Catalyzing Green Work Engagement in Hotel Businesses: Leveraging Artificial Intelligence

Hazem Ahmed Khairy, Mohamed Ahmed, Arwa Asiri, Foziah Gazzawe, Mohamed A. Abdel Fatah, Naim Ahmad, Ayman Qahmash and Mohamed Fathy Agina ()
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Hazem Ahmed Khairy: Hotel Management Department, Faculty of Tourism and Hotels, University of Sadat City, Sadat City 32897, Egypt
Mohamed Ahmed: Hotel Management Department, Faculty of Tourism and Hotels, Fayoum University, Fayoum 63514, Egypt
Arwa Asiri: Faculty of Economics and Administration, Management Information System Department, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Foziah Gazzawe: College of Computing, Umm Al-Qura University, Makkah 24382, Saudi Arabia
Mohamed A. Abdel Fatah: Human Resources Department, Al-Alson Higher Institute for Tourism, Hotels and Computer, Cairo 11771, Egypt
Naim Ahmad: College of Computer Science, King Khalid University, Abha 62521, Saudi Arabia
Ayman Qahmash: College of Computer Science, King Khalid University, Abha 62521, Saudi Arabia
Mohamed Fathy Agina: Hotel Management Department, Higher Institute for Specific Studies, Heliopolis, Cairo 11771, Egypt

Sustainability, 2024, vol. 16, issue 16, 1-17

Abstract: This study explores green work engagement in response to the global demand for sustainability in businesses and the shift toward green-oriented agendas. Specifically, this study aims to examine how green work engagement (GWE) is affected by artificial intelligence awareness (AIA) through job stress (JS) as a mediator. It also explores the moderating roles of technological self-efficacy (TSE) in the AIA→JS relationship and trust in leadership (TIL) in the GWE→JS relationship. A PLS-SEM analysis was conducted on 392 valid replies from full-time employees of five-star hotels in Egypt using WarpPLS 7.0. The findings indicated that artificial intelligence awareness (AIA) negatively affects employees’ green work engagement (GWE) and positively affects job stress (JS). In addition, GWE is negatively affected by JS. Moreover, TSE negatively moderates the AIA→JS relationship, while TIL negatively moderates the JS→GWE relationship. The study also found a significant mediating effect of JS on the AIA→GWE relationship. The study enhances research on AIA’s impact on JS and GWE, addressing a gap in existing empirical studies on the relationship between these elements in hotels. Overall, the study of green work engagement has the potential to be a valuable contribution to the growing field of sustainable business practices.

Keywords: sustainability; green work engagement; artificial intelligence; technological self-efficacy; job stress; trust in leadership; hotel businesses (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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