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Magnus van Haaren
PhD Candidate
Rotterdam School of Management (RSM)
Erasmus University Rotterdam

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Profile

Magnus van Haaren, a PhD Candidate at the Rotterdam School of Management, Erasmus University, is actively engaged in examining the profound influence of emerging technologies, notably blockchain-based decentralized autonomous organizations (DAOs) and artificial intelligence (AI), on individual participation and the structure of networks within organizations. His academic pursuit is segmented into three synergistic studies: the conceptualization of a forward-looking theory on emerging technologies; an exploration of the ties between individual participation and decision-making outcomes in DAOs; and a detailed analysis of the impacts of AI on the dynamics of interpersonal network structures. At the intersection of these explorations, Magnus' work navigates the uncharted territories of how rapidly advancing technologies reshape organizational and managerial practices, offering invaluable insights to the ongoing adaptation efforts in our swiftly transforming technological epoch.

 

 

 

Publications

Academic (4)
  • van Haaren, M., & Klapper, H. (2025). Decentralized Autonomous Organizations: Can Decision Structures Enhance Participation?. https://hdl.handle.net/10125/109402

  • van Haaren, M., Lin, X., Santana, C., Baumann, O., Gregory, R. W., Halaburda, H., He, F., Murray, A. M., & Troebinger, M. (2024). Humans and Algorithms in Organizations: Navigating the Intersection of Blockchain and AI. 84th Annual Meeting of the Academy of Management, AOM 2024, Chicago, United States. https://doi.org/10.5465/AMPROC.2024.18670symposium

  • van Haaren, M. (2024). Reducing the Impact of Misalignment: Decentralized Decision-Making Structures. https://doi.org/10.5465/AMPROC.2024.18879abstract

  • van Haaren, M., Lin, X., Wang, W., Bernstein, E., Halaburda, H., Hsieh, Y.-Y., Murray, A., Pereira, J., & Vergne, J. (Accepted/In press). Web3 Decentralization: Blockchain Technologies' Impact on Modern Organizational Governance. The 83rd Annual Meeting of the Academy of Management. https://doi.org/10.5465/AMPROC.2023.17556symposium