TY - BOOK ID - 46269862 TI - Applying partial least squares in tourism and hospitality research AU - Ali, Faizan AU - Rasoolimanesh, S. Mostafa AU - Cobanoglu, Cihan PY - 2019 SN - 178756701X 1787566994 9781787567016 9781787566996 1787567001 1787567028 9781787567009 PB - Bingley, UK : Emerald Publishing, DB - UniCat KW - Least squares. KW - Structural equation modeling. KW - SEM (Structural equation modeling) KW - Multivariate analysis KW - Factor analysis KW - Regression analysis KW - Path analysis (Statistics) KW - Method of least squares KW - Squares, Least KW - Curve fitting KW - Geodesy KW - Mathematical statistics KW - Mathematics KW - Probabilities KW - Triangulation KW - Hospitality industry KW - Research KW - E-books KW - Service industries KW - Tourism KW - Hospitality KW - Business & Economics KW - Industry & industrial studies. KW - Mathematical models. KW - General. KW - Guests, Hospitality for KW - House guests, Hospitality for KW - Houseguests, Hospitality for KW - Entertaining KW - Etiquette KW - Holiday industry KW - Operators, Tour (Industry) KW - Tour operators (Industry) KW - Tourism industry KW - Tourism operators (Industry) KW - Tourist industry KW - Tourist trade KW - Tourist traffic KW - Travel industry KW - Visitor industry KW - National tourism organizations KW - Travel KW - Economic aspects UR - https://www.unicat.be/uniCat?func=search&query=sysid:46269862 AB - 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. ER -