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: Sarstedt, M./ Hair, J. F./ Ringle, C. M./ Thiele, K. O./ Gudergan, S. P.: [Estimation Issues with PLS and CBSEM: Where the Bias Lies!](http://www.sciencedirect.com/science/article/pii/S0148296316304404), Journal of Business Research, Volume 69 (2016), Issue 10, pp. 3998-4010


Forthcoming

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, forthcoming.

Becker, J.-M./ Proksch, D./ Ringle, C.M.:. Revisiting Gaussian Copulas to Handle Endogenous Regressors, Journal of the Academy of Marketing Science, forthcoming.

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, forthcoming.

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.

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, forthcoming.

Lamberti, G.: Hybrid Multigroup Partial Least Squares Structural Equation Modelling: An Application to Bank Employee Satisfaction and Loyalty, Quality & Quantity,forthcoming.

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, forthcoming.

Sarstedt, M./ Danks, N.P.: Prediction in HRM Research: A Gap Between Rhetoric and Reality. Human Resource Management Journal, forthcoming.

Sharma, P.N./ Shmueli, G./ Sarstedt, M./ Danks, N./ Ray, S.: Prediction-oriented Model Selection in Partial Least Squares Path Modeling, Decision Sciences, forthcoming.

2022

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.

2021

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.

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. (2021). 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./ 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.

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.

2020

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.

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.

2019

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), Issue April, 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.

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.

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.

2018

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.

2017

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. (2017). On Comparing Results from CB-SEM and PLS-SEM. Five Perspectives and Five Recommendations. Marketing ZFP, 39(3), 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.

2016

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.

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

2015

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.

2014

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.

2013

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.

2012

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.

2011

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.

2010

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.

2009

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.

2008

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.