CUTTING EDGE RESEARCH METHODS IN HOSPITALITY AND TOURISM

Cutting Edge Research Methods in Hospitality and Tourism sits at the forefront of fast-paced developments in the tourism and hospitality industry, highlighting the importance of applied and pure research to address the theoretical and practical problems and gaps.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico eBook
Idioma:Inglés
Publicado: [S.l.] : EMERALD GROUP PUBL, 2023.
Temas:
Tourism > Research > Methodology.
Hospitality industry > Research > Methodology.
Tourism industry.
Business & Economics > Industries > Hospitality, Travel & Tourism.
Electronic books.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Intro
  • Half Title Page
  • Title Page
  • Copyright Page
  • Contents
  • List of Figures and Tables
  • About the Contributors
  • Chapter 1: Introduction
  • References
  • Chapter 2: Which SEM to Use and What to Report? A Comparison of CB-SEM and PLS-SEM
  • 1. Introduction
  • 2. Literature Review
  • 2.1. Why Use SEM?
  • 2.2. The Two Types of SEM
  • 2.3. Choosing Between CB-SEM and PLS-SEM
  • 2.3.1. Philosophy of Measurement
  • 2.3.2. The Aim of the Analysis: To Explain Or to Predict?
  • 2.3.3. The Measurement of Constructs: Reflective, Formative, and Composite Measurement
  • 2.3.4. Data Distribution
  • 2.3.5. Sample Size
  • 2.3.6. Secondary or Archival Data
  • 2.3.7. Statistical Power
  • 2.3.8. Model Complexity
  • 2.3.9. Goodness-of-Fit
  • 2.3.10. Single-item Constructs
  • 2.3.11. Metric Versus Non-metric Data
  • 2.3.12. Additional Considerations
  • 2.4. Guidelines for Applying CB-SEM
  • 2.5. Guidelines for Applying PLS-SEM
  • 3. Conclusion
  • References
  • Chapter 3: Using PLS-SEM to Test for the Moderation Effects of Continuous Variables in Hospitality and Tourism Studies
  • Introduction
  • Applying the Product Term Method in PLS-SEM and Interpreting Results
  • An Example in Hospitality and Tourism Research
  • Extending the Product Term Method in PLS-SEM: The Two-step and Orthogonalizing Approaches and their Applications in Hospitality and Tourism
  • Conclusion and Recommendations
  • References
  • Appendix
  • Chapter 4: Econometric Analysis in Hospitality and Tourism Management
  • 1. Introduction
  • 2. Basic Econometric Models
  • 2.1. Cross-sectional Models
  • 2.2. Time-series Models
  • 2.3. Panel Data Models
  • 3. Major Topics in Econometrics
  • 3.1. Endogeneity
  • 3.2. Multi-equation Modeling
  • 3.3. Causal Inference Modeling
  • 3.4. Spatial Econometrics
  • 4. Major Application Issues
  • 4.1. Variable Selection
  • 4.2. Non-linear Effect
  • 4.3. Coefficient Interpretation
  • 4.4. Estimation of Standard Errors
  • 4.5. Sample Selection, Clustering, and Outliers
  • 5. Conclusions and Recommendations
  • References
  • Chapter 5: Tourism Growth, Income Inequality and the Dependence Between Their Quantiles: Evidence from Quantile on Quantile Approach
  • 1. Introduction
  • 2. Literature Review
  • 3. Data
  • 4. Methodology
  • 5. Empirical Results
  • 5.1. QnQ Approach Estimation
  • 5.2. Validation of the QQR Technique
  • 6. Conclusion and Policy Implications
  • References
  • Chapter 6: Network Analysis in Tourism and Hospitality: A Comprehensive Review
  • 1. Introduction
  • 2. SNA: Nuclear Concepts and Definitions
  • 3. The Use of SNA in Tourism and Hospitality Studies
  • 3.1. The Role of Networks in Tourism and Hospitality
  • 3.2. Existing Studies and Approaches
  • 4. How to Develop SNA in Tourism and Hospitality Studies: A Practical Application to Tourism Innovation Network of Douro, Portugal
  • 4.1. Step 1: Defining the Population, Sampling, and Collecting Data
  • 4.2. Step 2: Computing Data

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