IDEAS home Printed from https://ideas.repec.org/a/wsi/ijitmx/v16y2019i06ns0219877019500457.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S0219877019500457
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S0219877019500457?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Qianna Wang & Martin Mwirigi M'Ikiugu & Isami Kinoshita, 2014. "A GIS-Based Approach in Support of Spatial Planning for Renewable Energy: A Case Study of Fukushima, Japan," Sustainability, MDPI, vol. 6(4), pages 1-31, April.
    2. Prasad, Ravita D. & Bansal, R.C. & Raturi, Atul, 2014. "Multi-faceted energy planning: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 38(C), pages 686-699.
    3. Daim, Tugrul U. & Yoon, Byung-Sung & Lindenberg, John & Grizzi, Robert & Estep, Judith & Oliver, Terry, 2018. "Strategic roadmapping of robotics technologies for the power industry: A multicriteria technology assessment," Technological Forecasting and Social Change, Elsevier, vol. 131(C), pages 49-66.
    4. Lavoie, Joao Ricardo & Daim, Tugrul, 2020. "Towards the assessment of technology transfer capabilities: An action research-enhanced HDM model," Technology in Society, Elsevier, vol. 60(C).
    5. Haddad, Brahim & Liazid, Abdelkrim & Ferreira, Paula, 2017. "A multi-criteria approach to rank renewables for the Algerian electricity system," Renewable Energy, Elsevier, vol. 107(C), pages 462-472.
    6. Gibson, Elizabeth & Daim, Tugrul U. & Dabic, Marina, 2019. "Evaluating university industry collaborative research centers," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 181-202.
    7. Stanislav Shmelev & Harrison Roger Brook, 2021. "Macro Sustainability across Countries: Key Sector Environmentally Extended Input-Output Analysis," Sustainability, MDPI, vol. 13(21), pages 1-46, October.
    8. Rafael Lizarralde & Jaione Ganzarain & Mikel Zubizarreta, 2020. "Assessment and Selection of Technologies for the Sustainable Development of an R&D Center," Sustainability, MDPI, vol. 12(23), pages 1-23, December.
    9. de Alcantara, Douglas Pedro & Martens, Mauro Luiz, 2019. "Technology Roadmapping (TRM): a systematic review of the literature focusing on models," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 127-138.
    10. Alev Taskin Gumus & A. Yesim Yayla & Erkan Çelik & Aytac Yildiz, 2013. "A Combined Fuzzy-AHP and Fuzzy-GRA Methodology for Hydrogen Energy Storage Method Selection in Turkey," Energies, MDPI, vol. 6(6), pages 1-16, June.
    11. Ifaei, Pouya & Tayerani Charmchi, Amir Saman & Loy-Benitez, Jorge & Yang, Rebecca Jing & Yoo, ChangKyoo, 2022. "A data-driven analytical roadmap to a sustainable 2030 in South Korea based on optimal renewable microgrids," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    12. Karunathilake, Hirushie & Hewage, Kasun & Mérida, Walter & Sadiq, Rehan, 2019. "Renewable energy selection for net-zero energy communities: Life cycle based decision making under uncertainty," Renewable Energy, Elsevier, vol. 130(C), pages 558-573.
    13. Azadeh, A. & Babazadeh, R. & Asadzadeh, S.M., 2013. "Optimum estimation and forecasting of renewable energy consumption by artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 605-612.
    14. Emel Yontar & Onur Derse, 2023. "Evaluation of sustainable energy action plan strategies with a SWOT/TWOS-based AHP/ANP approach: a case study," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5691-5715, June.
    15. Rivero-Iglesias, Jose M. & Puente, Javier & Fernandez, Isabel & León, Omar, 2023. "Integrated model for the assessment of power generation alternatives through analytic hierarchy process and a fuzzy inference system. Case study of Spain," Renewable Energy, Elsevier, vol. 211(C), pages 563-581.
    16. May, Jerrold H. & Shang, Jennifer & Tjader, Youxu Cai & Vargas, Luis G., 2013. "A new methodology for sensitivity and stability analysis of analytic network models," European Journal of Operational Research, Elsevier, vol. 224(1), pages 180-188.
    17. Erica Corradi & Mosè Rossi & Alice Mugnini & Anam Nadeem & Gabriele Comodi & Alessia Arteconi & Danilo Salvi, 2021. "Energy, Environmental, and Economic Analyses of a District Heating (DH) Network from Both Thermal Plant and End-Users’ Prospective: An Italian Case Study," Energies, MDPI, vol. 14(22), pages 1-25, November.
    18. Abdulla Alabbasi & Jhuma Sadhukhan & Matthew Leach & Mohammed Sanduk, 2022. "Sustainable Indicators for Integrating Renewable Energy in Bahrain’s Power Generation," Sustainability, MDPI, vol. 14(11), pages 1-19, May.
    19. Saraswat, S.K. & Digalwar, Abhijeet K., 2021. "Evaluation of energy alternatives for sustainable development of energy sector in India: An integrated Shannon’s entropy fuzzy multi-criteria decision approach," Renewable Energy, Elsevier, vol. 171(C), pages 58-74.
    20. Bao, Chao & Fang, Chuang-lin, 2013. "Geographical and environmental perspectives for the sustainable development of renewable energy in urbanizing China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 27(C), pages 464-474.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijitmx:v:16:y:2019:i:06:n:s0219877019500457. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/ijitm/ijitm.shtml .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.