Measuring Productivity and Supply Chain Risk in Offshoring Countries Using Slack-based DEA Method
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
A growing concern and issue in a global supply chain relates to hidden costs from various hazards present in outsourcing locations. Governments establish investment recruitment strategies, create Free Trade Zones, and participate in Free Trade Agreements or Regional Trade Agreements in order to safeguard and support home production. A study on supply chain risk management is globally conducted by researchers. However, there are only a few literature on how the risk affects offshoring activities. The goal of the research is to evaluate the effectiveness of global offshore destinations while taking into account supply chain concerns. In accordance with the literature studies, the study first classifies risks according to the nature of their effects. The study uses secondary data from The Organisation for Economic Cooperation and Development (OECD), Institute for Economics and Peace (IEP), The World Bank, and World Economic Forum to obtain information on supply chain risks, logistics performance, and offshore in order to reduce data bias. The effectiveness of offshoring is examined using a Data Envelopment Analysis Slack Based Measure Model while taking political, policy, social, and input-market concerns into account as well as the logistics performance index. A total of 58 nations with the necessary data for the variables are taken into consideration for the decision-making units. The research uses 5 input variables in total, while Value Added in Foreign Final Demand from the OECD is used as a stand-in for offshoring as the output variable. Data for the recent five years 2010, 2012, 2014, 2016, and 2018 are provided by the secondary data source. The results are evaluated globally for the studied years and summarized by each continent. The study revealed that developing countries multinational firms tend to offshore the business activities to the developing countries, and values low labor cost over supply chain resilience and logistics performance.
Abstract
A growing concern and issue in a global supply chain relates to hidden costs from various hazards present in outsourcing locations. Governments establish investment recruitment strategies, create Free Trade Zones, and participate in Free Trade Agreements or Regional Trade Agreements in order to safeguard and support home production. A study on supply chain risk management is globally conducted by researchers. However, there are only a few literature on how the risk affects offshoring activities. The goal of the research is to evaluate the effectiveness of global offshore destinations while taking into account supply chain concerns. In accordance with the literature studies, the study first classifies risks according to the nature of their effects. The study uses secondary data from The Organisation for Economic Cooperation and Development (OECD), Institute for Economics and Peace (IEP), The World Bank, and World Economic Forum to obtain information on supply chain risks, logistics performance, and offshore in order to reduce data bias. The effectiveness of offshoring is examined using a Data Envelopment Analysis Slack Based Measure Model while taking political, policy, social, and input-market concerns into account as well as the logistics performance index. A total of 58 nations with the necessary data for the variables are taken into consideration for the decision-making units. The research uses 5 input variables in total, while Value Added in Foreign Final Demand from the OECD is used as a stand-in for offshoring as the output variable. Data for the recent five years 2010, 2012, 2014, 2016, and 2018 are provided by the secondary data source. The results are evaluated globally for the studied years and summarized by each continent. The study revealed that developing countries multinational firms tend to offshore the business activities to the developing countries, and values low labor cost over supply chain resilience and logistics performance.
참고문헌 (40)
- Aqlan, F., "A fuzzy-based integrated framework for supply chain risk assessment", International Journal of Production Economics, 161, pp.54~63 (2015)[DOI]
- Banker, R., "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis", Management science, 30(9) (1984)
- Maria Listan Bernal, "Efficiency Analysis of Spanish Container Ports Using Undesirable Variables and the Malmquist Index", 한국항해항만학회지, 46(2), pp.110~120 (2022), 한국항해항만학회
- Bogataj, D., "Measuring the supply chain risk and vulnerability in frequency space", International Journal of Production Economics, 108(1-2), pp.291~301 (2007)
- Cabrera-Jiménez, R., "Comparing biofuels through the lens of sustainability : A data envelopment analysis approach", Applied Energy, 307, pp.118201~ (2022)
- Cavinato, J. L., "Supply Chain Logistics Risks : From the Back Room to the Board Room", International Journal of Physical Distribution &Logistics Management, 34, pp.383~387 (2004)
- Charnes, A., "Measuring the Efficiency of Decision Making Units", European Journal of Operational Research, 2(6) (1978)
- 조건, "공공성과를 반영한 국내 도시철도 운영기관의 DEA-SBM 효율성 분석", 비즈니스융복합연구, 6(4), pp.129~135 (2021), 한국비즈니스학회
- Christopher, M., "Mitigating Supply Chain Risk through Improved Confidence", International Journal of Physical Distribution &Logistics Management, 34, pp.388~396 (2004)
- Christopher, M., "Building the Resilient Supply Chain", The International Journal of Logistics Management, 15(2), pp.1~14 (2004)[DOI]
- Ellis, Scott C., "Buyer perceptions of supply disruption risk : A behavioral view and empirical assessment", Journal of Operations Management, 28, pp.34~46 (2010)
- Farrell, M., "The Measurement of Productive Efficiency", Journal of the Royal Statistical Society : Series A(General), 120, pp.253~281 (1957)
- Fjermestad, J., "A strategic management framework for IT outsourcing : A review of the literature and the development of a success factors model", Journal of Information Technology Case and Application Research, 7(3), pp.42~60 (2005)
- 정규한, "Network DEA-SBM과 의사결정나무 분석을 이용한 학교 운영의 효율성 평가 및 개선 모형: 진학 및 취업 성과를 중심으로", 연세경영연구, 57(2), pp.77~109 (2020), 경영연구소
- Harland, C., "Risk in Supply Networks", Journal of Purchasing & Supply Management, 9, pp.51~62 (2003)
- Ho, W., "Supply Chain Risk Management: A Literature Review", International Journal of Production Research, 53(16), pp.5031~5069 (2015)
- Jensen, P., "Offshoring and international competitiveness : Antecedents of offshoring advanced tasks", Journal of the Academy of Marketing Science, 40(2), pp.313~328 (2012)
- 정영인, "방사적 및 비방사적 접근법을 이용한 국내공항의 효율성 분석", 대한교통학회지, 31(2), pp.11~19 (2013), 대한교통학회
- 정혁, "DEA-SBM 모형을 이용한 대기업 계열사 보안관리 체계 효율성 분석", 정보보호학회논문지, 32(2), pp.341~353 (2022), 한국정보보호학회[DOI]
- Kim, E., "Study on Transport Reliability Concerning Uncertain Risks Using System Engineering Analysis", M.S., pp.2016
- 김진세, "DEA 및 DEA Window를 이용한 프로축구단의 정태적 ․ 동태적 효율성 분석", 한국스포츠산업경영학회지, 27(1), pp.49~68 (2022), 한국스포츠산업경영학회
- Kumar, S., "Minimisation of Supply Chain Cost with Embedded Risk Using Computational Intelligence Approaches", International Journal of Production Research, 48, pp.3717~3739 (2010)
- 이호경, "A Study on the Analysis of Operational Efficiency of Major Container Terminals in Korea", 물류학회지, 32(2), pp.45~54 (2022), 한국물류학회
- 장광홍, "중국 주요 물류기업의 운영 효율성 분석", 물류학회지, 32(2), pp.79~94 (2022), 한국물류학회
- Lin, Y., "The Impacts of Product Design Changes on Supply Chain Risk : A Case Study", International Journal of Physical Distribution & Logistics Management, 41, pp.162~186 (2011)
- 마진희, "한국 물류기업들의 경영효율성 및 다기간 생산성 분석", 물류학회지, 32(1), pp.43~52 (2022), 한국물류학회
- Min, H., "Measuring the supply chain risk in offshoring countries using data envelopment analysis and the analytic hierarchy process", Benchmarking : An International Journal, 24(7), pp.1977~1994 (2017)[DOI]
- Mudambi, R., "The Strategic Nexus of Offshoring and Outsourcing Decisions", Journal of Management Studies, 47(8), pp.1510~1533 (2010)[DOI]
- Peykani, P., "Dynamic Performance Assessment of Hospitals by Applying Credibility-Based Fuzzy Window Data Envelopment Analysis", Healthcare (Basel, Switzerland), 10(5), pp.876~ (2022)[DOI]
- Olson, D., "A Review of Enterprise Risk Management in Supply Chain", Kybernetes, 39, pp.694~706 (2010)
- Saen, R., "Assessing the sustainability of transport supply chains by double frontier network data envelopment analysis", Journal of Cleaner Production, 354, pp.131771~ (2022)
- Samvedi, A., "Quantifying Risks in a Supply Chain through Integration of Fuzzy AHP and Fuzzy TOPSIS", International Journal of Production Research, 51, pp.2433~2442 (2013)
- 설동대, "중소기업의 변리사 선정을 위한 평가요인의 중요도에 관한 연구", 한국경영공학회지, 27(1), pp.123~137 (2022), 한국경영공학회[DOI]
- 송건섭, "광역자치단체의 소통지수와 효율성 평가에 관한 연구: DEA, SEM, Super-SBM 모델의 적용", 한국지방자치연구, 22(1), pp.21~49 (2020), 대한지방자치학회
- Tang, C., "Perspectives in Supply Chain Risk Management", International Journal of Production Economics, 103, pp.451~488 (2006)
- Tang, C., "The Power of Flexibility for Mitigating Supply Chain Risks", International Journal of Production Economics, 116, pp.12~27 (2008)
- Kaoru Tone, "A slacks-based measure of efficiency in data envelopment analysis", European Journal of Operational Research, 130(3), pp.498~509 (2001), Elsevier BV[DOI]
- Trkman, P., "Supply Chain Risk in Turbulent Environments– A Conceptual Model for Managing Supply Chain Network Risk", International Journal of Production Economics, 119, pp.247~258 (2009)
- Tummala, R., "Assessing and Managing Risks Using the Supply Chain Risk Management Process(SCRMP)", Supply Chain Management : An International Journal, 16, pp.474~483 (2011)
- Zhang, C., "Applying the three-stage SBM-DEA model to evaluate energy efficiency and impact factors in RCEP countries", Energy, 241, pp.122917~ (2022)[DOI]