4.6 Article

Determinants of Selection of R&D Cooperation Partners: Insights from Korea

期刊

SUSTAINABILITY
卷 13, 期 17, 页码 -

出版社

MDPI
DOI: 10.3390/su13179637

关键词

R&D collaboration; SME; appropriability; resource complementarity

资金

  1. Kongju National University [2018-0199]

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Small and medium-sized enterprises face fierce competition in foreign markets due to lack of technological capabilities, often relying on external R&D activities. This paper empirically analyzes determinants of SMEs' selections of R&D cooperation partners in Korea, finding factors such as larger labor force in R&D, larger sales, and others influencing the collaboration choice.
These days, small and medium-sized enterprises (SMEs) face more severe competition in foreign markets due to the globalization of the economy (e.g., FTA). They usually lack technological capabilities and often depend on external R&D activities. Thus, it is worth exploring what factors facilitate SMEs' R&D collaboration with partners. This paper empirically analyzes the determinants of SMEs' selections of R&D cooperation partners in Korea. According to the regression results, SMEs with a larger labor force in R&D, larger sales, younger CEOs, more advanced technologies, and less R&D equipment are more likely to cooperate with external R&D partners. When SMEs produce a product that is not easily imitated by others, they are more willing to cooperate with universities or research institutions but not with suppliers or customers. In sum, for Korean SMEs, the arguments of appropriability and resource complementarity appear to work in their R&D activities. However, the former is more important for collaborations with universities or research institutions, and the latter is more influential to those with suppliers and customers. This paper contributes to the literature in two aspects-quantitative studies on the collaborative innovation of SMEs are still limited, and the differences in cooperation determinants across types of partners are explored due to the richness of the dataset.

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