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R&D 수용의도에 영향을 미치는 요인 분석: 의존성의 조절효과를 포함하여Analysis of Factors Affecting R&D Adoption Intention: Including the Moderating Effect of Dependence

Other Titles
Analysis of Factors Affecting R&D Adoption Intention: Including the Moderating Effect of Dependence
Authors
김한주부제만이다솔
Issue Date
Jun-2024
Publisher
한국산업경영시스템학회
Keywords
R&D; Innovation Resistance; Adoption Intention; Dependence; Small And Medium-sized Enterprises
Citation
산업경영시스템학회지, v.47, no.2, pp 124 - 133
Pages
10
Indexed
KCI
Journal Title
산업경영시스템학회지
Volume
47
Number
2
Start Page
124
End Page
133
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/209766
DOI
10.11627/jksie.2024.47.2.124
ISSN
2005-0461
2287-7975
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.
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