주제 분석 및 토픽 모델링 기반 군수 및 방위산업 공급망 연구 동향 분석: 체계적 검토
Analysis of Research Trends in Defense and Military Supply Chains using Thematic Analysis and Topic Modeling: A Systematic Review
0
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
This study provides a comprehensive analysis of research trends in the defense industry supply chain through the application of topic modeling in international literature. Using data sourced from the Web of Science, 379 research articles were analyzed, with six articles excluded owing to missing publication dates. The analysis segmented the research into three distinct periods reflecting significant shifts in publication volume: 1956–2002, 2003–2014, and 2015–2024 (first half). During the first period, research primarily concentrated on large-scale military operations and logistics efficiency, with an emerging interest in technological innovation and the globalization of defense industries. The second period marked notable advancements in logistics systems, particularly in the integration of RFID and simulation technologies. In the third and most recent period, research expanded to address more complex and interdisciplinary subjects, including aerospace technologies, blockchains, AI integration, crisis response, and cybersecurity. This study is the first to systematically review the global research trends in defense supply chains, addressing a critical gap in the literature, particularly within the domestic context. These findings offer valuable insights into the ongoing evolution and strategic policy development of defense supply chain management.
Abstract
This study provides a comprehensive analysis of research trends in the defense industry supply chain through the application of topic modeling in international literature. Using data sourced from the Web of Science, 379 research articles were analyzed, with six articles excluded owing to missing publication dates. The analysis segmented the research into three distinct periods reflecting significant shifts in publication volume: 1956–2002, 2003–2014, and 2015–2024 (first half). During the first period, research primarily concentrated on large-scale military operations and logistics efficiency, with an emerging interest in technological innovation and the globalization of defense industries. The second period marked notable advancements in logistics systems, particularly in the integration of RFID and simulation technologies. In the third and most recent period, research expanded to address more complex and interdisciplinary subjects, including aerospace technologies, blockchains, AI integration, crisis response, and cybersecurity. This study is the first to systematically review the global research trends in defense supply chains, addressing a critical gap in the literature, particularly within the domestic context. These findings offer valuable insights into the ongoing evolution and strategic policy development of defense supply chain management.
참고문헌 (30)
- Jeon, G. W., "Systematic Analysis on the Trend of Defense Technologies Using Topic Modeling : A Case of an Armoured Fighting Vehicle", The Journal of Industrial Innovation, 36(1), pp.69~94 (2020)
- Shou, Y., "Risk management and firm performance : the moderating role of supplier integration", Industrial Management &Data Systems, 118(7), pp.1327~1344 (2018)
- Gurtu, A., "Supply chain risk management : Literature review", Risks, 9(1), pp.1~16 (2021)
- Woo, J. W., "Study f or Information management of Defense Industry Supply Chain", Journal of the Korea Academia-Industrial Cooperation Society, 24(6), pp.330~336 (2023)
- Yu J. S., "Analysis and Countermeasures of Security Threats to Digital Transformation in Defense Industry", Journal of the Korea Academia-Industrial Cooperation Society, 24(10), pp.682~689 (2023)
- Yang, H. W., "A Study on the Change of Supply Chain in the Global Defense Industry and the Need for Early Introduction of the ROK-US Mutual Defense Procurement Agreement", Studies on Humanities and Social Sciences, 6(4), pp.323~338 (2024)
- Park, T. J., "The Effects of Reciprocal Defense Procurement Agreement on Domestic Defense Industry", The Journal of Social Convergence Studies, 8(3), pp.47~59 (2024)
- Shin, D., "A Study on the Analysis of Defense Export Competitiveness for Korea-US Reciprocal Defense Procurement", Journal of the Korean Institute of Defense Technology, 2(3), pp.5~10 (2020)
- Blei, D. M., "Probabilistic topic models", Communications of the ACM, 55(4), pp.77~84 (2012)
- Vayansky, I., "A review of topic modeling methods", Information Systems, 94, pp.1~15 (2020)
- Newman, D., "Automatic evaluation of topic coherence", Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, pp.100~108 (2010)
- Tang, J., "Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis", Proceedings of the 31st international conference on machine learning, 32(1), pp.190~198 (2014)
- Cook, J., "Reducing military helicopter maintenance through prognostics", 2007 IEEE Aerospace Conference, pp.1~7 (2007)
- Apte, U., "Service Science, Management and Engineering Education for the 21st Century", pp.235~242 (2008), Springer
- Sokri, A., "Military supply chain flexibility measures", Journal of Modelling in Management, 9(1), pp.78~86 (2014)
- Barad, M., "Flexibility in logistic systems—modeling and performance evaluation", International Journal of Production Economics, 85(2), pp.155~170 (2003)
- Farahani, R. Z., "Combination of MCDM and covering techniques in a hierarchical model for facility location : A case study", European Journal of Operational Research, 176(3), pp.1839~1858 (2007)
- Sebbah, S., "A column-and-cut generation algorithm for planning of Canadian armed forces tactical logistics distribution", Computers & Operations Research, 40(12), pp.3069~3079 (2013)
- Thiagarajan, R., "A simulation-based risk analysis technique to determine critical assets in a logistics plan", 19th International Congress on Modelling and Simulation, pp.503~509 (2011)
- DePass, B., "Next Generation End-To-End Logistics Decision Support Tools. Evolutionary Logistics Planning", 2007 IEEE Symposium on Computational Intelligence in Security and Defense Applications, pp.50~56 (2007)
- Fitzpatrick, D., "RA-EKI : A use case for collaborative logistics planning in coalition force deployment", 2013 Military Communications and Information Systems Conference, pp.1~5 (2013)
- Loney, D. A., "Rapid Operational Access and Maneuver Support platform for military logistics and operation planning in water environments", The Journal of Defense Modeling and Simulation, 15(4), pp.437~447 (2018)
- Bao-Ping, L., "Constructing Strategy of Stable Reverse Military Logistics System Based on Non-Cooperative Game", 2017 International Conference on Management Science and Engineering (ICMSE), pp.1~4 (2017)
- Kaneberg, E., "Managing Military Involvement in Emergency Preparedness in Developed Countries", Journal of Humanitarian Logistics and Supply Chain Management, 7(3), pp.350~374 (2017)
- Zhou, B., "Global potential of rare earth resources and rare earth demand from clean technologies", Minerals, 7(11), pp.1~14 (2017)
- Laudal, D. A., "Rare earth elements in North Dakota lignite coal and lignite-related materials", Journal of Energy Resources Technology, 140(6), pp.1~9 (2018)
- Lilly, B., "Weaponising blockchain : military applications of blockchain technology in the US, China and Russia", The RUSI Journal, 166(3), pp.46~56 (2021)
- Osgood, J. M., "Cross-Cutting Lessons Learned During the COVID-19 Pandemic—the Walter Reed Army Institute of Research Experience", Military Medicine, 188(1-2), pp.158~165 (2023)
- Pomer, A., "The response of the Military Health System(MHS)to the COVID-19 pandemic : a summary of findings from MHS reviews", Health Research Policy and Systems, 22(1), pp.1~9 (2024)
- Wincewicz-Bosy, M., "Military food supply chain during the COVID-19 pandemic", Sustainability, 14(4), pp.1~22 (2022)
