Quantitative Tourism Research in Asia [electronic resource] : Current Status and Future Directions /
Rezaei, Sajad.editor.
The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the tourism literature by discussing the past, current and future quantitative data analysis methods. The book offers new insights into well-established research techniques such as regression analysis, but goes beyond first generation data analysis techniques to introduce methods seldom - if ever - used in tourism and hospitality research. In addition to investigating existing and novel research techniques, the book suggests areas for future studies. In order to achieve its objectives the analysis is split into three main sections: understanding the tourism industry in Asia; the current status of quantitative data analysis; and future directions for Asian tourism research.
1. Quantitative methods, applications, and trends in Asian tourism research -- Part 1. Understanding Tourism Industry in Asia -- 2. Systematic reviews in Asia - Introducing the "PRISMA" protocol to tourism and hospitality scholars -- 3. The relationship between tourism industry and economic growth: A Panel Data Analysis for ASEAN member countries -- 4.Hospitality Competitiveness Index for Indian States & Union Territories using Multi-Criteria TOPSIS -- 5. Co-integration and causality analysis between tourism sector and GDP in Cambodia -- Part 2. Current Trends and Applications. 6. Regression Analysis with Dummy Variables: Innovation and Firm Performance in the Tourism Industry -- 7. Quantitative Dimension of India's Tourism Trajectory in the Post-Reform Era -- 8. A Quantitative Analysis of Intercultural Communication and Personality: The Case of Coffee Shop Consumers in Cambodia -- 9. Structural Equation Modelling with Path Analysis: Antecedents of Corporate Commitment to Sustainable Tourism -- 10. Partial Least Squares Structural Equation Modeling in Asian Tourism and Hospitality Research - A Systematic Review -- 11. Structural Equation Modelling with Second-order Confirmatory Factor Analysis: Critical Factors Influencing Consumer Behavior in Medical Tourism -- Part 3. Future Directions. 12. Positive and Negative Perceptions of Residents toward Tourism Development: Formative or Reflective -- 13. Vector Autoregressive Models with Multivariate Time Series: Spillovers of International Tourist Arrivals on a Local Economy -- 14. Beyond structural equation modelling in tourism research: fuzzy set/Qualitative Comparative Analysis (fs/QCA) and Data Envelopment Analysis (DEA) -- 15. Ethical Considerations in Quantitative Research: A Guide for Tourism and Hospitality Researches.
The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the tourism literature by discussing the past, current and future quantitative data analysis methods. The book offers new insights into well-established research techniques such as regression analysis, but goes beyond first generation data analysis techniques to introduce methods seldom - if ever - used in tourism and hospitality research. In addition to investigating existing and novel research techniques, the book suggests areas for future studies. In order to achieve its objectives the analysis is split into three main sections: understanding the tourism industry in Asia; the current status of quantitative data analysis; and future directions for Asian tourism research.
Tourism.
Sociology-Research.
Ethnology-Asia.
Statistics.
Tourism Management.
Research Methodology.
Asian Culture.
Statistics for Social Sciences, Humanities, Law.