SmartPLS Workshop
4528820000Research Methods WorkshopPartial Least Squares Structural Equation Modelling (PLS-SEM) Using SmartPLS 3InstructorsDr. Christian M. Ringle, Professor of Management, Hamburg University of Technology (TUHH), Germany, and University of Waikato, New Zealandright6985000Christian M. Ringle is a Chaired Professor of Management and the Director of the Institute of Human Resource Management and Organizations (HRMO) in the Department of Management Sciences and Technology at the Hamburg University of Technology (TUHH), Germany, and a Conjoint Professor of the Waikato Management School, New Zealand. He holds a PhD from the Faculty of Business and Economics at the University of Hamburg. Amongst other research stays and appointments, Ringle was a visiting researcher at the Georgia State University and the Osaka City University and he was a Conjoint Professor at the University of Technology Sydney and the University of Newcastle in Australia. His research addresses human resource management, organization, marketing, strategic management, and quantitative methods for business and market research. His contributions in these fields have been published in journals such as International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Leisure Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, MIS Quarterly, and Tourism Management. Moreover, Christian is a co-author of two textbooks on the PLS-SEM method and a co-developer of the SmartPLS software program. Recently, he has been included in the 2018 and 2019 Clarivate Analytics' Highly Researchers list. He regularly teaches doctoral seminars on multivariate statistics, especially the PLS-SEM method, and the use of the statistical software.More information on Christian M. Ringle and his list of publications: Google Scholar: Email: c.ringle@tuhh.de3714750767270500Dr. Marko Sarstedt, Professor of MarketingOtto-von-Guericke University Magdeburg, Germany, and Monash University Malaysia, MalaysiaMarko is a Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and an Adjunct Professor at Monash University Malaysia. His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behaviour, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly, and Psychometrika, among others. According to the 2019 F.A.Z. ranking, he is among the three most influential researchers in Germany, Austria, and Switzerland. Marko has been named member at Clarivate Analytics’ Highly Cited Researchers List, which includes the “world’s most impactful scientific researchers.”More information on Marko and his list of publications: Scholar : marko.sarstedt@ovgu.deGoal and overviewThis six-part online course participants to the state-of-the-art of partial least squares structural equation modeling (PLS-SEM) using the SmartPLS 3 software. The first day of the course provides a profound introduction to PLS-SEM. Participants will learn the foundations of PLS-SEM and how to apply it by means of the SmartPLS 3 software. The course continues with advanced topics including mediation, moderation, higher-order models, and the importance-performance map analysis (IPMA). At the end of the course, a live (online) wrap-up session includes case study exercises, questions and answers, and an outlook on additional advanced topics. The relevance of PLS-SEM in business researchPLS-SEM is a composite-based approach to SEM, which aims at maximizing the explained variance of dependent constructs in the path model. Researchers and practitioners use PLS-SEM especially when they conduct studies on success factors and the sources of competitive advantage. Compared to other SEM techniques, PLS-SEM allows researchers to estimate very complex models with many constructs and indicator variables. Furthermore, PLS-SEM allows to estimate reflective and formative constructs and generally offers much flexibility in terms of data requirements. The goal of PLS-SEM is the explanation of variances (prediction-oriented character of the methodology) rather than explaining covariances (theory testing via covariance-based SEM, CB-SEM). The application of the PLS-SEM method is of high interest if the assumptions of CB-SEM are violated and the proposed cause-and-effect relationships are not sufficiently explored. An additional advantage of the PLS-SEM method is the unrestricted inclusion of latent variables in small to very complex path models that draw on either/both reflective or formative measurements models. PLS-SEM has received considerable attention in a variety of disciplines PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5SaW5nbGU8L0F1dGhvcj48WWVhcj4yMDIwPC9ZZWFyPjxS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ADDIN EN.CITE PEVuZE5vdGU+PENpdGU+PEF1dGhvcj5SaW5nbGU8L0F1dGhvcj48WWVhcj4yMDIwPC9ZZWFyPjxS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ADDIN EN.CITE.DATA (e.g., Ali, Rasoolimanesh, Sarstedt, Ringle, & Ryu, 2018, Khan, Sarstedt, Shiau, Hair, Ringle, & Fritze, 2019, Nitzl & Chin, 2017, Ringle, Sarstedt, Mitchell, & Gudergan, 2020), which resulted in several highly cited publications (e.g., Web of Science).Who should attend?This online course has been designed for full-time faculty and PhD/DBA doctoral students who are interested in learning how to design their research towards more rigorous and publishable outputs that potentially survive the test of time and are more frequently read and cited. A basic knowledge of univariate and multivariate statistics and SEM techniques is helpful and priority will be given to researchers with this basic knowledge.Learning outcomesThis online course is designed to look at the stages of research question development and theorizing together with the subsequent methodological implementation using the multivariate analysis method PLS-SEM in business and management research. The learning objectives are to (1) contribute to theory by establishing a useful PLS path model, (2) develop an in-depth methodological appreciation of the PLS-SEM approach (the nature of theoretical modelling, analytical objectives, and related statistics), (3) acquire knowledge to evaluate measurement results, and (4) understand complementary analytical techniques. Specifically, following the workshop participants will understand the following topics:Model development and fundamentals of PLS-SEM.PLS path model estimation.Assessment and reporting of measurement and structural model results including Bootstrapping.New criteria for model assessment such as HTMT for discriminant validity and goodness of fit (e.g., SRMR).Prediction-oriented results analysis including Blindfolding and PLSpredict.Higher-order constructs (e.g., second-order models).Mediating effects.Moderating effects (interaction effects).Importance-performance map analysis (IPMA) of PLS-SEM results.In addition, the participants will be able to use the SmartPLS 3 software for their PLS-SEM analyses.Teaching and learning methodsOnline lectures/presentations: The sessions will cover theory and its application. Computer exercises use the latest SmartPLS 3 version: Specifically, theoretical explanations underlying the software procedures and practical exercises where participants will apply their learning to real-world examples provided by the instructor.Download and install the SmartPLS 3 software from before coming to the workshop (participants will receive detailed instructions shortly before the course starts)All participants will get a 60-days license for SmartPLS 3 Professional.All participants receive course certificates after successful completion of online quizzes.Teaching resourcesBooks on PLS-SEM Hair, Joseph F., G. Tomas M. Hult, Christian M. Ringle, and Marko Sarstedt (2017), A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). Thousands Oak, CA: Sage Publications. ADDIN EN.CITE <EndNote><Cite Hidden="1"><Author>Hair</Author><Year>2017</Year><RecNum>1585</RecNum><record><rec-number>1585</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1585</key></foreign-keys><ref-type name="Book">6</ref-type><contributors><authors><author>Hair, Joseph F.</author><author>Hult, G. Tomas M.</author><author>Ringle, Christian M.</author><author>Sarstedt, Marko</author></authors></contributors><titles><title>A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)</title></titles><edition>2</edition><dates><year>2017</year></dates><pub-location>Thousand Oaks, CA</pub-location><publisher>Sage</publisher><urls></urls></record></Cite></EndNote>Hair, Joseph F., Marko Sarstedt, Christian Ringle, and Siegfried P. Gudergan (2018), Advanced issues in partial least squares structural equation modeling. Thousands Oaks, CA: Sage Publications. ADDIN EN.CITE <EndNote><Cite Hidden="1"><Author>Hair</Author><Year>2018</Year><RecNum>1708</RecNum><record><rec-number>1708</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1708</key></foreign-keys><ref-type name="Book">6</ref-type><contributors><authors><author>Hair, Joseph F.</author><author>Sarstedt, Marko</author><author>Ringle, Christian M.</author><author>Gudergan, Siegfried P.</author></authors></contributors><titles><title>Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM)</title></titles><dates><year>2018</year></dates><pub-location>Thousand Oaks, CA</pub-location><publisher>Sage</publisher><urls></urls></record></Cite></EndNote>SoftwareRingle, Christian M., Sven Wende, and Jan-Michael Becker (2015), "SmartPLS 3." B?nningstedt: SmartPLS. ADDIN EN.CITE <EndNote><Cite Hidden="1"><Author>Ringle</Author><Year>2015</Year><RecNum>1388</RecNum><record><rec-number>1388</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1388</key></foreign-keys><ref-type name="Computer Program">9</ref-type><contributors><authors><author>Ringle, Christian M.</author><author>Wende, Sven</author><author>Becker, Jan-Michael</author></authors></contributors><titles><title>SmartPLS 3</title></titles><dates><year>2015</year></dates><pub-location>B?nningstedt</pub-location><publisher>SmartPLS</publisher><urls><related-urls><url> recommended readings ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Khan</Author><Year>2019</Year><RecNum>2963</RecNum><DisplayText>Khan, Sarstedt, Shiau, Hair, Ringle, and Fritze (2019)</DisplayText><record><rec-number>2963</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="1524723111">2963</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Khan, Gohar F.</author><author>Sarstedt, Marko</author><author>Shiau, Wen-Lung</author><author>Hair, Joseph F.</author><author>Ringle, Christian M.</author><author>Fritze, Martin</author></authors></contributors><titles><title>Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches</title><secondary-title>Internet Research</secondary-title></titles><periodical><full-title>Internet Research</full-title></periodical><pages>407-429</pages><volume>29</volume><number>3</number><dates><year>2019</year></dates><urls></urls></record></Cite></EndNote>Khan, Sarstedt, Shiau, Hair, Ringle, and Fritze (2019). Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches. Internet Research, 29(3), 407-429. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Sarstedt</Author><Year>2017</Year><RecNum>1735</RecNum><DisplayText>Sarstedt, Ringle, and Hair (2017)</DisplayText><record><rec-number>1735</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1735</key></foreign-keys><ref-type name="Book Section">5</ref-type><contributors><authors><author>Sarstedt, Marko</author><author>Ringle, Christian M.</author><author>Hair, Joseph F.</author></authors><secondary-authors><author>Homburg, Christian</author><author>Klarmann, Martin</author><author>Vomberg, Arndt</author></secondary-authors></contributors><titles><title>Partial Least Squares Structural Equation Modeling</title><secondary-title>Handbook of Market Research</secondary-title></titles><pages>1-40</pages><dates><year>2017</year></dates><pub-location>Cham</pub-location><publisher>Springer</publisher><urls></urls></record></Cite></EndNote>Sarstedt, Ringle, and Hair (2017). Partial Least Squares Structural Equation Modeling. In Homburg, Christian, Martin Klarmann, & Arndt Vomberg, (Eds.), Handbook of Market Research. Cham: Springer. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Hair</Author><Year>2019</Year><RecNum>3093</RecNum><DisplayText>Hair, Risher, Sarstedt, and Ringle (2019)</DisplayText><record><rec-number>3093</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="1541711189">3093</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Hair, Joseph F.</author><author>Risher, Jeffrey J.</author><author>Sarstedt, Marko</author><author>Ringle, Christian M.</author></authors></contributors><titles><title>When to Use and How to Report the Results of PLS-SEM</title><secondary-title>European Business Review</secondary-title></titles><periodical><full-title>European Business Review</full-title></periodical><pages>2-24</pages><volume>31</volume><number>1</number><dates><year>2019</year></dates><urls></urls></record></Cite></EndNote>Hair, Risher, Sarstedt, and Ringle (2019). When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1), 2-24. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Sarstedt</Author><Year>2019</Year><RecNum>3175</RecNum><DisplayText>Sarstedt, Hair, Jun-Hwa, Becker, and Ringle (2019)</DisplayText><record><rec-number>3175</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="1560626459">3175</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Sarstedt, Marko</author><author>Hair, Joseph F.</author><author>Jun-Hwa, Cheah</author><author>Becker, Jan-Michael</author><author>Ringle, Christian M.</author></authors></contributors><titles><title>How to Specify, Estimate, and Validate Higher-order Constructs in PLS-SEM</title><secondary-title>Australasian Marketing Journal</secondary-title></titles><periodical><full-title>Australasian Marketing Journal</full-title></periodical><pages>197-211</pages><volume>27</volume><number>3</number><dates><year>2019</year></dates><urls></urls></record></Cite></EndNote>Sarstedt, Hair, Jun-Hwa, Becker, and Ringle (2019). Structural Model Robustness Checks in PLS-SEM. Tourism Economics, forthcoming. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Ringle</Author><Year>2016</Year><RecNum>1718</RecNum><DisplayText>Ringle and Sarstedt (2016)</DisplayText><record><rec-number>1718</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1718</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Ringle, Christian M.</author><author>Sarstedt, Marko</author></authors></contributors><titles><title>Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis</title><secondary-title>Industrial Management & Data Systems</secondary-title></titles><periodical><full-title>Industrial Management & Data Systems</full-title></periodical><pages>1865-1886</pages><volume>116</volume><number>9</number><dates><year>2016</year></dates><urls></urls></record></Cite></EndNote>Ringle and Sarstedt (2016). Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis. Industrial Management & Data Systems, 116(9): 1865-86. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Henseler</Author><Year>2015</Year><RecNum>1497</RecNum><DisplayText>Henseler, Ringle, and Sarstedt (2015)</DisplayText><record><rec-number>1497</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1497</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Henseler, J?rg</author><author>Ringle, Christian M.</author><author>Sarstedt, Marko</author></authors></contributors><titles><title>A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling</title><secondary-title>Journal of the Academy of Marketing Science</secondary-title></titles><periodical><full-title>Journal of the Academy of Marketing Science</full-title></periodical><pages>115-135</pages><volume>43</volume><number>1</number><dates><year>2015</year></dates><urls></urls></record></Cite></EndNote>Henseler, Ringle, and Sarstedt (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-35. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Nitzl</Author><Year>2016</Year><RecNum>1805</RecNum><DisplayText>Nitzl, Roldán, and Cepeda Carrión (2016)</DisplayText><record><rec-number>1805</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1805</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Nitzl, Christian</author><author>Roldán, José L.</author><author>Cepeda Carrión, Gabriel</author></authors></contributors><titles><title>Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models</title><secondary-title>Industrial Management & Data Systems</secondary-title></titles><periodical><full-title>Industrial Management & Data Systems</full-title></periodical><pages>1849-1864</pages><volume>119</volume><number>9</number><dates><year>2016</year></dates><urls></urls></record></Cite></EndNote>Nitzl, Roldán, and Cepeda Carrión (2016). Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models. Industrial Management & Data Systems, 119(9): 1849-64. PEVuZE5vdGU+PENpdGUgSGlkZGVuPSIxIj48QXV0aG9yPkhlbnNlbGVyPC9BdXRob3I+PFllYXI+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ADDIN EN.CITE PEVuZE5vdGU+PENpdGUgSGlkZGVuPSIxIj48QXV0aG9yPkhlbnNlbGVyPC9BdXRob3I+PFllYXI+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ADDIN EN.CITE.DATA Becker, Ringle, and Sarstedt (2018)Becker, Ringle, and Sarstedt (2018)Becker, Ringle, and Sarstedt (2018)Becker, Ringle, and Sarstedt (2018). Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. Journal of Applied Structural Equation Modeling, 2(2): 1-21. ADDIN EN.CITE <EndNote><Cite AuthorYear="1"><Author>Sarstedt</Author><Year>2016</Year><RecNum>1795</RecNum><DisplayText>Sarstedt, Hair, Ringle, Thiele, and Gudergan (2016)</DisplayText><record><rec-number>1795</rec-number><foreign-keys><key app="EN" db-id="zdx2da9f90sxeoeavt4vs5zq5wdx0a2t0905" timestamp="0">1795</key></foreign-keys><ref-type name="Journal Article">17</ref-type><contributors><authors><author>Sarstedt, Marko</author><author>Hair, Joseph F.</author><author>Ringle, Christian M.</author><author>Thiele, Kai O.</author><author>Gudergan, Siegfried P.</author></authors></contributors><titles><title>Estimation Issues with PLS and CBSEM: Where the Bias Lies!</title><secondary-title>Journal of Business Research</secondary-title></titles><periodical><full-title>Journal of Business Research</full-title></periodical><pages>3998-4010</pages><volume>69</volume><number>10</number><dates><year>2016</year></dates><urls></urls></record></Cite></EndNote>Sarstedt, Hair, Ringle, Thiele, and Gudergan (2016). Estimation Issues with PLS and CBSEM: Where the Bias Lies! Journal of Business Research, 69(10): 3998-4010. More PLS-SEM literature and publications: scheduleContentPart 1PLS-SEM: A comprehensive introduction Everything you need to know about the principles of PLS-SEM benefits:More than four and a half hours of video materialCovers the latest developments in PLS-SEMComprehensive lecturing slides includedAnnotated outputs from SmartPLS illustrate all analyses step-by-stepPersonalized certificate after successful completion of the final examPart 2Mediator analysisUnderstand mediator analysis and learn its execution in PLS-SEM benefits:Comprehensive video material discussing mediation and its implementation in PLS-SEMCovers advanced topics such as parallel and serial mediating effectsComprehensive lecturing slides includedAnnotated outputs from SmartPLS illustrate all analyses step-by-stepCertificate after successful completion of the final examPart 3Moderator analysisUnderstand moderator analysis and learn its execution in PLS-SEM BenefitsComprehensive video material discussing moderation and its implementation in PLS-SEMCovers the latest research on model specificationComprehensive lecturing slides includedAnnotated outputs from SmartPLS illustrate all analyses step-by-stepCertificate after successful completion of the final examPart 4Higher-order modelsLearn how to specify, estimate, and validate higher-order models in PLS-SEM BenefitsComprehensive video material covering the state-of-the art in higher-order modelingOffers clear guidelines for specifying, estimating, and validating higher-order modelsComprehensive lecturing slides includedAnnotated outputs from SmartPLS illustrate all analyses step-by-stepCertificate after successful completion of the final examPart 5Importance-performance map analysis (IPMA)Everything you need to know about the IPMA benefitsComprehensive video material covering the state-of-the-art in importance-performance map analysis (IPMA)Learn how to carry out and to interpret the results of an IPMA on the construct and item levelComprehensive lecturing slides includedAnnotated outputs from SmartPLS illustrate all analyses step-by-stepPersonal certificate after successful completion of the final examPart 6Live wrap-up session:Case study example using SmartPLS 3Questions and answersOutlook on advanced PLS-SEM topicsLiterature ADDIN EN.REFLIST Ali, F., Rasoolimanesh, S. M., Sarstedt, M., Ringle, C. M., & Ryu, K. 2018. An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research. International Journal of Contemporary Hospitality Management, 30(1): 514-38.Becker, J.-M., Ringle, C. M., & Sarstedt, M. 2018. Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. Journal of Applied Structural Equation Modeling, 2(2): 1-21.Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. 2017. A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2 ed. Thousand Oaks, CA: Sage.Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. 2019. When to Use and How to Report the Results of PLS-SEM. European Business Review, 31(1): 2-24.Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. 2018. Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks, CA: Sage.Henseler, J., Ringle, C. M., & Sarstedt, M. 2015. A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-35.Khan, G. F., Sarstedt, M., Shiau, W.-L., Hair, J. F., Ringle, C. M., & Fritze, M. 2019. Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches. Internet Research, 29(3): 407-29.Nitzl, C. & Chin, W. W. 2017. The Case of Partial Least Squares (PLS) Path Modeling in Managerial Accounting. Journal of Management Control, 28(2): 137-56.Nitzl, C., Roldán, J. L., & Cepeda Carrión, G. 2016. Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models. Industrial Management & Data Systems, 119(9): 1849-64.Ringle, C. M. & Sarstedt, M. 2016. Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis. Industrial Management & Data Systems, 116(9): 1865-86.Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. 2020. Partial Least squares Structural Equation Modeling in HRM Research. The International Journal of Human Resource Management, 31(12): 1617-43.Ringle, C. M., Wende, S., & Becker, J.-M. 2015. SmartPLS 3. B?nningstedt: SmartPLS.Sarstedt, M., Hair, J. F., Jun-Hwa, C., Becker, J.-M., & Ringle, C. M. 2019. How to Specify, Estimate, and Validate Higher-order Constructs in PLS-SEM. Australasian Marketing Journal, 27(3): 197-211.Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. 2016. Estimation Issues with PLS and CBSEM: Where the Bias Lies! Journal of Business Research, 69(10): 3998-4010.Sarstedt, M., Ringle, C. M., & Hair, J. F. 2017. Partial Least Squares Structural Equation Modeling.In Homburg, Christian, Martin Klarmann, & Arndt Vomberg, (Eds.), Handbook of Market Research. Cham: Springer. ................
................
In order to avoid copyright disputes, this page is only a partial summary.
To fulfill the demand for quickly locating and searching documents.
It is intelligent file search solution for home and business.