수산경영론집 (The Journal of Fisheries Business Administration)

  • 제49권4호
  • /
  • Pages.1-17
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  • 2018
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  • 1225-1011(pISSN)
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  • 2288-1727(eISSN)
한국수산경영학회 (The Korean Society of Fisheries Business Administration)
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데이터 기반 정책지원 대상 우수 중소기업 발굴 방법론 연구 : 국내 수산산업을 대상으로

Data-based Method of Selecting Excellent SMEs for Governmental Funding Policy: Focused on Fishery Industry in Korea

  • 황순욱 (부경대학교 과학기술정책협동과정) ;
  • 천동필 (부경대학교 기술경영전문대학원 기술경영학과)
  • Hwang, Soon-Wook (Disciplinary Program of Science and Technology Policy, Pukyong National University) ;
  • Chun, Dong-Phil (Graduate School of Management of Technology, Pukyong National University)
  • 투고 : 2018.08.21
  • 심사 : 2018.12.03
  • 발행 : 2018.12.31
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초록

The Korean fisheries industry is a traditional business, the majority of which are small and medium-sized enterprises (SMEs). It has played an important role in the South Korean economies in the past several decades, but it currently faces the limitations of growth potential and profitability due to declining workforce, aging populations, deteriorating fishery environments, climate changes, and rapid changes in the global industrial ecosystem. Many studies have suggested solutions for the fisheries industry in macro perspective, but there are rarely any studies taking the strategic approaches for the problem. If it is possible for governments to support the companies that are likely to increase their value-added selectively, it will break through the current situation more effectively. This paper introduces a study on the selection method utilizing data envelopment analysis (DEA) to find SMEs with potentials to increase profits and growth. We suggest selecting SMEs with high management efficiency and ability to utilize intangible assets as the target companies. We also suggest policy objectives for SMEs in the domestic fisheries industry based on the results of DEA analysis and propose a data-based method for the policy decisions.

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참고문헌

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