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      충청권 생활문화센터 경영성과 측정 및 가치 증대 방안에 관한 연구 = A Study on the Measurement of Managerial Performance and Strategies for Value Enhancement of Community Cultural Centers in the Chungcheong Region

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      https://www.riss.kr/link?id=T17274039

      • 저자
      • 발행사항

        공주 : 국립공주대학교 대학원, 2025

      • 학위논문사항

        학위논문(석사) -- 국립공주대학교 대학원 , 부동산학과 , 2025. 8

      • 발행연도

        2025

      • 작성언어

        한국어

      • 발행국(도시)

        충청남도

      • 형태사항

        ; 26 cm

      • 일반주기명

        지도교수: 심희철

      • UCI식별코드

        I804:44004-000000035435

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        • 국립공주대학교 도서관 소장기관정보
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      ABSTRACT

      A Study on the Measurement of Managerial Performance and Strategies for Value Enhancement of Community Cultural Centers in the Chungcheong Region

      YouRi, Jeong

      Department of Real Estate
      Graduate School of Kongju National University
      Yesan, Korea

      (Supervised by Professor HeeCheol, Shim)

      This study measured management performance through efficiency and productivity analysis targeting 12 living and cultural centers located in the Chungcheong area (Daejeon Metropolitan City, Sejong Special Self-Governing City, Chungcheongbuk-do, and Chungcheongnam-do). Based on the analysis results, the study sought to propose a plan to enhance value by improving operational efficiency. For the analysis data, data from 2022 to 2024 from the Ministry of Culture, Sports and Tourism's "National Cultural Infrastructure Review" were used. Input and output variables were selected considering major indicators from the dataset and previous studies. There are five input variables: budget, manpower, facility area, operating hours, and number of programs. The output variable consisted of the number of users. The analysis method measured the relative efficiency by year through the CCR model and BCC model of DEA (data envelope analysis). And the time series productivity change was measured through Malmquist Productivity Index (MPI) analysis. As a result of the analysis, the average CCR efficiency of all 12 centers gradually increased, but there were many centers in need of management improvement. In addition, it was found that centers in a state of increasing scale (IRS) can increase efficiency by expanding the scale, accounting for more than half of the total. Meanwhile, DMU 1 and 10 were referenced more than 5 times within the analysis period and served as a reference group. The average MPI was 1.5635, indicating that productivity improvement was achieved during the analysis period. This was mainly attributed to improvements in technical efficiency. Based on these analysis results, this study proposes the following policy suggestions. Designation of operational best practices that inefficient centers can benchmark, support for expanding the scale of operations for centers corresponding to IRS, and investment that can produce sustainable operational performance should be made for centers with stagnant technology change index rather than simple technology introduction.
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      ABSTRACT A Study on the Measurement of Managerial Performance and Strategies for Value Enhancement of Community Cultural Centers in the Chungcheong Region YouRi, Jeong Department of Real Estate Graduate School of Kongju National University Yesan, ...

      ABSTRACT

      A Study on the Measurement of Managerial Performance and Strategies for Value Enhancement of Community Cultural Centers in the Chungcheong Region

      YouRi, Jeong

      Department of Real Estate
      Graduate School of Kongju National University
      Yesan, Korea

      (Supervised by Professor HeeCheol, Shim)

      This study measured management performance through efficiency and productivity analysis targeting 12 living and cultural centers located in the Chungcheong area (Daejeon Metropolitan City, Sejong Special Self-Governing City, Chungcheongbuk-do, and Chungcheongnam-do). Based on the analysis results, the study sought to propose a plan to enhance value by improving operational efficiency. For the analysis data, data from 2022 to 2024 from the Ministry of Culture, Sports and Tourism's "National Cultural Infrastructure Review" were used. Input and output variables were selected considering major indicators from the dataset and previous studies. There are five input variables: budget, manpower, facility area, operating hours, and number of programs. The output variable consisted of the number of users. The analysis method measured the relative efficiency by year through the CCR model and BCC model of DEA (data envelope analysis). And the time series productivity change was measured through Malmquist Productivity Index (MPI) analysis. As a result of the analysis, the average CCR efficiency of all 12 centers gradually increased, but there were many centers in need of management improvement. In addition, it was found that centers in a state of increasing scale (IRS) can increase efficiency by expanding the scale, accounting for more than half of the total. Meanwhile, DMU 1 and 10 were referenced more than 5 times within the analysis period and served as a reference group. The average MPI was 1.5635, indicating that productivity improvement was achieved during the analysis period. This was mainly attributed to improvements in technical efficiency. Based on these analysis results, this study proposes the following policy suggestions. Designation of operational best practices that inefficient centers can benchmark, support for expanding the scale of operations for centers corresponding to IRS, and investment that can produce sustainable operational performance should be made for centers with stagnant technology change index rather than simple technology introduction.

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      목차 (Table of Contents)

      • 목 차
      • Ⅰ. 서론 1
      • 1. 연구의 배경 및 필요성 1
      • 2. 연구의 목적 3
      • 목 차
      • Ⅰ. 서론 1
      • 1. 연구의 배경 및 필요성 1
      • 2. 연구의 목적 3
      • Ⅱ. 이론적 고찰 4
      • 1. 생활문화센터 4
      • 1) 생활문화의 정의 4
      • 2) 생활문화시설의 분류 8
      • 3) 생활문화센터 현황 11
      • 2. 경영성과의 측정방법 14
      • 1) 공공시설의 가치평가 14
      • 2) DEA(자료포락분석) 15
      • 3) Malmquist 생산성 지수 분석 20
      • 3. 선행연구 검토 23
      • Ⅲ. 연구 방법 30
      • 1. 분석대상 및 DMU 선정 30
      • 1) 분석대상 30
      • 2) DMU 선정 30
      • 2. 변수선정 및 분석방법 32
      • 1) 변수선정 32
      • 2) 분석방법 32
      • Ⅳ. 연구 결과 34
      • 1. 기초통계분석 34
      • 2. 효율성 분석 36
      • 1) DEA 효율성 분석 결과 36
      • 2) Malmquist 생산성 지수 분석 결과 40
      • Ⅴ. 결 론 44
      • 1. 요약 및 결론 44
      • 2. 연구의 한계점 및 향후 연구 방향 48
      • 참고문헌 49
      • ABSTRACT 53
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