Impact Of Artificial Intelligence On Hospitality Industry
The hospitality industry stands at the top at the new digital world which is called Artificial Intelligence (AI). This paper explores the challenges and opportunities associated with AI. The research illuminates the potential for AI to redefine aspect of the hospitality experience, from augmenting customer interactions to refining service delivery and creating economic growth. It examines the potential for AI to fulfill the hospitality industry with unprecedented levels of efficiency and personalised service while also addressing the complexities introduced by this digital evolution. The move towards AI is not without its obstructions. Technological constraints, such as the significant investment required for the deployment of AI and the compatibility with existing systems, pose substantial barriers. Cultural resistance emerges from a workforce accustomed to traditional service norms, and ethical dilemmas surface over customer data use and machine-based interactions’ impersonal nature. This research delineates these impediments, offering a panoramic view of the intricate dynamics. In dissecting the nuances of AI adoption, the study first harnesses a comprehensive literature review to pinpoint the pivotal factors at play. These variables are then intricately modelled through Total Interpretive Structural Modeling (TISM) analysis, which unravels the interdependencies and assigns a hierarchy based on driving and dependence power. Its implementation requires a subtle approach that mitigates the identified challenges. In the wake of this analytical journey, the paper culminates with strategic recommendations designed to steer industry stakeholders through the AI adoption process. These recommendations stress the importance of a balanced approach that harnesses the strengths of AI to complement and enhance the human elements intrinsic to hospitality. This includes investing in employee training to work alongside AI tools, adopting transparent data practices to maintain customer trust, and fostering an organizational culture that embraces technological innovation while valuing human engagement.
Institutions
- Department of Commerce (AU)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-02-27
- DOI
- https://doi.org/10.5281/zenodo.14936377
- Primary Topic
- AI in Service Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00