Applying partial least squares in tourism and hospitality research
Applying partial least squares in tourism and hospitality research:

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...

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Bibliographische Detailangaben
Weitere Verfasser: Ali, Faizan (HerausgeberIn), Cobanoglu, Cihan (HerausgeberIn), Rasoolimanesh, S. Mostafa (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Bingley, U.K. Emerald Publishing Limited 2018
Schlagworte:
Business & Economics
Industry & industrial studies
Hospitality > Mathematical models
Least squares
Structural equation modeling
Tourism > Mathematical models
Online-Zugang:DE-634
DE-1043
DE-M347
DE-523
DE-91
DE-473
DE-19
DE-355
DE-703
DE-20
DE-706
DE-824
DE-29
DE-739
Volltext
Zusammenfassung: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
Beschreibung:Includes index
Beschreibung:1 Online-Ressource (xviii, 240 Seiten)
ISBN:9781787566996

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