ZAGGL
ZAGGL Michael
Doctorat français
Michael Zaggl is a Full Professor at NEOMA Business School. He received his Habilitation degree from Technical University of Munich, a PhD from Technical University of Hamburg, and his Master’s and Bachelor’s degrees from the University of Koblenz. Before joining NEOMA, Dr. Zaggl held a tenured position at Aarhus University in Denmark. He also held several visiting positions, among others, at Harvard University, Purdue, University of Southern California, and University of Göttingen. His research interests include distributed and digital innovation, crowdsourcing, technologically-enabled strategic search, and data-driven decision-making. His work has been published in Academy of Management Discoveries, Research Policy, and Strategic Management Journal, among others. He is a member of the Academy of Management, Association for Information Systems, and Deutscher Hochschulverband. Dr. Zaggl has worked extensively with organizations, managers, and consultants, both in the U.S. and in Europe.
SCHWEISFURTH, T. G., C. P. SCHÖTTL, C. RAASCH, M. ZAGGL, "Distributed decision‐making in the shadow of hierarchy: How hierarchical similarity biases idea evaluation", Strategic Management Journal, Septembre 2023, vol. 44, no. 9, pp. 2255-2282
10.1002/smj.3497
LEE, J. "., H. PARK, M. ZAGGL, "When to Signal? Contingencies for Career-Motivated Contributions in Online Collaboration Communities", Journal of the Association for Information Systems, Janvier 2022, vol. 23, no. 6, pp. 1386-1419
10.17705/1jais.00765
ZAGGL, M., J. POTTBÄCKER, "Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology", Research Policy, Novembre 2021, vol. 50, no. 9, pp. 104313
10.1016/j.respol.2021.104313
ZAGGL, M., "The Experimenting Firm: Data-Driven Decision-Making Under Bounded Rationality" dans 83rd Academy of Management, 2023, Boston, États-Unis
ZAGGL, M., M. TWYMAN, Y. YANG, N. MUTHA, A. MAJCHRZAK, "The Data Science Gender Gap: Investigating Progression Rates in the Kaggle Online Community" dans 83rd Academy of Management, 2023, Boston, États-Unis
ZAGGL, M., M. WURZER, K. KLYVER, C. BERGENHOLTZ, "External Venture Idea Evaluation and Venture Idea Revisions? The Role of Opportunity Confidence" dans 83rd Academy of Management, 2023, Boston, États-Unis
FREDERIKSEN, L., M. RIVATO, M. ZAGGL, "Crowdfunding for Science: Knowledge Production and Career Trajectories of Individuals Seeking Crowdfunding for Their Research" dans DRUID, 2023
ZAGGL, M., M. RIVATO, "Status versus Reputation as Motivation in Online Communities" dans 56th Hawaii International Conference on System Sciences (HICSS), 2022
ZAGGL, M., A. MAJCHRZAK, J. GIBBS, P. MORE, "Does Member Familiarity in Innovation Task Forces Help or Hinder Sustainable Innovation? The Roles of Expertise vs Dialogic Coordination" dans 82nd Academy of Management, 2022, Seattle, États-Unis
ZAGGL, M., J. GIBBS, L. GILSON, T. GRIFFITH, T. MAYNARD, ET AL., "Understanding Virtual Work, PDW" dans 82nd Academy of Management, 2022, Seattle, États-Unis
ZAGGL, M., J. RAFNER, C. BANTLE, D. DELLERMANN, M. SÖLLNER, J. SHERSON, "Towards Hybrid Intelligence Workflows: Integrating Interface Design and Scalable deployment" dans Hybrid Human Artificial Intelligence (HHAI), 2022, Amsterdam, Pays-Bas
PALMER, S., A. FAGE-BUTLER, M. ZAGGL, "Explainability and Trust-Related Biases" dans Building Appropriate Trust in Human-AI Interactions, 2022, Coimbra, Portugal
ZAGGL, M., M. RIVATO, L. FREDERIKSEN, "Crowdfunding of Science: Career Trajectories and Performance of Individuals Seeking Crowdfunding Funding for Their Research Projects" dans Open Innovation in Science (OIS) Research Conference, 2022, Genève, Suisse
ZAGGL, M., "The Perceptual Firm: On the Effectiveness of Business Experiments for Creating Business Value" dans Jubiläumstagung des Verbands der Hochschullehrer für Betriebswirtschaft, 2022, Düsseldorf (virtual), Allemagne
ZAGGL, M., "When to Signal? The Contextual Conditions for Career-Motivated User Contributions in Online Collaboration Communities" dans 54th Hawaii International Conference on System Sciences (HICSS), 2021
ZAGGL, M., Y. SUN, A. MAJCHRZAK, A. MALHOTRA, "Integrative Solutions in Online Crowdsourcing Innovation Challenges" dans 54th Hawaii International Conference on System Sciences (HICSS), 2021
ZAGGL, M., "How Business Experiments Create Business Value" dans Conference on Artificial Intelligence, Machine Learning, and Business Analytics, 2021, Philadelphia (virtual conference)
ZAGGL, M., M. WURZER, C. BERGENHOLTZ, K. NYGAARD, "Opportunity confidence and idea revision effort" dans Babson College Entrepreneurship Research Conference, 2021
ZAGGL, M., J. WISSEL, A. LINDBERG, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities." dans 52nd Hawaii International Conference on System Sciences (HICSS), 2020
ZAGGL, M., M. MUELLER, "Why Can't You See What I Can? Reputation Allocation for Solitary Innovators and Fluid Teams" dans 80th Academy of Management, 2020, Vancouver(virtual conference), Canada
WISSEL, J., M. ZAGGL, A. LINDBERG, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities" dans Proceedings of the 40th International Conference on Information Systems, 2019
ZAGGL, M., J. WISSEL, F. NAGLE, "Open Source Software Development and Organizations" dans 79th Academy of Management -Selected as Showcase Symposium, 2019, Boston, États-Unis
ZAGGL, M., J. WISSEL, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities" dans 17th Open and User Innovation Conference, 2019, Utrecht University School of Economics, Pays-Bas
ZAGGL, M., "Opportunity Selection in Self-Managing Organizations: The Limits of Crowds" dans Proceedings of the 39th International Conference on Information Systems, 2018
ZAGGL, M., T. G. SCHWEISFURTH, C. P. SCHÖTTL, C. RAASCH, "Hierarchical Distance and Idea Evaluation in Enterprise Crowdfunding" dans Proceedings of the 39th International Conference on Information Systems, 2018
ZAGGL, M., A. MAJCHRZAK, "Principles on how to manage interactions between human workers and artificial intelligence/machine learning technologies" dans Handbook of Virtual Work., Lucy Gilson, Thomas O’Neill, M. Maynard Eds, Edward Elgar Publishing, pp. 89-108, 2023
DOI : 10.4337/9781802200508.00012
FREDERIKSEN, L., P. SMITH, C. BERGENHOLTZ, S. HILBOLLING, M. BERETTA, O. VUCULESCU, M. ZAGGL, H. ALSTED SØNDERGAARD, "Extending the use of Crowds for Innovation? Fund it Yourself!" dans The Oxford Handbook of Open Innovation., Henry Chesbrough, Agnieszka Radziwon, Wim Vanhaverbeke, Joel West Eds, Oxford University Press, pp. 357-370, 2023
DOI : 10.1093/oxfordhb/9780192899798.013.21
HAGENMAIER, M. A., S. PREISSNER, C. RAASCH, M. ZAGGL, "Die Integration des Kunden in den Innovationsprozess: Eine Untersuchung zu Mass Customization von Produkt- Service Systemen" dans Innovationsprozesse zyklenorientiert managen - Verzahnte Entwicklung von Produkt-Service Systemen., B. Vogel-Heuser, U. Lindemann, G. Reinhart Eds, Springer Verlag, pp. 207–219, 2015
PREISSNER, S., C. RAASCH, M. ZAGGL, "Nutzer und Hersteller im Lebenszyklus disruptiver Produkt- und Service Innovationen" dans Innovationsprozesse Zyklenorientiert Managen., B. Vogel-Heuser, U. Lindemann and G. Reinhart Eds, Springer Verlag, pp. 220-230, 2015
WALDKIRCH, R. W., M. MEYER, M. ZAGGL, "Beyond Publication Counts – The Impact of Citations and Combined Metrics on the Performance Measurement of German Business Researchers" dans Performance Management im Hochschulbereich., Alexander Dilger, Harald Dyckhoff, Günter Fandel Eds, Springer Fachmedien Wiesbaden, pp. 61-86, 2013
DOI : 10.1007/978-3-658-03348-4_4
ZAGGL, M., A. MALHOTRA, O. ALEXY, A. MAJCHRZAK, "Maximize the Wisdom of the Crowd for Complex Problems", MIT Sloan Management Review, Eté 2025
BLOCK, J., C. BRANDSTETTER , M. ZAGGL, "Maker motives and entrepreneurial opportunity evaluation in academic makerspaces", Small Business Economics, Avril 2025
DOI : 10.1007/s11187-025-01018-1
TSIROZIDIS, G., U. B. KIRK, M. ZAGGL, "Benefits for thee, not for me? mHealth engagement through the lens of privacy calculus theory and trust", Behavior and Information Technology, Avril 2025, pp. 1-21
DOI : 10.1080/0144929X.2025.2485395
DUEHOLM MÜLLER , S., M. ZAGGL, R. SVANGAARD , A. JAKOBSEN, "Digital Transformation Toward Data-Driven Decision-Making: Theorizing Action Strategies in Response to Transformation Challenges", Communications of the Association for Information Systems, Juin 2025, vol. 56, pp. 961-999
DOI : 10.17705/1CAIS.05637
ZAGGL, M., "How Artifact-Based and Authority-Based Coordination Affect Propagation Costs in Open Source Software Development", MIS Quarterly, Mai 2025
ZAGGL, M., J. BLOCK, J. WISSEL, "Certification of Open Source Software Compliance: Insights From a Conjoint Experiment", Information Systems Journal, Août 2025
DOI : 10.1111/isj.70014
ZAGGL, M., M. LINZMAJER, G. WALSH, R. REINHARDT, J. POTTBÄCKER, "Success of mass customization toolkits: Product design typicality as boundary condition", Journal of Business Research, Novembre 2025, vol. 200, pp. 115669
DOI : 10.1016/j.jbusres.2025.115669
JOERGENSEN , P., M. ZAGGL, "The Role of Data Science and Data Analytics for Innovation: A Literature Review", Journal of Business Analytics, Juin 2024, vol. 7, no. 4, pp. 207-223
ZAGGL, M., M. MUELLER, "Creativity reputation allocation in open and distributed innovation", Technovation, Décembre 2024, vol. 138
DOI : 10.1016/j.technovation.2024.103117
SCHWEISFURTH, T. G., C. P. SCHÖTTL, C. RAASCH, M. ZAGGL, "Distributed decision‐making in the shadow of hierarchy: How hierarchical similarity biases idea evaluation", Strategic Management Journal, Septembre 2023, vol. 44, no. 9, pp. 2255-2282
DOI : 10.1002/smj.3497
ZAGGL, M., A. ARVIND MALHOTRA, O. ALEXY, A. MAJCHRZAK, "Governing Crowdsourcing for Unconstrained Innovation Problems", Strategic Management Journal, Novembre 2023, vol. 44, no. 11, pp. 2783-2817
LEE, J. "., H. PARK, M. ZAGGL, "When to Signal? Contingencies for Career-Motivated Contributions in Online Collaboration Communities", Journal of the Association for Information Systems, Janvier 2022, vol. 23, no. 6, pp. 1386-1419
DOI : 10.17705/1jais.00765
ZAGGL, M., J. POTTBÄCKER, "Facilitators and inhibitors for integrating expertise diversity in innovation teams: The case of plasmid exchange in molecular biology", Research Policy, Novembre 2021, vol. 50, no. 9, pp. 104313
DOI : 10.1016/j.respol.2021.104313
MAJCHRZAK, A., A. MALHOTRA, M. ZAGGL, "How Open Crowds Self-Organize", Academy of Management Discoveries, Mars 2021, vol. 7, no. 1, pp. 104-129
DOI : 10.5465/amd.2018.0087
ZAGGL, M., T. G. SCHWEISFURTH, C. HERSTATT, "The Dynamics of Openness and the Role of User Communities: A Case Study in the Ecosystem of Open Source Gaming Handhelds", IEEE Transactions on Engineering Management, Août 2020, vol. 67, no. 3, pp. 712-723
DOI : 10.1109/TEM.2019.2897900
ZAGGL, M., J. BLOCK, "Do small funding amounts lead to reverse herding? A field experiment in reward-based crowdfunding", Journal of Business Venturing Insights, Novembre 2019, vol. 12, pp. e00139
DOI : 10.1016/j.jbvi.2019.e00139
ZAGGL, M., M. A. HAGENMAIER, C. RAASCH, "The choice between uniqueness and conformity in mass customization", R and D Management, Mars 2019, vol. 49, no. 2, pp. 204-221
DOI : 10.1111/radm.12327
ZAGGL, M., "Manipulation of explicit reputation in innovation and knowledge exchange communities: The example of referencing in science", Research Policy, Juin 2017, vol. 46, no. 5, pp. 970-983
DOI : 10.1016/j.respol.2017.02.009
GREITEMANN, J., M. ZAGGL, M. HEHL, C. RAASCH, G. REINHART, "Technology lifecycle-oriented search for production technologies", CIRP Journal of Manufacturing Science and Technology, Janvier 2017, vol. 16, pp. 21-33
DOI : 10.1016/j.cirpj.2016.08.001
ZAGGL, M., "Eleven mechanisms for the evolution of cooperation", Journal of Institutional Economics, Juin 2014, vol. 10, no. 2, pp. 197-230
DOI : 10.1017/S1744137413000374
ZAGGL, M., "Relative Performance Measurement of Researchers: The High Impact of Data Source Selection", Management@TUHH Research Paper Series , Janvier 2011, no. 5
MEYER, M., M. ZAGGL, K. M. CARLEY, "Measuring CMOT’s intellectual structure and its development", Computational & Mathematical Organization Theory, Mars 2011, vol. 17, no. 1, pp. 1-34
DOI : 10.1007/s10588-010-9076-0