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      Design and Application of Two-Stage Performance Measurement System Considering Dynamic Capabilities

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      https://www.riss.kr/link?id=A105405023

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      다국어 초록 (Multilingual Abstract)

      The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a ‘Process capability index’ that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement.
      The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously.
      Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.
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      The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create adde...

      The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a ‘Process capability index’ that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement.
      The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously.
      Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

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      목차 (Table of Contents)

      • 1. 서 론
      • 2. 문헌연구
      • 3. 연구방법 및 데이터
      • 4. 연구결과
      • 5. 결 론
      • 1. 서 론
      • 2. 문헌연구
      • 3. 연구방법 및 데이터
      • 4. 연구결과
      • 5. 결 론
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      참고문헌 (Reference)

      1 권순만, "정보유출이 기업가치에 미치는 효과분석: 원천 및 장기성과" 한국전자거래학회 21 (21): 81-96, 2016

      2 백병주, "시장 선도 기업의 동태적 역량에 대한 탐색적 연구: 연구 프레임워크 구축" 한국산학기술학회 16 (16): 8262-8273, 2015

      3 Neely, A., "The performance prism in practice" 5 (5): 6-13, 2001

      4 Neely, A.D., "The performance prism : The scorecard for measuring and managing business success" Financial Times/Prentice Hall 2002

      5 Schwab, K., "The fourth industrial revolution : what it means, how to respond" 2016

      6 Kaplan, R.S., "The balanced scorecard : measures that drive performance" 70 (70): 71-79, 1992

      7 Banker, R.D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis" 30 (30): 1078-1092, 1984

      8 Zhu, J., "Quantitative models for performance evaluation and benchmarking : data envelopment analysis with spreadsheets (Vol. 213)" Springer 2014

      9 Khan, Z., "Post-entry survival of developing economy international new ventures : A dynamic capability perspective" 27 (27): 149-160, 2018

      10 Wongrassamee, S., "Performance measurement tools : the Balanced Scorecard and the EFQM Excellence Model" 7 (7): 14-29, 2003

      1 권순만, "정보유출이 기업가치에 미치는 효과분석: 원천 및 장기성과" 한국전자거래학회 21 (21): 81-96, 2016

      2 백병주, "시장 선도 기업의 동태적 역량에 대한 탐색적 연구: 연구 프레임워크 구축" 한국산학기술학회 16 (16): 8262-8273, 2015

      3 Neely, A., "The performance prism in practice" 5 (5): 6-13, 2001

      4 Neely, A.D., "The performance prism : The scorecard for measuring and managing business success" Financial Times/Prentice Hall 2002

      5 Schwab, K., "The fourth industrial revolution : what it means, how to respond" 2016

      6 Kaplan, R.S., "The balanced scorecard : measures that drive performance" 70 (70): 71-79, 1992

      7 Banker, R.D., "Some models for estimating technical and scale inefficiencies in data envelopment analysis" 30 (30): 1078-1092, 1984

      8 Zhu, J., "Quantitative models for performance evaluation and benchmarking : data envelopment analysis with spreadsheets (Vol. 213)" Springer 2014

      9 Khan, Z., "Post-entry survival of developing economy international new ventures : A dynamic capability perspective" 27 (27): 149-160, 2018

      10 Wongrassamee, S., "Performance measurement tools : the Balanced Scorecard and the EFQM Excellence Model" 7 (7): 14-29, 2003

      11 Taticchi, P., "Performance measurement and management : a literature review and a research agenda" 14 (14): 4-18, 2010

      12 Fitzgerald, L., "Performance Measurement in Service Businesses" 1991

      13 Charnes, A., "Measuring the efficiency of decision making units" 2 (2): 429-444, 1978

      14 Chen, Y., "Measuring information technology's indirect impact on firm performance" 5 (5): 9-22, 2004

      15 Lynch, R.L., "Measure up! : Yardsticks for continuous improvement" Blackwell 1991

      16 Parmenter, D., "Key performance indicators : developing, implementing, and using winning KPIs" John Wiley & Sons 2015

      17 Brown, M.G., "Keeping Score : Using the Right Metrics to Drive World-Class Performance" 1996

      18 Kurtzman, J., "Is your company off course? Now you can find out why" 135 (135): 128-130, 1997

      19 Hudson, M., "Improving control through effective performance measurement in SMEs" 12 (12): 804-813, 2001

      20 Meyer, M.W., "Finding performance : The new discipline in management, Business performance measurement : Theory and practice" 51-64, 2002

      21 Teece, D.J., "Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance" 28 (28): 1319-1350, 2007

      22 권순만, "Evaluating Performance of Telecommunication Branch : Application of DEA with Non-Discretionary Factor" 한국산업경영시스템학회 40 (40): 21-28, 2017

      23 Zahra, S.A., "Entrepreneurship and dynamic capabilities : A review, model and research agenda" 43 (43): 917-955, 2006

      24 Kao, C., "Efficiency measurement for network systems : IT impact on firm performance" 48 (48): 437-446, 2010

      25 Protogerou, A., "Dynamic capabilities and their indirect impact on firm performance" 21 (21): 615-647, 2012

      26 Teece, D.J., "Dynamic capabilities and strategic management" 18 (18): 509-533, 1997

      27 Eisenhardt, K.M., "Dynamic capabilities : what are they?" 21 (21): 1105-1121, 2000

      28 Barreto, I., "Dynamic capabilities : A review of past research and an agenda for the future" 36 (36): 256-280, 2010

      29 Neely, A., "Designing performance measures : a structured approach" 17 (17): 1131-1152, 1997

      30 Lohman, C., "Designing a performance measurement system : A case study" 156 (156): 267-286, 2004

      31 Zollo, M., "Deliberate learning and the evolution of dynamic capabilities" 13 (13): 339-351, 2002

      32 Quinton, S., "Conceptualising a digital orientation : antecedents of supporting SME performance in the digital economy" 1-13, 2017

      33 Yin, R.K., "Case study research : design and methods" Sage Publications, Inc 2013

      34 Neely, A., "Business performance measurement : Unifying theory and integrating practice" Cambridge University Press 2007

      35 Ratnatunga, J., "$CE-VITA^{TM}$ : the valuation and reporting of strategic capabilities" 15 (15): 77-105, 2004

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-11-29 학회명변경 영문명 : 미등록 -> KOREAN SOCIETY OF INDUSTRIAL AND SYSTEMS ENGINEERING KCI등재
      2021-11-25 학술지명변경 외국어명 : Journal of Society of Korea Industrial and Systems Engineering -> Journal of Korean Society of Industrial and Systems Engineering KCI등재
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2019-12-04 학술지명변경 한글명 : 산업경영시스템학회지 -> 한국산업경영시스템학회지
      외국어명 : Journal of the Society of Korea Industrial and Systems Engineering -> Journal of Society of Korea Industrial and Systems Engineering
      KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2003-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.34 0.34 0.3
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.28 0.28 0.37 0.16
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