,旨在阐明人工智能对使用生成式人工智能(GenAI)辅助工作的旅游业和酒店业从业人员的工作结果产生潜在负面影响的机制。本研究通过深入访谈和主题分析,探讨使用 GenAI 如何影响旅游业和酒店业从业人员的负面工作行为。结果显示,员工对人工智能的技术恐惧与他们的现实感、自我投资和习惯认知负相关,但与感知到的工作智能对就业的威胁正相关。此外,对人工智能的技术恐惧还与员工的越轨行为正相关。这项研究的结果对于帮助旅游和酒店业组织制定可持续和健康的工作场所准则具有启发性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
13.30
自引率
8.40%
发文量
177
审稿时长
45 days
期刊介绍: Journal Name: Journal of Hospitality and Tourism Management Affiliation: Official journal of CAUTHE (Council for Australasian Tourism and Hospitality Education Inc.) Scope: Broad range of topics including: Tourism and travel management Leisure and recreation studies Emerging field of event management Content: Contains both theoretical and applied research papers Encourages submission of results of collaborative research between academia and industry.
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