How to get the timing right. A computational model of the effects of the timing of contacts on team cohesion in demographically diverse teams
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DOI: 10.1007/s10588-008-9019-1
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Cited by:
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- Tanzhe Tang & Amineh Ghorbani & Flaminio Squazzoni & Caspar G. Chorus, 2022. "Together alone: a group-based polarization measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3587-3619, October.
- Weimer, Christopher W. & Miller, J.O. & Hill, Raymond R. & Hodson, Douglas D., 2022. "An opinion dynamics model of meta-contrast with continuous social influence forces," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 589(C).
- Elshandidy, Tamer & Bamber, Matthew & Omara, Hossam, 2024. "Across the faultlines: A multi-dimensional index to measure and assess board diversity," International Review of Financial Analysis, Elsevier, vol. 93(C).
- Jianjun Lu & Shozo Tokinaga, 2013. "Analysis of cluster formations on planer cells based on genetic programming," Computational and Mathematical Organization Theory, Springer, vol. 19(4), pages 426-445, December.
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Keywords
Demographic faultline; Computational modeling; Teams; Demographic diversity; Homophily; Social influence;All these keywords.
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