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Organizational architectures and mission requirements: A model to determine congruence

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  • Holly A. H. Handley
  • Alexander H. Levis

Abstract

In order to determine congruence between proposed organizational architectures and evolving mission requirements, an executable model was developed in support of a subject experiment testing the hypothesis that an organization congruent with an expected mission results in better performance than a noncongruent organization. The model is based on the task process, the sequence of stages that occur in order to complete a task, where the delays of each stage are based on the interactions of the task with decision‐makers and resources; in this case, tasks are limited to simple tasks completed by a single decision‐maker with a single resource. The model is configured to a particular organizational design and simulated with a scenario, a list of tasks and their parameters that characterize the mission. Congruence is determined by using regression analysis to fit a linear equation to the output of the simulation and computing the coefficient of determination to evaluate the fit. The model was developed with trial experiment data and validated with post‐experimental results. This model provides the foundation for a future, second order model that will include multiple decision‐makers interacting with multiple resources to complete complex tasks. © 2003 Wiley Periodicals, Inc. Sys Eng 6: 184–194, 2003

Suggested Citation

  • Holly A. H. Handley & Alexander H. Levis, 2003. "Organizational architectures and mission requirements: A model to determine congruence," Systems Engineering, John Wiley & Sons, vol. 6(3), pages 184-194.
    • Handle: RePEc:wly:syseng:v:6:y:2003:i:3:p:184-194
    DOI: 10.1002/sys.10045
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    References listed on IDEAS

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    1. David Newbern & Jerry Nolte, 1999. "Engineering of complex systems: Understanding the art side," Systems Engineering, John Wiley & Sons, vol. 2(3), pages 181-186.
    2. Alexander H. Levis & W.S. Vaughan, 1999. "Model driven experimentation," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 62-68.
    3. Tyson R. Browning, 2002. "Process integration using the design structure matrix," Systems Engineering, John Wiley & Sons, vol. 5(3), pages 180-193.
    4. Kathleen M. Carley, 1999. "On generating hypotheses using computer simulations," Systems Engineering, John Wiley & Sons, vol. 2(2), pages 69-77.
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