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ISSN : 2233-4165(Print)
ISSN : 2233-5382(Online)
Journal of Industrial Distribution & Business Vol.10 No.8 pp.55-65

A Study on the Influence of Regional Competency in Science and Technology Policy on Performance

Sang-Gyun KIM**,Min-Jung KANG***
* This paper was extracted from Kim Sang-gyun's Master's thesis (2018).
** First Author, Researcher, Sejong Technopark, 58034 13, Gunchungro 93, Jochiwon, Sejong-si, Korea, Republic of Korea.

© Copyright: Korean Distribution Science Association (KODISA)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
*** Corresponding Author, Assistant Professor, Department of Business Administration, Mokpo National University, 1666, Yeongsan-ro, Cheonggye-myeon, Muan-gun, Jeollanam-do, Republic of Korea. Email:
January 17, 2019. August 05, 2019. August 05, 2019.


Purpose – Recently, the fourth industrial revolution is rapidly progressing, and the central government-led innovation system is not able to flexibly cope with changes in science and the economy and society. To solve these problems, it is necessary for local governments, which can easily identify and flexibly respond to local sites, to become self-centered and ready to respond more quickly to massive changes. Through this research, this study investigated the awareness of the elements of Jeonnam Province's capabilities in the field of science and technology policy, the importance of R&D, and how network cooperation among the base institutions might affect performance.
Research design, data, and methodology – In fact, the data used in this study only 115 people were polled, excluding five who did not respond to the necessary variables. The methods of the survey were sampled, and the means of the survey were investigated via a self-contained electronic file (e-mail). Statistical analysis, including hypothesis verification, was performed by SPSS 19. The regression analysis was used.
Results – All factors significantly affect performance by dividing them into five sub-fields: R&D strategic establishment, R&D demand survey, R&D planning, R&D evaluation, and R&D project management. These results suggest the importance and need for local scientific technology policy capabilities. Besides, it was confirmed that the relationship between regional science and technology policy capabilities and performance was moderated by the recognition of the importance of science technology and network cooperation among the core organizations.
Conclusions – As a result, independent variables regarding the capabilities of each scientific technology policy were found to be statistically significant and have a significant effect on performance. Second, the regression analysis has shown the moderation effects of R&D importance awareness between the capabilities of science and technology policies and their performance. On the other hand, a regression analysis showing that the capabilities of science and technology policies and network cooperation between the base regions were not significant, indicating that there is no effect of moderation of network cooperation between the base regions between the capabilities of science and technology policies and performance.

JEL classifications: M10, M15, M19.

지역 과학기술 정책역량이 성과에 미치는 영향에 관한 연구






    1. Ahn, J. H., & Kim, S. J. (2006). Capacity Evaluation of Regional Science and Technology Innovation. Korea Institute of Science and Technology Evaluation and Planning.
    2. Chamberlain, E. A. C. (1971). The Ambient Temperature Oxidation of Coal in Relation to the Early Detection of Spontaneous Heating: Part 2. Min, Eng., 132(152), 387.
    3. Easton, D. (1965). A Framework for Political Analysis. Englewood Cliffs, NJ: Prentice-Hall, Inc.
    4. Gibson C. B,, & Gibbs J. L. (2006). Unpacking the concept of virtuality: the effects of geographic dispersion, electronic dependence, dynamic structure, and national diversity on team innovation. Adm. Sci. Q., 51, 451–495.
    5. Han, S. G. (2014). A Study on the Reinforcement of Science and Technology Policy through the Application of Policy Network. Korea Institute of Science and Technology Evaluation and Planning.
    6. Hwang, H. J. (2013). A Study on the Global Management Strategy for Product Quality Assurance Based on Brand Power and Country of Origin Effect. Journal of Distribution Science, 11(2), 23-33.
    7. Kim, J. K., Hwang, H. J., & Song, I. A. (2015). Top Management’s Human and Social Capital Effect on Governmental R&D Support System Utilization and Success. Journal of Distribution Science, 13(6), 71-78.
    8. Kim. S. J. (2017). A Study on the Establishment of Self-Oriented R&D Innovation System by Regional Decentralization. Korea Institute of Science and Technology Evaluation and Planning.
    9. Kim, B. S. (2016). A Project to Ly the Foundation for Science and Technology Policy. Korea Institute of Science and Technology Evaluation and Planning.
    10. Kwan, K. H. (2006). Conceptual evolution within the modern resource-based view: An assessment and review. Korea Business Review, 9(2), 215-244.
    11. Lee, J. J. (2017). A Study on the Government's Planning and Business Analysis of Converged Human Resources Based on Science and Technology. Korea Institute of Science and Technology Evaluation and Planning.
    12. Lee, J. J., Hyeon, B. W., & Choi, Y. H. (2011). Science and technology policy: phenomenon and theory. Seoul, Korea: Gyeongmunsa.
    13. Lee, J. W. (2000). A Framework for R&D Evaluation System and Its Application. Science & Technology Policy Institute.
    14. Ministry of Science. (2016). ICT and Future Planning. REGIONAL S&T YEARBOOK. Korea Institute of Science and Technology Evaluation and Planning.
    15. Park, S. J., & Kim, S. J. (2018). The Innovation Task to Improve Strategy for Government R&D Budget. 230. Korea Institute of Science and Technology Evaluation and Planning.
    16. OECD. (2005). Governance of Innovation Systems. Paris.
    17. Park, G. S., Choi, S. C., & Park, H. B. (2008). The study on the strategic resource effect on performance measure and firm’s performance. Journal of Tax and Accounting, 22, 75-94.
    18. Park, J. H., Hur, J., & Keum, S. B. (2011). A Study on Management Performance of Food Manufactory Companies for Traceability System. Food Management Research, 14(1), 47-65.
    19. Rho, W. J. (2001). Bioethics and Role of the State. Korean Journal of Public Administration, 39(4),1-30.
    20. Rickne, A. (2001). Assessing the functionality. Paper presented at DRUID nelson-winter conference. Aalborg, Denmark: Aalborg University.
    21. Roh, Y. D., & Park, S. B. (2018). Effects of SM-sized Manufacturing Firm Management Performance: Control Effect of CEO Characteristics and Mediating Effect of Core Competence. International Journal of Industrial Distribution & Business, 9(11), 93-104.
    22. Wernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171-180.
    23. Yoo, H. (1989). A Study on Economic Regulations. Korean Journal of Public Administration, 27(1), 146-171.