Prof. Dr. C. M. Ringle
Profile
Christian M. Ringle is a Chaired Professor and the Director of the Institute of Management and Decision Sciences at the Hamburg University of Technology (Germany), an Adjunct Professor at the James Cook University (Australia), and a Visiting Guest Researcher at the University of California, Berkeley (USA). He holds a PhD from the Faculty of Business and Economics at the (Germany) and graduated with a Master of Business Administration (MBA) from the University of Kansas (USA). Among other research stays and appointments, Christian was a visiting researcher at the Georgia State University (USA), the Osaka City University (Japan), and the University of Technology Sydney (Australia). Moreover, he was an Adjunct Professor at the University of Newcastle (Newcastle) and the University of Waikato (New Zealand). His research focuses on management and marketing topics, method development, business analytics, machine learning, and the application of business research methods to decision making. His contributions have been published in journals such as Decision Sciences, European Journal of Marketing, International Journal of Research in Marketing, Information Systems Research, Journal of Business Research, Journal of Service Research, Journal of the Academy of Marketing Science, Long Range Planning, and MIS Quarterly. Since 2018, Christian has been included in the Clarivate Analytics' Highly Researchers list. He offers online courses and regularly teaches doctoral seminars on business analytics and multivariate analysis methods worldwide (e.g., PLS-SEM). He is a co-developer and cofounder of the statistical software SmartPLS.
Among others, Prof. Dr. Christian M. Ringle holds the following positions:
- Executive Director of International Affairs at TUHH
- Member of the Regional Board of the German Association of University Professors and Lecturers (Deutscher Hochschulverband - DHV)
- Member of the Supervisory Board of the Northern Institute of Technology Management
- Editorial Board Member of the Journal of Business Research (JBR)
- Fulbright Liaison Professor at the TUHH
According to Google Scholar, Prof. Dr Christian M. Ringle's research has been cited more than 200,000 times in the last five years.
The five most cited publications
- 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.
- Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet, Journal of Marketing Theory and Practice, 19(2), 139–151.
- Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-320.
- Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling, Journal of the Academy of Marketing Science, 43(1), 115-135.
- Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research, Journal of the Academy of Marketing Science (JAMS), 40(3), 414-433.
Journal Articles
2024
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.
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.
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. (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. 48, 109074.
Sarstedt, M. & Hair, J. & Ringle, C. (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.
Sharma, P. N., Liengaard, B. D., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2023). Extraordinary Claims Require Extraordinary Evidence: A Comment on “Recent Developments in PLS”. Communications of the Association for Information Systems, 52, 739-742.
Teeroovengadum, V., Ringle, C.M., Nunkoo, R., Coates, H. (2023), Quality of higher education experi-ence, satisfaction, and well-being: genuinely caring for our students-consumers, Journal of Marketing for Higher Education, pp. 1-23.
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, 100457.
Becker, J.M., Proksch, D., & Ringle, C.M. (2022). Revisiting Gaussian Copulas to Handle Endogenous Regressors. Journal of the Academy of Marketing Science, 50, 46-66.
Cepeda-Carrión, G., Hair, J.F., Ringle, C.M., Roldán, J.L. and 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., Schwaiger, M. & Ringle, C.M. (2022). What’s important for relationship management? The mediating roles of relational trust and satisfaction for loyalty of cooperative banks’ customers, Journal of Marketing Analytics, 10, 3-18.
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) 1035– 1064.
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.
2021
Chaouali, W., Souiden, N., & Ringle, C. M. (2021). Elderly Customers' Reactions to Service Failures: The Role of Future Time Perspctive, Wisdom and Emotional Intelligence, Journal of Services Marketing, 35(1), 65-77.
Hair, J. F., Binz Astrachan, C., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and Interpreting Applications of PLS-SEM: Updates for Family Business Researchers, Journal of Family Business Strateg, 12(3), 10092.
Hair, J. F., Cheah, J.-H., Ringle, C. M., Sarstedt, M., & Ting, H. (2021). Guest Editorial: Predicting Consumer Behavior Using Partial Least Squares Structural Equation Modeling (PLS-SEM). European Business Review, 33(1), 1-8.
Hwang, H., Ringle C.M,, & Sarstedt, S. (2021). Guest Editorial: Special Issue on Composite-based Structural Equation Modeling. SIGMIS Database 52, 7-9.
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.
Rasoolimanesh, S. M., Ringle, C. M., Sarstedt, M., & Olya, H. (2021). 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, 33(5), 1571-1592.
Saari, U. A., Damberg, S., Frömbling, L., & Ringle, C. M. (2021). Sustainable Consumption Behavior of Europeans: The Influence of Environmental Knowledge and Risk Perception on Environmental Concern and Behavioral Intention, Ecological Economics, 189(107155).
Ting, H., Cheah, J.-H., Lim, X.-J., Ringle, C. M., Liu, Y., & Leong, C.-M. (2021). Guest Editorial: Are They All the Same? A Rethink of Young Consumers through the Lens of Generation Theories, Young Consumers, 22(1), 1-9.
2020
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.
Ghasemy, M., Teeroovengadum, V., Becker, J.-M., & Ringle, C. M. (2020). This Fast Car Can Move Faster: A Review of PLS-SEM Application in Higher Education Research, Higher Education, 80, 1121-1152.
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.
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.
Richter, N. F., Schubring, S., Hauff, S., Ringle, C. M., & Sarstedt, M. (2020). When Predictors of Outcomes Are Necessary: Guidelines for the Combined Use of PLS-SEM and NCA, Industrial Management & Data Systems, 120(12), 2243-2267.
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.
Sarstedt, M., Hair, J. F., Nitzl, C., Ringle, C. M., & Howard, M. C. (2020). Beyond a Tandem Analysis of SEM and PROCESS: Use of PLS-SEM for Mediation Analyses!, International Journal of Market Research, 62(3), 288-299.
Sarstedt, M. & Ringle, C. M. (2020). Structural Equation Models: From Path to Networks (Westland 2019), Psychometrika, 85, 841-844.
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.
Schlittgen, R., Sarstedt, M., & Ringle, C. M. (2020). Data Generation for Composite-Based Structural Equation Modeling Methods, Advances in Data Analysis and Classification, 14, 747-757.
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.
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, 115-140.
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.
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.
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, 29(3), 407-429.
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.
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.
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.
2018
Ali, F., Rasoolimanesh, 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
2016
Cepeda Carrión, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016). Prediction-oriented Modeling in Business Research by Means of PLS Path Modeling: Introduction to a JBR Special Section, Journal of Business Research, 69(10), 4545–4551.
Hair, J. F., Sarstedt, M., Matthews, L. M., & Ringle, C. M. (2016). Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part I – Method, European Business Review, 28(1), 63-76.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares, International Marketing Review, 33(3), 405-431.
Matthews, L. M., Sarstedt, M., Hair, J. F., & Ringle, C. M. (2016). Identifying and Treating Unobserved Heterogeneity with FIMIX-PLS: Part II - A Case Study. European Business Review, 28(2), 208-224.
Relling, M., Schnittka, O., Ringle, C. M., Sattler, H., & Johnen, M. (2016). Community Members' Perception of Brand Community Character: Construction and Validation of a New Scale, Journal of Interactive Marketing, 36, 107-120.
Richter, N. F., Cepeda Carrión, G., Roldán, J. L., & Ringle, C. M. (2016). European Management Research Using Partial Least Squares Structural Equation Modeling (PLS-SEM), European Management Journal, 34(6), 589-597.
Richter, N. F., Hauff, S., Schlägel, C., Gudergan, S., Ringle, C. M., & Gunkel, M. (2016). Using Cultural Archetypes in Cross-cultural Management Studies, Journal of International Management, 22(1), 63-83.
Richter, N. F., Sinkovics, R. R., Ringle, C. M., & Schlägel, C. (2016). A Critical Look at the Use of SEM in International Business Research, International Marketing Review, 33(3), 376-404.
Ringle, C. M., & Sarstedt, M. (2016). Gain More Insight from Your PLS-SEM Results: The Importance-Performance Map Analysis, Industrial Management & Data Systems, 116(9), 1865-1886.
Sarstedt, M., Hair, J. F., Ringle, C. M., Thiele, K. O., & Gudergan, S. (2016). Estimation Issues with PLS and CBSEM: Where the Bias Lies!. Journal of Business Research, 69(10), 3998-4010.
Sarstedt, M., Ringle, C. M., & Gudergan, S. (2016). Guidelines for Treating Unobserved Heterogeneity in Tourism Research: A Comment on Marques and Reis (2015), Annals of Tourism Research, 57, 279-284.
Schlittgen, R., Ringle, C. M., Sarstedt, M., & Becker, J.-M. (2016). Segmentation of PLS Path Models by Iterative Reweighted Regressions, Journal of Business Research, 69(10), 4583-4592.
Schubring, S., Lorscheid, I., Meyer, M., & Ringle, C. M. (2016). The PLS Agent: Predictive Modeling with PLS-SEM and Agent-based Simulation. Journal of Business Research, 69(10), 4604–4612.
2015
Becker, J.-M., Ringle, C. M., Sarstedt, M., & Völckner, F. (2015). How Collinearity Affects Mixture Regression Results. Marketing Letters, 26(4), 643-659.
Bido, D., da Silva, D., & Ringle, C. M. (2015). Structural Equation Modeling with the SmartPLS, Brazilian Journal of Marketing, 13(2).
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling, Journal of the Academy of Marketing Science, 43(1), 115-135.
2014
Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen, D. J. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common Beliefs and Reality about Partial Least Squares: Comments on Rönkkö & Evermann (2013). Organizational Research Methods, 17(2), 182-209.
Rigdon, E. E., Becker, J.-M., Rai, A., Ringle, C. M., Diamantopoulos, A., Karahanna, E., Straub, D., & Dijkstra, T. K. (2014). Conflating Antecedents and Formative Indicators: A Comment on Aguirre-Urreta and Marakas, Information Systems Research, 25(4), 780-784.
Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2014). Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling, OR Spectrum, 36(1), 251-276.
Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2014). Online Appendix: Genetic Algorithm Segmentation in Partial Least Squares Structural Equation Modeling. OR Spectrum, 36(1), Supplementary material (available online).
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2014). PLS-SEM: Looking Back and Moving Forward, Long Range Planning, 47(3), 132-137.
Sarstedt, M., Ringle, C. M., Henseler, J., & Hair, J. F. (2014). On the Emancipation of PLS-SEM: A Commentary on Rigdon (2012), Long Range Planning, 47(3), 154-160.
Sarstedt, M., Ringle, C. M., Raithel, S., & Gudergan, S. P. (2014). In Pursuit of Understanding What Drives Fan Satisfaction, Journal of Leisure Research, 46(4), 419-447.
Sarstedt, M., Ringle, C. M., Smith, D., Reams, R., & Hair, J. F. (2014). Partial Least Squares Structural Equation Modeling (PLS-SEM): A Useful Tool for Family Business Researchers, Journal of Family Business Strategy, 5(1), 105-115.
Schloderer, M. P., Sarstedt, M., & Ringle, C. M. (2014). The Relevance of Reputation in the Nonprofit Sector: The Moderating Effect of Socio-Demographic Characteristics, International Journal of Nonprofit and Voluntary Sector Marketing, 19(2), 110-126.
2013
Becker, J.-M., Rai, A., Ringle, C. M., & Völckner, F. (2013). Discovering Unobserved Heterogeneity in Structural Equation Models to Avert Validity Threats. MIS Quarterly, 37(3), 665-694.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013). Partial Least Squares Structural Equation Modeling: Rigorous Applications, Better Results and Higher Acceptance, Long Range Planning, 46(1-2), 1-12.
Klarner, P., Sarstedt, M., Höck, M., & Ringle, C. M. (2013). Disentangling the Effects of Team Competences, Team Adaptability, and Client Communication on the Performance of Management Consulting Teams, Long Range Planning, 46(3), 258-286.
Ringle, C. M., Ladwig, T. J., & Richter, N. F. (2013). Konvergenz von Kulturen. Das Wirtschaftsstudium (WISU), 42(7), 925-931.
Ringle, C. M., Sarstedt, M., Schlittgen, R., & Taylor, C. R. (2013). PLS Path Modeling and Evolutionary Segmentation, Journal of Business Research, 66(9), 1318-1324.
2012
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012). Partial Least Squares: The Better Approach to Structural Equation Modeling? Long Range Planning, 45(5-6), 312-319.
Hair, J. F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications, Long Range Planning, 45(5-6), 320-340.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An Assessment of the Use of Partial Least Squares Structural Equation Modeling in Marketing Research, Journal of the Academy of Marketing Science (JAMS), 40(3), 414-433.
Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editors Comments: A Critical Look at the Use of PLS-SEM, MIS Quarterly, 36(1), iii–xiv.
2011
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a Silver Bullet, Journal of Marketing Theory and Practice, 19(2), 139–151.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). The Use of Partial Least Squares (PLS) to Address Marketing Management Topics: From the Special Issue Guest Editors, Journal or Marketing Theory and Practice, 19(2), 135-138.
Höck, M., & Ringle, C. M. (2011). Does Speed Really Matter When it Comes to Alliance Performance? The Polish Journal of Management Studies, 2(1), 81-105.
Höck, M., Ringle, C. M., & Sarstedt, M. (2011). Einfluss der internen Qualität auf die Servicequalität und Kundenzufriedenheit: Eine explorative Analyse von Unternehmensberatungsprojekten. Die Betriebswirtschaft (DBW), 71(6), 577-597.
Kocyigit, O., & Ringle, C. M. (2011). The Impact of Brand Confusion on Sustainable Brand Satisfaction and Private Label Proneness: A Subtle Decay of Brand Equity, Journal of Brand Management, 19(3), 195-212.
Rigdon, E. E., Ringle, C. M., Sarstedt, M., & Gudergan, S. P. (2011). Assessing Heterogeneity in Customer Satisfaction Studies: Across Industry Similarities and within Industry Differences, Advances in International Marketing, 22, 169-194.
Ringle, C. M., Sarstedt, M., & Zimmermann, L. (2011). Customer Satisfaction with Commercial Airlines: The Role of Perceived Safety and Purpose of Travel, Journal of Marketing Theory and Practice, 19(4), 459–472.
Sarstedt, M., Becker, J.-M., Ringle, C. M., & Schwaiger, M. (2011). Uncovering and Treating Unobserved Heterogeneity with FIMIX-PLS: Which Model Selection Criterion Provides an Appropriate Number of Segments? Schmalenbach Business Review (sbr), 63(1), 34-62.
Sarstedt, M., Henseler, J., & Ringle, C. M. (2011). Multi-Group Analysis in Partial Least Squares (PLS) Path Modeling: Alternative Methods and Empirical Results, Advances in International Marketing, 22, 195-218.
2010
Höck, C., Ringle, C. M., & Sarstedt, M. (2010). Management of Multi-Purpose Stadiums: Importance and Performance Measurement of Service Interfaces. International Journal of Services Technology and Management, 14(2/3), 188-207.
Höck, M., & Ringle, C. M. (2010). Local Strategic Networks in the Software Industry: An Empirical Analysis of the Value Continuum. International Journal of Knowledge Management Studies, 4(2), 132-151.
Rigdon, E. E., Ringle, C. M., & Sarstedt, M. (2010). Structural Modeling of Heterogeneous Data with Partial Least Squares, Review of Marketing Research, 7, 255-296.
Sarstedt, M., & Ringle, C. M. (2010). Treating Unobserved Heterogeneity in PLS Path Modeling: A Comparison of FIMIX-PLS with Different Data Analysis Strategies, Journal of Applied Statistics, 37(8), 1299-1318.
Sattler, H., Völckner, F., Riediger, C., & Ringle, C. M. (2010). The Impact of Brand Extension Success Factors on Brand Extension Price Premiums. International Journal of Research in Marketing (IJRM), 27(4), 319-328.
Völckner, F., Sattler, H., Hennig-Thurau, T., & Ringle, C. M. (2010). The Role of Parent Brand Quality for Service Brand Extension Success. Journal of Service Research (JSR), 13(4), 379-396.
2009
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing, 20, 277-320.
Sarstedt, M., Schwaiger, M., & Ringle, C. M. (2009). Do We Fully Understand the Critical Success Factors of Customer Satisfaction with Industrial Goods? - Extending Festge and Schwaiger’s Model to Account for Unobserved Heterogeneity. Journal of Business Market Management, 3(3), 185-206.
2008
Boysen, N., & Ringle, C. M. (2008). Die Definition in der betriebswirtschaftlichen Forschung: Reflexionen und empirischer Befund. Zeitschrift für Betriebswirtschaft, 78(1), 9-33.
Boysen, N., & Ringle, C. M. (2008). Über die Wirkung der Optionsbündelung auf die Ablaufplanung einer Variantenfließfertigung. Zeitschrift für Planung und Unternehmenssteuerung, 18(3), 301-321.
Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008). Confirmatory Tetrad Analysis in PLS Path Modeling. Journal of Business Research, 61(12), 1238–1249.
Sarstedt, M., & Ringle, C. M. (2008). Heterogenität in varianzbasierter Strukturgleichungsmodellierung: Eine Analyseprozedur zur systematischen Anwendung von FIMIX-PLS. Marketing ZFP, 30(4), 239-255.
2007
Höck, C., Höck, M., & Ringle, C. M. (2007). Fußball-Arenen - PLS-Pfadanalyse zur Messung der Besucherzufriedenheit. Das Wirtschaftsstudium, 36(12), 1564-1570.
Höck, C., & Ringle, C. M. (2007). Analyse der Zufriedenheit von Besuchern moderner Multifunktionsarenen: Eine kausalanalytische Untersuchung und indexwertorientierte Ergebnisbeurteilung. Marketing ZFP, 29(3), 181-193.
Ringle, C. M., & Spreen, F. (2007). Beurteilung der Ergebnisse von PLS-Pfadanalysen. Das Wirtschaftsstudium, 36(2), 211-216.
2006
Hansmann, K.-W., & Ringle, C. M. (2006). Zur Eignung von Virtuellen Unternehmungen als Kooperationsform in Zeiten raschen Wandels. Zeitschrift für Management, 1(2), 94-111.
Ringle, C. M., Boysen, N., Wende, S., & Will, A. (2006). Messung von Kausalmodellen mit dem Partial-Least-Squares-Verfahren. Das Wirtschaftsstudium, 35(1), 81-87.
Ringle, C. M., & Kiyota, T. (2006). Der genossenschaftliche Bankensektor in Japan - Gegenwärtiger Stand und Perspektiven. BankArchiv, 54(3), 161-166.
2005
Hansmann, K.-W., & Ringle, C. M. (2005). Erfolgsmessung und Erfolgswirkung Virtueller Unternehmungen. Zeitschrift Führung + Organisation, 74(1), 11-17.
Hansmann, K.-W., & Ringle, C. M. (2005). Wirkung einer Teilnahme an Unternehmensnetzwerken auf die strategischen Erfolgsfaktoren der Partnerunternehmen: Eine empirische Untersuchung. Die Unternehmung, 59(3), 217-236.
Ringle, C. M. (2005). Genossenschaftsbanken in Japan. Die Gewerbliche Genossenschaft, 133(9), 19-22.
Ringle, C. M. (2005). Integration von Market-based View und Resource-based View des strategischen Managements: Das Kooperationskonzept der Virtuellen Unternehmung. Der Betriebswirt, 46(1), 9-18.
Ringle, C. M., Boysen, N. (2005). Ameisen-Algorithmen und das Hochzeitsproblem. Das Wirtschaftsstudium (WISU), 34(3), 327-332.
Ringle, C. M., Hansmann, K.-W., & Boysen, N. (2005). Erfolgswirkung einer Partizipation an Virtuellen Unternehmungen. Zeitschrift für Planung und Unternehmenssteuerung, 16(2), 147-166.
2004
Hansmann, K.-W., & Ringle, C. M. (2004). Das Kooperationskonzept des Virtuellen Unternehmens. Das Wirtschaftsstudium, 33(10), 1222-1230.
Ringle, C. M. (2004). Die Virtuelle Unternehmung - Ausprägungsformen und Abgrenzung. Der Betriebswirt, 45(2), 21-29.
Ringle, C. M. (2004). Ein europäisches Spitzeninstitut der Genossenschaftsbanken - Vision oder Illusion? Zeitschrift für das gesamte Genossenschaftswesen, 54(4), 260-268.
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.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R, Cham: Springer.
Hair, J. F., Sarstedt, M., Ringle, C. M., Gudergan, S., Castillo Apraiz, J., Cepeda Carrión, G. A., & Roldán, J. L. (2021). Manual Avanzado de Partial Least Squares Structural Equation Modeling (PLS-SEM), OmniaScience Scholar: Terrassa, Barcelona.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2019). Những vấn đề nâng cao trong mô hình phương trình cấu trúc bình phương tối thiểu riêng phần.
Hair, J. F., Sarstedt, M., Ringle, C. M., Gudergan, S. P., & Tang, J. (2019). 進階結構方程模式. Thousand Oaks: Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G. A., & Roldán, J. L. (2019). Manual de Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, OmniaScience Scholar.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced Issues in Partial Least Squares Structural Equation Modeling. Thousand Oaks: Sage
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.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd Edition, Thousand Oaks: Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2016). 結構方程模式: 偏最小平方法 PLS-SEM. Thousand Oaks: Sage.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling. Thousand Oaks: Sage.
Ringle, C. M., & Kiyota, T. (2005). Der genossenschaftliche Bankensektor in Japan. Hamburg: Mauke.
Ringle, C. M. (2004). Kooperation in Virtuellen Unternehmungen: Auswirkungen auf die strategischen Erfolgsfaktoren der Partnerunternehmen. Hamburg: Deutscher Universitätsverlag.
Bickhoff, N., Böhmer, C., Eilenberger, G., Hansmann, K.-W., Niggemann, M., Ringle, C. M., Spremann, K., & Tjaden, G. (2003). Mit Virtuellen Unternehmen zum Erfolg: Ein Quick-Check für Manager. Berlin: Springer.
Ringle, C. M. (2003). Die genossenschaftlichen Bankenverbünde in Deutschland und in den Niederlanden: Perspektiven für eine europaweite Kooperation. Hamburg: Mauke.
Ringle, C. M. (2000). Strategic Management in the Telecommunications Industry, Competition in the Local Loop. Norderstedt: BoD.
Book Sections
Richter, N. F., Hauff, S., Ringle, C. M., Sarstedt, M., Kolev, A. E., & Schubring, S. (2023). How to apply necessary condition analysis in PLS-SEM. In L. Hengky, J. F. Hair, & R. Noonan (Eds.), Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications Springer.
Sarstedt, M., Hair, J.F., Pick, M., Liengaard, B.D., Radomir, L., Ringle, C.M. (2023). An Updated Assessment of Model Evaluation Practices in PLS-SEM: An Abstract. In: Jochims, B., Allen, J. (eds) Op-timistic Marketing in Challenging Times: Serving Ever-Shifting Customer Needs. AMSAC 2022. Devel-opments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham.
Sharma, P.N., Liengaard, B.D., Hair, J.F., Sarstedt, M., Ringle, C.M. (2023). Predictive Model Assessment in PLS-SEM: Extensions and Guidelines: An Abstract. In: Jochims, B., Allen, J. (eds) Opti-mistic Marketing in Challenging Times: Serving Ever-Shifting Customer Needs. AMSAC 2022. Devel-opments in Marketing Science: Proceedings of the Academy of Marketing Science. Springer, Cham.
Nunkoo, R., Teeroovengadum, V. & Ringle, C.M. (2021). Introduction: advances in marketing research methods. In: Nunkoo, R., Teeroovengadum, V. & Ringle, C.M. (eds) Handbook of Research Methods for Marketing Management.Cheltenham: Edward Elgar Publishing.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). Partial Least Squares Structural Equation Modeling. In: Homburg, C., Klarmann, M., Vomberg, A. E. (eds.) Handbook of Market Research. Springer: Cham.
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.
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 Joseph F. Hair, Jr. to Marketing and Business Research, 131-150, Cham: Springer.
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.
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. 1-40). Heidelberg: Springer.
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017). Treating Unobserved Heterogeneity in PLS-SEM: A Multi-Method Approach. In R. Noonan & H. Latan (Eds.), Partial Least Squares Structural Equation Modeling: Basic Concepts, Methodological Issues and Applications (pp. 197-217). Springer.
Ahrholdt, D. C., Gudergan, S. P., & Ringle, C. M. (2016). What Drives Customer Loyalty? Nonlinear Effects of Customer Delight and Satisfaction on Loyalty and the Moderating Role of Service Experience. In C. Campbell & J. J. Ma (Eds.), Looking Forward, Looking Back: Drawing on the Past to Shape the Future of Marketing (pp. 742-750). Cham: Springer International Publishing
Thiele, K. O., Sarstedt, M., & Ringle, C. M. (2016). Mirror, Mirror on the Wall: A Comparative Evaluation of Six Structural Equation Modeling Methods. In: Kim, K. (Eds.), Celebrating America’s Pastimes: Baseball, Hot Dogs, Apple Pie and Marketing?. Developments in Marketing Science: Proceedings of the Academy of Marketing Science, (pp.991-992). Cham: Springer.
Henseler, J., Ringle, C. M., & Sarstedt, M. (2012). Using Partial Least Squares Path Modeling in International Advertising Research: Basic Concepts and Recent Issues. In S. Okazaki (Ed.), Handbook of Research in International Advertising (pp. 252-276). Cheltenham: Edward Elgar Publishing.
Ringle, C. M., Sarstedt, M., & Mooi, E. A. (2010). Response-based Segmentation Using Finite Mixture Partial Least Squares: Theoretical Foundations and an Application to American Customer Satisfaction Index Data. In Stahlbock, R., Crone, S. F. & Lessmann, S. (Eds.), Annals of Information Systems (Vol. 8, pp. 19-49). New York: Springer.
Ringle, C. M., Wende, S., & Will, A. (2010). Finite Mixture Partial Least Squares Analysis: Methodology and Numerical Examples. In V. Esposito Vinzi, W. W. Chin, J. Henseler & H. Wang (Eds.), Handbook of Partial Least Squares: Concepts, Methods and Applications in Marketing and Related Areas (pp. 195-218). Heidelberg: Springer.
Ringle, C. M., Sarstedt, M., & Schlittgen, R. (2009). Finite Mixture and Genetic Algorithm Segmentation in Partial Least Squares Path Modeling: Identification of Multiple Segments in Complex Path Models. In A. Fink, B. Lausen, W. Seidel & A. Ultsch (Eds.), Advances in Data Analysis, Data Handling and Business Intelligence (pp. 167-176). Berlin, Heidelberg: Springer.
Sarstedt, M., & Ringle, C. M. (2009). Erfassung unbeobachteter Heterogenität in varianzbasierter Strukturgleichungsmodellierung mit FIMIX-PLS. In A. Meyer & M. Schwaiger (Eds.), Theorien und Methoden der Betriebswirtschaft: Handbuch für Wissenschaftler und Studierende (pp. 593-617). München: Vahlen.
Schloderer, M., Ringle, C. M., & Sarstedt, M. (2009). Einführung in varianzbasierte Strukturgleichungsmodellierung: Grundlagen, Modellevaluation und Interaktionseffekte am Beispiel von SmartPLS. In A. Meyer & M. Schwaiger (Eds.), Theorien und Methoden der Betriebswirtschaft: Handbuch für Wissenschaftlicher und Studierende (pp. 564-592). München: Vahlen.
Boysen, N., Höck, C., Höck, M., & Ringle, C. M. (2008). Zum Einsatz quantitativer Methoden in der betriebswirtschaftlichen Forschung: Bestandsaufnahme und Perspektiven. In M. Höck & K.-I. Voigt (Eds.), Operations Management in Theorie und Praxis: Aktuelle Entwicklungen des Industriellen Managements (pp. 1-25). Wiesbaden: Gabler.
Boysen, N., Ringle, C. M. (2006). Optionsbündelung und Fertigungsablauf in der Automobilindustrie. In H.-D.- Haasis, H. Kopfer, J. Schönberger (Eds.), Operations Research Proceedings 2005 (pp. 149-154). Berlin, Heidelberg: Springer.
Ringle, C. M. (2005). Erfolgswirkung strategischer Allianzen aus Sicht der Kooperationspartner. In F. W. Bliemel, A. Eggert, G. Fassott & J. Henseler (Eds.), Handbuch PLS-Pfadmodellierung: Methode, Anwendung, Praxisbeispiele (pp. 307-320). Stuttgart: Schäffer-Poeschel.
Ringle, C. M., & Hansmann, K.-W. (2005). Enterprise-Networks and Strategic Success: An Empirical Analysis. In T. Theurl & E. C. Meyer (Eds.), Strategies for Cooperation (pp. 133-152). Aachen: Shaker.
Ringle, C. M., Hansmann, K.-W., & Boysen, N. (2005). Determinanten einer erfolgreichen Kooperation in Netzwerken. In D. Ahlert, R. Olbrich & H. Schröder (Eds.), Jahrbuch Vertriebs- und Handelsmanagement 2005: Netzwerkmanagement in Vertrieb, Handel und Dienstleistung (pp. 55-72). Berlin: Deutscher Fachverlag.
Hansmann, K.-W., & Ringle, C. M. (2004). Erfolgswirkungen von Kooperationen kleiner und mittlerer Unternehmen - eine vergleichende Analyse. In J.-A. Meyer (Ed.), Kooperationen von KMU in Europa - Jahrbuch der KMU-Forschung und -Praxis 2004 (pp. 11-30). Lohmar: Josef Eul Verlag.
Hansmann, K.-W., & Ringle, C. M. (2003). Erfolgsfaktoren Virtueller Unternehmen. In H. Jahnke & W. Brüggemann (Eds.), Betriebswirtschaftslehre und betriebliche Praxis (pp. 49-79). Wiesbaden: Deutscher Universitäts-Verlag.
Jahn, C., Kersten, W., & Ringle, C. M. (2021, eds.). Adapting to the future: how digitalization shapes sustainable logistics and resilient supply chain management. Berlin, Germany: epubli GmbH.
Jahn, C., Kersten, W., & Ringle, C. M. (2021, eds.). Adapting to the future: maritime and city logistics in the context of digitalization and sustainability. Berlin, Germany: epubli GmbH.
Nunkoo, R., Teeroovengadum, V., & Ringle, C. M. (2021, eds.). Handbook of Research Methods in Marketing Management. Bingley: Emerald.
Jahn, C., Kersten, W., & Ringle, C. M. (2020, eds.). Data Science and City Logistics: Data-driven Solutions for Logistics and Sustainability. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2020, eds.). Data Science and Innovation in Supply Chain Management: How Data Transforms the Value Chain. Berlin, Germany: epubli GmbH.
Jahn, C., Kersten, W., & Ringle, C. M. (2019, eds.). Digital Transformation in Maritime and City Logistics. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2019, eds.). Artificial Intelligence and Digital Transformation in Supply Chain Management: Innovative Approaches for Supply Chains. Berlin, Germany: epubli GmbH.
Avkiran, N. K., & Ringle, C. M. (2018, eds.). Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. Berlin: Springer.
Ringle, C. M., Blecker, T., Kersten, W. (2018, eds.). The Road to a Digitalized Supply Chain Management. Berlin, Germany: epubli GmbH.
Ringle, C. M., Kersten, W., Jahn, C. (2018, eds.). Logistics 4.0 and Sustainable Supply Chain Management. Berlin, Germany: epubli GmbH.
Jahn, C., Kersten, W., & Ringle, C. M. (2017, eds.). Digitalization in Maritime and Sustainable Logistics. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2017, eds.). Digitalization in Supply Chain Management and Logistics. Berlin, Germany: epubli GmbH.
Blecker, T., Kersten, W., & Ringle, C. M. (2015, eds.). Operational Excellence in Logistics and Supply Chains. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2015, eds.). Innovations and Strategies for Logistics and Supply Chains. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2015, eds.). Sustainability in Logistics and Supply Chain Management. Berlin, Germany: epubli GmbH.
Blecker, T., Kersten, W., & Ringle, C. M. (2014, eds.). Innovative Methods in Logistics and Supply Chain Management. Berlin, Germany: epubli GmbH.
Kersten, W., Blecker, T., & Ringle, C. M. (2014, eds.). Next Generation Supply Chains. Berlin, Germany: epubli GmbH.
Blecker, T., Kersten, W., & Ringle, C. M. (2013, eds.). Pioneering Solutions in Supply Chain Performance Management. Lohmar: Josef Eul.
Kersten, W., Blecker, T., & Ringle, C. M. (2013, eds.). Sustainability and Collaboration in Supply Chain Management. Lohmar: Josef Eul.
Blecker, T., Kersten, W., & Ringle, C. M. (2012, eds.). Pioneering Supply Chain Design: A Comprehensive Insight into Emerging Trends, Technologies and Applications. Lohmar: Josef Eul.
Kersten, W., Blecker, T., & Ringle, C. M. (2012, eds.). Managing the Future Supply Chain: Current Concepts and Solutions for Reliability and Robustness. Lohmar: Josef Eul.
Cepeda Carrión, G., Hair, J. F., Ringle, C. M., Roldán, J. L., Garciá, J. (2022, eds.). Sport Management Using Partial Least Squares Structural Equation Modeling (PLS-SEM). International Journal of Sport Marketing and Sponsorship, forthcoming.
Cheah J. H., Kersten, W., Ringle, C. M., Wallenburg, C. M. (2022, eds.). Predictive Modeling in Logistics and Supply Chain Management Research Using Partial Least Squares Structural Equation Modeling. International Journal of Physical Distribution & Logistics Management, forthcoming.
Hwang, H., Ringle, C. M., Sarstedt M. (2022, eds.). Using Advanced PLS-SEM Methods to Composite-based Structural Equation Modeling: Looking Ahead. ACM-SIGMIS Data Base for Advances in Information Systems, forthcoming.
Magno, F., Cassia, F., Ringle, C. M. (2022, eds.). Using Partial Least Squares Structural Equation Modeling (PLS-SEM) in Quality Management. The TQM Journal, forthcoming.
Memon, M. A., Ting, H., Ringle, C. M., Muenjon, N. (2022, eds.). Covid-19: The Role of Human Resources Management in Time of Uncertainty. The Bottom Line, forthcoming.
Mumtaz, A., Ringle, C. M., Muenjohn, N., Cheah, J.-H., & Ting, H. (2022, eds.). Green HRM and the Implications of Culture on its Practicesin Asia. International Journal of Manpower, forthcoming.
Richter, N. F., Hauff, S., Gudergan, S. P., & Ringle, C. M. (2022, eds.). The Use of Partial Least Squares Structural Equation Modeling (PLS-SEM) and Complementary Methods in International Management (IM) Research. Management International Review, forthcoming.
Sarstedt, M., Ringle, C. M., Radomir, L., Moisescu, O. I., & Gudergan, S. P. (2022, eds.). Advanced Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Business Research. Journal of Business Research, forthcoming.
Sinkovics, N., Ringle, C. M., & Sinkovics, R. (2022, eds.). PLS-SEM in Data Articles. Data in Brief, forthcoming.
Hair, J. F., Cheah, J.-H., Ringle, C. M., Sarstedt, M., & Ting, H. (2021, eds.). Predicting Consumer Behaviour Using Partial Least Squares Structural Equation Modelling (PLS-SEM). European Business Review, 33(1).
Cepeda Carrión, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2016, eds.). Prediction-Oriented Modeling in Business Research by Means of Partial Least Squares Path Modeling, Journal of Business Research, 69(10).
Richter, N., Cepeda, G., Roldán, J. L., & Ringle, C. M. (2016, eds.). European Management Research Using Partial Least Squares Structural Equation Modeling (PLS-SEM), European Management Journal, 34(6).
Cepeda, G., Henseler, J., Ringle, C. M., & Roldán, J. L. (2015, eds.). Modern Methods of Business Research: Partial Least Squares Path Modeling, Quality and Quantity.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2014, eds.). Rethinking Partial Least Squares Path Modeling: Looking Back and Moving Forward, Long Range Planning, 47(3).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2013, eds.). PLS Applications in Strategic Management: Partial Least Squares Modeling in Strategy Research, Long Range Planning Special Issue, 46(1).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2012, eds.). Analytical Approaches to Strategic Management: Partial Least Squares Path Modeling in Strategy Research, Long Range Planning, 45(5-6).
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011, eds.). The Use of Partial Least Squares (PLS) to Address Marketing Management Topics, Journal of Marketing Theory and Practice, 19(2).
Ringle, C. M., Wende, S., & Becker, J.-M. (2022). SmartPLS 4.
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3.
Ringle, C. M., Wende, S., & Will, A. (2005). SmartPLS 2 (beta).
Hansmann, K.-W., & Ringle, C. M. (2004). SmartPLS Benutzerhandbuch. Hamburg: University of Hamburg: Institute of Industrial Management.
