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.
Gespeichert in:
| Weitere Verfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Bingley, UK :
Emerald Publishing Limited,
[2019]
|
| Ausgabe: | First edition. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | 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. |
| Beschreibung: | Literature Review and Theory Development |
| Beschreibung: | 1 online resource |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781787567016 178756701X 9781787566996 1787566994 |
Internformat
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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). | |
| 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 | |
| 650 | 7 | |a Least squares |2 fast | |
| 650 | 7 | |a Structural equation modeling |2 fast | |
| 650 | 7 | |a Tourism |x Mathematical models |2 fast | |
| 700 | 1 | |a Ali, Faizan, |e editor. | |
| 700 | 1 | |a Rasoolimanesh, S. Mostafa, |e editor. | |
| 700 | 1 | |a Cobanoglu, Cihan, |e editor. |0 http://id.loc.gov/authorities/names/n2006060668 | |
| 758 | |i has work: |a Applying partial least squares in tourism and hospitality research (Text) |1 https://id.oclc.org/worldcat/entity/E39PCGMYYQcKKFpRvX3vQrfwRX |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 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 |
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| adam_text | |
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| author2 | Ali, Faizan Rasoolimanesh, S. Mostafa Cobanoglu, Cihan |
| author2_role | edt edt edt |
| author2_variant | f a fa s m r sm smr c c cc |
| author_GND | http://id.loc.gov/authorities/names/n2006060668 |
| author_facet | Ali, Faizan Rasoolimanesh, S. Mostafa Cobanoglu, Cihan |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | T - Technology |
| callnumber-label | TX911 |
| callnumber-raw | TX911 .A67 2019 |
| callnumber-search | TX911 .A67 2019 |
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| callnumber-subject | TX - Home Economics |
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| contents | 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 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 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 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 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 |
| ctrlnum | (OCoLC)1078569023 |
| dewey-full | 647.9407 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 647 - Management of public households |
| dewey-raw | 647.9407 |
| dewey-search | 647.9407 |
| dewey-sort | 3647.9407 |
| dewey-tens | 640 - Home and family management |
| discipline | Agrar-/Forst-/Ernährungs-/Haushaltswissenschaft / Gartenbau |
| edition | First edition. |
| format | Electronic eBook |
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| publisher | Emerald Publishing Limited, |
| record_format | marc |
| spelling | Applying partial least squares in tourism and hospitality research / editors: Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu. First edition. Bingley, UK : Emerald Publishing Limited, [2019] 1 online resource text txt rdacontent computer c rdamedia online resource cr rdacarrier Includes bibliographical references and index. 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 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 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 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 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 Literature Review and Theory Development 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. Online resource; title from digital title page (viewed on January 03, 2019). Hospitality industry Research. Accueil (Tourisme) Recherche. MATHEMATICS General. bisacsh Hospitality industry Research fast Least squares fast Structural equation modeling fast Tourism Mathematical models fast Ali, Faizan, editor. Rasoolimanesh, S. Mostafa, editor. Cobanoglu, Cihan, editor. http://id.loc.gov/authorities/names/n2006060668 has work: Applying partial least squares in tourism and hospitality research (Text) https://id.oclc.org/worldcat/entity/E39PCGMYYQcKKFpRvX3vQrfwRX https://id.oclc.org/worldcat/ontology/hasWork Print version: Ali, Faizan. Applying Partial Least Squares in Tourism and Hospitality Research. Bingley : Emerald Publishing Limited, ©2018 9781787567009 FWS01 ZDB-4-EBU FWS_PDA_EBU https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1868310 Volltext |
| spellingShingle | Applying partial least squares in tourism and hospitality research / 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 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 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 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 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 Hospitality industry Research. Accueil (Tourisme) Recherche. MATHEMATICS General. bisacsh Hospitality industry Research fast Least squares fast Structural equation modeling fast Tourism Mathematical models fast |
| title | Applying partial least squares in tourism and hospitality research / |
| title_auth | Applying partial least squares in tourism and hospitality research / |
| title_exact_search | Applying partial least squares in tourism and hospitality research / |
| title_full | Applying partial least squares in tourism and hospitality research / editors: Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu. |
| title_fullStr | Applying partial least squares in tourism and hospitality research / editors: Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu. |
| title_full_unstemmed | Applying partial least squares in tourism and hospitality research / editors: Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu. |
| title_short | Applying partial least squares in tourism and hospitality research / |
| title_sort | applying partial least squares in tourism and hospitality research |
| topic | Hospitality industry Research. Accueil (Tourisme) Recherche. MATHEMATICS General. bisacsh Hospitality industry Research fast Least squares fast Structural equation modeling fast Tourism Mathematical models fast |
| topic_facet | Hospitality industry Research. Accueil (Tourisme) Recherche. MATHEMATICS General. Hospitality industry Research Least squares Structural equation modeling Tourism Mathematical models |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1868310 |
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