Scholarlink

<p>Artificial intelligence (AI) in hospitality is often portrayed as a cold, efficiency-focused tool, overlooking its potential to mediate emotional and ethical dynamics in the workplace. This study addresses the problem of how AI can ethically regulate emotional labor without dehumanizing work, and how emotional reciprocity contributes to workplace happiness. Using a quantitative, multigroup survey methodology, data were collected from 754 hospitality employees and 42 managers across hotels in Spain. Structural equation modeling examined the mediating role of AI-mediated emotional reciprocity (AI-MER) between emotional labor sustainability (ELS), shared prosperity (SP), human-centered leadership, and workplace happiness. Findings reveal that ELS is a foundational anchor enabling AI to mediate ethics effectively, and SP strongly predicts employee responsiveness, demonstrating that fairness and inclusion are prerequisites for ethical AI governance. Managerial practices include embedding emotional labor monitoring into AI systems to prevent burnout and aligning AI interventions with transparent, equitable organizational policies to foster trust. Future research could explore cultural variations in AI-mediated emotional reciprocity and the long-term effects of AI-MER on employee retention and guest satisfaction. This study advances the conceptualization of AI as a moral–emotional mediator, transforming ethical principles into actionable, systemic workplace practices in hospitality.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Artificial intelligence as a moral mediator: emotional reciprocity driving happiness in hospitality

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年3月24日

查看全文
  • Rafael Robina-Ramírez,
  • Ana Leal-Solís,
  • Aloysius O S B Roets

摘要

Artificial intelligence (AI) in hospitality is often portrayed as a cold, efficiency-focused tool, overlooking its potential to mediate emotional and ethical dynamics in the workplace. This study addresses the problem of how AI can ethically regulate emotional labor without dehumanizing work, and how emotional reciprocity contributes to workplace happiness. Using a quantitative, multigroup survey methodology, data were collected from 754 hospitality employees and 42 managers across hotels in Spain. Structural equation modeling examined the mediating role of AI-mediated emotional reciprocity (AI-MER) between emotional labor sustainability (ELS), shared prosperity (SP), human-centered leadership, and workplace happiness. Findings reveal that ELS is a foundational anchor enabling AI to mediate ethics effectively, and SP strongly predicts employee responsiveness, demonstrating that fairness and inclusion are prerequisites for ethical AI governance. Managerial practices include embedding emotional labor monitoring into AI systems to prevent burnout and aligning AI interventions with transparent, equitable organizational policies to foster trust. Future research could explore cultural variations in AI-mediated emotional reciprocity and the long-term effects of AI-MER on employee retention and guest satisfaction. This study advances the conceptualization of AI as a moral–emotional mediator, transforming ethical principles into actionable, systemic workplace practices in hospitality.