Applying partial least squares in tourism and hospitality research

• Other Authors: Ali, Faizan (Editor), Rasoolimanesh, S. Mostafa (Editor), Cobanoglu, Cihan (Editor)
• Format: Electronic eBook
• Language: English
• Published: Bingley, U.K. : Emerald Publishing Limited, 2018.
• Subjects: Least squares.; Structural equation modeling.; Tourism > Mathematical models.; Hospitality > Mathematical models.; elektronické knihy; electronic books
• ISBN: 9781787566996; 9781787567016
• DOI: 10.1108/9781787566996
• Physical Description: 1 online resource (xviii, 240 pages)

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, strate...

Table of Contents:

• 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.