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An effective R&D performance measurement system: survey of Korean R&D researchers

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  • Kim, Bowon
  • Oh, Heungshik

Abstract

Without effective performance evaluation, R&D organizations will find it hard to motivate their R&D scientists and engineers: 'How should R&D managers design the performance measurement system most suitable to their own organization?' is a critical question. Based on a large-scale survey covering over 1200 R&D scientists and engineers in Korean R&D organizations, we put forth the following lessons. Although most of the R&D personnel prefer their compensation based on their performance, they indicate that lack of fair performance evaluation system could be the biggest obstacle towards implementing such a compensation scheme. They also suggest that a fair performance evaluation should utilize more behavioral and qualitative measures such as leadership and mentoring for younger researchers, and bottom-up (e.g., R&D researchers' evaluation of their own bosses, say, R&D managers) as well as horizontal (e.g., peers and/or colleagues) evaluation schemes.

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  • Kim, Bowon & Oh, Heungshik, 2002. "An effective R&D performance measurement system: survey of Korean R&D researchers," Omega, Elsevier, vol. 30(1), pages 19-31, February.
    • Handle: RePEc:eee:jomega:v:30:y:2002:i:1:p:19-31
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    References listed on IDEAS

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    1. Cordero, Rene, 1990. "The measurement of innovation performance in the firm: An overview," Research Policy, Elsevier, vol. 19(2), pages 185-192, April.
    2. John R. Hauser, 1998. "Research, Development, and Engineering Metrics," Management Science, INFORMS, vol. 44(12-Part-1), pages 1670-1689, December.
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    Cited by:

    1. Gloor, Peter A. & Fronzetti Colladon, Andrea & Grippa, Francesca, 2020. "The digital footprint of innovators: Using email to detect the most creative people in your organization," Journal of Business Research, Elsevier, vol. 114(C), pages 254-264.
    2. Mehdi Nekhili & Dhikra Chebbi Nekhili & Walid Cheffi, 2009. "Headquarters’ Control Capacity and the Choice of R&D Organizational Forms Abroad," Working Papers CREGO 1090503, Université de Bourgogne - CREGO EA7317 Centre de recherches en gestion des organisations.
    3. Sohn, S.Y. & Gyu Joo, Yong & Kyu Han, Hong, 2007. "Structural equation model for the evaluation of national funding on R&D project of SMEs in consideration with MBNQA criteria," Evaluation and Program Planning, Elsevier, vol. 30(1), pages 10-20, February.
    4. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
    5. Claire Bonnard, 2011. "Les incitations à l'innovation dans le secteur privé," Post-Print halshs-00599700, HAL.
    6. Mingting Kou & Yi Zhang & Yu Zhang & Kaihua Chen & Jiancheng Guan & Senmao Xia, 2020. "Does gender structure influence R&D efficiency? A regional perspective," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(1), pages 477-501, January.
    7. Kiwon Lee & Suchul Lee, 2023. "Enhancing R&D Performance Management: A Case of R&D Projects in South Korea," Sustainability, MDPI, vol. 15(15), pages 1-14, July.
    8. Prabath Chaminda Abeysiriwardana & Udith K. Jayasinghe-Mudalige, 2022. "Single window performance management: a strategy for evaluation integrated research culture in the commercial agriculture sector," SN Business & Economics, Springer, vol. 2(9), pages 1-24, September.
    9. Sheu Chen & Pei Wang & Hong Lee, 2012. "Performance measurement considering the interdependence of evaluators and criteria," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(1), pages 103-115, January.
    10. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
    11. Boh, Wai Fong & Evaristo, Roberto & Ouderkirk, Andrew, 2014. "Balancing breadth and depth of expertise for innovation: A 3M story," Research Policy, Elsevier, vol. 43(2), pages 349-366.
    12. Schönefeld, Carsten & Möller, Klaus & Engelhardt, Philipp, 2015. "Erfolgstreiber Innovationskennzahlen," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 69(3), pages 322-350.
    13. Kim, Eungdo & Kim, Soyoung & Kim, Hongbum, 2017. "Development of an evaluation framework for publicly funded R&D projects: The case of Korea's Next Generation Network," Evaluation and Program Planning, Elsevier, vol. 63(C), pages 18-28.

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