Includes index.

Prelims -- Chapter 1: Minimum sample size estimation in PLS-SEM: An application in tourism and hospitality research -- Chapter 2: New guidelines for the use of PLS path modeling in hospitality, travel, and tourism research -- Chapter 3: Predictions from partial least squares models -- Chapter 4: PLS path modeling in hospitality and tourism research: the golden age and days of future past -- Chapter 5: Hotel employees' use of smartphones and performance: reflective-formative estimation approach -- Chapter 6: Loyalty to rural tourism in Brazil: the moderating effect of the purchase frequency -- Chapter 7: HRM practices and employee retention: the moderating effect of work environment -- Chapter 8: Do museums' websites boost visitors' intentions? A PLS multigroup comparison -- Chapter 9: The effect of high and low environmental consciousness regarding Brazilian restaurants: a multigroup analysis using PLS -- Chapter 10: Analyzing the Effects of online and offline communication in the hotel and restaurant industry: the PLS approach -- About the editors -- Index.

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.

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