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

2021

Damberg, S. (2021). Wahrgenommene Reputation der Genossenschaftsbanken und nachhaltige Zufriedenheit ihrer Mitglieder-Kunden in Deutschland, Zeitschrift für das gesamte Genossenschaftswesen (ZfgG), 71(2), 70-89. [Link]

Hair, J. F., Cheah, J.-H., Ringle, C. M., Sarstedt, M., & Ting, H. (2021). Guest Editorial, European Business Review, 33(1), 1-8. [Link]

Liengaard, B. D., 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. [Link]

Liu, Y., Ting, H., & Ringle, C. M. (2021, in press). Appreciation to and Behavior Intention Regarding Upscale Ethnic Restaurants, Journal of Hospitality & Tourism Research. [Link]

Rasoolimanesh, S. M., Ringle, C. M., Sarstedt, M., & Olya, H. (2021, in press). The Combined Use of Symmetric and Asymmetric Approaches: Partial Least Squares-Structural Equation Modeling and Fuzzy-Set Qualitative Comparative Analysis, International Journal of Contemporary Hospitality Management. [Link]

2020

Chaouali, W., Souiden, N., & Ringle, C. M. (2020, in press). Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspctive, Wisdom and Emotional Intelligence, Journal of Services Marketing. [Link]

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(4), 189-202. [Link

Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. M. (2020, in press). This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research, Higher Education. [Link]

Hair, J. F., Binz Astrachan, C., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2020, in press). Executing and Interpreting Applications of PLS-SEM: Updates for Family Business Researchers, Journal of Family Business Strategy. [Link]

Hwang, H., Sarstedt, M., Cheah, J. H., & Ringle, C. M. (2020). A Concept Analysis of Methodological Research on Composite-Based Structural Equation Modeling: Bridging PLSPM and GSCA, Behaviormetrika, 47, 219-241. [Link]

Nunkoo, R., Teeroovengadum, V., Ringle, C. M., & Sunnassee, V. (2020). Service Quality and Customer Satisfaction: The Moderating Effects of Hotel Star Rating, International Journal of Hospitality Management, 91, 102414. [Link]

Richter, N. F., Schubring, S., Hauff, S., Ringle, C. M., & Sarstedt, M. (2020, in press). When Predictors of Outcomes Are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA, Industrial Management & Data Systems, 120(12), 2243-2267. [Link]

Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020). Partial least squares structural equation modeling in HRM research. The International Journal of Human Resource Management, 31(12), 1617-1643. [Link]

Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020, in press). Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, 1-12. [Link]

Sarstedt, M. & Ringle, C. M. (2020). Structural Equation Models: From Path to Networks (Westland 2019), Psychometrika. [Link]

Sarstedt, M., Ringle, C. M., Cheah, J.-H., Ting, H., Moisescu, O. I., & Radomir, L. (2020). Structural Model Robustness Checks in PLS-SEM, Tourism Economics, 26(4), 531-554. [Link]

Schlittgen, R., Sarstedt, M., & Ringle, C. M. (2020, in press). Data Generation for Composite-Based Structural Equation Modeling Methods, Advances in Data Analysis and Classification, 1-11. [Link]

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, 18-27. [Link]

Boekholt, J.-O., Richter, N. F., & Ringle, C. M. (2019). Zur Erfolgsrelevanz von Teamgröße und Diversität: Eine Analyse am Beispiel von Führungsteams in der Luftfahrtindustrie. In: Schröder, M. & Wegner, K. (Eds.), Logistik im Wandel der Zeit - Von der Produktionssteuerung zu vernetzten Supply Chains: Eine Festschrift für Wolfgang Kersten zum 60. Geburtstag, 733-746, Wiesbaden: Springer. [Link]

Hair, J. F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial Least Squares Structural Equation Modeling-based Discrete Choice Modeling: An Illustration in Modeling Retailer Choice. Business Research, 12, 115-142. [Link]

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. [Link]

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. [Link]

Khan, G. F., Sarstedt, M., Shiau, W.-L., Hair, J. F., Ringle, C. M., & Fritze, M. P. (2019). Methodological Research on Partial Least Squares Structural Equation Modeling (PLS-SEM): An Analysis Based on Social Network Approaches, Internet Research. [Link]

Kotilainen, K., Saari, U. A., Mäkinen, S. J., & Ringle, C. M. (2019). Exploring the Microfoundations of End-user Interests toward Co-creating Renewable Energy Technology Innovations, Journal of Cleaner Production, 229, 203-212. [Link]

Ringle, C. M. (2019). What Makes a Great Textbook? Lessons Learned from Joe Hair. In: Babin, B. J., Sarstedt, M. (Eds.), The Great Facilitator - Reflections on the Contributions of Josep F. Hair, Jr. to Marketing and Business Research, 131-150, Cham: Springer. [Link]

Sarstedt, M., Hair, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to Specify, Estimate, and Validate Higher-Order Constructs in PLS-SEM, Australasian Marketing Journal, 27(3), 197-211. [Link]

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., 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. [Link]