Welcome

These are the web pages of the Institute of Human Resource Management and Organizations (HRMO), 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

2023

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.

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.

2022

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., Lee, J., Hwang, H., Sarstedt, M., & Ringle, C. M. (2022). A Comparative Study of the Predictive Power of Component-based Approaches to Structural Equation Modeling, European Journal of Marketing, forthcoming.

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.

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

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, Marko, Hair, Joseph & Ringle, Christian. (2022). “PLS-SEM: indeed a silver bullet” – retro-spective observations and recent advances. Journal of Marketing Theory and Practice. 1-15.

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., Hair, J. F., Sarstedt, M., & Ringle, C. M. (2022). Predictive Model As-sessment and Selection in Composite-based Modeling Using PLS-SEM: Extensions and Guidelines for Using CVPAT. European Journal of Marketing, Vol. ahead-of-print No. ahead-of-print.

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.