ZAGGL

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ZAGGL Michael

Michael Zaggl est Professeur à la NEOMA Business School. Il est titulaire d'une habilitation de l'Université technique de Munich, d'un doctorat de l'Université technique de Hambourg, d'une maîtrise et d'une licence de l'Université de Coblence. Avant de rejoindre NEOMA, M. Zaggl était titulaire d'un poste à l'Université d'Aarhus au Danemark. Il a également occupé plusieurs postes d'invité, notamment à l'Université de Harvard, à Purdue, à l'Université de Californie du Sud et à l'Université de Göttingen. Ses recherches portent sur l'innovation distribuée et numérique, le crowdsourcing, la recherche stratégique assistée par la technologie et la prise de décision fondée sur les données. Ses travaux ont été publiés dans Academy of Management Discoveries, Research Policy et Strategic Management Journal, entre autres. Il est membre de l'Academy of Management, de l'Association for Information Systems et du Deutscher Hochschulverband. M. Zaggl a beaucoup travaillé avec des organisations, des gestionnaires et des consultants, tant aux États-Unis qu'en 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, September 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, January 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, November 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" in 83rd Academy of Management, 2023, Boston, United States
ZAGGL, M., M. TWYMAN, Y. YANG, N. MUTHA, A. MAJCHRZAK, "The Data Science Gender Gap: Investigating Progression Rates in the Kaggle Online Community" in 83rd Academy of Management, 2023, Boston, United States
ZAGGL, M., M. WURZER, K. KLYVER, C. BERGENHOLTZ, "External Venture Idea Evaluation and Venture Idea Revisions? The Role of Opportunity Confidence" in 83rd Academy of Management, 2023, Boston, United States
FREDERIKSEN, L., M. RIVATO, M. ZAGGL, "Crowdfunding for Science: Knowledge Production and Career Trajectories of Individuals Seeking Crowdfunding for Their Research" in DRUID, 2023
ZAGGL, M., M. RIVATO, "Status versus Reputation as Motivation in Online Communities" in 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" in 82nd Academy of Management, 2022, Seattle, United States
ZAGGL, M., J. GIBBS, L. GILSON, T. GRIFFITH, T. MAYNARD, ET AL., "Understanding Virtual Work, PDW" in 82nd Academy of Management, 2022, Seattle, United States
ZAGGL, M., J. RAFNER, C. BANTLE, D. DELLERMANN, M. SÖLLNER, J. SHERSON, "Towards Hybrid Intelligence Workflows: Integrating Interface Design and Scalable deployment" in Hybrid Human Artificial Intelligence (HHAI), 2022, Amsterdam, Netherlands
PALMER, S., A. FAGE-BUTLER, M. ZAGGL, "Explainability and Trust-Related Biases" in 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" in Open Innovation in Science (OIS) Research Conference, 2022, Genève, Switzerland
ZAGGL, M., "The Perceptual Firm: On the Effectiveness of Business Experiments for Creating Business Value" in Jubiläumstagung des Verbands der Hochschullehrer für Betriebswirtschaft, 2022, Düsseldorf (virtual), Germany
ZAGGL, M., "When to Signal? The Contextual Conditions for Career-Motivated User Contributions in Online Collaboration Communities" in 54th Hawaii International Conference on System Sciences (HICSS), 2021
ZAGGL, M., Y. SUN, A. MAJCHRZAK, A. MALHOTRA, "Integrative Solutions in Online Crowdsourcing Innovation Challenges" in 54th Hawaii International Conference on System Sciences (HICSS), 2021
ZAGGL, M., "How Business Experiments Create Business Value" in 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" in 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." in 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" in 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" in Proceedings of the 40th International Conference on Information Systems, 2019
ZAGGL, M., J. WISSEL, F. NAGLE, "Open Source Software Development and Organizations" in 79th Academy of Management -Selected as Showcase Symposium, 2019, Boston, United States
ZAGGL, M., J. WISSEL, "Control vs Freedom: How Companies Manage Knowledge Sharing with Open Source Software Communities" in 17th Open and User Innovation Conference, 2019, Utrecht University School of Economics, Netherlands
ZAGGL, M., "Opportunity Selection in Self-Managing Organizations: The Limits of Crowds" in 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" in 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" in 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!" in 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" in 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" in 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" in 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, Summer 2025
BLOCK, J., C. BRANDSTETTER , M. ZAGGL, "Maker motives and entrepreneurial opportunity evaluation in academic makerspaces", Small Business Economics, April 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, April 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, June 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, May 2025
ZAGGL, M., J. BLOCK, J. WISSEL, "Certification of Open Source Software Compliance: Insights From a Conjoint Experiment", Information Systems Journal, August 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, November 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, June 2024, vol. 7, no. 4, pp. 207-223
ZAGGL, M., M. MUELLER, "Creativity reputation allocation in open and distributed innovation", Technovation, December 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, September 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, November 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, January 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, November 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, March 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, August 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, November 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, March 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, June 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, January 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, June 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 , January 2011, no. 5
MEYER, M., M. ZAGGL, K. M. CARLEY, "Measuring CMOT’s intellectual structure and its development", Computational & Mathematical Organization Theory, March 2011, vol. 17, no. 1, pp. 1-34 DOI : 10.1007/s10588-010-9076-0