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Performance Evaluation of Research and Business Development: A Case Study of Korean Public Organizations

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  • Jaehun Park

    (Division of Cosmetic Science and Technology, Daegu Haany University, Gyeongsan, Gyeongsangbuk-do 38610, Korea)

  • Joonyoung Kim

    (Defense Agency for Technology and Quality, Jinju, Gyeongsangnam-do 52851, Korea)

  • Si-Il Sung

    (Department of Industrial and Management Engineering, Inje University, Gimhae, Gyeongsangnam-do 50834, Korea)

Abstract

This study presents data envelopment analysis (DEA)-based systematic and simultaneous performance measures for research and business development (R&BD) and internal processes. In particular, we focus on the relationship between the research and development (R&D) process and business development (BD) process in evaluating R&BD overall performance, and provide effective guidelines for relatively underperforming decision-making units to help them establish an optimal strategy to increase their performance. To that end, we develop a two-stage network DEA model based on performance measures by defining variables and transforming R&D and BD performances into a serial network structure. In addition, based on the proposed method, we present a practical application of R&BD performance measurement for Korean public organizations, specifically public research institutes and universities.

Suggested Citation

  • Jaehun Park & Joonyoung Kim & Si-Il Sung, 2017. "Performance Evaluation of Research and Business Development: A Case Study of Korean Public Organizations," Sustainability, MDPI, vol. 9(12), pages 1-16, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:12:p:2297-:d:122520
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    References listed on IDEAS

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    Cited by:

    1. Kun Chen & Xian-tong Ren & Guo-liang Yang & Hai-bo Qin, 2022. "The other side of the coin: The declining of Chinese social science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 127-143, January.
    2. Yoo Hwan Lee & Young Wook Seo, 2018. "Strategies for Sustainable Business Development: Utilizing Consulting and Innovation Activities," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    3. Hongbo Li & Bowen Yao & Xin Yan, 2021. "Data-Driven Public R&D Project Performance Evaluation: Results from China," Sustainability, MDPI, vol. 13(13), pages 1-14, June.

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