Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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Analysis of Factors Affecting R&D Adoption Intention: Including the Moderating Effect of Dependence

R&D 수용의도에 영향을 미치는 요인 분석: 의존성의 조절효과를 포함하여

  • HanJu Kim (Graduate School of Management, Hanyang University) ;
  • Jeman Boo (School of Business, Hanyang University) ;
  • Dasol Lee (Graduate School of Management, Hanyang University)
  • 김한주 (한양대학교 대학원 경영학과) ;
  • 부제만 (한양대학교 경영학부) ;
  • 이다솔 (한양대학교 대학원 경영학과)
  • Received : 2024.06.06
  • Accepted : 2024.06.19
  • Published : 2024.06.30
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Abstract

This study emphasizes R&D as a management strategy for small and medium-sized manufacturing enterprises (SMEs) to achieve competitive advantage and aims to analyze the impact of innovation resistance, prior knowledge, and technological capability on the intention to adopt R&D. The research targeted 403 decision-makers from SMEs that have not adopted R&D. The analysis revealed the following key findings: As a result, both technical capabilities and prior knowledge had a negative effect on innovation resistance. In addition, technological capabilities and prior knowledge had a positive effect on adoption intention, and innovation resistance had a negative effect on acceptance intention. The indirect effects of technical capabilities and prior knowledge both had a positive impact. In addition, we tested whether dependency on partners and trading organizations that accepted R&D had a moderating effect, but it was not significant. The academic implications of this study provide a detailed analysis of how prior knowledge and technological capability affect innovation resistance in SMEs and verify the intention to adopt R&D. The practical implications suggest a direction for small and medium-sized enterprises to reduce innovation resistance in accepting R&D, and companies need to recognize the suitability of R&D and recognize the importance of technological capabilities and prior knowledge in order to reduce innovation resistance.

Keywords

Acknowledgement

This paper was reconstructed using data from Kim Hanju's 2024 doctoral dissertation.

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