Associate Editor, Big Data and Business Analytics, Journal of Business Research
Christine Eckert received her PhD from Goethe University, Frankfurt am Main in 2008. She worked for several years at the University of Technology Sydney, Australia, and the EBS University of Business and Law, Oestrich-Winkel, Germany, before joining the TUM School of Management as Professor of Marketing Analytics in March 2025. She was a member of the Executive Committee of the Australian and New Zealand Marketing Academy (ANZMAC) and a member of the New Zealand Performance Based Research Fund Evaluation Panel. Christine is also an Adjunct Professor at UTS Business School, University of Technology Sydney, Associate Editor, Big Data and Business Analytics, at the Journal of Business Research, and a member of the Advisory Board of consumer advocacy group Super Consumers Australia.
Christine Eckert's primary research interest is in the field of quantitative modelling, with a particular focus on the behaviour of market participants, broadly defined. This interest has led to interdisciplinary collaborations with colleagues in finance, management, strategy and public policy. Her current work focuses on consumer financial decision making, technology-enabled service personalisation, and digital co-creation.
Key Publications
Carrillat, F. A., Mazodier, M., & Eckert, C. (2024). Why advertisers should embrace event typicality and maximize leveraging of major events. Journal of the Academy of Marketing Science, 52(6), 1585-1607.
Eckert, C., & Hohberger, J. (2023). Addressing endogeneity without instrumental variables: An evaluation of the gaussian copula approach for management research. Journal of Management, 49(4), 1460-1495.
Eckert, C., van Heerde, H. J., Wetzel, H. A., & Hattula, S. (2022). Spotlight personnel: how hiring and turnover drive service performance versus demand. Journal of Marketing Research, 59(4), 797-820.
Hoek, J., Gendall, P., Eckert, C., Louviere, J., Ling, P., & Popova, L. (2022). Analysis of on-pack messages for e-liquids: a discrete choice study. Tobacco Control, 31(4), 534-542.
Burke, P. F., Eckert, C., & Sethi, S. (2020). A multiattribute benefits-based choice model with multiple mediators: New insights for positioning. Journal of Marketing Research, 57(1), 35-54.
Agnew, J. R., Bateman, H., Eckert, C., Iskhakov, F., Louviere, J., & Thorp, S. (2018). First impressions matter: An experimental investigation of online financial advice. Management Science, 64(1), 288-307.
Bateman, H., Eckert, C., Geweke, J., Louviere, J., Satchell, S., & Thorp, S. (2016). Risk presentation and portfolio choice. Review of Finance, 20(1), 201-229.
