Advanced Research Methods in Hospitality and Tourism

Fevzi Okumus, S. Mostafa Rasoolimanesh, Shiva Jahani, Fevzi Okumus, S. Mostafa Rasoolimanesh, Shiva Jahani

• Editorial: Emerald Publishing Limited
• Año: 2022
• ISBN:
  9781801175524
• Categoría: Business
• Categoría: Hospitality, Travel & Tourism Industry

Rapid growth in the tourism and hospitality industry highlights the importance of applied and pure research to address the theoretical and practical problems and gaps facing the industry daily, from a multitude of perspectives – the economic, social, cultural, environmental, political, and technological. Advanced Research Methods in Hospitality and Tourism reviews traditional research methods, revising them to suit the contemporary problems and research agendas.

Developing recent research strategies under the umbrella of quantitative and qualitative research methods – such as the mixed-methods designs, analysing archival materials, online databases, text mining, and scientific qualitative analysis of social media historical data– can offer promising solutions.

In the era of technology and big data, advanced and innovative research methods and conducting effective research to solve emerging problems in tourism and hospitality is critical, making Advanced Research Methods in Hospitality and Tourism a necessity for academics and practitioners.

Índice

• Cover
• Endorsements
• Title
• Copyright
• Table of Contents
• List of Figures
• List of Tables
• About the Contributors
• Chapter 1 Introduction
• Chapter 2 A Critical View on Mixed-Method Approaches to Tourism and Hospitality Research
• Chapter 3 An Exploratory Sequential Mixed Methods Design: A Research Design for Small Tourism Enterprises in Ghana
• Chapter 4 Systematic Review of Scale Development Practices in the Field of Tourism and Hospitality
• Chapter 5 Using Neuromarketing Tools in Hospitality and Tourism Research
• Chapter 6 Using Archival Material in Tourism, Hospitality, and Leisure Studies: Beauty and the Beast
• Chapter 7 Tourism Online Reviews: Databases and Samples
• Chapter 8 Application of Text Mining Approaches in Hospitality and Tourism
• Chapter 9 Qualitative Analysis of Social Media Historical Data: A Case Study of Twitter and Tourism Boycotts
• Chapter 10 Photo-Elicitation Using Q-Method to Extract Group Sense of Place for a Marine Park in Borneo
• Chapter 11 Including the ‘Voices’ of Animals in Tourism, Hospitality, and Leisure Research
• Chapter 12 Conclusion
• Index