Applying Partial Least Squares In Tourism And Hospitality Research PDF Download
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Author | : Faizan Ali |
Publisher | : Emerald Group Publishing |
Total Pages | : 264 |
Release | : 2018-12-14 |
Genre | : Business & Economics |
ISBN | : 1787566994 |
Download Applying Partial Least Squares in Tourism and Hospitality Research Book in PDF, ePub and Kindle
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 various individual topics.
Author | : Faizan Ali |
Publisher | : Emerald Group Publishing |
Total Pages | : 264 |
Release | : 2018-12-14 |
Genre | : Business & Economics |
ISBN | : 178756701X |
Download Applying Partial Least Squares in Tourism and Hospitality Research Book in PDF, ePub and Kindle
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 various individual topics.
Author | : Faizan Ali |
Publisher | : |
Total Pages | : 0 |
Release | : 2018 |
Genre | : |
ISBN | : |
Download An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research Book in PDF, ePub and Kindle
Purpose Structural equation modeling (SEM) depicts one of the most salient research methods across a variety of disciplines, including hospitality management. Although for many researchers, SEM is equivalent to carrying out covariance-based SEM, recent research advocates the use of partial least squares structural equation modeling (PLS-SEM) as an attractive alternative. The purpose of this paper is to systematically examine how PLS-SEM has been applied in major hospitality research journals with the aim of providing important guidance and, if necessary, opportunities for realignment in future applications. Because PLS-SEM in hospitality research is still in an early stage of development, critically examining its use holds considerable promise to counteract misapplications which otherwise might reinforce over time. Design/methodology/approach All PLS-SEM studies published in the six SSCI-indexed hospitality management journals between 2001 and 2015 were reviewed. Tying in with the prior studies in the field, the review covers reasons for using PLS-SEM, data characteristics, model characteristics, the evaluation of the measurement models, the evaluation of the structural model, reporting and use of advanced analyses. Findings Compared to other fields, the results show that several reporting practices are clearly above standard but still leave room for improvement, particularly regarding the consideration of state-of-the art metrics for measurement and structural model assessment. Furthermore, hospitality researchers seem to be unaware of the recent extensions of the PLS-SEM method, which clearly extend the scope of the analyses and help gaining more insights from the model and the data. As a result of this PLS-SEM application review in studies, this research presents guidelines on how to accurately use the method. These guidelines are important for the hospitality management and other disciplines to disseminate and ensure the rigor of PLS-SEM analyses and reporting practices. Research limitations/implications Only articles published in the SSCI-indexed hospitality journals were examined and any journals indexed in other databases were not included. That is, while this research focused on the top-tier hospitality management journals, future research may widen the scope by considering hospitality management-related studies from other disciplines, such as tourism research or general management. Originality/value This study contributes to the literature by providing hospitality researchers with the updated guidelines for PLS-SEM use. Based on a systematic review of current practices in the hospitality literature, critical methodological issues when choosing and using the PLS-SEM were identified. The guidelines allow to improve future PLS-SEM studies and offer recommendations for using recent advances of the method.
Author | : Fevzi Okumus |
Publisher | : Emerald Group Publishing |
Total Pages | : 167 |
Release | : 2023-01-25 |
Genre | : Business & Economics |
ISBN | : 1804550655 |
Download Cutting Edge Research Methods in Hospitality and Tourism Book in PDF, ePub and Kindle
Cutting Edge Research Methods in Hospitality and Tourism sits at the forefront of fast-paced developments in the tourism and hospitality industry, highlighting the importance of applied and pure research to address the theoretical and practical problems and gaps.
Author | : Robin Nunkoo |
Publisher | : Edward Elgar Publishing |
Total Pages | : 584 |
Release | : 2018-07-27 |
Genre | : Business & Economics |
ISBN | : 1785366289 |
Download Handbook of Research Methods for Tourism and Hospitality Management Book in PDF, ePub and Kindle
As research in tourism and hospitality reaches maturity, a growing number of methodological approaches are being utilized and, in addition, this knowledge is dispersed across a wide range of journals. Consequently there is a broad and multidisciplinary community of tourism and hospitality researchers whom, at present, need to look widely for support on methods. In this volume, researchers fulfil a pressing need by clearly presenting methodological issues within tourism and hospitality research alongside particular methods and share their experiences of what works, what does not work and where challenges and innovations lie.
Author | : Necmi K. Avkiran |
Publisher | : Springer |
Total Pages | : 243 |
Release | : 2018-02-16 |
Genre | : Business & Economics |
ISBN | : 3319716913 |
Download Partial Least Squares Structural Equation Modeling Book in PDF, ePub and Kindle
This book pulls together robust practices in Partial Least Squares Structural Equation Modeling (PLS-SEM) from other disciplines and shows how they can be used in the area of Banking and Finance. In terms of empirical analysis techniques, Banking and Finance is a conservative discipline. As such, this book will raise awareness of the potential of PLS-SEM for application in various contexts. PLS-SEM is a non-parametric approach designed to maximize explained variance in latent constructs. Latent constructs are directly unobservable phenomena such as customer service quality and managerial competence. Explained variance refers to the extent we can predict, say, customer service quality, by examining other theoretically related latent constructs such as conduct of staff and communication skills. Examples of latent constructs at the microeconomic level include customer service quality, managerial effectiveness, perception of market leadership, etc.; macroeconomic-level latent constructs would be found in contagion of systemic risk from one financial sector to another, herd behavior among fund managers, risk tolerance in financial markets, etc. Behavioral Finance is bound to provide a wealth of opportunities for applying PLS-SEM. The book is designed to expose robust processes in application of PLS-SEM, including use of various software packages and codes, including R. PLS-SEM is already a popular tool in marketing and management information systems used to explain latent constructs. Until now, PLS-SEM has not enjoyed a wide acceptance in Banking and Finance. Based on recent research developments, this book represents the first collection of PLS-SEM applications in Banking and Finance. This book will serve as a reference book for those researchers keen on adopting PLS-SEM to explain latent constructs in Banking and Finance.
Author | : Hengky Latan |
Publisher | : Springer Nature |
Total Pages | : 495 |
Release | : 2023-12-16 |
Genre | : Mathematics |
ISBN | : 3031377729 |
Download Partial Least Squares Path Modeling Book in PDF, ePub and Kindle
Now in its second edition, this edited book presents recent progress and techniques in partial least squares path modeling (PLS-PM), and provides a comprehensive overview of the current state-of-the-art in PLS-PM research. Like the previous edition, the book is divided into three parts: the first part emphasizes the basic concepts and extensions of the PLS-PM method; the second part discusses the methodological issues that have been the focus of recent developments, and the last part deals with real-world applications of the PLS-PM method in various disciplines. This new edition broadens the scope of the first edition and consists of entirely new original contributions, again written by expert authors in the field, on a wide range of topics, including: how to perform quantile composite path modeling with R; the rationale and justification for using PLS-PM in top-tier journals; psychometric properties of three weighting schemes and why PLS-PM is a better fit to mode B; a comprehensive review of PLS software; how to perform out-of-sample predictions with ordinal consistent partial least squares; multicollinearity issues in PLS-PM using ridge regression; theorizing and testing specific indirect effects in PLS and considering their effect size; how to run hierarchical models and available approaches; and how to apply necessary condition analysis (NCA) in PLS-PM. This book will appeal to researchers interested in the latest advances in PLS-PM as well as masters and Ph.D. students in a variety of disciplines who use PLS-PM methods. With clear guidelines on selecting and using PLS-PM, especially those related to composite models, readers will be brought up to date on recent debates in the field.
Author | : Joseph F. Hair Jr. |
Publisher | : Springer Nature |
Total Pages | : 208 |
Release | : 2021-11-03 |
Genre | : Business & Economics |
ISBN | : 3030805190 |
Download Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R Book in PDF, ePub and Kindle
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
Author | : Joseph F. Hair, Jr. |
Publisher | : SAGE Publications |
Total Pages | : 257 |
Release | : 2021-07-06 |
Genre | : Social Science |
ISBN | : 1544396414 |
Download A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Book in PDF, ePub and Kindle
The third edition of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) guides readers through learning and mastering the techniques of this approach in clear language. Authors Joseph H. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt use their years of conducting and teaching research to communicate the fundamentals of PLS-SEM in straightforward language to explain the details of this method, with limited emphasis on equations and symbols. A running case study on corporate reputation follows the different steps in this technique so readers can better understand the research applications. Learning objectives, review and critical thinking questions, and key terms help readers cement their knowledge. This edition has been thoroughly updated, featuring the latest version of the popular software package SmartPLS 3. New topics have been added throughout the text, including a thoroughly revised and extended chapter on mediation, recent research on the foundations of PLS-SEM, detailed descriptions of research summarizing the advantages as well as limitations of PLS-SEM, and extended coverage of advanced concepts and methods, such as out-of-sample versus in-sample prediction metrics, higher-order constructs, multigroup analysis, necessary condition analysis, and endogeneity.
Author | : Jörg Henseler |
Publisher | : Guilford Publications |
Total Pages | : 387 |
Release | : 2020-12-24 |
Genre | : Social Science |
ISBN | : 1462545610 |
Download Composite-Based Structural Equation Modeling Book in PDF, ePub and Kindle
This book presents powerful tools for integrating interrelated composites--such as capabilities, policies, treatments, indices, and systems--into structural equation modeling (SEM). Jörg Henseler introduces the types of research questions that can be addressed with composite-based SEM and explores the differences between composite- and factor-based SEM, variance- and covariance-based SEM, and emergent and latent variables. Using rich illustrations and walked-through data sets, the book covers how to specify, identify, estimate, and assess composite models using partial least squares path modeling, maximum likelihood, and other estimators, as well as how to interpret findings and report the results. Advanced topics include confirmatory composite analysis, mediation analysis, second-order constructs, interaction effects, and importance–performance analysis. Most chapters conclude with software tutorials for ADANCO and the R package cSEM. The companion website includes data files and syntax for the book's examples, along with presentation slides.