Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
📌 3 Key Takeaways
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Objective & Hypothesis:The aim of this systematic literature review is to analyze the existing literature on the impact of artificial intelligence (AI) on employee work outcomes in the hospitality industry context.
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Key Findings & Data:Eighteen articles have been found in 12 journals and analyzed through deductive approach.
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Conclusion & Impact:Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
🔬Design:Review & Systematic Survey
📍Scope:Comprehensive Sample
⚙️Variables:artificial intelligence · systematic literature review · hospitality employees
Abstract
The aim of this systematic literature review is to analyze the existing literature on the impact of artificial intelligence (AI) on employee work outcomes in the hospitality industry context. This paper systematically reviews the association between AI and employee work outcomes through an extensive literature review of published peer-reviewed English articles. Eighteen articles have been found in 12 journals and analyzed through deductive approach. The findings were synthesized into three major themes: enablers or inhibitors of AI adoption, the type of AI-related technique, outcomes of AI adoption. Well-being, turnover intention, and job engagement were identified as the most significant and most commonly studied outcomes of AI adoption.
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