Mitigating the Impact of Cyberloafing on Employee Performance in the Hospitality and Tourism Industry: Roles of Human-AI Collaboration and Mindfulness

Document Type : Original Article

Authors

1 Tourism Studies Department, Faculty of Tourism and Hotels, Mansoura University, Egypt

2 Hospitality Management Department, High Institute of Tourism and Hotels at 6th of October City, Egypt

3 Tourism Studies Department, Faculty of Tourism and Hotels, Helwan University, Egypt

4 Tourism Studies Department, Higher Inistitute of Tourism and Hotels, King Mariot, Egypt

Abstract

Guided by the job demands-resources (JD-R) model, this study sought to investigate the impact of cyberloafing behaviors on employees' job performance. Furthermore, it explored the moderating influence of human-AI collaboration and employee mindfulness on this relationship. Data were collected from a sample of 311 reservation employees working within category A travel agencies and five-star hotels in Egypt. Employing a quantitative research design, structural equation modeling (SEM-PLS) was utilized via WarpPLS v.7 to analyze the collected data. The findings revealed a significant negative impact of cyberloafing behaviors on employee job performance. Moreover, the study confirmed the moderating roles of human-AI collaboration and mindfulness, demonstrating their ability to lessen the adverse effects of employee cyberloafing on their job performance. This research contributes to the existing body of literature by providing empirical evidence of the potential negative consequences of cyberloafing on employee performance, specifically within the hospitality and tourism sector. It also offers valuable insights for organizations considering the adoption of human-AI collaboration and mindfulness as mechanisms to mitigate the detrimental effects of cyberloafing behaviors on employee performance.

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