중소 제조업의 기술개발 영향요인과 개발성과 간의 인과경로: 기술개발 단계별 분석 = Factors Influencing Technology Development and Causal Relationship between Technology Development and Firm Performance of Small and Medium Korean Manufacturing Firms

다국어 초록 (Multilingual Abstract)

In previous studies on the relationship between the outcome of technological development and the factors that influence the technological development of small and medium-sized enterprises (SMEs), it has not been taken into account government support policies and variables related to technology management activities at the same time. In many cases of the existing research, only the impact of a particular variable has been analyzed on the basis of a simple input-output model. Moreover, the different role and effect of influencing factors in the life cycle stages of technology development have rarely been studied. This study has established two sets of hypothesis to find critical factors determining new product development success and causal path from technology development ideas to commercial launches and sales contributions. One set has theorized that the factors from both management of technology activities and government support policies simultaneously influence on the technology development performance throughout technology development stages. The other set of hypothesis has argued that the number of technological development projects for new product has a positive relationship with the number of successfully developed technology, and the number of successfully developed technology influence the number of successfully commercialized product and increased sales volume from new product along the new product development stages. With the technology development survey data from Korea federation of small and medium business, this study has applied generalized linear model (GLM) due to highly skewed and dispersed data characteristics, and Hierarchical linear model (HLM) to control industry-specific heterogeneous nature. With the technology development survey data from Korea federation of small and medium business, this study has applied generalized linear model (GLM) due to highly skewed and dispersed data characteristics, and Hierarchical linear model (HLM) to control industry-specific heterogeneous nature. The main findings are summarized as follows. First, this study confirmed the causal links that the number of development projects initiated increase the number of technologically successful development projects, and the number of technologically successful development projects affects the number of commercially successful development projects, and the number of commercially successful development projects are associated with the ratio of sales volume by newly developed products or improved products. Second, factors including degree of innovativeness of technology strategy, relative period of technology development, and formal organizational structure for technology development have all positive impacts on innovation performance consistently throughout the process of technology development. Third, the degree and experience of technology acquisition and collaborative development have affected neither the success of technological developments, nor the success of commercialization and increased sales by new and improved product. The proportion of subsidies and government investment in R&D expenditure of SMEs tend to give an overall negative impact on technology development life cycle performance. Finally, Government support policy such as tax credit, public procurement support, human resource development support, and provision of technical information were all have not positive impacts on the technological development performance.