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Applying Partial Least Squares in Tourism and Hospitality Research (Hardcover)
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Applying Partial Least Squares in Tourism and Hospitality Research (Hardcover)
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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.
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