Applying partial least squares in tourism and hospitality research / edited by Faizan Ali, S. Mostafa Rasoolimanesh and Cihan Cobanoglu.

Format:

Book

Contributor:

Ali, Faizan, editor.

Rasoolimanesh, S. Mostafa, editor.

Cobanoglu, Cihan, editor.

Language:

English

Subjects (All):

Least squares.

Structural equation modeling.

Tourism--Mathematical models.

Tourism.

Hospitality--Mathematical models.

Hospitality.

Physical Description:

1 online resource (269 pages) : illustrations

Edition:

First edition.

Place of Publication:

Bingley, UK : Emerald Publishing, 2019.

Summary:

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:

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.

Notes:

Includes index.

Print version record

ISBN:

9781787567016

178756701X

9781787566996

1787566994