AI ethics in hospitality and tourism: theoretical perspectives, ethical beliefs, and actionable outcomes. [PDF]
Binesh N, Syah A.
europepmc +1 more source
ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source
Mapping Research Trends in AI-Based Tourism and Hospitality Marketing: A Bibliometric and Thematic Review. [PDF]
Tyagi PK +4 more
europepmc +1 more source
ABSTRACT Although ESG controversies are on the rise, research investigating them yields contradictory findings. The paper provides resolutions to the debate through investigating (a) how ESG controversies influence firms' short‐term and long‐term financial performance; (b) how firms navigate ESG controversies' effect; and (c) how ESG controversies ...
Amalesh Sharma +3 more
wiley +1 more source
Digital Footprint and Its Impact on Improving Customer Experience: An Exploratory Study of a Sample of Internet Companies in Nineveh Governorate. [PDF]
Al-Jubory ASSA +2 more
europepmc +1 more source
ABSTRACT Although firms that integrate a sustainability orientation (SO) may experience a significant improvement in their resource efficiency, many, particularly small‐ and medium‐sized enterprises (SMEs), still struggle with the complexities of incorporating sustainability into their business models.
Michael Adu Kwarteng +3 more
wiley +1 more source
From catwalk to kitchen: A qualitative study of luxury fashion companies' diversification into hospitality and restaurant sector. [PDF]
Luongo S +3 more
europepmc +1 more source
AI Self-Efficacy and Innovative Work Behavior in Hospitality and Tourism: A Job Demands-Resources Perspective on Work Engagement and Schedule I-Deals. [PDF]
Li X, Gong Z, Choi H, Kang SW.
europepmc +1 more source
The AI Revolution in Virtual Try-Ons: A Means-End Chain Model Perspective. [PDF]
Kang JM +5 more
europepmc +1 more source

