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:

Angelelli, M./ Ciavolino, E./ Ringle, C.M./ Sarstedt, M./ Aria, M.: Conceptual Structure and Thematic Evolution in Partial Least Squares Structural Equation Modeling Research. Quality & Quantity, forthcoming.

Hair, J.F./ Babin, B.J./ Ringle, C.M./ Sarstedt, M./ Becker, J.-M.: Covariance-based Structural Equation Modeling (CB-SEM): A SmartPLS 4 Software Tutorial. Journal of Marketing Analytics, forthcoming.

Sarstedt, M./ Ringle, C.M./ Hair, J.F.: Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of Market Research (pp. 1-56). Springer Nature Switzerland, 2025.

Cefis, M./ Angelelli, M./ Carpita, M./ Ciavolino, E.: Detecting Causal Relations Among Indicators with the CTA Test: Simulations and Applications.. Social Indicators Research, Volume 178 (2025), pp. 393-417.

Gudergan, S.P./ Moisescu, O.I./ Radomir, L./ Ringle, C.M./ Sarstedt, M. (2024). Special Issue Editorial: Advanced Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Business Research. Journal of Business Research, Volume 188 (2025), 115087.

Guenther, P./ Guenther, M./ Ringle, C.M./ Zaefarian, G./ Cartwright, S.: PLS-SEM and Reflective Constructs: A Response to Recent Criticism and a Constructive Path Forward. Industrial Marketing Management, Volume 128 (2025), pp. 1-9.

Hauff, S./ Richter, N.F./ Ringle, C.M.: Human Resource Management Systems Research – How to Gain Impactful Insights Through Formative Measurement and Hierarchical Component Models. The International Journal of Human Resource Management, Volume 36 (2025), Issue 4, pp. 611-635.

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, Volume 53 (2025), pp. 279–299.

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, Volume 41 (2024), Issue 6, pp. 1100-1117.

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

Cepeda, G./ Roldán, J.L./ Sabol, M./ Hair, J.F./ Chong, A.Y.L. 2024. Emerging Opportunities for Information Systems Researchers to Expand Their PLS-SEM Analytical Toolbox. Industrial Management & Data Systems, Volume 124 (2024), Issue 6, pp. 2230–2250.

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.

Legate, A.E./ Ringle, C.M./ Hair, J.F.: PLS-SEM: A method Demonstration in the R Statistical Environment, Human Resource Development Quarterly, Volume 35 (2024), Issue 4. pp. 501-529.

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.

Rigdon, E.E.: Understanding Composite-Based Structural Equation Modeling Methods From the Perspective of Regression Component Analysis, Multivariate Behavioral Research, Volume 59 (2024), Issue 4, pp. 677-692.

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, Journal of Marketing Analytics, Volume 12 (2024), pp. 746–760.

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.

Cheah, J.-H./ Amaro, S./ Roldán, J.L.: Multigroup analysis of more than two groups in PLS-SEM: A review, illustration, and recommendations. Journal of Business Research, Volume 156 (2023), 113539.

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, 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.

Sabol, M./ Hair, J.F./ Cepeda, G./ Roldán, J.L./ Chong, A.Y.L.: PLS-SEM in Information Systems: Seizing the Opportunity and Marching Ahead Full Speed to Adopt Methodological Updates. Industrial Management & Data Systems, Volume 123 (2023), Issue 12, pp. 2997–3017.

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.

Ciavolino, E./ Aria, M./ Cheah, J.-H./ Roldán, J.L.: A tale of PLS Structural Equation Modelling: Episode I— A Bibliometrix Citation Analysis. Social Indicators Research, Volume 164 (2022), Issue 3, pp. 1323–1348.

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./ Nitzl, C./ Roldán, J.L./ Cepeda-Carrion, G./ Gudergan, S.P.: A Primer on the Conditional Mediation Analysis in PLS-SEM. ACM SIGMIS Database: The DATABASE for Advances in Information Systems, Volume 52 (2021), SI, pp. 43–100.

Cheah, J./ 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.

García-Fernández, J./ Fernández-Gavira, J./Sánchez-Oliver, A.J./ Gálvez-Ruíz, P./ Grimaldi-Puyana, M./ Cepeda-Carrion, G.: Importance-Performance Matrix Analysis (IPMA) to Evaluate Servicescape Fitness Consumer by Gender and Age. International Journal of Environmental Research and Public Health, Volume 17 (2020), Issue 18, pp. 1–19.

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.

Cepeda-Carrion, G./ Cegarra-Navarro, J.G./ Cillo, V.: Tips to Use Partial Least Squares Structural Equation Modelling (PLS-SEM) in Knowledge Management. Journal of Knowledge Management, Volume 23 (2019), Issue 1, pp. 67–89.

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./ 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./ 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.