Christoph Riedl

Assistant Professor of Supply Chain and Information Management with College of Computer and Information Science Joseph G. Riesman Research Professor at D'Amore-McKim School of Business


  • D'Amore-McKim School of Business




D'Amore-McKim School of Business



Ph.D. in Information Systems, Technische Universität München
M.Sc. in Information Systems, Technische Universität München
B.Sc. in Computer Science, Technische Universität München

Research & Teaching Interests

Professor Riedl holds interests in business analytics, data science, "Big Data," and computational social science. He is also attracted to decision making by experts (peer-review) and non-experts (collective intelligence), as well as social media and online social networks, individual and team productivity, and the web as a platform for service innovation.

Services to the Profession

Member Editorial Review Board for Academy of Management Discoveries.

Core faculty, Network Science Institute.

Core faculty, Center for Digital Humanities & Computational Social Science (NUlab)

Visiting Fellow, Institute for Quantitative Social Science (IQSS), Harvard University

Awards & Recognition

National Science Foundation Grant (2015).

Young Investigator Program Award (YIP).

DRUID Best Paper Award (2016)

Joseph G. Riesman Research Professorship (D’Amore-McKim School of Business, 2016-2018)

Post-Doctoral Fellowship of the German Research Foundation (DFG; 2011-2013).


Selected Publications

Blohm, I., Riedl, C., Füller, J., Leimeister, J. M. (2016). "Rate or Trade? Identifying Winning Ideas in Open Idea Sourcing," Information Systems Research, 27(1), 27-48.

Boudreau, K., Guinan, E., Lakhani, K., Riedl, C. (2016). "Looking Across and Looking Beyond the Knowledge Frontier: Intellectual Distance and Resource Allocation in Science," Management Science, 62(10), 2765-2783.

Riedl, C., Zanibbi, R., Hearst, M. A., Zhu, S., Menietti, M., Crusan, J., Metelsky, I., Lakhani, K. (2016). "Detecting Figures and Part Labels in Patents: Competition-Based Development of Image Processing Algorithms," International Journal on Document Analysis and Recognition, 19(2), 155-172.

Blohm, I., Krcmar, H., Leimeister, J. M., Riedl, C. (2013). "The Effect of Rating Scales on Decision Quality and User Attitudes in Online Innovation Communities," International Journal of Electronic Commerce (IJEC), 17(3), 7-36.

Riedl, C., Woolley, A. (2017). “Teams vs. Crowds: A Field Test of the Relative Contribution of Incentives, Member Ability, and Collaboration to Crowd-Based Problem Solving Performance,” Academy of Management Discoveries, in press.


Selected Presentations

"Social Network Processes in Collaborative Decision-Making," Conference on Opinion Dynamics, 13th June, 2016.

"Big Data and Financial Inclusion,” Rethinking Financial Inclusion, Harvard Kennedy School, Cambridge, MA, 19th April, 2016.

"Peer Production Networks, International Workshop on Network Theory,” Northwestern University, Evanston, 30th October, 2015.

"From Crowds to Collaborators: Self-Organization and Collaboration in Online Creative Teams”, Google Inc. (Human Computation Tech Talk, Mountain View, CA, 2014) and Facebook Inc. (Palo Alto, CA, 2014).

"Crowdsourcing for a Social Good: The Impact of Incentive Preferences on Consumers'' Creative Contributions to Social Innovation," NASA Center of Excellence for Collaborative Innovation, June 2014.


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