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Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations

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  • Sung Jin Kim

    (Department of Technology and Society, College of Applied Science and Engineering, The State University of New York at Stony Brook, Stony Brook, New York, USA)

  • Nasir Jamil Sheikh

    (Department of Technology and Society, College of Applied Science and Engineering, The State University of New York at Stony Brook, Stony Brook, New York, USA2Department of Technology Management, School of Engineering, University of Bridgeport, Bridgeport, Connecticut, USA)

  • Gerald Stokes

    (Department of Technology and Society, College of Applied Science and Engineering, The State University of New York at Stony Brook, Stony Brook, New York, USA)

Abstract

Arms import decisions have a significant impact on certain nations. Priorities based on diverse policies are a major cause of conflict and dissent among policy decision makers and practitioners. This is because there are many competing qualitative and quantitative decision elements from varying perspectives. Hence, it has been difficult to compare them and rank their contributions to the final decision. Instead, a common approach has been to make decisions reacting to the situation at hand and on a case by case basis. Another approach is to use a rational decision model and expert judgments to assess arms import policies. For this, a hierarchical decision model (HDM) is used to identify the decision elements. Once a model framework is established many aspects of the results can be studied. In this research, a decision model based on technology, economics, politics, industry, and military (TEPIM) perspectives is developed for assessment of arms import policies. The case of the Republic of Korea is considered. The perspectives and their composite criteria are then ranked using the consensus of panels of experts and decision makers. An important aspect of expert judgment consensus is the management and analysis of disagreements. This study includes hierarchical cluster analyses and MANOVA of the disagreements between the decision makers and practitioners. We have confirmed that the stakeholder arms procurement organizations are guided by their organizational mission and this has an impact on their policy priorities and hence can result in disagreements.

Suggested Citation

  • Sung Jin Kim & Nasir Jamil Sheikh & Gerald Stokes, 2019. "Assessment of Arms Import Policies Using a Hierarchical Decision Model and Expert Judgments: Case Study of South Korean Arms Procurement Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-22, October.
    • Handle: RePEc:wsi:ijitmx:v:16:y:2019:i:06:n:s0219877019500457
    DOI: 10.1142/S0219877019500457
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    References listed on IDEAS

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    1. Celiktas, Melih Soner & Kocar, Gunnur, 2010. "From potential forecast to foresight of Turkey's renewable energy with Delphi approach," Energy, Elsevier, vol. 35(5), pages 1973-1980.
    2. Terrados, J. & Almonacid, G. & Pérez-Higueras, P., 2009. "Proposal for a combined methodology for renewable energy planning. Application to a Spanish region," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(8), pages 2022-2030, October.
    3. N. Gerdsri, 2007. "An Analytical Approach To Building A Technology Development Envelope (Tde) For Roadmapping Of Emerging Technologies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 4(02), pages 121-135.
    4. Chen, Hongyi & Kocaoglu, Dundar F., 2008. "A sensitivity analysis algorithm for hierarchical decision models," European Journal of Operational Research, Elsevier, vol. 185(1), pages 266-288, February.
    5. Wang, Bing & Kocaoglu, Dundar F. & Daim, Tugrul U. & Yang, Jiting, 2010. "A decision model for energy resource selection in China," Energy Policy, Elsevier, vol. 38(11), pages 7130-7141, November.
    Full references (including those not matched with items on IDEAS)

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