Short biography

Markus Weinmann is a Professor of Business Analytics and the Director of the Institute for Business AI at the University of Cologne. His research is at the intersection of business and technology, with a particular focus on how organizations use data and algorithms to make better decisions and create business value. He works on topics such as digital platforms, algorithmic decision-making, and behavioural analytics. His research has been published in leading academic journals, including Information Systems Research, Management Science, Marketing Science, and MIS Quarterly. He serves as an Associate Editor at MIS Quarterly.

He is the Academic Director of the Master’s programme in Business Analytics and Econometrics at the University of Cologne. He teaches courses on machine learning and statistics in business settings. In addition to his university teaching, he regularly leads executive education sessions on AI for Managers, helping decision-makers understand and apply AI in practice.

Markus has received several awards and honours, including a Marie Skłodowska-Curie Fellowship, the European Research Paper of the Year Award in Information Systems, and an invitation to the Lindau Nobel Laureate Meeting as a Young Economist.

He has worked at the Rotterdam School of Management (RSM) and held academic positions across institutions in Asia and Europe. He has lived and worked in Australia, Germany, Hong Kong, Liechtenstein, and the Netherlands. In addition to his academic roles, he regularly consults for companies on data-driven decision-making and the application of AI in business.

Research focuses

Digital Economy, Platform Economy, Digital Business, Business Analytics, Information Systems

Curriculum vitae

• Since 2021: Chaired Professor, Faculty of Management, Economics, and Social Sciences, University of Cologne, Cologne, Germany
• 2019 – 2021: Assistant Professor, Rotterdam School of Management, Erasmus University
• 2014 – 2019: Assistant Professor, University of Liechtenstein
• 2008 – 2013: Doctoral Student, Technical University of Braunschweig
• 2002 – 2008: Studies in Information Systems, University Erlangen- Nürnberg

Selected publications

• Bär, D., Feuerriegel, F., Ting, L., & Weinmann, M. (2023). Message framing to promote solar panels. Nature Communications, 14 (7187), 1-19.
• Weinmann, M., Mishra, A. N., Kaiser, L. F., vom Brocke, J. (2022). The attraction effect in crowdfunding. Information Systems Research, 34 (3), 1276-1296.
• Weinmann, M., Valacich, J.S., Schneider, C., Jenkins, J.L., & Hibbeln, M. (2022). The path of the righteous: Using trace data to understand fraud decisions in real time. MIS Quarterly, 46 (4), 2317–2336.
• Naumzik, C., Feuerriegel, S., & Weinmann, M. (2021). I will survive: Predicting business failures from customer ratings. Marketing Science, 41 (1), 188–207.
• Schneider, C., Weinmann, M., Mohr, P.N.C, & vom Brocke, J. (2020). When the stars shine too bright: The influence of multidimensional ratings on online consumer ratings. Management Science, 67 (6), 3321-3984.
• Hibbeln, M., Jenkins, J. L., Schneider, C. Valacich, J. S., & Weinmann, M. (2017). How is your user feeling? Inferring emotion through human-computer interaction devices. MIS Quarterly, 41 (1), 1–21.

Awards

• Since 2024 Associate Editor at MIS Quarterly
• 2020 High Performance Member, Erasmus Research Institute of Management (ERIM)
• 2020 Finalist, Young Talent Award (VHB)
• 2019 Winner, Best German Information-Systems Paper (VHB)
• 2018 Winner, European Research Paper of the Year (CIONET & AIS)
• 2017 Young Economist of the Lindau Nobel Laureate Meeting
• 2016 Marie-Curie Programme Fellow
• 2016 Winner, Liechtenstein Research Prize (Best Paper Award)
• 2012 Winner, McKinsey Business Technology Award (Best Paper Award)