Profile

Christian 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 an Adjunct Professor of the Waikato Management School, New Zealand. Furthermore, he holds the position as Fulbright Liaison Professor in Germany. 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. Ringle has been included in the 2018 and 2019 Clarivate Analytics' Highly Researchers list. He offers online courses and regularly teaches doctoral seminars on multivariate statistics, especially the PLS-SEM method, and the use of the statistical software such as SmartPLS.

 

 

Author Impact

Prof. Ringle's research has been cited more than 70,000 times.

     

 

Top citation

Ringle, C. M., Wende, S., & Will, A.: SmartPLS 2.0, Hamburg 2005, www.smartpls.de.

Most often (top 3) cited papers in English

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151 [Link]

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-319, ed. Sinkovics, R. R. & Ghauri, P., Bingley: Emerald, [Link]

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science (JAMS), 40(3), 414-433 [Link]

 

Publications

Journal Articles

2020

Chaouali, W., Souiden, N., & Ringle, C. M. (2020, in press). Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspctive, Wisdom and Emotional Intelligence, Journal of Services Marketing. https://doi.org/10.1108/JSM-08-2019-0318

Cho, G., Hwang, H., Sarstedt, M., & Ringle, C. M. (2020). Cutoff Criteria for Overall Model Fit Indexes in Generalized Structured Component Analysis, Journal of Marketing Analytics. doi.org/10.1057/s41270-020-00089-1

Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. M. (2020, in press). This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research, Higher Education. https://doi.org/10.1007/s10734-020-00534-1.

Hwang, H., Sarstedt, M., Cheah, J. H., & Ringle, C. M. (2020). A Concept Analysis of Methodological Research on Composite-Based Structural Equation Modeling: Bridging PLSPM and GSCA, Behaviormetrika, 47, 219-241. https://doi.org/10.1007/s41237-019-00085-5.

Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2020, in press). Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling, Decision Sciences.https://doi.org/10.1111/deci.12445.

Richter, N. F., Schubring, S., Hauff, S., Ringle, C. M., & Sarstedt, M. (2020, in press). When Predictors of Outcomes Are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA, Industrial Management & Data Systems. https://doi.org/10.1108/IMDS-11-2019-0638

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), 1617-1643. http://doi.org/10.1080/09585192.2017.1416655

Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020, in press). Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, 1-12. https://doi.org/10.1177/1470785320915686

Sarstedt, M. & Ringle, C. M. (2020). Structural Equation Models: From Path to Networks (Westland 2019), Psychometrika. https://doi.org/10.1007/s11336-020-09719-0

Sarstedt, M., Ringle, C. M., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2020). Structural Model Robustness Checks in PLS-SEM, Tourism Economics, 26(4), 531-554. https://doi.org/10.1177/1354816618823921

Schlittgen, R., Sarstedt, M., & Ringle, C. M. (2020, in press). Data Generation for Composite-Based Structural Equation Modeling Methods, Advances in Data Analysis and Classification, 1-11.https://doi.org/10.1007/s11634-020-00396-6.

2019

Ahrholdt, D. C., Gudergan, S. P., & Ringle, C. M. (2019). Enhancing Loyalty: When Improving Consumer Satisfaction and Delight Matters. Journal of Business Research, 94, 18-27. http://doi.org/10.1016/j.jbusres.2018.08.040

Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice. Business Research, 12, 115-140. http://doi.org/10.1007/s40685-018-0072-4

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. https://doi.org/10.1108/EBR-11-2018-0203

Hair, J. F., Sarstedt, M., Ringle, C. M. (2019). Rethinking Some of the Rethinking of Partial Least Squares, European Journal of Marketing, 53(4), 566-584. https://doi.org/10.1108/EJM-10-2018-0665

Khan, G. F., Sarstedt, M., Shiau, W.-L., Hair, J. F., Ringle, C. M., & Fritze, M. P. (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. https://doi.org/10.1108/IntR-12-2017-0509

Kotilainen, K., Saari, U. A., Mäkinen, S. J., & Ringle, C. M. (2019). Exploring the Microfoundations of End-user Interests toward Co-creating Renewable Energy Technology Innovations, Journal of Cleaner Production, 229, 203-212. doi.org/10.1016/j.jclepro.2019.04.296

Nunkoo, R., Teeroovengadum, V., Ringle, C. M., & Sunnassee, V. (2019, in press). Service Quality and Customer Satisfaction: The Moderating Effects of Hotel Star Rating, International Journal of Hospitality Management. doi.org/10.1016/j.ijhm.2019.102414

Sarstedt, M., Hair, J. F., Cheah, J.-H., 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.  doi.org/10.1016/j.ausmj.2019.05.003

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive Model Assessment in PLS-SEM: Guidelines for Using PLSpredict, European Journal of Marketing, 53(11), 2322-2347. https://doi.org/10.1108/EJM-02-2019-0189

2018

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. The International Journal of Contemporary Hospitality Management 30(1), 514-538. http://doi.org/10.1108/IJCHM-10-2016-0568

Avkiran, N. K., Ringle, C. M., & Low, R. K. Y. (2018). Monitoring Transmission of Systemic Risk: Application of Partial Least Squares Structural Equation Modeling in Financial Stress Testing. Journal of Risk, 20(5), 83-115. doi: 10.21314/JOR.2018.386. http://doi.org/10.21314/JOR.2018.386

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.

Cheah, J.-H., Sarstedt, M., Ringle, C. M., Ramayah, T., & Ting, H. (2018). 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, 30(11), 3192-3210. http://doi.org/10.1108/IJCHM-10-2017-0649

Hult, G. T. M., Hair, J. F., Proksch, D., Sarstedt, M., Pinkwart, A., & Ringle, C. M. (2018). Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling. Journal of International Marketing, 26(3), 1-21. doi: 10.1509/jim.17.0151. http://doi.org/10.1509/jim.17.0151

Kawalla, C., Höck, M., Ullmann, M., & Ringle, C. M. (2018). An Empirical Examination of the Thickness Profile Formation of Twin-Roll-Cast Magnesium Strips. Archives of Civil and Mechanical Engineering, 18(1), 227-234. doi: 10.1016/j.acme.2017.06.006. http://dx.doi.org/10.1016/j.acme.2017.06.006

Latan, H., Ringle, C. M., & Chiappetta Jabbour, C. J. (2018). Whistleblowing Intentions Among Public Accountants in Indonesia: Testing for the Moderation Effects. Journal of Business Ethics, 152(2), 573-588. doi: 10.1007/s10551-016-3318-0. http://dx.doi.org/10.1007/s10551-016-3318-0

Rosenbusch, J., Ismail, I. R., & Ringle, C. M. (2018). The Agony of Choice for Medical Tourists: A Patient Satisfaction Index Model. Journal of Hospitality and Tourism Technology, 9(3), 267-279. http://dx.doi.org/10.1108/JHTT-10-2017-0107

Schirmer, N., Ringle, C. M., Gudergan, S. P., & Feistel, M. S. G. (2018). The Link between Customer Satisfaction and Loyalty: The Moderating Role of Customer Characteristics. Journal of Strategic Marketing, 26(4), 298-317. http://dx.doi.org/10.1080/0965254X.2016.1240214

2017

Ahrholdt, D. C., Gudergan, S. P., & Ringle, C. M. (2017). Enhancing Service Loyalty: The Roles of Delight, Satisfaction, and Service Quality. Journal of Travel Research, 56(4), 436-450. http://dx.doi.org/10.1177/0047287516649058

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science (JAMS), 45(5), 616-632. http://dx.doi.org/10.1007/s11747-017-0517-x

Rasoolimanesh, S. M., Ringle, C. M., Jaafar, M., & Ramayah, T. (2017). Urban vs. rural destinations: Residents’ perceptions, community participation and support for tourism development. Tourism Management, 60, 147-158. http://dx.doi.org/10.1016/j.tourman.2016.11.019

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. http://dx.doi.org/10.15358/0344-1369-2017-3-4

2016

Cepeda Carrión, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Prediction-oriented modeling in business research by means of PLS path modeling: Introduction to a JBR special section. Journal of Business Research, 69(10), 4545–4551. http://dx.doi.org/10.1016/j.jbusres.2016.03.048

Hair, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: part I – method. European Business Review, 28(1), 63-76. http://dx.doi.org/10.1108/EBR-09-2015-0094

Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405-431. http://dx.doi.org/10.1108/IMR-09-2014-0304

Matthews, L. M., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2016). Identifying and treating unobserved heterogeneity with FIMIX-PLS: Part II - A case study. European Business Review, 28(2), 208-224. http://dx.doi.org/10.1108/EBR-09-2015-0095

Relling, M., Schnittka, O., Ringle, C. M., Sattler, H., & Johnen, M. (2016). Community Members' Perception of Brand Community Character: Construction and Validation of a New Scale. Journal of Interactive Marketing, 36, 107-120. http://dx.doi.org/10.1016/j.intmar.2016.07.002

Richter, N. F., Cepeda Carrión, G., Roldán, J. L., & Ringle, C. M. (2016). European management research using partial least squares structural equation modeling (PLS-SEM). European Management Journal, 34(6), 589-597. http://dx.doi.org/10.1016/j.emj.2016.08.001

Richter, N. F., Hauff, S., Schlägel, C., Gudergan, S., Ringle, C. M., & Gunkel, M. (2016). Using Cultural Archetypes in Cross-cultural Management Studies. Journal of International Management, 22(1), 63-83. http://dx.doi.org/10.1016/j.intman.2015.09.001

Richter, N. F., Sinkovics, R. R., Ringle, C. M., & Schlägel, C. (2016). A critical look at the use of SEM in international business research. International Marketing Review, 33(3), 376-404. http://dx.doi.org/10.1108/IMR-04-2014-0148

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), 1865-1886. http://dx.doi.org/10.1108/IMDS-10-2015-0449

Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. (2016). Estimation issues with PLS and CBSEM: Where the bias lies!. Journal of Business Research, 69(10), 3998-4010. http://dx.doi.org/10.1016/j.jbusres.2016.06.007

Sarstedt, M., Ringle, C. M., & Gudergan, S. (2016). Guidelines for treating unobserved heterogeneity in tourism research: A comment on Marques and Reis (2015). Annals of Tourism Research, 57, 279-284. http://dx.doi.org/10.1016/j.annals.2015.10.006

Schlittgen, R., Ringle, C. M., Sarstedt, M., & Becker, J.-M. (2016). Segmentation of PLS path models by iterative reweighted regressions. Journal of Business Research, 69(10), 4583-4592. http://dx.doi.org/10.1016/j.jbusres.2016.04.009

Schubring, S., Lorscheid, I., Meyer, M., & Ringle, C. M. (2016). The PLS agent: Predictive modeling with PLS-SEM and agent-based simulation. Journal of Business Research, 69(10), 4604-4612. http://dx.doi.org/10.1016/j.jbusres.2016.03.052

2015

Becker, J.-M., Ringle, C. M., Sarstedt, M., & Völckner, F. (2015). How Collinearity Affects Mixture Regression Results. Marketing Letters, 26(4), 643-659. http://dx.doi.org/10.1007/s11002-014-9299-9

Bido, D., da Silva, D., & Ringle, C. M. (2015). Structural Equation Modeling with the SmartPLS. Brazilian Journal of Marketing, 13(2). [Link]

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), 115-135. http://dx.doi.org/10.1007/s11747-014-0403-8

2014

Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182-209. http://dx.doi.org/10.1177/1094428114526928

Rigdon, E. E., Becker, J.-M., Rai, A., Ringle, C. M., Diamantopoulos, A., Karahanna, E., Straub, D., & Dijkstra, T. K. (2014). Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas. Information Systems Research, 25(4), 780-784. http://dx.doi.org/10.1287/isre.2014.0543

Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2014). Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling. OR Spectrum, 36(1), 251-276. http://dx.doi.org/10.1007/s00291-013-0320-0

Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2014). Online Appendix: Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling. OR Spectrum, 36(1), Supplementary material (available online). http://dx.doi.org/10.1007/s00291-013-0320-0

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2014). PLS-SEM: Looking Back and Moving Forward. Long Range Planning, 47(3), 132-137. http://dx.doi.org/10.1016/j.lrp.2014.02.008

Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014). On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012). Long Range Planning, 47(3), 154-160. http://dx.doi.org/10.1016/j.lrp.2014.02.007

Sarstedt, M., Ringle, C. M., Raithel, S., & Gudergan, S. P. (2014). In Pursuit of Understanding What Drives Fan Satisfaction. Journal of Leisure Research, 46(4), 419-447. http://dx.doi.org/10.2139/ssrn.2117000

Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers. Journal of Family Business Strategy, 5(1), 105-115. http://dx.doi.org/10.1016/j.jfbs.2014.01.002

Schloderer, M. P., Sarstedt, M., & Ringle, C. M. (2014). The Relevance of Reputation in the Nonprofit Sector: The Moderating Effect of Socio-Demographic Characteristics. International Journal of Nonprofit and Voluntary Sector Marketing, 19(2), 110-126. http://dx.doi.org/10.1002/nvsm.1491

2013

Becker, J.-M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. MIS Quarterly, 37(3), 665-694. [Link]

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance. Long Range Planning, 46(1-2), 1-12. http://dx.doi.org/10.1016/j.lrp.2013.01.001

Klarner, P., Sarstedt, M., Höck, M., & Ringle, C. M. (2013). Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams. Long Range Planning, 46(3), 258-286. http://dx.doi.org/10.1016/j.lrp.2013.03.001

Ringle, C. M., Ladwig, T. J., & Richter, N. F. (2013). Konvergenz von Kulturen. Das Wirtschaftsstudium (WISU), 42(7), 925-931.

Ringle, C. M., Sarstedt, M., Schlittgen, R., & Taylor, C. R. (2013). PLS Path Modeling and Evolutionary Segmentation. Journal of Business Research, 66(9), 1318-1324. http://dx.doi.org/10.1016/j.jbusres.2012.02.031

2012

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, 45(5-6), 312-319. http://dx.doi.org/10.1016/j.lrp.2012.09.011

Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. Long Range Planning, 45(5-6), 320-340. http://dx.doi.org/10.1016/j.lrp.2012.09.008

Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Journal of the Academy of Marketing Science (JAMS), 40(3), 414-433. http://dx.doi.org/10.1007/s11747-011-0261-6

Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). A Critical Look at the Use of PLS-SEM. MIS Quarterly, 36(1), iii-xiv. doi: 10.2307/41410402

2011

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet. Journal of Marketing Theory and Practice, 19(2), 139-151. http://dx.doi.org/10.2753/MTP1069-6679190202

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). The Use of Partial Least Squares (PLS) to Address Marketing Management Topics: From the Special Issue Guest Editors. Journal of Marketing Theory and Practice, 19(2), 135-138.

Höck, M., & Ringle, C. M. (2011). Does Speed Really Matter When it Comes to Alliance Performance? The Polish Journal of Management Studies, 2(1), 81-105.

Höck, M., Ringle, C. M., & Sarstedt, M. (2011). Einfluss der internen Qualität auf die Servicequalität und Kundenzufriedenheit: Eine explorative Analyse von Unternehmensberatungsprojekten. Die Betriebswirtschaft (DBW), 71(6), 577-597.

Kocyigit, O., & Ringle, C. M. (2011). The Impact of Brand Confusion on Sustainable Brand Satisfaction and Private Label Proneness: A Subtle Decay of Brand Equity. Journal of Brand Management, 19(3), 195-212. http://dx.doi.org/10.1057/bm.2011.32

Rigdon, E. E., Ringle, C. M., Sarstedt, M., & Gudergan, S. P. (2011). Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and within Industry Differences. Advances in International Marketing, 22, 169-194. http://dx.doi.org/10.1108/S1474-7979(2011)0000022011

Ringle, C. M., Sarstedt, M., & Zimmermann, L. (2011). Customer Satisfaction with Commercial Airlines: The Role of Perceived Safety and Purpose of Travel. Journal of Marketing Theory and Practice, 19(4), 459-472. http://dx.doi.org/10.2753/MTP1069-6679190407

Sarstedt, M., Becker, J.-M., Ringle, C. M., & Schwaiger, M. (2011). Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? Schmalenbach Business Review (sbr), 63(1), 34-62. https://doi.org/10.1007/BF03396886

Sarstedt, M., Henseler, J., & Ringle, C. M. (2011). Multi-Group Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results. Advances in International Marketing, 22, 195-218. http://dx.doi.org/10.1108/S1474-7979(2011)0000022012

2010

Höck, C., Ringle, C. M., & Sarstedt, M. (2010). Management of Multi-Purpose Stadiums: Importance and Performance Measurement of Service Interfaces. International Journal of Services Technology and Management, 14(2/3), 188-207. http://dx.doi.org/10.1504/IJSTM.2010.034327

Höck, M., & Ringle, C. M. (2010). Local Strategic Networks in the Software Industry: An Empirical Analysis of the Value Continuum. International Journal of Knowledge Management Studies, 4(2), 132-151. http://dx.doi.org/10.1504/IJKMS.2010.030789

Rigdon, E. E., Ringle, C. M., & Sarstedt, M. (2010). Structural Modeling of Heterogeneous Data with Partial Least Squares. Review of Marketing Research, 7, 255-296. http://dx.doi.org/10.1108/S1548-6435(2010)0000007011

Sarstedt, M., & Ringle, C. M. (2010). Treating Unobserved Heterogeneity in PLS Path Modeling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies. Journal of Applied Statistics, 37(8), 1299-1318. http://dx.doi.org/10.1080/02664760903030213

Sattler, H., Völckner, F., Riediger, C., & Ringle, C. M. (2010). The Impact of Brand Extension Success Factors on Brand Extension Price Premiums. International Journal of Research in Marketing (IJRM), 27(4), 319-328. http://dx.doi.org/10.1016/j.ijresmar.2010.08.005

Völckner, F., Sattler, H., Hennig-Thurau, T., & Ringle, C. M. (2010). The Role of Parent Brand Quality for Service Brand Extension Success. Journal of Service Research (JSR), 13(4), 379-396. http://dx.doi.org/10.1177/1094670510370054

2009

Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-320. http://dx.doi.org/10.1108/S1474-7979(2009)0000020014

Sarstedt, M., Schwaiger, M., & Ringle, C. M. (2009). Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity. Journal of Business Market Management, 3(3), 185-206. http://dx.doi.org/10.1007/s12087-009-0023-7

2008

Boysen, N., & Ringle, C. M. (2008). Die Definition in der betriebswirtschaftlichen Forschung: Reflexionen und empirischer Befund. Zeitschrift für Betriebswirtschaft, 78(1), 9-33. http://dx.doi.org/10.1007/s11573-008-0002-6

Boysen, N., & Ringle, C. M. (2008). Über die Wirkung der Optionsbündelung auf die Ablaufplanung einer Variantenfließfertigung. Zeitschrift für Planung und Unternehmenssteuerung, 18(3), 301-321. http://dx.doi.org/10.1007/s00187-007-0031-2

Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory Tetrad Analysis in PLS Path Modeling. Journal of Business Research, 61(12), 1238-1249. http://dx.doi.org/10.1016/j.jbusres.2008.01.012

Sarstedt, M., & Ringle, C. M. (2008). Heterogenität in varianzbasierter Strukturgleichungsmodellierung: Eine Analyseprozedur zur systematischen Anwendung von FIMIX-PLS. Marketing ZFP, 30(4), 239-255.

2007

Höck, C., Höck, M., & Ringle, C. M. (2007). Fußball-Arenen - PLS-Pfadanalyse zur Messung der Besucherzufriedenheit. Das Wirtschaftsstudium, 36(12), 1564-1570.

Höck, C., & Ringle, C. M. (2007). Analyse der Zufriedenheit von Besuchern moderner Multifunktionsarenen: Eine kausalanalytische Untersuchung und indexwertorientierte Ergebnisbeurteilung. Marketing ZFP, 29(3), 181-193.

Ringle, C. M., & Spreen, F. (2007). Beurteilung der Ergebnisse von PLS-Pfadanalysen. Das Wirtschaftsstudium, 36(2), 211-216.

2006

Hansmann, K.-W., & Ringle, C. M. (2006). Zur Eignung von Virtuellen Unternehmungen als Kooperationsform in Zeiten raschen Wandels. Zeitschrift für Management, 1(2), 94-111. http://dx.doi.org/10.1007/s12354-006-0007-4

Ringle, C. M., Boysen, N., Wende, S., & Will, A. (2006). Messung von Kausalmodellen mit dem Partial-Least-Squares-Verfahren. Das Wirtschaftsstudium, 35(1), 81-87.

Ringle, C. M., & Kiyota, T. (2006). Der genossenschaftliche Bankensektor in Japan - Gegenwärtiger Stand und Perspektiven. BankArchiv, 54(3), 161-166.

2005

Hansmann, K.-W., & Ringle, C. M. (2005). Erfolgsmessung und Erfolgswirkung Virtueller Unternehmungen. Zeitschrift Führung + Organisation, 74(1), 11-17.

Hansmann, K.-W., & Ringle, C. M. (2005). Wirkung einer Teilnahme an Unternehmensnetzwerken auf die strategischen Erfolgsfaktoren der Partnerunternehmen: Eine empirische Untersuchung. Die Unternehmung, 59(3), 217-236.

Ringle, C. M. (2005). Genossenschaftsbanken in Japan. Die Gewerbliche Genossenschaft, 133(9), 19-22.

Ringle, C. M. (2005). Integration von Market-based View und Resource-based View des strategischen Managements: Das Kooperationskonzept der Virtuellen Unternehmung. Der Betriebswirt 46(1), 9-18.

Ringle, C. M., Boysen, N. (2005). Ameisen-Algorithmen und das Hochzeitsproblem. Das Wirtschaftsstudium (WISU), 34(3), 327-332.

Ringle, C. M., Hansmann, K.-W., & Boysen, N. (2005). Erfolgswirkung einer Partizipation an Virtuellen Unternehmungen. Zeitschrift für Planung und Unternehmenssteuerung, 16(2), 147-166. http://dx.doi.org/10.1007/BF02848576

2004

Hansmann, K.-W., & Ringle, C. M. (2004). Das Kooperationskonzept des Virtuellen Unternehmens. Das Wirtschaftsstudium, 33(10), 1222-1230.

Ringle, C. M. (2004). Die Virtuelle Unternehmung - Ausprägungsformen und Abgrenzung. Der Betriebswirt, 45(2), 21-29. doi: doi.org/10.1515/zfgg-2004-0138

Ringle, C. M. (2004). Ein europäisches Spitzeninstitut der Genossenschaftsbanken - Vision oder Illusion? Zeitschrift für das gesamte Genossenschaftswesen, 54(4), 260-268.

Books

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G. A., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, OmniaScience Scholar. ISBN: 978-84-947996-2-4. [Link]

Hair, J. F., Sarstedt, M., Ringle, C. M., Gudergan, S. P., & Tang, J. (2019). 進階結構方程模式. Thousand Oaks: Sage. ISBN: 978-986-266-199-4.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2019). Những vấn đề nâng cao trong mô hình phương trình cấu trúc bình phương tối thiểu riêng phần. ISBN: 978-604-792-003-7.

Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. Thousand Oaks: Sage. ISBN-13: 978-1-4833-7739-1 [Link]

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Richter, N. F., & Hauff, S. (2017). Partial Least Squares Strukturgleichungsmodellierung (PLS-SEM): Eine anwendungsorientierte Einführung. Vahlen: Munich. ISBN-13: 978-3-8006-5360-7 [Link]

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, Thousand Oaks: Sage. ISBN-13: 978-1-4833-7744-5 [Link]

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). 結構方程模式: 偏最小平方法 PLS-SEM. Thousand Oaks: Sage. ISBN: 978-986-266-141-3.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage. ISBN-13: 978-1-4522-1744-4

Ringle, C. M., & Kiyota, T. (2005). Der genossenschaftliche Bankensektor in Japan. Hamburg: Mauke. ISBN-13: 978-3-9315-1859-2

Ringle, C. M. (2004). Kooperation in Virtuellen Unternehmungen: Auswirkungen auf die strategischen Erfolgsfaktoren der Partnerunternehmen. Hamburg: Deutscher Universitätsverlag. ISBN-13: 978-3-8244-9140-7. [Link]

Bickhoff, N., Böhmer, C., Eilenberger, G., Hansmann, K.-W., Niggemann, M., Ringle, C. M., Spremann, K., & Tjaden, G. (2003). Mit Virtuellen Unternehmen zum Erfolg: Ein Quick-Check für Manager. Berlin: Springer. ISBN-13: 978-3-540-44246-2. [Link]

Ringle, C. M. (2003). Die genossenschaftlichen Bankenverbünde in Deutschland und in den Niederlanden: Perspektiven für eine europaweite Kooperation. Hamburg: Mauke. ISBN-13: 978-3-9315-1843-1

Book Sections

Boekholt, J.-O., Richter, N. F., & Ringle, C. M. (2019). Zur Erfolgsrelevanz von Teamgröße und Diversität: Eine Analyse am Beispiel von Führungsteams in der Luftfahrtindustrie. In: Schröder, M. & Wegner, K. (Eds.), Logistik im Wandel der Zeit - Von der Produktionssteuerung zu vernetzten Supply Chains: Eine Festschrift für Wolfgang Kersten zum 60. Geburtstag, 733-746, Wiesbaden: Springer. ISBN: 978-3-658-25412-4. [Link].

Ringle, C. M. (2019). What Makes a Great Textbook? Lessons Learned from Joe Hair. In: Babin, B. J., Sarstedt, M. (Eds.), The Great Facilitator - Reflections on the Contributions of Joseph F. Hair, Jr. to Marketing and Business Research, 131-150, Cham: Springer. ISBN: 978-3-030-06030-5. [Link]

Hegner-Kakar, A.-K., Richter, N. F., & Ringle, C. M. (2018). The Customer Loyalty Cascade and Its Impact on Profitability in Financial Services. In N. K. Avkiran & C. M. Ringle (Eds.), Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance (pp. 53-75). Berlin: Springer. doi: 10.1007/978-3-319-71691-6_3 [Link]

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Partial Least Squares Structural Equation Modeling. In C. Homburg, M. Klarmann & A. Vomberg (Eds.), Handbook of Market Research (pp. 1-40). Heidelberg: Springer. [Link]

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Treating Unobserved Heterogeneity in PLS-SEM: A Multi-method Approach. In H. Latan & R. Noonan (Eds.), Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications (pp. 197-217). Cham: Springer International Publishing. [Link]

Ahrholdt, D. C., Gudergan, S. P., & Ringle, C. M. (2016). What Drives Customer Loyalty? Nonlinear Effects of Customer Delight and Satisfaction on Loyalty and the Moderating Role of Service Experience. In C. Campbell & J. J. Ma (Eds.), Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing (pp. 742-750). Cham: Springer International Publishing. [Link]

Thiele, K. O., Sarstedt, M., & Ringle, C. M. (2016) Mirror, Mirror on the Wall: A Comparative Evaluation of Six Structural Equation Modeling Methods. In: Kim, K. (Eds.), Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing?. Developments in Marketing Science: Proceedings of the Academy of Marketing Science (pp.991-992). Cham: Springer. https://doi.org/10.1007/978-3-319-26647-3_212

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

Ringle, C. M., Sarstedt, M., & Mooi, E. A. (2010). Response-based Segmentation Using Finite Mixture Partial Least Squares: Theoretical Foundations and an Application to American Customer Satisfaction Index Data. In R. Stahlbock, S. F. Crone & S. Lessmann (Eds.), Annals of Information Systems (Vol. 8, pp. 19-49). Boston: Springer. [Link]

Ringle, C. M., Wende, S., & Will, A. (2010). Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples. In V. Esposito Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Areas (pp. 195-218). Heidelberg: Springer. [Link]

Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2009). Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models. In A. Fink, B. Lausen, W. Seidel & A. Ultsch (Eds.), Advances in Data Analysis, Data Handling and Business Intelligence (pp. 167-176). Berlin, Heidelberg: Springer. [Link]

Sarstedt, M., & Ringle, C. M. (2009). Erfassung unbeobachteter Heterogenität in varianzbasierter Strukturgleichungsmodellierung mit FIMIX-PLS. In A. Meyer & M. Schwaiger (Eds.), Theorien und Methoden der Betriebswirtschaft: Handbuch für Wissenschaftler und Studierende (pp. 593-617). München: Vahlen. [Link]

Schloderer, M., Ringle, C. M., & Sarstedt, M. (2009). Einführung in varianzbasierte Strukturgleichungsmodellierung: Grundlagen, Modellevaluation und Interaktionseffekte am Beispiel von SmartPLS. In A. Meyer & M. Schwaiger (Eds.), Theorien und Methoden der Betriebswirtschaft: Handbuch für Wissenschaftlicher und Studierende (pp. 564-592). München: Vahlen. [Link]

Boysen, N., Höck, C., Höck, M., & Ringle, C. M. (2008). Zum Einsatz quantitativer Methoden in der betriebswirtschaftlichen Forschung: Bestandsaufnahme und Perspektiven. In M. Höck & K.-I. Voigt (Eds.), Operations Management in Theorie und Praxis: Aktuelle Entwicklungen des Industriellen Managements (pp. 1-25). Wiesbaden: Gabler. [Link]

Boysen, N., Ringle, C. M. (2006). Optionsbündelung und Fertigungsablauf in der Automobilindustrie. In H.-D.- Haasis, H. Kopfer, J. Schönberger (Eds.), Operations Research Proceedings 2005 (pp. 149-154). Berlin, Heidelberg: Springer. [Link]

Ringle, C. M. (2005). Erfolgswirkung strategischer Allianzen aus Sicht der Kooperationspartner. In F. W. Bliemel, A. Eggert, G. Fassott & J. Henseler (Eds.), Handbuch PLS-Pfadmodellierung: Methode, Anwendung, Praxisbeispiele (pp. 307-320). Stuttgart: Schäffer-Poeschel.

Ringle, C. M., & Hansmann, K.-W. (2005). Enterprise-Networks and Strategic Success: An Empirical Analysis. In T. Theurl & E. C. Meyer (Eds.), Strategies for Cooperation (pp. 133-152). Aachen: Shaker.

Ringle, C. M., Hansmann, K.-W., & Boysen, N. (2005). Determinanten einer erfolgreichen Kooperation in Netzwerken. In D. Ahlert, R. Olbrich & H. Schröder (Eds.), Jahrbuch Vertriebs- und Handelsmanagement 2005: Netzwerkmanagement in Vertrieb, Handel und Dienstleistung (pp. 55-72). Berlin: Deutscher Fachverlag.

Hansmann, K.-W., & Ringle, C. M. (2004). Erfolgswirkungen von Kooperationen kleiner und mittlerer Unternehmen - eine vergleichende Analyse. In J.-A. Meyer (Ed.), Kooperationen von KMU in Europa - Jahrbuch der KMU-Forschung und -Praxis 2004 (pp. 11-30). Lohmar: Josef Eul Verlag.

Hansmann, K.-W., & Ringle, C. M. (2003). Erfolgsfaktoren Virtueller Unternehmen. In H. Jahnke & W. Brüggemann (Eds.), Betriebswirtschaftslehre und betriebliche Praxis (pp. 49-79). Wiesbaden: Deutscher Universitäts-Verlag.

Edited Books

Jahn, C., Kersten, W., & Ringle, C. M. (Eds.). (2019). Digital Transformation in Maritime and City Logistics. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-750249-49-3. [Link]

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2019). Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-750249-47-9. [Link]

Avkiran, N. K. & Ringle, C. M. (Eds.). (2018). Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Berlin, Germany: Springer. ISBN-13: 978-3-3197-1690-9 [Link]

Ringle, C. M., Blecker, T., Kersten, W. (Eds.). (2018). The Road to a Digitalized Supply Chain Management. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-746765-35-8. [Link]

Ringle, C. M., Kersten, W., Jahn, C. (Eds.). (2018). Logistics 4.0 and Sustainable Supply Chain Management. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-746765-36-5. [Link]

Jahn, C., Kersten, W., & Ringle, C. M. (Eds.). (2017). Digitalization in Maritime and Sustainable Logistics. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-7450-4332-7. [Link]

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2017). Digitalization in Supply Chain Management and Logistics. Berlin, Germany: epubli GmbH. ISBN-13: 9783745043280. [Link]

Blecker, T., Kersten, W., & Ringle, C. M. (Eds.). (2015). Operational Excellence in Logistics and Supply Chains. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-7375-4056-8. [Link]

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2015). Innovations and Strategies for Logistics and Supply Chains. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-7375-7805-9. [Link]

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2015). Sustainability in Logistics and Supply Chain Management. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-7375-6206-5. [Link]

Blecker, T., Kersten, W., & Ringle, C. M. (Eds.). (2014). Innovative Methods in Logistics and Supply Chain Management. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-7375-0341-9. [Link]

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2014). Next Generation Supply Chains. Berlin, Germany: epubli GmbH. ISBN-13: 978-3-8442-9879-6. [Link]

Blecker, T., Kersten, W., & Ringle, C. M. (Eds.). (2013). Pioneering Solutions in Supply Chain Performance Management. Lohmar: Josef Eul. ISBN-13: 978-3-8441-0267-3

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2013). Sustainability and Collaboration in Supply Chain Management. Lohmar: Josef Eul. ISBN-13: 978-3-8441-0266-6

Blecker, T., Kersten, W., & Ringle, C. M. (Eds.). (2012). Pioneering Supply Chain Design: A Comprehensive Insight into Emerging Trends, Technologies and Applications. Lohmar: Josef Eul. ISBN-13: 978-3-8441-0181-2

Kersten, W., Blecker, T., & Ringle, C. M. (Eds.). (2012). Managing the Future Supply Chain: Current Concepts and Solutions for Reliability and Robustness. Lohmar: Josef Eul. ISBN-13: 978-3-8441-0180-5

Edited Journals

Cepeda, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2017). Prediction-Oriented Modeling in Business Research by Means of Partial Least Squares Path Modeling, Journal of Business Research.

Richter, N., Cepeda, G., Roldán, J. L., & Ringle, C. M. (2016). European Management Research Using Partial Least Squares Structural Equation Modeling (PLS-SEM), European Management Journal. [Link]

Cepeda, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2015). Modern Methods of Business Research: Partial Least Squares Path Modeling, Quality and Quantity.

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2014). Rethinking Partial Least Squares Path Modeling: Looking Back and Moving Forward, Long Range Planning, 47(3). [Link]

Hair, J. F., Ringle, C. M., & Sarstedt, M. (Eds.). (2013). PLS Applications in Strategic Management: Partial Least Squares Modeling in Strategy Research, Long Range Planning Special Issue. Amsterdam: Elsevier. [Link]

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Analytical Approaches to Strategic Management: Partial Least Squares Path Modeling in Strategy Research, Long Range Planning, 45(5-6). [Link]

Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). The Use of Partial Least Squares (PLS) to Address Marketing Management Topics, Journal of Marketing Theory and Practice, 19(2).

Courses on Quantitative Research Methods & PLS-SEM

Athens University of Economics and Business (AUEB), Athens (Greece): 2015.

ESSEC Business School, Cergy, France: 2007.

European Business School Oestrich-Winkel (EBS), Wiesbaden (Germany): 2009: 2008, 2007, 2006, 2005.

Georgia State University (GSU), Atlanta, GA (USA): 2009, 2008.

Goethe University Frankfurt am Main, Frankfurt am Main (Germany): 2016.

Hochschule Reutlingen, Reutlingen (Germany): 2016.

IÉSEG School of Management, Lille (France): 2011.

Leipzig Graduate School of Management (HHL), Leipzig (Germany): 2020, 2019, 2018, 2017, 2016, 2015, 2014.

Macau University of Science and Technology (MUST), Macau (China): 2018.

Massey University, Palmerston North (New Zealand): 2018

Michigan State University, East Lansing, MI (USA): 2013.

Molde University College, Molde (Norway): 2016.

National University of Malaysia (UKM), Bangi (Malaysia): 2016, 2014.

Northern Institute of Technology Management (NIT), Hamburg (Germany): 2019, 2018, 2017, 2016, 2015, 2014, 2013, 2012, 2011, 2010.

Otto-von-Guericke-University Magdeburg, Magdeburg (Germany): 2013.

Polytechnic Institute of Tomar, Lisbon (Portugal): 2020.

PSB Academy, Singapore (Singapore): 2014.

Queensland University of Technology, Brisbane (Australia): 2014.

Rochester Institute of Technology, Rochester, NY (USA): 2013.

RWTH Aachen, Aachen (Germany): 2013.

Tampere University, Tampere (Finland): 2018.

University of Applied Sciences, Kiel (Germany): 2016.

University of Bedfordshire, Luton (UK): 2013.

University of Canterbury, Christchurch (New Zealand): 2016.

University of Cologne, Cologne (Germany): 2013, 2011.

University of Dar es Salaam, Dar es Salaam (Tanzania): 2019.

University of Denver, Denver, CO (USA): 2015.

University of Leeds, Leeds (UK): 2020, 2017, 2014.

University of Kuala Lumpur, Kuala Lumpur (Malaysia): 2013.

University of Maastricht, Maastricht (The Netherlands): 2011.

University of Manchester, Manchester (UK): 2019, 2017, 2008.

University of Mauritius, Moka (Mauritius): 2018.

University of Newcastle, Callaghan (Australia): 2016, 2014, 2013, 2011.

University of Nottingham, Nottingham (UK): 2011.

University of Queensland, Queensland (Australia): 2014

University of Seville, Seville (Spain): 2018, 2016.

University of Stockholm, Stockholm (Sweden): 2013, 2011, 2004.

University of Technology Sydney, Sydney (Australia): 2011, 2009, 2008, 2006.

University of Waikato, Hamilton (New Zealand): 2018.

Vienna University of Economics and Business, Vienna (Austria): 2013.

WHU Otto Beisheim School of Management, Vallendar (Germany): 2008.

Zeppelin University, Friedrichshafen (Germany): 2019, 2017, 2015, 2012.

Conference Proceedings, Presentations & Workshops

2020

Becker, J.-M., Ringle, C. M., & Proksch, D. (2020). Using Gaussian Copulas to Address Endogeneity in Regression: Recommendations Based on Simulation Studies, Presentation at the 2020 AMA Winter Academic Conference, San Diego, CA, USA.

Hair, J. F, Rigdon, E. E., & Ringle, C. M. (2020). SEM: Measurement Models with Composites and Common Factors, Presentation at the 2020 AMA Winter Academic Conference, San Diego, CA, USA.

Ringle, C. M. & Liengaard, B. D. (2020). Cross-validated Predictive Ability Test (CVPAT) in Partial Least Squares Structural Equation Modeling (PLS-SEM), Online Presentation at the XXVI Congresso Nazionale AIP (Associazione Italiana di Psicologia) Sezione Sperimentale.

Ringle, C. M. & Sarstedt, M. (2020). Prelude #1: Recent Advances in Predictice Model Assessment, Online Workshop for the PLS2022.

2019

Ringle, C. M. (2019). Conference Workshop on PLS-SEM. Annual Conference of the European Marketing Academy, Hamburg (Germany).

Ringle, C. M. (2019). How to Deal with the Validity Threats of Unobserved Heterogeneity. Presentation at the SASEM 2019 Kuala Lumpur, Kuching (Malaysia).

Ringle, C. M. (2019). Marketing Research: Methods, Measures, and Analytics. Presentation at the 2019 AMS WMC Edinburgh, Edinburgh (UK).

Ringle, C. M. (2019). Pre-Conference Workshop on PLS-SEM. Academy of International Business (AIB), Copenhagen (Denmark).

Ringle, C. M. (2019). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science (AMS) Annual Conference, Vancouver (Canada).

Ringle, C. M. (2019). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science World Marketing Congress (AMS WMC), Edinburgh (UK).

2018

Raithel, S., Ringle, C. M., & Sarstedt, M. (2018). PhD Course on Survey Research Methods. VHB-ProDok, Berlin (Germany).

Ringle, C. M. (2018). Pre-Conference Workshop: Introduction into PLS-Pathmodeling Using SmartPLS. 80. Annual Conference of the German Academic Association for Business Research, Magdeburg (Germany).

Ringle, C. M. (2018). Publish Research with Impact. Presentation at Research Seminar Series, Massey University, Auckland (New Zealand).

Ringle, C. M. (2018). The New HTMT Criterion to Assess Discriminant Validity. Presentation at the Research Seminar Series, University of Waikato, Hamilton (New Zealand).

Troiville, J. & Ringle, C. M. (2018). Wine Qualities and Consumer Satisfaction: An Abstract. Proceedings at the Academy of Marketing Science (AMS) 46th Annual Conference, New Orleans, LA (USA).

2017

Ringle, C. M. (2017). Introduction Session. Hamburg International Conference of Logistics (HICL), Hamburg (Germany).

2016

Ringle, C. M. (2016). PhD Workshop: Recent Development in Partial Least Squares Structural Equation Modeling. National University of Malaysia (UKM), Graduate School of Business, Bangi, Malaysia.

Ringle, C. M. (2016). Post-Conference Workshop on PLS-SEM. Academy of Marketing Science (AMS) Annual Conference, Orlando, USA.

Ringle, C. M. (2016). Pre-Conference Workshop: PLS for Research Workshop. 2016 SERVSIG of the American Marketing Association (AMA), Maastricht, Netherlands.

Ringle, C. M. (2016). Pre-Conference Workshop on PLS-SEM. Academy of International Business (AIB) United Kingdom and Ireland Conference at Birkbeck, University of London, London, UK.

Ringle, C. M. (2016). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science 19th World Marketing Congress (AMS WMC), Paris, France.

Schlittgen, R., Ringle, C. M., Sarstedt, M., & Becker, J.-M. (2016). Capturing Unobserved Heterogeneity in PLS-SEM Using Iterative Reweighted Regressions. Presentation at the Academy of Marketing Science 19th World Marketing Congress (AMS WMC), Paris, France.

2015

Avkiran, N. K., Ringle, C. M., & Low, R. (2015). Monitoring Transmission of Systemic Risk from Shadow Banking to Regulated Banking. Paper presented at the Australian Finance & Banking Conference, UNSW Business School, Sydney, Australia.

Henseler, J. & Ringle, C. M. (2015). Assessing Measurement Invariance of Composite Models. Proceedings of the 2nd International Symposium on Partial Least Squares Path Modeling, Seville, Spain.

Ringle, C. M. (2015). Closing Session. Hamburg International Conference of Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2015). Conference Workshop on PLS-SEM. Academy of International Business (AIB) UK and Ireland Conference, The University of Manchester, Manchester Business School, Manchester, UK.

Ringle, C. M. (2015). Introduction Session. the Hamburg International Conference of Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2015). Neue Methoden zur Messung von Patientenzufriedenheit. Presentation at the Forum Qualitätskliniken, Berlin, Germany.

Ringle, C. M. (2015). Post-Conference Workshop on PLS-SEM. 2nd International Symposium on Partial Least Squares Path Modeling – The Conference for PLS Users, Seville, Spain.

Ringle, C. M. (2015). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science (AMS) Annual Conference, Denver, USA.

Ringle, C. M. (2015). Workshop: Overview of Statistical and Path Modeling Analyses. Hamburg University of Technology (TUHH) Online Summer School, Hamburg, Germany.

Ringle, C. M. (2015). Workshop and Board Meeting. ECIU Workshop and Board Meeting, Brussels, Belgium.

Ringle, C. M. (2015). Workshop and Board Meeting. ECIU Workshop and Board Meeting, Linkoeping, Sweden.

Ringle, C. M., Schirmer, N. A., & Feistel, M. S. G. (2015). The Relationship between Customer Satisfaction and Loyalty: New Insights into the Role of Customer Heterogeneity. Paper presented at the 2nd International Symposium on Partial Least Squares Path Modeling – The Conference for PLS Users, Seville (Spain).

Schlittgen, R., Ringle, C. M., Sarstedt, M., & Becker, J.-B. (2015) Segmentation of PLS-Path Models by Iterative Reweighted Regressions. Paper presented at the 2nd International Symposium on Partial Least Squares Path Modeling – The Conference for PLS Users, Seville, Spain.

Schubring, S., Lorscheid, I., Meyer, M., & Ringle, C. M. (2015) The PLS Agent: Predictive Modeling with Partial Least Squares and Agent-based Simulation. Paper presented at the 2nd International Symposium on Partial Least Squares Path Modeling – The Conference for PLS Users, Seville (Spain).

Thiele, K. O., Sarstedt, M., & Ringle, C. M. (2015) Mirror, Mirror on the Wall. A Comparative Evaluation of New and Established Structural Equation Modeling Methods. Paper presented at the 2nd International Symposium on Partial Least Squares Path Modeling – The Conference for PLS Users, Seville, Spain.

2014

Gudergan, S. P., Ringle, C. M., & Wilden, R. (2014). Advances in PLS-SEM in Strategic Management Research. Paper presented at the SMS 2014 Sydney Extension, Noosa, Australia.

Lorscheid, I., Meyer, M., Pakur, S., Ringle, C. M. (2014). The PLS Agent – Agent Behavior Validation by Partial Least Squares. Paper presented at the Social Simulation Conference, Barcelona, Spain.

Ringle, C. M. (2014). Closing Session. Hamburg International Conference of Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2014). Consistent Partial Least Squares Path Modeling (PLSc): Looking Back and Moving Forward. Presentation at the Research Seminar Series, University of Newcastle, Newcastle, Australia.

Ringle, C. M. (2014). Einführung in die PLS-Pfadmodellierung. Presentation at the Ringvorlesung in Ergänzung zum Doktorandenkolloquium (FSP LuM), Hamburg University of Technology (TUHH), Hamburg, Germany.

Ringle, C. M. (2014). Introduction Session. Hamburg International Conference of Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2014). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science (AMS) Annual Conference, Indianapolis, USA.

Ringle, C. M. (2014). Workshop: How to get your Doctoral Thesis Published. National University of Malaysia (UKM), Graduate School of Business, Bangi, Malaysia.

Ringle, C. M. (2014). Workshop and Board Meeting. ECIU Workshop and Board Meeting, Aalborg University, Aalborg, Denmark.

Ringle, C. M. (2014). Workshop and Board Meeting. ECIU Workshop and Board Meeting, Amsterdam, Netherlands.

Schlittgen, R., Sarstedt, M., & Ringle, C. M. (2014). A New Segmentation Method for PLS-SEM Using Iterative Reweighted Regressions. Presentation at the Academy of Marketing Science 17th Biennial World Marketing Congress, Lima, Peru.

2013

Ahrholdt, D., Gudergan, S. P., & Ringle, C. M. (2013). What Drives Customer Loyalty? Nonlinear Effects of Customer Delight and Satisfaction on Loyalty and the Moderating Role of Service Experience. Paper presented at the Academy of Marketing Science (AMS) World Marketing Congress (WMC), Melbourne, Australia.

Ringle, C. M. (2013). Closing Session. Hamburg International Conference on Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2013). Closing Session. PLS-Symposium, Nijmegen, Netherlands.

Ringle, C. M. (2013). International Co-operation. ECIU Workshop and Board Meeting, Universitat Autònoma de Barcelona, Barcelona, Spain.

Ringle, C. M. (2013). Introduction Session. Hamburg International Conference on Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2013). Opening Session. PLS-Symposium, Nijmegen, Netherlands.

Ringle, C. M. (2013). Panel Session on PLS-SEM. Presentation at the Academy of Marketing Science (AMS) World Marketing Congress (WMC), Melbourne, Australia.

Ringle, C. M. (2013). Pre-Conference Workshop: Basics: PLS Path Modeling. 75. Annual Conference of the German Academic Association for Business Research (VHB), Würzburg, Germany.

Ringle, C. M. (2013). Pre-Conference Workshop: Recent Research Topics of PLS Path Modeling. 75. Annual Conference of the German Academic Association for Business Research (VHB), Würzburg, Germany.

Ringle, C. M. (2013). Pre-Conference Workshop on PLS-SEM. Academy of Marketing Science (AMS) Annual Conference, Monterey, USA.

Ringle, C. M. (2013). Second Generation Multivariate Analyses Procedures and Technology and Innovation Acceptance Models. Presentation at the TiTech Workshop on Innovation and Product Development for Aging Users, Tokyo, Japan.

Schirmer, N., & Ringle, C. M. (2013). New Insights on the Relationship between Customer Satisfaction and Loyalty. Paper presented at the ISMS Marketing Science, Istanbul, Turkey.

2012

Ahrholdt, D., Gudergan, S. P., & Ringle, C. M. (2012). Enhancing Service Loyalty: New Insights on Nonlinear Effects of Customer Delight and Satisfaction. Paper presented at the INFORMS Annual Meeting, Phoenix, USA.

Klarner, P., Sarstedt, M., Höck, M., & Ringle, C. M. (2012). On the Performance of Management Consulting Teams. Paper presented at the Academy of Management Conference, Boston, USA.

Ringle, C. M. (2012). Closing Session. Hamburg International Conference on Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2012). Introduction Session. Hamburg International Conference on Logistics (HICL), Hamburg, Germany.

Ringle, C. M. (2012). PhD Course on Latent Variables and Structural Equation Modeling. German Academic Association for Business Research (VHB), Munich, Germany.

Sarstedt, M., & Ringle, C. M. (2012). Using PLS-SEM: Issues and Research Opportunities. Presentation at the Academy of Marketing Science World Marketing Congress (AMS WMC), Buckhead, USA.

2011

Ahrholdt, D., Höck, C., & Ringle, C. M. (2011). The Consumption of Live Sporting Events: Satisfaction of Very Important Fans. Paper presented at the 33rd INFORMS Marketing Science Conference, Houston, USA.

Ringle, C. M. (2011). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research. Presentation at the University of Hamburg, Cologne-Hamburg Marketing Camp, Cologne, Germany.

Ringle, C. M. (2011). On the Use of PLS Path Modeling in Management and Marketing Research. Presentation at the University of Technology Sydney (UTS), School of Marketing, Centre for Management and Organisation Studies (CMOS), Sydney, Australia.

Ringle, C. M. (2011). Partial Least Squares (PLS): Past, Present, and Future. Presentation at the Academy of Marketing Science (AMS) Annual Conference, Miami, USA.

Ringle, C. M. (2011). Partial Least Square Path Modeling in Information Systems Research. Presentation at the 6th Mediterranean Conference on Information Systems (MCIS), Limassol, Cyprus.

Ringle, C. M. (2011). PLS Path Modeling and Uncovering Unobserved Heterogeneity via FIMIX-PLS: Which Segment Retention Criterion Provides an Appropriate Solution? Presentation at the Research Seminar Series, School of Business and Economics, Maastricht, Netherlands.

Ringle, C. M. (2011). Workshop on PLS Path Modeling. The XXII International Society for Professional Innovation Management (ISPIM) Conference, Hamburg, Germany.

2010

Becker, J.-M., Sarstedt, M., Ringle, C. M., & Völckner, F. (2010). Disentangling the Effects of Multicollinearity on Segment Retention in Mixture Regression Models. Paper presented at the 32nd INFORMS Marketing Science Conference, Cologne, Germany.

Becker, J.-M., Sarstedt, M., Ringle, C. M., & Völckner, F. (2010). Segment Retention and Collinearity in Mixture Regression Analysis. Paper presented at the 39th Annual Conference of the European Marketing Academy (EMAC), Copenhagen, Denmark.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2010). PhD Course on Latent Variables and Structural Equation Modeling. German Academic Association for Business Research (VHB), Munich, Germany.

Kessel, F., Ringel, C. M. & Sarstet, M. (2010). On the Impact of Missing Values on Model Selection in FIMIX-PLS. Presentation at the 2010 INFORMS Marketing Science Conference, Cologne, Gernmany.

Rigdon, E. E., Gudergan, S. P., Ringle, C. M., & Sarstedt, M. (2010). Response-based Segmentation in PLS Path Modeling: Application of FIMIX-PLS to American Customer Satisfaction Index Data. Paper presented at the Academy of Marketing Science Annual Conference, Portland, USA.

Ringle, C. M. (2010). PLS Path Models with Latent Variables to Model Discrete Choices: First Steps and the Way Ahead. School of Marketing Research Seminar Series, Sydney, Australia.

Ringle, C. M., & Henseler, J. (2010). Pre-Conference Workshop: PLS Path Modeling. 72. Annual Conference of the German Academic Assoication for Business Research (VHB), Bremen, Germany.

Ringle, C. M., Sarstedt, M., Schlittgen, R., & Taylor, C. R. (2010). Using Genetic Algorithm Segmentation in PLS Path Modeling: Addressing Homogeneity Assumptions. Paper presented at the Global Marketing Conference of the KAMS, Tokyo, Japan.

2009

Becker, J.-M., Ringle, C. M., & Völckner, F. (2009). Prediction-Oriented Segmentation: A New Methodology to Uncover Unobserved Heterogeneity in PLS Path Models. Paper presented at the 38th Annual Conference of the European Marketing Academy (EMAC), Nantes, France.

Ringle, C. M. (2009). Customer Satisfaction with Industrial Goods: The Finite Mixture Partial Least Squares Approach and Methodological Extensions to Account for Unobserved Heterogeneity. Presentation at the School of Marketing Research Seminar Series, Sydney, Australia.

Ringle, C. M. (2009). Pre-Conference Workshop: PLS Path Modeling. 71. Annual Conference of the German Academic Assoication for Business Research (VHB), Bremen, Germany.

Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2009). PLS Path Modeling in Marketing and Genetic Algorithm Segmentation. Paper presented at the ANZMAC Annual Conference Melbourne, Australia.

Sarstedt, M., Ringle, C. M., & Schwaiger, M. (2009). Extending Festge and Schwaiger’s Model of Customer Satisfaction with Industrial Goods to Account for Unobserved Heterogeneity. Proceedings of the AMA Winter Marketing Educators’ Conference, Tampa, USA, pp. 241-244.

Sarstedt, M., Schwaiger, M., & Ringle, C. M. (2009). Determining the Number of Segments in FIMIX-PLS. Paper presented at the Academy of Marketing Science Annual Conference, Baltimore, USA.

Sarstedt, M., Schwaiger, M., Ringle, C. M., & Gudergan, S. P. (2009). Satisfaction with Services: An Impact-Performance Analysis for Soccer-Fan Satisfaction Judgements. Paper presented at the ANZMAC Annual Conference, Melbourne, Australia.

2008

Henseler, J., & Ringle, C. M. (2008). Pre-Conference Workshop: Neuere Entwicklungen in der Partial Least Squares (PLS)-Pfadmodellierung. 70. Annual Conference of the German Academic Assoication for Business Research (VHB), Berlin, Germany.

Höck, M., & Ringle, C. M. (2008). Analyse der Service-Profit-Chain bei Unternehmensberatungen. Proceedings of the Herbsttagung 2007 der wissenschaftlichen Kommission Produktionswirtschaft im VHB: Produkt- und Prozessinnovationen in Wertschöpfungsketten, Wiesbaden, Germany, pp. 186-191.

Ringle, C. M. (2008). Cohen's Path Analysis for Exploring Causal Directionality in Inner PLS Models: Methodology and Application in the Field of Marketing. Presentation at the School of Marketing Research Seminar Series, Sydney, Australia.

Sarstedt, M., Ringle, C. M., Schloderer, M., & Schwaiger, M. (2008). Accounting for Unobserved Heterogeneity in the Analysis of Antecedents and Consequences of Corporate Reputation: An Application of FIMIX-PLS. Paper presented at the 37th Annual Conference of the European Marketing Academy (EMAC), Brighton, UK.

2007

Callaghan, W., Wilson, B., Ringle, C. M., & Henseler, J. (2007). Exploring Causal Path Directionality For a Marketing Model Using Cohen´s Path Method. Proceedings of the PLS’07: The 5th International Symposium on PLS and Related Methods, Ås, Norway, pp. 57-61.

Eggert, A., Henseler, J., & Ringle, C. M. (2007). Recent Developments in Partial Least Squares Path Analysis. Paper presented at the Academy of Marketing Science (AMS) World Marketing Congress (Special Session), Verona, Italy.

Höck, C., & Ringle, C. M. (2007). Servicequalität, Kundenzufriedenheit und -loyalität: Eine dyadische Analyse von Unternehmensberatungsprojekten. Paper presented at the Jahrestagung der Wissenschaftlichen Kommission für Produktionswirtschaft des Verbandes der Hochschullehrer für Betriebswirtschaft, Hamburg, Germany.

Ringle, C. M. (2007). FIMIX-PLS: Methodology, Numerical Examples and Future Research. Presentation at the ESSEC-HEC Research Workshop Series (No. 1) on PLS (Partial Least Squares) Developments, ESSEC Business School Paris-Singapore, Cergy-Pontoise, France.

Ringle, C. M., & Henseler, J. (2007). Pre-Conference Workshop: Structural Equation Modeling. 69. Annual Conference of the German Association for Business Research (VHB), Paderborn, Germany.

Ringle, C. M., & Schlittgen, R. (2007). A Genetic Algorithm Segmentation Approach for Uncovering and Separating Groups of Data in PLS Path Modeling. Paper presented at the PLS’07: The 5th International Symposium on PLS and Related Methods, Ås, Norway.

Ringle, C. M., Squillacciotti, S., & Trinchera, L. (2007). A Study on Methods for Capturing and Treating Heterogeneity in PLS Path Models by Unit Segmentation: FIMIX-PLS, PLS-TPM and REBUS-PLS. Paper presented at the PLS’07: 5th International Symposium on PLS and Related Methods, Ås, Norway.

Ringle, C. M., Wilson, B., & Götz, O. (2007). A Monte Carlo Robustness Study on Formative Measurement Model Specification in CBSEM and PLS. Paper presented at the PLS’07: 5th International Symposium on PLS and Related Methods, Ås, Norway.

Wilson, B., Ringle, C. M., & Götz, O. (2007). Using Structural Equation Modeling for Success Factor and ECSI Research: A Robustness Comparison of Alternative Estimation Techniques. Paper presented at the ANZMAC Annual Conference, Dunedin, New Zealand.

2006

Höck, M., & Ringle, C. M. (2006). Strategic Networks in the Software Industry: An Empirical Analysis of the Value Continuum. Paper presented at the IFSAM VIIIth World Congress, Berlin, Germany.

Ringle, C. M. (2006). PLS Path Modeling Using SmartPLS: Some Advances. Presentation at the School of Marketing Research Seminar Series, Sydney, Australia.

2005

Boysen, N., & Ringle, C. M. (2005). Über den Einfluss der Optionsbündelung auf den Ablauf der Fertigung am Beispiel der Automobilindustrie. Paper presented at the International Scientific Annual Conference on Operations Research Bremen, Germany.

Ringle, C. M. (2005). SmartPLS Software Presentation. Paper presented at the PLS’05: 4th International Symposium on PLS and Related Methods, Barcelona, Spain.

Ringle, C. M. (2005). The Co-Operative Banking Sector in Germany. Presentation at the School of Business Research Seminar Series, Osaka, Japan.

Ringle, C. M., Wende, S., & Will, A. (2005). Customer Segmentation with FIMIX-PLS. Proceedings of the PLS'05 International Symposium: PLS and Related Methods, Paris, France, pp. 507-514.

2004

Boysen, N., Hansmann, K.-W., & Ringle, C. M. (2004). Determining the Right Sequence of Car-Models on the Assembly Line. Paper presented at the INFORMS Annual Meeting, Denver, USA.

Boysen, N., Ringle, C. M., & Fliedner, M. (2004). Auftragsannahme in der auftragsorientierten Automobilproduktion. Paper presented at the Jahrestagung der Wissenschaftlichen Kommission Produktionswirtschaft im Verband der Hochschullehrer für Betriebswirtschaft, Klagenfurt, Austria.

Hansmann, K.-W., & Ringle, C. M. (2004). Effects of Participation in Enterprise Networks. Paper presented at the International Cooperatives Forum, Münster, Germany.

Ringle, C. M., Boysen, N., Fliedner, M., & Hansmann, K.-W. (2004). The Virtual Enterprise: An Empirical Analysis of Positive Effects on Partner Companies' Long Term Success. Paper presented at the INFORMS Annual Meeting, Denver, USA.

Research & Working Papers

Iffländer, K., Levsen, N., Lorscheid, I., Pakur, S., Wellner, K., Herstatt, C., Lüthje, C., Meyer, M., & Ringle, C. M. (2012). InnoAge - Innovation and Product Development for Aging Users. Management@TUHH Research Paper Series (Vol. 6). Hamburg. Hamburg University of Technology.

Ladwig, T. J., Richter, N. F., Ringle, C. M., & Heitger, N. (2012). Cultural Hybrid Personalities? Clustering Nations According to the Big Five Personality Traits. Management@TUHH Research Paper Series (Vol. 9). Hamburg. Hamburg University of Technology.

Ringle, C. M., Völckner, F., Sattler, H., & Reinstrom, C. (2012). Do We Really Know How to Manage Brand Extension Success? Management@TUHH Research Paper Series (Vol. 8). Hamburg. Hamburg University of Technology.

Sarstedt, M., Ringle, C. M., Raithel, S., & Gudergan, S. P. (2012). In Pursuit of Understanding What Drives Fan Satisfaction. Management@TUHH Research Paper Series (Vol. 7). Hamburg. Hamburg University of Technology.

Ringle, C. M., Hensler, J., & Hubona, G. S. (2011). Using Finite Mixture Partial Least Squares to Assess Unobserved Heterogeneity in Technology Adoption. Working Paper Series (Vol. 11-05). Nijmegen. Radboud University Nijmegen.

Ringle, C. M., Götz, O., Wetzels, M., & Wilson, B. (2009). On the Use of Formative Measurement Specifications in Structural Equation Modeling: A Monte Carlo Simulation Study to Compare Covariance-based and Partial Least Squares Model Estimation Methodologies. Research Paper Series (Vol. 14). Maastricht. Maastricht University.

Esposito Vinzi, V., Ringle, C. M., Squillacciotti, S., & Trinchera, L. (2007). Capturing and Treating Unobserved Heterogeneity by Response Based Segmentation in PLS Path Modeling. A Comparison of Alternative Methods by Computational Experiments. ESSEC Working Papers (Vol. 07019). Paris. ESSEC Business School.

Ringle, C. M. (2006). Segmentation for Path Models and Unobserved Heterogeneity: The Finite Mixture Partial Least Squares Approach. In H. Sattler (Ed.), Research Papers on Marketing and Retailing (Vol. 35). Hamburg. University of Hamburg.

Ringle, C. M. (2004). Gütemaße für den Partial Least Squares-Ansatz zur Bestimmung von Kausalmodellen. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 16). Hamburg. University of Hamburg: Institute of Industrial Management.

Ringle, C. M. (2004). Messung von Kausalmodellen: Ein Methodenvergleich, Working Paper Series (Vol. 14). Hamburg. University of Hamburg: Institute of Industrial Management.

Hansmann, K.-W., Höck, M., & Ringle, C. M. (2003). Finanzierung Mittelstand. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 11). Hamburg. University of Hamburg: Institute of Industrial Management.

Hansmann, K.-W., Ringle, C. M., & Schroeter, B. (2003). Beitrag von Kooperationen zum Unternehmenserfolg. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 11). Hamburg. University of Hamburg: Institute of Industrial Management.

Hansmann, K.-W., & Ringle, C. M. (2002). Finanzierung Mittelstand. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 8). Hamburg. University of Hamburg: Institute of Industrial Management.

Hansmann, K.-W., Ringle, C. M., & Engelke, D. (2002). Wettbewerb im lokalen Telekommunikationsmarkt. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 9). Hamburg. University of Hamburg: Institute of Industrial Management.

Hansmann, K.-W., Kehl, M., & Ringle, C. M. (2000). Wettbewerb im lokalen Telekommunikationsmarkt. In K.-W. Hansmann (Ed.), Working Paper Series (Vol. 4). Hamburg. University of Hamburg: Institute of Industrial Management.

Ringle, C. M. (2000). DG BANK und Rabobank: Vergleichende Analyse und Perspektiven einer Kooperation. Working Paper Series (Vol. -). Hamburg. University of Hamburg: Institut für Geld- und Kapitalverkehr.

Software Projects

Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3.0. www.smartpls.de.

Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2.0. www.smartpls.de.

Hansmann, K.-W., & Ringle, C. M. (2004). SmartPLS Benutzerhandbuch. Hamburg: University of Hamburg: Institute of Industrial Management.