These are the web pages of the Institute of  Management and Decision Sciences, W-9, belonging to the department for Management Sciences and Technology at the Hamburg University of Technology (TUHH). Our mission is to conduct outstanding research, to offer our students excellent lectures and seminars for a top-level education, and to ensure continuous knowledge transfer by frequently undertaking applied business projects with renowned companies. Our team is committed to improving the already excellent reputation of the Hamburg University of Technology (TUHH). Enjoy gathering additional information by surfing our web pages. If you have further questions, please do not hesitate contacting us.

Best regards, Christian M. Ringle

Wir stellen ein - neue Doktorandenstellen verfügbar!

Streben Sie eine Promotion im Bereich Business Analytics und Machine Learning an? Dann bewerben Sie an unserem erfolgreichen Forschungsinstituts an der renommierten TUHH und kontaktieren Sie uns unter c.ringle@tuhh.de. Wir können eine 0,5 oder Vollzeit-Doktorandenstelle an unserem Institut besetzen (hervorragende Deutschkenntnisse sind erforderlich).


Recent Publications


Hair, J.F., Sharma, P.N., Sarstedt, M., Ringle, C.M. and Liengaard, B.D. (2024), The shortcomings of equal weights estimation and the composite equivalence index in PLS-SEM, European Journal of Marketing, Vol. 58 No. 13, pp. 30-55.

Hauff, S., Richter, N.F., Sarstedt, M., Ringle, C.M. (2024), Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA), Journal of Retailing and Consumer Services, 78, 103723.

Saari, U.A., Damberg, S., Schneider, M., Aarikka-Stenroos, L., Herstatt, C., Lanz, M., Ringle, C.M. (2024), "Capabilities for circular economy innovation: Factors leading to product/service innovations in the construction and manufacturing industries", Journal of Cleaner Production, 434. 140295.


Becker, J.-M., Cheah, J.-H., Gholamzade, R., Ringle, C.M. and Sarstedt, M. (2023), "PLS-SEM’s most wanted guidance", International Journal of Contemporary Hospitality Managemen 35 (1). 21-346.

Cho, G., Lee, J., Hwang, H., Sarstedt, M., & Ringle, C. M. (2023). A Comparative Study of the Predictive Power of Component-based Approaches to Structural Equation Modeling, European Journal of Marketing, 57 (6), 1641-1661.

Damberg, S., Liu, Y. & Ringle, C.M. (2023), Does culture matter? Corporate reputation and sustainable satisfaction in the Chinese and German banking sector. Journal of Marketing Analytics, 1-19.

Guenther, P., Guenther, M., Ringle, C.M., Zaefarian, G., Cartwright, S. (2023), Improving PLS-SEM use for business marketing research, Industrial Marketing Management, 111, pp. 127-142.

Hwang, H., Sarstedt, M., Cho, G., Choo, H. and Ringle, C.M. (2023), "A primer on integrated generalized structured component analysis", European Business Review, Vol. 35 No. 3, pp. 261-284.

Jordão, R.V.D., Raziq, M.M., Memon, M.A., Ting, H., Ringle, C.M. and Muenjohn, N. (2023), Editorial: Human capital, management and economics during and after the COVID-19 outbreak, The Bottom Line, Vol. 36 No. 2, pp. 101-111.

Legate, A. E., Ringle, C. M., & Hair, J. F. Jr. (2023). PLS-SEM: A method demonstration in the R statistical environment. Human Resource Development Quarterly, 1–29.

Liu, Y., Ting, H., & Ringle, C. (2023). Appreciation to and Behavior Intention Regarding Upscale Ethnic Restaurants. Journal of Hospitality & Tourism Research, 47(1), 235–256.

Lucius, Z.K., Damberg, S., Meinel, M. and Ringle, C.M. (2023), Internal corporate social responsibility in times of uncertainty: does working from home harm the creativity link?, The Bottom Line, Vol. 36 No. 2, pp. 112-134.

Ringle, C.M., Sarstedt, M., Sinkovics, N. & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074.

Sarstedt, Marko, Hair, Joseph & Ringle, Christian. (2023). “PLS-SEM: indeed a silver bullet” – retro-spective observations and recent advances. Journal of Marketing Theory and Practice. 1-15.

Sarstedt, M., Ringle, C.M., Iuklanov, D. (2023). Antecedents and Consequences of Corporate Reputation: A Dataset. Data in Brief, 48, 109079.

Sharma, P. N., Liengaard, B. D., Hair, J. F., Sarstedt, M., & Ringle, C. M. (2023). Predictive Model As-sessment and Selection in Composite-based Modeling Using PLS-SEM: Extensions and Guidelines for Using CVPAT. European Journal of Marketing, 57 (6), 1662-1677.

Teeroovengadum, V., Ringle, C.M., Nunkoo, R., Coates, H. (2023), Quality of higher education experience, satisfaction, and well-being: genuinely caring for our students-consumers, Journal of Marketing for Higher Education, pp. 1-23.


Basco, R., Hair, J. F., Ringle, C. M., & Sarstedt, M. (2022). 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. (2022) Revisiting Gaussian Copulas to Handle Endogenous Regressors. Journal of of the Academy of Marketing Science, 50, 46-66.

Cepeda-Carrión, G., Hair, J.F., Ringle, C.M., Roldán, J.L. & García-Fernández, J. (2022), Guest editorial: Sports management research using partial least squares structural equation modeling (PLS-SEM), International Journal of Sports Marketing and Sponsorship, 23 (2), 229-240.

Cho, G., Hwang, H., Sarstedt, M. & Ringle C.M.(2022) A Prediction-Oriented Specification Search Algorithm for Generalized Structured Component Analysis, Structural Equation Modeling: A Multidisciplinary Journal. 29:4, 611-619.

Cho, G., Schlägel, C., Hwang, H., Choi, Y., Sarstedt, M., & Ringle, C. M. (2022). Integrated Generalized Structured Component Analysis: On the Use of Model Fit Criteria in International Management Research. Management International Review, 62, 569–609.

Damberg, S. & Frömbling, L. (2022). "Furry Tales": Pet Ownership's Influence on Subjective Well-being During Covid-19 Times, Quality & Quantity, 56, 3645-3664.

Ghasemy, M. & Frömbling, L. (2022). Stay Positive: Studying the Change Patterns in Academics' Job and Life Satisfaction During the Covid-19 Pandemic Through Growth Curve Modeling, Evidence-based HRM. Vol. ahead-of-print No. ahead-of-print.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 3rd edition, Thousand Oaks: Sage. ISBN: 978-1-5443-9640-8

Magno, F., Cassia, F. and Ringle, C.M. (2022), A brief review of partial least squares structural equa-tion modeling (PLS-SEM) use in quality management studies, The TQM Journal, Vol. ahead-of-print No. ahead-of-print.

Memon, M. A., Ting, H., Ringle, C., Cheah, J.-H., & Muenjohn, N. (2022). Guest Editorial: Green Human Resource Management and the Implications of Culture on its Practices in Asia. International Journal of Manpower, 43(3), 589-594.

Richter, N.F., Hauff, S., Ringle, C.M. & Gudergan, S. (2022). The Use of Partial Least Squares Structural Equation Model-ing and Complementary Methods in International Management Research. Management International Review 62, 449–470.

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) 10351064.

Sarstedt, M., Radomir, L., Moisescu, O. I., & Ringle, C. M. (2022). Latent Class Analysis in PLS-SEM: A Review and Recommendations for Future Applications, Journal of Business Research, 138, 398-407.

Sharma, P. N., Liengaard, B. D., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2022). Extraordinary Claims Require Extraordinary Evidence: A Comment on “the Recent Developments in PLS”. Communications of the Association for Information Systems, forthcoming.

Sitar-Taut, D.-A., Mican, D., Frömbling, L., & Sarstedt, M. (2022, in press). Digital Socialligators? Social Media-Induced Perceived Support During the Transition to the COVID-19 Lockdown, Social Science Computer Review.