PLS-SEM Methods Articles

Do you know of any good PLS-SEM methods articles, preferably in top-level journals? Please send us your proposal to literature@smartpls.com in the following format:

OPEN ACCESS! Endogeneity and the Gaussian copula approach: Liengaard, B.D./ Becker, J.-M./ Bennedsen, M./ Heiler, P./ Taylor, L.N./ Ringle, C.M.: Dealing with Regression Models’ Endogeneity by Means of an Adjusted Estimator for the Gaussian Copula Approach, Journal of the Academy of Marketing Science, forthcoming.

Legate, A.E./ Ringle, C.M./ Hair, J.F.: PLS-SEM: A method Demonstration in the R Statistical Environment, Human Resource Development Quarterly, forthcoming.

Rigdon, E.E.: Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis, Multivariate Behavioral Research, forthcoming.

Sarstedt, M./ Adler, S.J./ Ringle, C.M./ Cho, G./ Diamantopoulos, A./ Hwang, H./ Liengaard, B.D.: Same Model, Same Data, But Different Outcomes: Evaluating the Impact of Method Choices in Structural Equation Modeling, Journal of Product Innovation Management, forthcoming.

Sarstedt, M./ Richter, N.F./ Hauff, S./ Ringle, C.M.: Combined Importance–performance Map Analysis (cIPMA) in Partial Least Squares Structural Equation Modeling (PLS–SEM): A SmartPLS 4 Tutorial. Journal of Marketing Analytics, forthcoming.

Amusa, L.B./ Hossana, T. An Empirical Comparison of Some Missing Sata Treatments in PLS-SEM, PLOS ONE, Volume 19 (2024), Issue 1, e0297037.

Cheah, J.-H./ Magno, F./ Cassia, F.: Reviewing the SmartPLS 4 Software: The Latest Features and Enhancements, Journal of Marketing Analytics, Volume 12 (2024), Issue 1, pp. 97-107.

Gironda, J.T. Review of Advanced Issues in Partial Least Squares Structural Equation Modeling (Second Edition), Journal of Marketing Analytics, olume 12 (2024), Issue 1, pp. 108-109.

Hair, J.F./ Sarstedt, M./ Ringle, C.M./ Sharma, P.N./ Liengaard, B.D.: Going Beyond the Untold Facts in PLS–SEM and Moving Forward. European Journal of Marketing, Volume 58 (2024), Issue 13, pp. 81-106.

Hair, J.F./ Sarstedt, M./ Ringle, C.M./ Sharma, P.N./ Liengaard, B.D.: The Shortcomings of Equal Weights Estimation and the Composite Equivalence Index in PLS-SEM. European Journal of Marketing, Volume 58 (2024), Issue 13, pp. 30-55.

Hauff, S./ Richter, N.F./ Sarstedt, M./ Ringle, C.M.: Importance and Performance in PLS-SEM and NCA: Introducing the Combined Importance-Performance Map Analysis (cIPMA), Journal of Retailing and Consumer Services, Volume 78 (2024), 103723.

Kurtaliqi, F./ Lancelot Miltgen, C./ Viglia, G./ Pantin-Sohier, G.: Using Advanced Mixed Methods Approaches: Combining PLS-SEM and Qualitative Studies, Journal of Business Research, 172(2024), pp. 114464.

Lamberti, G.: Hybrid Multigroup Partial Least Squares Structural Equation Modelling: An Application to Bank Employee Satisfaction and Loyalty, Quality & Quantity, Volumne 57 (2023), pp. 683-705.

Liengaard, B.D.: Measurement Invariance Testing in Partial Least Squares Structural Equation Modeling, Journal of Business Research, Volume 177(2024), pp. 114581.

Richter, N.F./ Tudoran, A.A.: Elevating Theoretical Insight and Predictive Accuracy in Business Research: Combining PLS-SEM and Selected Machine Learning Algorithms, Journal of Business Research, 173(2024), pp. 114453.

Sarstedt, M./ Moisescu, O.-I. Quantifying Uncertainty in PLS-SEM-based Mediation Analyses, Journal of Marketing Analytics, Volume 12 (2024), Issue 1, pp. 87-96.

Sharma, P.N./ Sarstedt, M./ Ringle, C.M./ Cheah, J.-H./ Herfurth/ A., Hair, J.F.: A Framework for Enhancing the Replicability of Behavioral MIS Research Using Prediction Oriented Techniques. International Journal of Information Management, 78, 102805.

Shiau, W.-L./ Liu, C./ Cheng, X./ Yu, W.-P.: Employees’ behavioral intention to adopt facial recognition payment to service customers: From status quo bias and value-based adoption perspectives, Journal of Organizational and End User Computing, Volume 36 (2024), Issue 1, pp. 1-32.

Vaithilingam, S./ Ong, C.S./ Moisescu, O.I./ Nair, M.S.: Robustness Checks in PLS-SEM: A Review of Recent Practices and Recommendations for Future Applications in Business Research, Journal of Business Research, 173(2024), pp. 114465.

Adler, S.J./ Sharma, P.N./ Radomir, L.: Toward Open Science in PLS-SEM: Assessing the State of the Art and Future Perspectives, Journal of Business Research, Volume 169(2023), pp. 114291.

Becker, J.-M./ Cheah, J.H./ Gholamzade, R./ Ringle, C.M./ Sarstedt, M.: PLS-SEM’s Most Wanted Guidance, International Journal of Contemporary Hospitality Management, Volume 35 (2023), Issue 1, pp. 321-346.

Cho, G./ Lee, J./ Hwang, H./ Sarstedt, M./ Ringle, C.M.: A Comparative Study of the Predictive Power of Component-based Approaches to Structural Equation Modeling, European Journal of Marketing, Volume 57 (2023), Issue 6, pp. 1641-1661.

Cook, D.R./ Forzani, L. On the Role of Partial Least Squares in Path Analysis for the Social Sciences, Journal of Business Research, Volume 167 (2023), p. 114132.

Guenther, P./ Guenther, M./ Ringle, C. M./ Zaefarian, G./ Cartwright, S.: Improving PLS-SEM Use for Business Marketing Research, Industrial Marketing Management, Vol. 111 (2023), pp. 127-142.

Legate, A.E./ Hair, J.F./ Chretien, J.L./ Risher, J.J.: PLS-SEM: Prediction-oriented solutions for HRD researchers, Human Resource Development Quarterly, Volume 34 (2023), Issue 1, pp. 91-109.

Morgeson, F.V./ Hult, G.T.M./ Sharma, U./ Fornell, C.: [The American Customer Satisfaction Index (ACSI): A Sample Dataset and Description](https://doi.org/https://doi.org/10.1016/j.dib.2023.109123, Data in Brief, Volume 48 (2023), p. 109123.

Richter, N.F./ Hauff, S./ Kolev, A.E./ Schubring, S.: Dataset On An Extended Technology Acceptance Model: A Combined Application of PLS-SEM and NCA, Data in Brief, Volume 48 (2023), p. 109190.

Richter, N.F./ Hauff, S./ Ringle, C.M./ Sarstedt, M./ Kolev, A.E./ Schubring, S.: How to Apply Necessary Condition Analysis in PLS-SEM. In Latan, H./ Hair, J.F./ Noonan, R. (Eds.), Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications (pp. 267-297). Cham: Springer International Publishing, 2023.

Ringle, C.M./ Sarstedt, M./ Sinkovics, N./ Sinkovics, R.R.: A Perspective on Using Partial Least Squares Structural Equation Modelling in Data Articles, Data in Brief, Vol. 48 (2023), p. 109074.

Russo, D./ Stol, K.-J.: Don’t Throw the Baby Out With the Bathwater: Comments on “Recent Developments in PLS”, Communications of the Association for Information Systems, Volume 52 (2023), pp. 700-704.

Sarstedt, M./ Hair, J.F./ Ringle, C.M.: "PLS-SEM: Indeed a silver bullet" - Retrospective observations and recent advances, Journal of Marketing Theory & Practice, Volume 31 (2023), Issue , pp. 261-275.

Sarstedt, M./ Ringle, C.M./ Iuklanov, D.: Antecedents and Consequences of Corporate Reputation: A Dataset, Data in Brief, Vol. 48 (2023), p. 109079.

Sharma, P.N./ Liengaard, B.D./ Hair, J.F./ Sarstedt, M./ Ringle, C.M.: Predictive Model Assessment and Selection in Composite-based Modeling Using PLS-SEM: Extensions and Guidelines for Using CVPAT, European Journal of Marketing, Volume 57 (2023), Issue 6, pp. 1662-1677.

Sharma, P.N./ Liengaard, B.D./ Sarstedt, M./ Hair, J.F./ Ringle, C.M.: Extraordinary Claims Require Extraordinary Evidence: A Comment on “the Recent Developments in PLS”, Communications of the Association for Information Systems, Volume 52 (2023), pp. 739-742.

Basco, R./ Hair, J.F., Ringle, C.M./ Sarstedt, M.: Advancing Family Business Research Through Modeling Nonlinear Relationships: Comparing PLS-SEM and Multiple Regression, Journal of Family Business Strategy, Volume 13 (2022), Issue 3, 100457.

Becker, J.-M./ Proksch, D./ Ringle, C.M.:. Revisiting Gaussian Copulas to Handle Endogenous Regressors, Journal of the Academy of Marketing Science, Volume 50 (2022), pp- 46-66.

Cho, G./ Hwang, H./ Sarstedt, M./ Ringle, C.M.: A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis, Structural Equation Modeling: A Multidisciplinary Journal, Volume 29 (2022), Issue 2, pp. 229-240.

Cho, G./ Schlägel, C./ Hwang, H./ Choi, Y./ Sarstedt, M./ Ringle, C.M.: Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research, Management International Review, Volume 62 (2022), pp. 569–609.

Sarstedt, M./ Danks, N.P.: Prediction in HRM Research: A Gap Between Rhetoric and Reality, Human Resource Management Journal, Volume 32 (2022), Issue 2, pp. 485-513.

Sarstedt, M./ Hair, J.F./ Pick, M./ Liengaard, B.D./ Radomir, L./ Ringle, C.M.: Progress in Partial Least Squares Structural Equation Modeling Use in Marketing Research in the Last Decade, Psychology & Marketing, Volume 39 (2022), Issue 5, pp. 1035-1064.

Sarstedt, M./ Radomir, L./ Moisescu, O.I./ Ringle, C.M.: Latent Class Analysis in PLS-SEM: A Review and Recommendations for Future Applications, Journal of Business Research, Volume 138 (2022), pp. 398-407.

Cataldo, R./ Crocetta, C./ Grassia, M. G./ Lauro, N.C./ Marino, M./ Voytsekhovska, V.: Methodological PLS-PM Framework for SDGs System, Social Indicators Research, Volume 156 (2021), Issue 2, pp. 701-723.

Cheah, J.-H./ Roldán, J. L./ Ciavolino, E./ Ting, H./ Ramayah, T.: Sampling Weight Adjustments in Partial Least Squares Structural Equation Modeling: Guidelines and Illustrations, Total Quality Management & Business Excellence, Volume 32 (2021), Issue 13-14, pp. 1594-1613.

Crocetta, C./ Antonucci, L./ Cataldo, R./ Galasso, R./ Grassia, M.G./ Lauro, C.N./ Marino, M.: Higher-order PLS-PM Approach for Different Types of Constructs, Social Indicators Research, Volume 154 (2021), Issue 2, pp. 725-754.

Dash, G./ Paul, J.: CB-SEM vs PLS-SEM Methods for Research in Social Sciences and Technology Forecasting, Technological Forecasting and Social Change, Volume 173 (2021), 121092.

Hair, J.F./ Binz Astrachan, C./ Moisescu, O.I./ Radomir, L./ Sarstedt, M./ Vaithilingam, S./ Ringle, C.M.: Executing and Interpreting Applications of PLS-SEM: Updates for Family Business Researchers, Journal of Family Business Strategy, Volume 12 (2021), Issue 3, 100392.

Hair, J.F./ Sarstedt, M.: Explanation Plus Prediction—The Logical Focus of Project Management Research, Project Management Journal, Vol. 52 (2021), Issue 4, pp. 319-322.

Liengaard, B./ Sharma, P N./ Hult, G.T.M./ Jensen, M.B./ Sarstedt, M./ Hair, J.F./ Ringle, C.M.: Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling, Decision Sciences, Volume 53 (2021), Issue 2, pp. 362-392.

Manley, S.C./ Hair, J.F./ Williams, R.I./ McDowell, W.C.: Essential New PLS-SEM Analysis Methods for Your Entrepreneurship Analytical Toolbox, International Entrepreneurship and Management Journal, Volume 17 (2021), pp. 1805-1825.

Manosuthi, N./ Lee, J.S./ Han, H.: An Innovative Application of Composite-based Structural Equation Modeling in Hospitality Research with Empirical Example, Cornell Hospitality Quarterly, Volume 62 (2021), Issue 1, pp. 139-156.

Memon, M.A./ Ramayah, T./ Cheah, J.-H./ Ting, H./ Chuah, F./ Cham, T.H.: PLS-SEM Statistical Program: A Review, Journal of Applied Structural Equation Modeling, Volume 5 (2021), Issue 1, pp. i-xiii.

Rasoolimanesh, S.M./ Ringle, C.M./ Sarstedt, M./ Olya, H.: The Combined Use of Symmetric and Asymmetric Approaches: Partial Least Squares Structural Equation Modeling and Fuzzy-set Qualitative Comparative Analysis, International Journal of Contemporary Hospitality Management, Volume 33 (2021), Issue 5, pp. 1571-1592.

Rasoolimanesh, S.M./ Wang, M./ Roldán, J.L./ Kunasekaran, P.: Are We in Right Path for Mediation Analysis? Reviewing the Literature and Proposing Robust Guidelines, Journal of Hospitality and Tourism Management, Volume 48 (2021), pp. 395-405.

Sarstedt, M./ Hair, J.F./ Nitzl, C./ Ringle, C.M./ Howard, M.C.: Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, Volume 62 (2020), Issue 3, pp. 288-299.

Sarstedt, M./ Ringle, C.M./ and Hair, J.F.: Partial Least Squares Structural Equation Modeling. In Homburg, C./ Klarmann, M./ Vomberg, A. (Eds.), Handbook of Market Research. Cham: Springer, 2021.

Sharma, P.N./ Shmueli, G./ Sarstedt, M./ Danks, N./ Ray, S.: Prediction-oriented Model Selection in Partial Least Squares Path Modeling, Decision Sciences, Voume 52 (2021), Issue 3, pp. 567-607.

Cheah, J./ Ramayah, T./ Memon, M.A./ Chuah, F./ Ting, H.: Multigroup Analysis using SmartPLS: Step-by-Step Guidelines for Business Research, Asian Journal of Business Research, Volume 10 (2020), Issue 3, pp. 1-19.

Chin, W./ Cheah, J.-H./ Liu, Y./ Ting, H./ Lim, X.-J./ & Cham Tat, H.: Demystifying the Role of Causal-predictive Modeling Using Partial Least Squares Structural Equation Modeling in Information Systems Research, Industrial Management & Data Systems, Volume 120 (2020), Issue 12, pp. 2161-2209.

Cho, G./ Hwang, H./ Sarstedt, M./ Ringle, C.M.: Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis, Journal of Marketing Analytics, Volume 8 (2020), Issue 4, pp. 189-202.

Hair, J.F.: Next-generation Prediction Metrics for Composite-based PLS-SEM, Industrial Management & Data Systems, Volume 121 (2020), Issue 1, pp. 5-11.

Hair, J.F./ Howard, M.C./ Nitzl, C.: Assessing Measurement Model Quality in PLS-SEM Using Confirmatory Composite Analysis, Journal of Business Research, Volume 109 (2020), pp. 101-110. Also take a look here: https://www.unibw.de/ciss-en/methodpaper-nitzl-et-al

Hwang, H./ Sarstedt, M./ Cheah, J. H./ Ringle, C.M.: A Concept Analysis of Methodological Research on Composite-Based Structural Equation Modeling: Bridging PLSPM and GSCA, Behaviormetrika, Volume 47 (2020), pp. 219-241.

Rhemtulla, M./ van Bork, R./ Borsboom, D.: Worse Than Measurement Error: Consequences of Inappropriate Latent Variable Measurement Models, Psychological Methods, Volume 25 (2020), Issue 1, pp. 30-45.

Richter, N.F./ Schubring, S./ Hauff, S./ Ringle, C.M./ Sarstedt, M.: When Predictors of Outcomes are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA, Industrial Management & Data Systems, Volume 120 (2020), Issue 12, pp. 2243-2267.

Rigdon, E.E./ Sarstedt, M./ Becker, J.-M.: Quantify Uncertainty in Behavioral Research, Nature Human Behaviour, Volume 4 (2020), pp. 329-331.

Sarstedt, M./ Ringle, C.M./ Cheah, J.H./ Ting, H./ Moisescu, O.I./ Radomir, L.: Structural Model Robustness Checks in PLS-SEM, Tourism Economics, Volume 26 (2020), Issue 4, pp. 531-554.

Cheah, J.-H./ Ting, H., Ramayah, T./ Memon, M.A./ Cham, T.-H., Ciavolino, E.: A Comparison of Five Reflective–formative Estimation Approaches: Reconsideration and Recommendations for Tourism Research, Quality & Quantity, Volume 53 (2019), pp. 1421-1458.

Hair, J.F./ Ringle, C.M./ Gudergan, S.P./ Fischer, A./ Nitzl, C./ Menictas, C.: Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice, Business Research, Volume 12 (2019), pp. 115-140.

Hair, J.F./ Risher, J.J./ Sarstedt, M./ Ringle, C.M.: When to Use and How to Report the Results of PLS-SEM, European Business Review, Volume 31 (2019), Issue 1, pp. 2-24.

Hair, J.F./ Sarstedt, M.: Factors versus Composites: Guidelines for Choosing the Right Structural Equation Modeling Method, Project Management Journal, Volume 50 (2019), Issue 6, pp. 619-624.

Khan, G./ Sarstedt, M./ Shiau, W.-L./ Hair, J.F./ Ringle, C.M./ Fritze, M.: Methodological research on partial least squares structural equation modeling (PLS-SEM), Internet Research, Volume 29 (2019), Issue 3, pp. 407-429.

Memon, M.A./ Cheah, J.-H./ Ramayah, T./ Ting, H./ Chuah, F./ Cham, T.H. Moderation Analysis: Issues and Guidelines, Journal of Applied Structural Equation Modeling, Volume 3 (2019), Issue 1, pp. i-ix.

Rigdon, E.E./ Becker, J.-M./ Sarstedt, M.: Factor Indeterminacy as Metrological Uncertainty: Implications for Advancing Psychological Measurement, Multivariate Behavioral Research, Volume 54 (2019), Issue 3, pp. 429-443.

Rigdon, E.E./ Becker, J.-M./ Sarstedt, M.: Parceling Cannot Reduce Factor Indeterminacy in Factor Analysis: A Research Note, Psychometrika, Volume 84 (2019), Issue 3, pp. 772-780.

Sarstedt, M./ Cheah, J.-H.: Partial Least Squares Structural Equation Modeling Using SmartPLS: A Software Review, Journal of Marketing Analytics, Volume 7 (2019), pp. 196–202.

Sarstedt, M./ Hair, J.F./ Cheah, J.-H./ Becker, J.-M./ Ringle, C.M.: How to Specify, Estimate, and Validate Higher-order Constructs in PLS-SEM, Australasian Marketing Journal (AMJ), Volume 27 (2019), Issue 3, pp. 197-211.

Sharma, P.N./ Shmueli, G./ Sarstedt, M./ Thiele, K.O.: PLS-based Model Selection: The Role of Alternative Explanations in MIS Research, Journal of the Association for Information Systems, Volume 20 (2019), Issue 4, pp. 346-397.

Shiau, W.-L./ Sarstedt, M./ Hair, J.F.: Internet research using partial least squares structural equation modeling (PLS-SEM), Internet Research, Volume 29 (2019), Issue 3, pp. 398-406.

Shmueli, G./ Sarstedt, M./ Hair, J.F./ Cheah, J.-H./ Ting, H./ Vaithilingam, S./ Ringle, C.M.: Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict, European Journal of Marketing, Volume 53 (2019), Issue 11, pp. 2322-2347.

Avkiran, N.K./ Ringle, C.M. (2018): Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Berlin: Springer.

Becker, J.-M./ Ringle, C.M./ Sarstedt, M.: Estimating Moderating Effects in PLS-SEM and PLSc-SEM: Interaction Term GenerationxData Treatment, Journal of Applied Structural Equation Modeling, Volume 2 (2018), Issue 2, pp. 1-21.

Cheah, J.-H./ Sarstedt, M./ Ringle, C. M./ Ramayah, T./ Ting, H.: Convergent Validity Assessment of Formatively Measured Constructs in PLS-SEM: On Using Single-item versus Multi-item Measures in Redundancy Analyses, International Journal of Contemporary Hospitality Management, Volume 30 (2018), Issue 11, pp. 3192-3210.

Hult, G.T.M./ Hair, J.F./ Proksch, D./ Sarstedt, M./ Pinkwart, A./ Ringle, C.M.: Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling, Journal of International Marketing, Volume 26 (2018), Issue 3, pp. 1-21.

Memon, M.A./ Cheah, J.-H./ Ramayah, T./ Ting, H./ Chuah, F.: Mediation Analysis: Issues and Recommendations, Journal of Applied Structural Equation Modeling, Volume 2 (2018), Issue 1, pp. i-ix.

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., and Thiele, K. O. Mirror, Mirror on the Wall: A Comparative Evaluation of Composite-based Structural Equation Modeling Methods, Journal of the Academy of Marketing Science, forthcoming.

Hair, J. F., Hollingsworth, C. L., Randolph, A. B., and Chong, A. Y. L. An Updated and Expanded Assessment of PLS-SEM in Information Systems Research. Industrial Management & Data Systems, Volume 117(2017), Issue 3, pp. 442-458.

Rigdon, E. E., Sarstedt, M., & Ringle, C. M.: On Comparing Results from CB-SEM and PLS-SEM. Five Perspectives and Five Recommendations. Marketing ZFP, Volume 39 (2017), Issue 3, pp. 4-16.

Sarstedt, M./ Ringle, C.M./ Hair, J.F.: Partial Least Squares Structural Equation Modeling. In Homburg, C./ Klarmann, M./ Vomberg, A. (Eds.), Handbook of Market Research. Cham: Springer, 2017.

Becker, J.-M. and Ismail, I. R. Accounting for Sampling Weights in PLS Path Modeling: Simulations and Empirical Examples, European Management Journal, Volume 34 (2016), Issue 6, pp. 606-617.

Cepeda Carrión, G./ Henseler, J./ Ringle, C.M./ and Roldán, J.L.: Prediction-Oriented Modeling in Business Research by Means of PLS Path Modeling, Journal of Business Research, Volume 69 (2016), Issue 10, pp. 4545–4551.

Evermann, J./ Tate, M.: Assessing the Predictive Performance of Structural Equation Model Estimators, Journal of Business Research, Volume 69(2016), Issue 10, pp. 4565-4582.

Hair, J.F./ Sarstedt, M./ Matthews, L./ Ringle, C.M.: Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part I - Method, European Business Review, Volume 28 (2016), Issue 1, pp. 63-76.

Henseler, J./ Hubona, G.S./ and Ray, P.A.: Using PLS Path Modeling in New Technology Research: Updated Guidelines, Industrial Management & Data Systems, Volume 116 (2016), Issue 1, pp. 1-19.

Henseler, J./ Ringle, C.M./ Sarstedt, M.: Testing Measurement Invariance of Composites Using Partial Least Squares, International Marketing Review, Volume 33 (2016), Issue 3, pp. 405-431.

Matthews, L./ Sarstedt, M./ Hair, J.F./ Ringle, C.M.: Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part II – A Case Study, European Business Review, Volume 28 (2016), Issue 2, pp. 208-224.

Nitzl, C./ Roldán, J.L./ Cepeda Carrión, G.: Mediation Analysis in Partial Least Squares Path Modeling: Helping Researchers Discuss More Sophisticated Models, Industrial Management & Data Systems, Volume 119 (2016), Issue 9, pp. 1849-1864.

Richter, N.F./Cepeda Carrión, G./ Roldán, J.L./Ringle C.M.: European Management Research Using Partial Least Squares Structural Equation Modeling (PLS-SEM): Editorial, European Management Journal, Volume 34 (2016), Issue 6, pp. 589-97.

Ringle, C.M./ Sarstedt, M.: Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis, Industrial Management & Data Systems, Volume 119 (2016), Issue 9, 1865-1886.

Sarstedt, M./ Diamantopoulos, A./ Salzberger, T.: Should We Use Single Items? Better Not, Journal of Business Research, Vol. 69 (2016), Issue 8, pp. 3199-3203.

Sarstedt, M./ Diamantopoulos, A./ Salzberger, T./ Baumgartner, P.: Selecting Single Items to Measure Doubly-Concrete Constructs: A Cautionary Tale, Journal of Business Research, Volume 69 (2016), Issue 8, pp. 3159-3167.

Sarstedt, M./ Hair, J. F./ Ringle, C. M./ Thiele, K. O./ Gudergan, S. P.: Estimation Issues with PLS and CBSEM: Where the Bias Lies!, Journal of Business Research, Volume 69 (2016), Issue 10, pp. 3998-4010.

Sarstedt, M./ Ringle, C.M./ Gudergan, S.P.: Guidelines for Treating Unobserved Heterogeneity in Tourism Research: A Comment on Marques and Reis (2015), Annals of Tourism Research, Volume 57 (2016), Issue March, pp. 279-284.

Shiau, W.-L./ Chau, P.Y.K.: Understanding Behavioral Intention to Use a Cloud Computing Classroom: A Multiple Model-comparison Approach, Information & Management, Volume 53 (2016), Issue 3, pp. 355-365.

Schlittgen, R./ Ringle, C.M./ Sarstedt, M./ Becker, J.-M.: Segmentation of PLS Path Models by Iterative Reweighted Regressions, Journal of Business Research, Volume 69 (2016), Issue 10, pp. 4583–4592.

Schubring, S./ Lorscheid, I./ Meyer, M./ Ringle, C.M.: The PLS Agent: Predictive Modeling with PLS-SEM and Agent-based Simulation, Journal of Business Research, Volume 69 (2016), Issue 10, pp. 4604–4612.

Shmueli, G./ Ray, S./ Velasquez Estrada, J.M./ Chatla, S.B.: The Elephant in the Room: Evaluating the Predictive Performance of PLS Models, Journal of Business Research, Volume 69 (2016), Issue 10, pp. 4552–4564

Dijkstra, T. K./ Henseler, J. Consistent Partial Least Squares Path Modeling, MIS Quarterly (MISQ), Volume 39 (2015), Issue 2, pp. 297-316.

Dijkstra, T. K./ Henseler, J. Consistent and Asymptotically Normal PLS Estimators for Linear Structural Equations, Computational Statistics & Data Analysis, Volume 81 (2015), Issue 1, pp. 10-23.

Henseler, J./ Sarstedt, M./ Ringle, C.M.: A New Criterion for Assessing Discriminant Validity in Variance-Based Structural Equation Modeling, Journal of the Academy of Marketing Science, Volume 43 (2015), Issue 1, pp. 115-135.

Dijkstra, T. K./ Schermelleh-Engel, K. Consistent Partial Least Squares for Nonlinear Structural Equation Models, Psychometrika, Volume 79 (2014), Issue 4, pp. 585-604.

Hair, J.F./ Sarstedt, M./ Hopkins, L./ Kuppelwieser, V.G.: Partial Least Squares Structural Equation Modeling (PLS-SEM): An Emerging Tool in Business Research, European Business Review, Volume 26 (2014), Issue 2, pp. 106-121.

Rigdon, E. E., Becker, J.-M., Rai, A., Ringle, C. M., Diamantopoulos, A., Karahanna, E., Straub, D., Dijkstra, T. 2014. Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas, Information Systems Research, (25)4, 780-784.

Ringle, C.M./ Sarstedt, M./ Schlittgen, R.: Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling, OR Spectrum, Volume 36 (2014), Issue (1), pp. 251-276.

Sarstedt, M./ Ringle, C.M./ Hair, J.F.: PLS-SEM: Looking Back and Moving Forward, Long Range Planning, Volume 47 (2014), Issue 3, 132-137.

Becker, J.-M./ Rai, A/, Ringle, C.M./ Völckner, F.: Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats, MIS Quarterly (MISQ), Volume 37 (2013), Issue 3, pp. 665-694.

Ringle, C.M./ Sarstedt, M./ Schlittgen, R./ Taylor, C.R.: PLS Path Modeling and Evolutionary Segmentation, Journal of Business Research, Volume 66 (2013), Issue 9, pp. 1318-1324.

Ringle, C.M./ Sarstedt, M./ Schlittgen, R./ Taylor, C.R.: PLS Path Modeling and Evolutionary Segmentation, Journal of Business Research, Volume 66 (2013), Issue 9, pp. 1318-1324.

Hair, J. F./ Ringle, C.M./ Sarstedt, M.: Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance, Long Range Planning, Volume 46 (2013), Issue 1-2, pp. 1-12.

Henseler, J./ Dijkstra, T.K./ Sarstedt, M./ Ringle, C.M./ Diamantopoulos, A./ Straub, D.W./ Ketchen, D.J./ Hair, J.F./ Hult, G.T.M./ Calantone, R.J.: Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013), Organizational Research Methods, Volume 17 (2014), Issue 2, pp. 182-209.

Henseler, J./ Sarstedt, M: Goodness-of-Fit Indices for Partial Least Squares Path Modeling, Computational Statistics, Volume 28 (2013), Issue 2, pp. 565-580.

Becker, J.-M./ Klein, K./ Wetzels, M.: Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models, Long Range Planning, Volume 45 (2012), Issues 5-6, pp. 359-394.

Hair, J.F./ Ringle, C.M./Sarstedt, M.: Partial Least Squares: The Better Approach to Structural Equation Modeling?, Long Range Planning, Volume 45 (2012), Issue 5-6, pp. 312-319.

Henseler, J.: Why Generalized Structured Component Analysis is Not Universally Preferable to Structural Equation Modeling, Journal of the Academy of Marketing Science, Volume 40 (2012), Issue 3, pp. 402-413.

Henseler, J./ Ringle, C.M./Sarstedt, M.: Using Partial Least Squares Path Modeling in International Advertising Research: Basic Concepts and Recent Issues, in: Okazaki, S. (Ed.), Handbook of Research in International Advertising, Cheltenham: Edward Elgar Publishing, 2012, pp. 252-276.

Rigdon, E.E.: Rethinking Partial Least Squares Path Modeling: In Praise of Simple Methods, Long Range Planning, Volume 45 (2012), Issue 5-6, 341-358.

Sarstedt, M./ Ringle, C.M./ Henseler, J./ and Hair, J.F.: On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012), Long Range Planning, Volume 47 (2012), Issue 3, pp. 154-160.

Dijkstra, T. K./ Henseler, J.: Linear Indices in Nonlinear Structural Equation Models: Best Fitting Proper Indices and Other Composites, Quality & Quantity, Volume 45 (2011), Issue 6, pp. 1505-1518.

Hair, J.F./ Ringle, C.M./ Sarstedt, M.: PLS-SEM: Indeed a Silver Bullet, Journal of Marketing Theory and Practice, Volume 19 (2011), Issue 2, pp. 139-152.

Rigdon, E.E./ Ringle, C.M./ Sarstedt, M./ Gudergan, S.P.: Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and Within Industry Differences, Advances in International Marketing, Volume 22, Bingley 2011, pp. 169-194.

Sarstedt, M./ Becker, J.-M./ Ringle, C.M./ Schwaiger, M.: Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments?, Schmalenbach Business Review (sbr), Volume 63 (2011), Issue 1, pp. 34-62.

Sarstedt, M./ Henseler, J./ Ringle, C.M.: Multigroup Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results, Advances in International Marketing, Volume 22, Bingley 2011, pp. 195-218.

Dijkstra, T. K.: Latent Variables and Indices: Herman Wold’s Basic Design and Partial Least Squares, in: Esposito Vinzi, V./ Chin, W.W./ Henseler, J./ Wang, H. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (Handbooks of Computational Statistics Series, Vol. II), Heidelberg, Dordrecht, London, New York: Springer, 2010, pp. 23-46.

Henseler, J./ Chin, W.W.: A Comparison of Approaches for the Analysis of Interaction Effects Between Latent Variables Using Partial Least Squares Path Modeling, Structural Equation Modeling, Volume 17 (2010), Issue 1, pp. 82-109.

Henseler, J./ Fassott, G.: Testing Moderating Effects in PLS Path Models: An Illustration of Available Procedures, Esposito Vinzi, V./ Chin, W.W./ Henseler, J./ Wang, H. (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications (Handbooks of Computational Statistics Series, Vol. II), Heidelberg, Dordrecht, London, New York: Springer, 2010, pp. 713-735.

Rigdon, E.E./ Ringle, C.M./ Sarstedt, M.: Structural Modeling of Heterogeneous Data with Partial Least Squares, in: Malhotra, N.K. (ed.), Review of Marketing Research, Volume 7 (2010), Armonk, pp. 255-296.

Ringle, C.M./ Sarstedt, M./ Mooi, E.A.: Response-based Segmentation Using FIMIX-PLS: Theoretical Foundations and an Application to American Customer Satisfaction Index Data, in: Stahlbock, R./ Crone, S. F./ Lessmann, S. (eds.): Annals of Information Systems (AoIS), Volume 8, Berlin-Heidelberg 2010, 19-49.

Sarstedt, M./ Ringle, C.M.: Treating Unobserved Heterogeneity in PLS Path Modelling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies, Journal of Applied Statistics, Volume 37 (2010), Issue 8, pp. 1299-1318.

Reinartz, W. J./ Haenlein, M./ Henseler, J.: An Empirical Comparison of the Efficacy of Covariance-Based and Variance-Based SEM, International Journal of Research in Marketing, Volume 26 (2009), Issue 4, pp. 332-344.

Gudergan, S./ Ringle, C.M./ Wende, S./ Will, A.: Confirmatory Tetrad Analysis in PLS Path Modeling, Journal of Business Research, Volume 61 (2008), Issue 12, pp. 1238-1249.