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


Recent Publications

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 (January 2019), 18-27. [Link]

2018

Ali, F., Rasoolmanesh, 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. [Link]

Avkiran, N. K. & Ringle, C. M. (Eds.) (2018). Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Springer: Berlin. [Link]

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. [Link]

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. [Link]

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. [Link]

Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2018, forthcoming). Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice. Business Research. [Link]

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. [Link]

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. [Link]

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. [Link]

Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2018, in press). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management. [Link]

Rosenbusch, J., Ismail, I. R., & Ringle, C. M. (2018, forthcoming). The Agony of Choice for Medical Tourists: A Patient Satisfaction Index Model. Journal of Hospitality and Tourism Technology. [Link]

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. [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. [Link]

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. [Link]

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

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. [Link]

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. [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. forthcoming). 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]