Marketing Science (JAMS), Volume 40 (2012), Issue 3, pp. A.: An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. M.: Rethinking Some of the Rethinking of Partial Least Squares, European Journal of Marketing, Volume 53 (2019), Issue 4, pp. Long Range Planning (LRP), Volume 45 (2012), Issue 5-6, pp. M.: The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and
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M.: When to Use and how to Report the Results of PLS-SEM, European Business Review, Volume 31 (2019), Issue 1, pp. M., Sarstedt, M.: Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. M., Sarstedt, M.: Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, Volume 45 (2012), Issue 5-6, pp. Journal of Marketing Theory and Practice (JMTP), Volume 19 (2011), Issue 2, pp. M., Sarstedt, M.: PLS-SEM: Indeed a Silver Bullet. P., Fischer, A., Nitzl, C., Menictas, C.: Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration Journal of the Academy of Marketing Science, Volume 45 (2017), Issue 5, pp. O.: Mirror, Mirror on the Wall: A Comparative Evaluation of Composite-based Structural Equation Modeling Methods. M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). C., Nitzl, C.: Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis, Journal of Business Research, Volume 109 (2020), pp. M.: Executing and Interpreting Applications of PLS-SEM: Updates for Familyīusiness Researchers, Journal of Family Business Strategy, forthcoming. I., Radomir, L., Sarstedt, M., Vaithilingam, S., Ringle, C. Journal of Business Research (JBR), Volume 61 (2008), Issue 12, pp. M., Wende, S., Will, A.: Confirmatory Tetrad Analysis in PLS Path Modeling. M.: This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research, Higher Education, Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. R., Sarstedt, M.: Heuristics Versus Statistics in Discriminant Validity Testing: A Comparison of Four Procedures, Internet Research, Volume 29 (2019), Issue 3, pp. Journal of Marketing Analytics, Volume 8įranke, G. M.: Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis. Ĭho, G., Hwang, H., Sarstedt, M., Ringle, C. Industrial Managament & Data Systems, forthcoming. H.: Demystifying the Role of Causal-Predictive Modeling Using Partial Least Squares Structural Modeling in Information International Journal of Contemporary Hospitality Management, Volume 30 (2018), Issue 11, pp. Multi-item Measures in Redundancy Analyses. M., Ramayah, T., Ting, H: Convergent Validity Assessment of Formatively Measured Constructs in PLS-SEM: On Using Single-item versus Journal of ServicesĬheah, J.-H., Sarstedt, M., Ringle, C. M.: Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspctive, Wisdom and Emotional Intelligence. M., Sarstedt, M.: Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term Generation*Data Treatment. R.: Accounting for Sampling Weights in PLS Path Modeling: Simulations and Empirical Examples, European Managament Journal, Volume 34 (2016), Issue (6), pp.īecker, J.-M., Ringle, C. Journal of Risk, Volume 20 (2018), Issue (5), pp. Y.: Monitoring Transmission of Systemic Risk: Application of Partial Least Squares Structural Equation Modeling in Financial Stress Testing. Journal of Travel Research, Volume 56 (2017),Īvkiran, N. M.: Enhancing Service Loyalty: The Roles of Delight, Satisfaction, and Service Quality. The International Journal of Contemporary Hospitality Management, Volume 30 (2018), Issue 1, pp.
M., Ryu, K.: An Assessment of the Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) in Hospitality Research.