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A Trajectory for Validating Computational Emulation Models of Organizations

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Listed:
  • Jan Thomsen

    (Stanford University)

  • Raymond E. Levitt

    (Stanford University)

  • John C. Kunz

    (Stanford University)

  • Clifford I. Nass

    (Stanford University)

  • Douglas B. Fridsma

    (Stanford University)

Abstract

Validation of complex simulation models is a challenging problem in computational organization theory research. In this paper, we describe a validation strategy suitable for emulation simulation systems, and show how a comprehensive validation consists of a sequence of steps that evaluate different aspects of a computational organizational simulation model. We demonstrate how this strategy can be applied to the evaluation of the Virtual Team Alliance (VTA), an emulation simulation system designed to guide managers charged with organizational change. VTA required a &201C;trajectory&201D; of successive validation experiments, before managers where willing to follow the recommendations of VTA. Ultimately, we believe this validation approach can be applied to a wide range of different simulation systems, and will make identification of the strengths and weaknesses of organizational simulations easier.

Suggested Citation

  • Jan Thomsen & Raymond E. Levitt & John C. Kunz & Clifford I. Nass & Douglas B. Fridsma, 1999. "A Trajectory for Validating Computational Emulation Models of Organizations," Computational and Mathematical Organization Theory, Springer, vol. 5(4), pages 385-401, December.
    • Handle: RePEc:spr:comaot:v:5:y:1999:i:4:d:10.1023_a:1009624719571
    DOI: 10.1023/A:1009624719571
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    References listed on IDEAS

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    1. John B. Davis & D. W. Hands & Uskali Mäki (ed.), 1998. "The Handbook of Economic Methodology," Books, Edward Elgar Publishing, number 741, March.
    2. Herbert A. Simon, 1996. "The Sciences of the Artificial, 3rd Edition," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262691914, December.
    3. George B. Kleindorfer & Liam O'Neill & Ram Ganeshan, 1998. "Validation in Simulation: Various Positions in the Philosophy of Science," Management Science, INFORMS, vol. 44(8), pages 1087-1099, August.
    4. Kathleen M. Carley & Zhiang Lin, 1997. "A Theoretical Study of Organizational Performance Under Information Distortion," Management Science, INFORMS, vol. 43(7), pages 976-997, July.
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    Cited by:

    1. Nadia Bhuiyan & Donald Gerwin & Vince Thomson, 2004. "Simulation of the New Product Development Process for Performance Improvement," Management Science, INFORMS, vol. 50(12), pages 1690-1703, December.
    2. Ronald E. Giachetti & Veronica Marcelli & José Cifuentes & José A. Rojas, 2013. "An agent‐based simulation model of human‐robot team performance in military environments," Systems Engineering, John Wiley & Sons, vol. 16(1), pages 15-28, March.

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