MDS: Prof. Dr. Christian M. Ringle – Director MDS

Profile

Christian M. Ringle is a Chaired Professor and the Director of the Institute of Management and Decision Sciences at Hamburg University of Technology (Germany), an engineering university, and an Adjunct Professor at James Cook University (Australia). He leads the institute's research group as Principal Investigator. His research and teaching are located at the interface of engineering, technology, and management and contribute to industrial engineering (Wirtschaftsingenieurwesen).

His research focuses on technology and innovation management, management and marketing, method development, business analytics, machine learning, artificial intelligence, and the application of business research methods to decision making.

He holds a PhD from the Faculty of Business and Economics at the University of Hamburg (Germany) and a Master of Business Administration (MBA) from the University of Kansas (USA). Among other research stays and appointments, he has been a visiting researcher at the University of California, Berkeley (USA), National University of Malaysia - UKM (Malaysia), Georgia State University (USA), Osaka City University (Japan), and the University of Technology Sydney (Australia). He has also been an Adjunct Professor at the University of Newcastle (Australia) and the University of Waikato (New Zealand).

His contributions have been published in journals such as Decision Sciences, European Journal of Marketing, International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, MIS Quarterly, and Organizational Research Methods. Since 2018, he has been included in Clarivate Analytics' list of Highly Cited Researchers (HCR).

He is a co-developer and co-founder of the statistical software SmartPLS. He offers online courses and regularly teaches doctoral seminars on business analytics and multivariate analysis methods worldwide.

Selected positions:

Publications

For a list of Prof. Dr. Christian M. Ringle's publications, please visit

Identifiers:

ORCID: 0000-0002-7027-8804
Scopus Author ID: 23480356200
Researcher ID: I-4845-2012
GND ID: 122291557

Follow Christian M. Ringle on LinkedIn and Facebook.

Top-tier 4* Publications

The selection of articles is based on Academic Journal Guide (AJG).

Liengaard, B. D., Becker, J.-M., Bennedsen, M., Heiler, P., Taylor, L. N., & Ringle, C. M. (2025). Dealing with Regression Models’ Endogeneity by Means of an Adjusted Estimator for the Gaussian Copula Approach. Journal of the Academy of Marketing Science, 53, 279–299.
Becker, J.-M., Proksch, D., & Ringle, C. M. (2022). Revisiting Gaussian Copulas to Handle Endogenous Regressors. Journal of the Academy of Marketing Science, 50, 46-66.
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, 45(5), 616-632.
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.
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.
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
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, 40(3), 414-433.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor's Comments: A Critical Look at the Use of PLS-SEM in "MIS Quarterly". MIS Quarterly, 36(1), iii-xiv.

Honors & Awards

The list features selected academic honors and awards of Prof. Dr. Christian M. Ringle.

Since 2018 - Included in the Clarivate Analytics’ Highly Cited Researcher List in the category Economics & Business. This list includes the top 1% of researchers per field by Web of Science citations; the Economics & Business category names 81 Highly Cited Researchers worldwide in 2025, only three of whom are from German universities (i.e., TUHH, LMU Munich, and University of Bonn).
Since 2020 - Included in the Updated Science-wide Author Databases of Standardized Citation Indicators. This list includes highly cited researchers (top 2%) per field in Scopus; currently ranked as the second most cited researcher worldwide in Economics & Business in a single year.
2026 – AMA Winter Academic Conference Best Track Paper Award in “Services and Customer Experience“:
Rahman, S. M., Carlson, J., Chowdhury, N., Gudergan, S. P., Wetzels, M., Grewal, D., & Ringle, C. M. (2026). Omnichannel Safe Customer Experience From Safety to Engagement: Measuring Safe Customer Experience and Well-being in Omnichannel Retail. American Marketing Association (AMA) Winter Academic Conference.
2025 - Emerald Literati Outstanding Paper Winner Award:
Magno, F., Cassia, F., & Ringle, C. M. (2024). A Brief Review of Partial Least Squares Structural Equation Modeling (PLS-SEM) Use in Quality Management Studies. The TQM Journal, 36(5), 1242-1251.
2025 - Jay Lindquist Best Academy of Marketing Science World Marketing Congress Paper Award:
Rahman, S. M., Carlson, J., Chowdhury, N., Gudergan, S. P., Wetzels, M., Grewal, D., & Ringle, C. M. (2025). Measuring Safe Customer Experience in Omnichannel Retailing and Its Impact on Customer Well-Being. Academy of Marketing Science World Marketing Congress.
2025 - Recipient of the International Marketing Trends Conference (IMTC) Managerial Impact Award 2025 (together with Prof. Dr. Dr. h.c. Marko Sarstedt), which recognizes researchers for their managerial impact and their contribution to science and business practice.
2025 - Human Resource Development Quarterly Top Cited Article 2025 Award:
Legate, A. E., Ringle, C. M., & Hair, J. F. (2024). PLS-SEM: A Method Demonstration in the R Statistical Environment.Human Resource Development Quarterly, 35(4), 501-529.
2024 - Journal of Marketing Theory and Practice Top Cited Article 2024 Award:
Sarstedt, M., Hair, J. F., & Ringle, C. M. (2023). "PLS-SEM: Indeed a Silver Bullet" – Retrospective Observations and Recent Advances. Journal of Marketing Theory & Practice, 31(3), 261-275.
2024 - Emerald Literati Outstanding Paper Winner Award:
Lucius, Z. K., Damberg, S., Meinel, M., & Ringle, C. M. (2023). Internal Corporate Social Responsibility in Times of Uncertainty: Does Working from Home Harm the Creativity Link? The Bottom Line, 36(2), 112-134.
2023 - Journal of Marketing Analytics Best Paper 2022 Award:
Damberg, S., Schwaiger, M., & Ringle, C. M. (2022). What’s Important for Relationship Management? The Mediating Roles of Relational Trust and Satisfaction for Loyalty of Cooperative Banks’ Customers. Journal of Marketing Analytics, 10, 3-18.
2023 - Psychology & Marketing 2021-2022 Top Cited Paper Award:
Sarstedt, M., Hair, J. F., Pick, M., Liengaard, B. D., Radomir, L., & Ringle, C. M. (2022). Progress in Partial Least Squares Structural Equation Modeling Use in Marketing Research in the Last Decade. Psychology & Marketing, 39(5), 1035-1064.
2023 - Decision Sciences 2021-2022 Top Cited Paper Award:
Liengaard, B., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
2022 - The Creator Award of the 2022 International Conference on Partial Least Squares Structural Equation Modeling (PLS2022), which is a lifetime achievement award for outstanding contributions to the development and advancement of PLS-SEM.
2022 - Decision Sciences Top Downloaded Article Award:
Liengaard, B., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
2022 - Decision Sciences Citation Award:
Liengaard, B., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2021). Prediction: Coveted, Yet Forsaken? Introducing a Cross-validated Predictive Ability Test in Partial Least Squares Path Modeling. Decision Sciences, 52(2), 362-392.
2021 - Journal of Marketing Analytics Most Popular Paper Award:
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, 8, 189-202.
2020 - Emerald Literati Outstanding Paper Winner Award:
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.
2019 - Best Textbook Award of the German Academic Association for Business Research (VHB):
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). Thousand Oaks: Sage.
2019 - Emerald Literati Outstanding Paper Winner Award:
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. International Journal of Contemporary Hospitality Management, 30(1), 514-538.
2018 - F.A.Z. Economist Ranking: Listed in the category of the most influential economic researchers (i.e., measured by citations) in Austria, Germany, and Switzerland (ranked #1 since 2020).
2017 - Emerald Citations of Excellence Award:
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.
2017 - Emerald Citations of Excellence Award:
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. (2014). Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182-209.
2017 - Emerald Literati Outstanding Paper Winner Award:
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.
2016 - Taylor & Francis Citation Award:
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM – Indeed a Silver Bullet. Journal of Marketing Theory & Practice, 19(2), 139-151.
2015 - Emerald Citations of Excellence Award:
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, 40(3), 414-433.
Since 2014 - Research repeatedly ranked in Shugan’s list of top 20 most cited marketing articles:
- #1 rank:
  - 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, 40(3), 414-433.
  - 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.
  - Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J., 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.
- Top 3 rank:
  - Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. P. (2016). Estimation Issues with PLS and CBSEM: Where the Bias Lies!. Journal of Business Research, 69(10), 3998-4010.
  - 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, 45(5), 616-632.
- Top 10 rank:
  - 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.
2010 - Best Paper Award in the Advancing Research Methods Tack Global Marketing Conference, Tokyo, Japan
Ringle, C., Sarstedt, M., Schlittgen, R., & Taylor, C. R. (2010). Using Genetic Algorithm Segmentation in PLS Path Modeling: Addressing Homogeneity Assumptions. In Proceedings of the 2010 Global Marketing Conference of the KAMS, Tokyo, Japan --> Later published in the Journal of Business Research.

Contact

Am Schwarzenberg-Campus 4 (D)
21073 Hamburg
Building D | Room 1.001
E-Mail: c.ringle(at)tuhh.de
Phone: +49 40 30601 - 4419
Office Hours: by appointment

TU Hamburg

Institute of Management and Decision Sciences

Am Schwarzenberg-Campus 4

21073 Hamburg

E-mail : mds-w9@tuhh.de

Phone : +49 40 30601-4419