Computational Modeling of Organizations Comes of Age
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DOI: 10.1023/B:CMOT.0000039166.53683.d0
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References listed on IDEAS
- Douglas B. Fridsma & Jan Thomsen, 1998. "Representing Medical Protocols for Organizational Simulation: An Information-Processing Approach," Computational and Mathematical Organization Theory, Springer, vol. 4(1), pages 71-95, March.
- Tim Carroll & Richard M. Burton, 2000. "Organizations and Complexity: Searching for the Edge of Chaos," Computational and Mathematical Organization Theory, Springer, vol. 6(4), pages 319-337, December.
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Cited by:
- Regine Pei Tze Oh & Susan M. Sanchez & Thomas W. Lucas & Hong Wan & Mark E. Nissen, 2009. "Efficient experimental design tools for exploring large simulation models," Computational and Mathematical Organization Theory, Springer, vol. 15(3), pages 237-257, September.
- Kent Wickstrøm Jensen & Dorthe Døjbak Håkonsson & Richard M. Burton & Børge Obel, 2010. "The effect of virtuality on the functioning of centralized versus decentralized structures—an information processing perspective," Computational and Mathematical Organization Theory, Springer, vol. 16(2), pages 144-170, June.
- Richard M. Burton & Børge Obel, 2011. "Computational Modeling for What-Is, What-Might-Be, and What-Should-Be Studies---And Triangulation," Organization Science, INFORMS, vol. 22(5), pages 1195-1202, October.
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Keywords
computational modeling and simulation; state-of-the-art; computational modeling in natural science; computational modeling in engineering; organizational engineering; synthetic experiments; validation; industrial application; Virtual Design Team;All these keywords.
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