Enseignants
Langue
d'enseignement
d'enseignement
Anglais
Autres infos
Ce cours est enseigné en anglais et exclusivement réservé aux étudiants CEMS de la LSM. Merci de consulter la version anglaise du descriptif.
Bibliographie
All course material is (or will be) available from the course website (see Moodle).
Recommended readings
Textbooks:
Recommended readings
Textbooks:
- Evans, J. (2020), “Business Analytics,” 3rd edition, Pearson Educations.
- Frank, M., Braginsky, M., Cachia, J., Coles, N., Hardwicke, T., Hawkins, R., Mathur, M., & Williams, R. (2025), “Experimentology—An Open Science Approach to Experimental Psychology Methods,” The MIT Press, Cambridge (UK).
- Provost, F., & Fawcett, T. (2013), “Data Science for Business – What You Need to Know About Data Mining and Data-Analytic Thinking,” O'Reilly Media Inc.
- Tan, P-N et al. (2021), “Introduction to Data Mining,” 2nd edition, Pearson Educations.
- Berman, R., & Israeli, A. (2022), “The Value of Descriptive Analytics: Evidence from Online Retailers,” Marketing Science, 41(6), 1074-1096.
- Bradlow, E., Gangwar, M., Kopalle, P., & Voleti, S. (2017), “The Role of Big Data and Predictive Analytics in Retailing,” Journal of Retailing, 93(1), 79-95.
- George, G., Osinga, E., Lavie, D., & Scott, B. (2016), “Big Data and Data Science Methods for Management Research,” Academy of Management Journal, 59(5), 1493-1507.
- Gupta, S., Leszkiewicz, A., Kumar, V., Bijmolt, T., & Potapov, D. (2020), “Digital Analytics: Modeling for Insights and New Methods,” Journal of Interactive Marketing, 51, 26-43.
- Hickman, L., Huynh, C., Gass, J., Booth, B., Kuruzovich, J., & Tay, L. (2025), “Whither bias goes, I will go: An integrative, systematic review of algorithmic bias mitigation,” Journal of Applied Psychology, 110(7), 979–1000.
- Lobschat, L., Müller, B., Eggers, F., Brandimarte, L., Diefenbach, S., Kroschke, M. and Wirtz, J. (2021), “Corporate digital responsibility,” Journal of Business Research, 122, 875-888.
- Van Auken, S. (2015), “From Consumer Panels to Big Data: An Overview on Marketing Data Development,” Journal of Marketing Analytics, 3(1), 38-45.
- Villarroel Ordenes, F. and Silipo, R. (2021), “Machine Learning for Marketing on the KNIME Hub: The Development of a Live Repository for Marketing Applications,” Journal of Business Research, 137, 393-410
- Wedel, M., and Kannan, P.K. (2016), “Marketing Analytics for Data-Rich Environments,” Journal of Marketing, 80(6), 97-121
Faculté ou entité
en charge
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