Combining stock‐and‐flow, agent‐based, and social network methods to model team performance-Reference-Cited by-同舟云学术

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Combining stock‐and‐flow, agent‐based, and social network methods to model team performance

Published:2018-10 Issue:4 Volume:34 Page:527-574
ISSN:0883-7066
Container-title:System Dynamics Review
language:en
Short-container-title:Syst. Dyn. Rev.

Author:

Anderson Edward G.¹,Lewis Kyle²,Ozer Gorkem Turgut³

Affiliation:

1. McCombs School of BusinessUniversity of Texas, 1 University Station B6500 Austin TX 78733 U.S.A.

2. Technology Management ProgramCollege of Engineering, 1318 Phelps Hall, University of California Santa Barbara CA 93106‐5129 U.S.A.

3. Robert H. Smith School of BusinessUniversity of Maryland College Park MD 20742 U.S.A.

Publisher

Wiley

Subject

Management of Technology and Innovation,Strategy and Management,Social Sciences (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sdr.1613

Reference73 articles.

1. MK Ahuja KM Carley 1998

2. Demography and Design: Predictors of New Product Team Performance

3. A Dynamic Model of Individual and Collective Learning Amid Disruption

4. THE EFFECT OF LEARNING ON THE MAKE/BUY DECISION

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