AI and the future of talent management in tourism and hospitality
Dados Bibliográficos
| ID | 21698657 |
|---|---|
| Autores | Georges El Hajal (0000-0001-7929-8943, University of Groningen, autor correspondente), Ian Yeoman (0000-0003-0860-5584, Hotel Management School Leeuwarden, NHL Stenden University, Leeuwarden, the Netherlands) |
| Ano | 2024 |
| Páginas | 1-18 |
| Data de publicação | 2024-12-10 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Current Issues in Tourism (JOURNAL) |
| Identificadores do periódico | ISSN: 1368-3500 • E-ISSN: 1747-7603 |
| Editora | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/13683500.2024.2439395 |
| OpenAlex | W4405257988 |
| Idioma | EN |
| Citações recebidas | 9 |
| Referências citadas | 61 |
This exploratory study investigates artificial intelligence (AI) integration’s potential impact on the future of talent management in tourism and hospitality. Using the scenario planning method and Dator’s Alternative Futures Framework, four 2035 alternative scenarios were constructed. These scenarios served as a foundation for 3 group and 30 individual scenario-planning sessions with international industry experts and academics, epistemologically aligning the process with exploring the uncertain future of AI. The thematic analysis of the data underscored the importance of balanced integration that enhances rather than replaces human roles. Ethical considerations, the human-centric essence of tourism and hospitality, and the need for ongoing education and skill development in response to AI advancements were considered central. This study’s novel contribution is a conceptual framework to guide AI integration in tourism and hospitality talent management, contributing to the theoretical and practical understanding of AI’s role in talent management
Business · Economics · Exploratory research · Futures contract · Hospitality · Hospitality industry · Hospitality management studies · Knowledge management · Management · Management science · Political science · Process management · Qualitative research · Scenario planning · Sociology · Talent Management · Thematic analysis · Tourism · AI and HR Technologies · Computer Science · Employer Branding and e-HRM · Engineering · Human Resource and Talent Management · Marketing
A Gendered Lens to Platformisation in Tourism and Hospitality
Cultivating holistic tourism talent
AI awareness and work withdrawal in hotel enterprises
Reimagining travel memories
Influence of AI on usage intention in tourism and hospitality education
The Role of Artificial Intelligence in Smart Tourism
Towards strategic implementation of human-AI collaboration
Smart Cultural Curations
Leadership networks
Jim Dator: A Noticer in Time
The rise of artificial intelligence – understanding the AI identity threat at the workplace
On Defining Artificial Intelligence
A Brief History of Artificial Intelligence
The Challenges of Algorithm-Based HR Decision-Making for Personal Integrity
Does artificial intelligence improve hospitality employees’ individual competitive productivity? A time-lagged moderated-mediation model involving job crafting and meaningful work
Artificial intelligence’s impact on hospitality and tourism marketing
Working with artificial intelligence surveillance during the Covid-19 pandemic
Artificial intelligence overdependence in tourism
The future of tourism and hospitality labour
Appreciation in hospitality workplaces, a job characteristics model application from a Generation Z perspective
The future of tourism work
Artificial intelligence in hospitality and tourism. State of the art and future research avenues
Artificial Intelligence and Public Human Resource Management
Artificial intelligence and innovation management
Forecasting AI progress
AI-Augmented HRM
How Technology Is Changing Work and Organizations
The Effects of Scenario Planning on Participant Perceptions of Creative Organizational Climate
The role of constructivist learning in scenario planning
Spectrum of AI futures imaginaries by AI practitioners in Finland and Singapore
Combining scenario planning and business wargaming to better anticipate future competitive dynamics
The transformative potential of artificial intelligence
Examining the differential risk from high-level artificial intelligence and the question of control
| Obras citantes distintas | 9 |
|---|---|
| Citações por ano | 9 |
| Intervalo de citações | 2025 - 2026 (2) |
| Velocidade de citação | current |
| Altamente citado | Não |
| Tipos de citação | Neutras: 9 |