Can tools help unify organization theory? Perspectives on the state of computational modeling
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DOI: 10.1007/s10588-006-9000-9
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Cited by:
- Lucio Biggiero & Enrico Sevi, 2009. "Opportunism by cheating and its effects on industry profitability. The CIOPS model," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 191-236, September.
- Matthias Meyer & Michael A. Zaggl & Kathleen M. Carley, 2011. "Measuring CMOT’s intellectual structure and its development," Computational and Mathematical Organization Theory, Springer, vol. 17(1), pages 1-34, March.
- Mark Hoogendoorn & Catholijn M. Jonker & Jan Treur, 2011. "A generic architecture for redesign of organizations triggered by changing environmental circumstances," Computational and Mathematical Organization Theory, Springer, vol. 17(2), pages 119-151, May.
- Kalloniatis, Alexander C. & McLennan-Smith, Timothy A. & Roberts, Dale O., 2020. "Modelling distributed decision-making in Command and Control using stochastic network synchronisation," European Journal of Operational Research, Elsevier, vol. 284(2), pages 588-603.
- Jahangirian, Mohsen & Eldabi, Tillal & Naseer, Aisha & Stergioulas, Lampros K. & Young, Terry, 2010. "Simulation in manufacturing and business: A review," European Journal of Operational Research, Elsevier, vol. 203(1), pages 1-13, May.
- Christos Ellinas & Christos Nicolaides & Naoki Masuda, 2022. "Mitigation strategies against cascading failures within a project activity network," Journal of Computational Social Science, Springer, vol. 5(1), pages 383-400, May.
- Brian W. Kulik & Timothy Baker, 2008. "Putting the organization back into computational organization theory: a complex Perrowian model of organizational action," Computational and Mathematical Organization Theory, Springer, vol. 14(2), pages 84-119, June.
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Keywords
Computational organizational theory; Agent-based simulation; Dynamic network analysis; Organizational behavior;All these keywords.
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