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Applying partial least squares in tourism and hospitality research /

Ten chapters discuss key aspects of advanced PLS analysis and its practical applications, covering new guidelines and improvements in the use of PLS-PM as well as various individual topics.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Ali, Faizan (Editor ), Rasoolimanesh, S. Mostafa (Editor ), Cobanoglu, Cihan (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bingley, UK : Emerald Publishing Limited, [2019]
Edición:First edition.
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Applying partial least squares in tourism and hospitality research /  |c editors: Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu. 
250 |a First edition. 
264 1 |a Bingley, UK :  |b Emerald Publishing Limited,  |c [2019] 
300 |a 1 online resource 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
505 0 |a Cover; Title; Copyright; Contents; Preface; References; Foreword; References; About the Authors; Chapter 1 Minimum Sample Size Estimation in PLS-SEM: An Application in Tourism and Hospitality Research; Introduction; Illustrative Study; Power, Effect Size, and Minimum Sample Size; The Monte Carlo Simulation Method; Classic Methods: 10-Times Rule and Minimum R2; The 10-Times Rule Method; The Minimum R2 Method; New Methods: Inverse Square Root and Gamma-Exponential; The Inverse Square Root Method; The Gamma-Exponential Method; The New Methods in WarpPLS 
505 8 |a Minimum Sample Size Estimation After Data Collection and AnalysisMinimum Sample Size Estimation Before Data Collection and Analysis; Discussion and Conclusion; Acknowledgments; References; Chapter 2 New Guidelines for the Use of PLS Path Modeling in Hospitality, Travel, and Tourism Research; 1. Introduction; 2. Partial Least Squares Path Modeling; 3. The Use of PLS-PM in Different Types of HTT Research; 3.1. Causal Research; 3.2. Predictive Research; 3.3. Descriptive Research; 3.4. Exploratory Research; 4. Discussion and Implications; Notes; References 
505 8 |a Chapter 3 Predictions from Partial Least Squares Models1. Introduction; 2. How to Predict from PLS Models; 2.1. Generating Predictions from PLS-PM; 2.2. Earliest Versus Direct Antecedents Approaches; 3. Evaluating Predictions from PLS Models; 3.1. In-sample Versus Out-of-sample; 3.2. Cross Validation; 3.3. Predictive Metrics; 3.4. Benchmarks; 4. Evaluating Predictive Performance; 5. Using PLSpredict (An Empirical Example); 5.1. Predictive Value of Model; 5.2. Predictive Value of Proposed Versus Alternative Models; 5.3. Evaluating the Prediction Residuals; 5.4. Predictive Validity 
505 8 |a 5.5. Discussion of Empirical Example6. Looking Ahead; Acknowledgments; References; Chapter 4 PLS Path Modeling in Hospitality and Tourism Research: The Golden Age and Days of Future Past; 1. Introduction; 2. Recent Advances in PLS-PM; 2.1. Consistent PLS (PLSc); 2.2. Hierarchical Component Analysis; 2.3. Nonlinear Analysis; 2.4. Multigroup Analysis; 2.5. Moderation-Mediation Analysis; 2.6. Unobserved Heterogeneity; 2.7. Confirmatory Tetrad Analysis (CTA-PLS); 2.8. PLS Predict; 2.9. Importance-Performance Map Analysis; 3. Methodology 
505 8 |a 4. Critical Issues in the Use of PLS-PM in Hospitality and Tourism Research4.1. Reasons for Using PLS-PM; 4.2. Model Descriptive Statistics; 4.3. Sampling Characteristics; 4.4. Technical Reporting; 4.5. Reported Formative Measurement Metrics; 4.6. Reported Reflective Measurement Metrics; 4.7. Reported Structural Model Metrics; 4.8. Additional Considerations and Supplementary Analyses; 4.9. How to Improve the Use of PLS-PM in Future; 5. Conclusions; References; Chapter 5 Hotel Employees' Use of Smartphones and Performance: Reflective-Formative Estimation Approach; Introduction 
500 |a Literature Review and Theory Development 
520 |a Ten chapters discuss key aspects of advanced PLS analysis and its practical applications, covering new guidelines and improvements in the use of PLS-PM as well as various individual topics. 
588 0 |a Online resource; title from digital title page (viewed on January 03, 2019). 
590 |a Emerald Insight  |b Emerald All Book Titles 
650 0 |a Hospitality industry  |x Research. 
650 6 |a Accueil (Tourisme)  |x Recherche. 
650 7 |a MATHEMATICS  |x General.  |2 bisacsh 
650 7 |a Hospitality industry  |x Research.  |2 fast  |0 (OCoLC)fst00961155 
650 7 |a Least squares.  |2 fast  |0 (OCoLC)fst00995082 
650 7 |a Structural equation modeling.  |2 fast  |0 (OCoLC)fst01738928 
650 7 |a Tourism  |x Mathematical models.  |2 fast  |0 (OCoLC)fst01153182 
700 1 |a Ali, Faizan,  |e editor. 
700 1 |a Rasoolimanesh, S. Mostafa,  |e editor. 
700 1 |a Cobanoglu, Cihan,  |e editor. 
776 0 8 |i Print version:  |a Ali, Faizan.  |t Applying Partial Least Squares in Tourism and Hospitality Research.  |d Bingley : Emerald Publishing Limited, ©2018  |z 9781787567009 
856 4 0 |u https://emerald.uam.elogim.com/insight/publication/doi/10.1108/9781787566996  |z Texto completo 
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