Dr Claudia van Oppen (D.r.)

Key publications
  • Wetzels, M. G. M., Odekerken-Schröder, G. J., & van Oppen, C. A. M. L. (2009). Using PLS Path Modeling for Assessing Hierarchical Construct Models: Guidelines and Empirical Illustration. Mis Quarterly, 33(1), 177-195. https://doi.org/10.2307/20650284
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  • van Oppen, C. A. M. L. (2007). From rags to richness : A structuration perspective on interactional richness and its impact on customer evaluations of online experiences. [Doctoral Thesis, Maastricht University]. Maastricht University. https://doi.org/10.26481/dis.20070704co
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  • van Oppen, C. A. M. L., Odekerken-Schröder, G. J., & Wetzels, M. G. M. (2005). Experiential value: a hierarchical model, the impact on e-loyalty and a customer typology. METEOR, Maastricht University School of Business and Economics. METEOR Research Memorandum No. 017 https://doi.org/10.26481/umamet.2005017
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  • van Oppen, C. A. M. L., Odekerken-Schröder, G. J., de Wulf, K., & de Canniere, M. (2001). What Drives Consumer Participation to Loyalty Programs: A Conjoint Analytical Approach. In E. Breivik, AW. Falkenberg, & Gronhaug (Eds.), Research Conference Proceedings, Rethinking European Marketing NHH/EMAC.
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  • Odekerken-Schröder, G. J., de Wulf, K., van Oppen, C. A. M. L., & de Canniere, M. (2003). Loyalty Monitor Onderzoek. In P. Kotler (Ed.), Principes van Marketing (pp. 419-420). Pearson/Prentice Hall.
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  • Sun, C., Ippel, L., van Soest, J., Wouters, B., Malic, A., Adekunle, O., van den Berg, B., Mussmann, O., Koster, A., van der Kallen, C., van Oppen, C., Townend, D., Dekker, A., & Dumontier, M. (2019). A Privacy-Preserving Infrastructure for Analyzing Personal Health Data in a Vertically Partitioned Scenario. Studies in Health Technology and Informatics, 264, 373-377. https://doi.org/10.3233/SHTI190246
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  • van Soest, J., Sun, C., Mussmann, O., Puts, M., van den Berg, B., Malic, A., van Oppen, C., Townend, D., Dekker, A., & Dumontier, M. (2018). Using the Personal Health Train for Automated and Privacy-Preserving Analytics on Vertically Partitioned Data. In BUILDING CONTINENTS OF KNOWLEDGE IN OCEANS OF DATA: THE FUTURE OF CO-CREATED EHEALTH (Vol. 247, pp. 581-585). IOS Press. https://doi.org/10.3233/978-1-61499-852-5-581
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