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A System‐of‐Systems Perspective for Public Policy Decisions

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  • Dan DeLaurentis
  • Robert K. “CAB” Callaway

Abstract

Problems of increasing complexity are facing decision makers within government and industry, and the key characteristic of these problems is that they are of system‐of‐systems type. With multiple, heterogeneous, distributed systems involved (including policies and economies as well as technologies), effective analysis for decision‐support quickly becomes unmanageable within the “stovepipe” context that still characterizes many organizations in the research and development community. There is not a process/field of study in place that can enable us to systematically solve these types of problems, exemplified by the Next Generation Transportation System. While indeed numerous tools are available to help, they cannot be used effectively because the people who build and understand the tools all speak different languages. Much confusion still remains about words and phrases for system‐of‐systems type problems, let alone the best modeling approaches for dealing with them. While pockets of organizational restructuring may address this challenge for particular projects, there is a lack of systematic thinking at the basic level about how to address the challenges. This paper recommends that intellectual, financial, and institutional resources be invested for the purpose of initiating and nurturing a field of study that will enable us to better address this important type of problem. The future of transportation serves as a motivating example of a multidomain, system‐of‐systems problem of critical importance to the nation and in need of effective decision‐support. The analogy of creating better maps and “navigation aids” for decision makers will be employed, emphasizing that, when navigating a minefield, knowing where not to go is the key factor in successfully traversing the terrain (i.e., making wise decisions).

Suggested Citation

  • Dan DeLaurentis & Robert K. “CAB” Callaway, 2004. "A System‐of‐Systems Perspective for Public Policy Decisions," Review of Policy Research, Policy Studies Organization, vol. 21(6), pages 829-837, November.
  • Handle: RePEc:bla:revpol:v:21:y:2004:i:6:p:829-837
    DOI: 10.1111/j.1541-1338.2004.00111.x
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    Cited by:

    1. Phillis, Yannis A. & Kouikoglou, Vassilis S., 2012. "System-of-Systems hierarchy of biodiversity conservation problems," Ecological Modelling, Elsevier, vol. 235, pages 36-48.
    2. Heymans, Catherine & Walker, Sean B. & Young, Steven B. & Fowler, Michael, 2014. "Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling," Energy Policy, Elsevier, vol. 71(C), pages 22-30.
    3. Cabrera, Derek & Cabrera, Laura & Powers, Erin & Solin, Jeremy & Kushner, Jennifer, 2018. "Applying systems thinking models of organizational design and change in community operational research," European Journal of Operational Research, Elsevier, vol. 268(3), pages 932-945.
    4. Auping, Willem L. & Pruyt, Erik & de Jong, Sijbren & Kwakkel, Jan H., 2016. "The geopolitical impact of the shale revolution: Exploring consequences on energy prices and rentier states," Energy Policy, Elsevier, vol. 98(C), pages 390-399.
    5. Berjawi, A.E.H. & Walker, S.L. & Patsios, C. & Hosseini, S.H.R., 2021. "An evaluation framework for future integrated energy systems: A whole energy systems approach," Renewable and Sustainable Energy Reviews, Elsevier, vol. 145(C).
    6. Dinçer Konur & Hadi Farhangi & Cihan H. Dagli, 2016. "A multi-objective military system of systems architecting problem with inflexible and flexible systems: formulation and solution methods," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 967-1006, October.

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