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

2020

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]

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]

Liengaard, B. D., Sharma, P. N., Hult, G. T. M., Jensen, M. B., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2020, in press). Prediction: Coveted, Yet Forsaken? Introducing a Cross-Validated Predictive Ability Test in Partial Least Squares Path Modeling, Decision Sciences. [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., 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]

Nunkoo, R., Teeroovengadum, V., Ringle, C. M., & Sunnassee, V. (2019, in press). Service Quality and Customer Satisfaction: The Moderating Effects of Hotel Star Rating, International Journal of Hospitality Management. [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]

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

Hegner-Kakar, A.-K., Richter, N. F., & Ringle, C. M. (2018). The Customer Loyalty Cascade and Its Impact on Profitability in Financial Services. In N. K. Avkiran & C. M. Ringle (Eds.), Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance (pp. 53-75). Berlin: Springer. [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]

Rosenbusch, J., Ismail, I. R., & Ringle, C. M. (2018). The Agony of Choice for Medical Tourists: A Patient Satisfaction Index Model. Journal of Hospitality and Tourism Technology, 9(3), 267-279. [Link]

Schirmer, N., Ringle, C. M., Gudergan, S. P., & Feistel, M. S. G. (2018). The Link between Customer Satisfaction and Loyalty: The Moderating Role of Customer Characteristics. Journal of Strategic Marketing, 26(4), 298-317. [Link]