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Performance Evaluation of Private R&D Projects using BSC/DEA

BSC/DEA를 활용한 기업 연구개발 프로젝트 성과평가

  • Jeon, IkJin (Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology) ;
  • Lee, Hakyeon (Department of Industrial and Systems Engineering, Seoul National University of Science and Technology)
  • 전익진 (서울과학기술대학교 IT정책전문대학원) ;
  • 이학연 (서울과학기술대학교 글로벌융합산업공학과)
  • Received : 2017.03.06
  • Accepted : 2017.05.16
  • Published : 2017.06.30

Abstract

This paper proposes a R&D project performance measurement model for private firms combining balanced scorecard (BSC) and data envelopment analysis (DEA). The efficiency of R&D projects is measured in terms of each of the three perspectives of BSC by using DEA : the internal process perspective (DEA-P), the customer perspective (DEA-C), and the financial perspective (DEA-F). The performance indicators of the three perspectives of BSC are considered as outputs of the corresponding DEA models. To provide strategic implications for R&D planning, we also propose the R&D project performance matrices composed of two different types of efficiency dimensions. The proposed model is expected to be fruitfully utilized for R&D performance measurement of private firms.

Keywords

References

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