Profile

Christian M. Ringle is a Chaired Professor and the Director of the Institute of Management and Decision Sciences at the Hamburg University of Technology (Germany), an Adjunct Professor at the James Cook University (Australia), and a Visiting Guest Researcher at the University of California, Berkeley (USA). He holds a PhD from the Faculty of Business and Economics at the University of Hamburg (Germany) and graduated with a Master of Business Administration (MBA) from the University of Kansas (USA). Among other research stays and appointments, Christian has been a visiting researcher at the Georgia State University (USA), the 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 research focuses on management, marketing, technology and innovation management, method development, business analytics, machine learning, and the application of business research methods to decision making. His contributions have been published in journals such as Decision Sciences, European Journal of MarketingInternational 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, Organizational Research Methods. Since 2018, Christian has been included in the Clarivate Analytics' list of Highly Cited Researchers (HCR). He offers online courses and regularly teaches doctoral seminars on business analytics and multivariate analysis methods worldwide. He is a co-developer and co-founder of the statistical software SmartPLS

Among others, Prof. Dr. Christian M. Ringle holds the following positions:

Publications

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

Identifiers:

Honors & Awards (Selection)

  • Since 2020 - Updated Science-wide Author Databases of Standardized Citation Indicators:
    Listed among the most cited researchers in a single year across all scientific disciplines; top ranking positions in the field of Economics & Business.
  • Since 2018 - Member of the Clarivate Analytics’ Highly Cited Researcher List in the category Economics & Business:
    This list includes the top 1% researchers per field by citations in Web of Science.
  • Since 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).
  • 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):
    Lifetime achievement award for outstanding contributions to the development and the 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.
  • 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@tuhh.de
Phone: +49 40 42878 -4419
Office Hours: by appointment