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Full Description
Partial-least-squares path modeling (PLS-PM), a composite-based form of structural equation modeling (SEM), offers great practical advantages to researchers and practitioners. It has been gaining increasing attention in various disciplines, including management information systems, marketing, strategic management, accounting, family business research, operations management, and organizational research. Yet advanced PLS-SEM techniques are not broadly used in hospitality and tourism research, which spells missed opportunities in terms of detailed analyses and actionable findings.
Applying Partial Least Squares in Tourism and Hospitality Research provides a forum for leading names in the field to discuss the major topical issues and to demonstrate the usefulness of PLS path modeling for academics and practitioners in hospitality and tourism. Its 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 individual topics such as multi-group analysis (PLS-MGA), the predictive qualities of PLS models, minimum sample size estimation methods, the reporting of mediation and moderation analysis, the assessment of the reliability of reflectively measured constructs, and the assessment of overall model fit through consistent PLS and the bootstrap-based test. This comprehensive coverage serves both as an introduction to PLS for the uninitiated and as a go-to reference work for researchers and practitioners interested in the most recent advances in PLS methodology.
Applying Partial Least Squares in Tourism and Hospitality Research is a must-read for academics in hospitality and tourism research and for hospitality and tourism practitioners such as industry consultants. Insofar as it can serve as a guidebook to recent advances within PLS-SEM, it is also of interest to researchers from other disciplines including management, business, and marketing.
Contents
Chapter 1. Minimum sample size estimation in PLS-SEM:
An application in tourism and hospitality research; Ned KockChapter 2. New guidelines for the use of PLS path
modeling in hospitality, travel and tourism research; Jörg
Henseler, Tobias Müller and Florian Schuberth
Chapter 3. Predictions from partial least squares
models; Nicholas P. Danks and Soumya
Ray
Chapter 4. PLS Path Modeling in Hospitality and
Tourism Research: The Golden Age and Days of Future Past; Hengky Latan
Chapter 5. Hotel employees' use of smartphones and
performance: reflective-formative estimation approach; Minwoo Lee, Kawon Kim, Kyung Young Lee and Jung Hwa Hong
Chapter 6. Loyalty to rural tourism in Brazil: The
moderating effect of the purchase frequency; Mara Mataveli and Alfonso J. Gil
Chapter 7. HRM practices and employee retention: The
moderating effect of work environment; Palwasha
Bibi, Ashfaq Ahmad and Abdul H. A. Majid
Chapter 8. Do museums' websites boost visitors' intentions? A
PLS multi-group comparison; Jesús García-Madariaga, Nuria Recuero
Virto, María Francisca Blasco López and Joaquin Aldas Manzano
Chapter 9. The effect of high and low environmental
conscious regarding Brazilian restaurants: A multi-group analysis using PLS; Carlos Alberto Alves, Claudio José Stefanini and Leonardo Aureliano da
Silva
Chapter 10. Analyzing the effects of online and
offline communication in the hotel and restaurant industry: The PLS approach; Maja Šerić and Đurđana
Ozretić-Došen
