Applying partial least squares in tourism and hospitality research. (2018)

• Record Type: Book
• Further Information: Note: Edited by Faizan Ali, S. Mostafa Rasoolimanesh, Cihan Cobanoglu.
• Editors: Ali, Faizan; Rasoolimanesh, S. Mostafa; Cobanoglu, Cihan
• 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.
• Publisher Details: United Kingdom : Emerald Publishing
• Publication Date: 2018
• Extent: 1 online resource
• Subjects: 338.47910015118; Tourism -- Mathematical models; Hospitality industry -- Mathematical models; Least squares
• Languages: English
• ISBNs: 9781787567016; 9781787566996
• Related ISBNs: 9781787567009
• Notes: Note: Description based on CIP data; resource not viewed.
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