• Journal of Technology Innovation
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• v.18 no.2
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• pp.33-58
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• 2010

This paper explores the patterns of technological innovation in Korean manufacturing sector in accordance with technology intensity which classifies industries into four sectors; high-technology, medium-high-technology, medium-low-technology and low-technology. Empirical study using Korea Innovation Survey(KIS 2008) data shows that the patterns of technological innovation in Korea exhibits the characteristics of science-based firm described by Pavitt across all industry sectors regardless of the level of technology. On the other hand, overseas studies have found the distinct differences between high-and low-technology sectors; the former is shaped by science-based firm and the latter by supplier-dominated firm. It implies that technological innovation activities in Korea do not reflect the level and/or nature of technology and innovation patterns conform to a single standard of high-technology sector. Further studies on causes and impacts of this inclination would be required for effective technology and innovation policy that fits with the level and/or nature of technology in individual industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.10
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• pp.76-91
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• 2019

There have been many studies to examine the patterns in innovations reflecting industry-specific characteristics from an evolutionary economics perspective. The purpose of this study is to identify industry-specific differences in product innovation patterns and determinants of innovation performance. For this, Korean manufacturing is classified into high-tech industries and low-tech industries according to technology intensity. It is also pointed out that existing research does not reflect the decision-making process of firms' R&D implementations. In order to solve this problem, this study presents a Heckman sample selection model and a double-hurdle model as alternatives, and analyzes data from 1,637 firms in the 2014 Survey on Technology of SMEs. As a result, it was confirmed that the determinants and patterns of manufacturing in small and medium-size enterprise (SME) product innovation are significantly different between high-tech and low-tech industries. Also, through an extended empirical model, we found that there exist a sample selection bias and a hurdle-like threshold in the decision-making process. In this study, the industry-specific features and patterns of product innovation are examined from a multi-sided perspective, and it is meaningful that the decision-making process for manufacturing SMEs' R&D performance can be better understood.

• Journal of the Economic Geographical Society of Korea
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• v.12 no.1
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• pp.1-18
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• 2009

The aim of this study is to analyze the characteristics of firms related to products for the elderly. The data are based on statistics, questionnaire surveys and interviews with the persons related to the industry. Firms are classified into $3\times3$ matrix with the indexes of innovation performance and network participation. The former is measured with the number of patents and the latter is evaluated by the degree centrality of firms' network in the industries. Combining the previous indexes with other properties, the 9 categories are merged into 5 types: 'High Performance-High Centrality' (HP-HC), 'Network Leader-Low Technology Manufacturer' (NL-LTM), 'Network Leader-Distributor' (NL-D), 'High Performance-Network Outsider' (HP-NO), 'Low Performance-Isolated' (LP-I). Finally, sectoral and spatial policy implications are explored with the results of analysis.

• Journal of the Korean Geographical Society
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• v.40 no.6 s.111
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• pp.653-670
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• 2005

The purpose of this study is to explore a spatial agglomeration characteristics and innovative milieu of the shoemaking industry in Seoul. In order to explain it, currently discussed dynamic agglomeration economies approach is applied and as an example, shoemaking industry in Seoul has been analyzed. The result of this research can be boardly summarized into two points. Frist, agglomeration economy is changing from urbanization economy to localization economy in this newly rising core of shoemaking industry which is Sung-Su dong area. Also, cooperative effects based on collective efficiency between companies and people are being generated within the area. This is largely affected by networking infrastructure between companies and people within the area, non-trade dependency and social capital acclamation. Secondly, the lack of institutional agglomeration formation in this area is considered to be the obstacle for the long-term development and innovation spin-off. This means recognition switch-over and institutional concern and support is needed in the future from the public sector.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.6
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• pp.379-389
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• 2019

The study empirically investigates financial factors that may influence on corporate R&D intensity during the post-era of the global financial turmoil (from 2010 to 2015) to mitigate possible spillover effect associated with the crisis. Concerning the empirical research settings of the study, chaebol firms listed in the KOSPI stock market are used as sample data with adopting various econometric estimation methods to enhance validity of the results. In the first hypothesis test, it is found that there exist inter-industry financial differences in terms of the ratio of R&D expenditure across all the sample years, but the statistical differences may arise from only a few domestic industries beloning to the high-growth sector. Moreover, it is also interesting to identify that, for the high-tech sector, 3 explanatory variables such as R&D intensity in a prior year, firm size and change in cash holdings are proved to be financial factors to discriminate between chaebol firms and their counterparts of non-chaebol firms, whereas a proportion of tangible assets over total assets as well as the former two variables are shown to be significant factors on the R&D intensity for the low-tech sector.

• Korean small business review
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• v.41 no.3
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• pp.1-22
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• 2019

The purpose of this research was to investigate the impact of the partner types (supplier, customer, competitor, research institution, more than one partner type) for SMEs on radical and incremental innovation. Another purpose was to examine how the relation varies according to the technological intensity of an industry to which the focal firm belongs. To test the hypotheses, we used the 'KIS(Korean Innovation Survey) 2014' data and the empirical analysis was done with the effective survey from 3,846 Korean SMEs. We employed STATA 14 for validity, confirmatory factor analysis, and binary logistic regression analysis. The results revealed that, when viewed the entire manufacturing SMEs, cooperation with suppliers, customers and research institutes has all been shown to have a positive effect on the radical and gradual innovations of SMEs. However, The relationship between partner type and radical innovation has been significantly different depending on the technical intensity of the industry. When cooperating with suppliers, the impact on radical innovation of SMEs was significant only in low-tech and medium-low tech industries. In contrast, when working with customers, the impact on the radical innovation of SMEs was significant only in the high-tech, medium-high tech, and medium-low tech industries, except for low tech industries. Meanwhile, although cooperation with competitors has a positive effect on radical innovation, this has been only significant in the medium-high tech industries.

• Journal of Technology Innovation
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• v.18 no.2
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• pp.147-174
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• 2010

This paper aims to analysis sectoral innovation patterns of technological innovation and localized knowledge spillover in Korean manufacturing sector. Sectoral innovation system approach proposed that the specific pattern of innovative activity and knowledge spillover in an industry can be explained as the outcome of different technological regimes. Technological regime is defined by the particular combination of technological opportunities, appropriability of innovations, cumulativeness of technical advances and properties of the knowledge base. Based on a sample of 2,882 firms in manufacturing sector, this paper provides empirical estimates of the relationships between firm's product innovation and localized knowledge spillover. Results of the analysis provide considerable support to the hypothesis that firm's product innovation and localized knowledge spillover are related to the nature of the underlying technological regime. In the industry based on the tacit and specific knowledge, firm's product innovation is positively related to the localized knowledge spillover. This paper also shows that high stability in the ranking of innovators are related to high degrees of cumulativeness and appropriability.

• Journal of Korea Society of Industrial Information Systems
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• v.22 no.1
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• pp.89-104
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• 2017

This Study is to Explain the Reason of Stagnation of Technological Innovation for Digitalized Products in Competitive Market by Using the Concept of Consumer's Technical Appreciation Ability and by Employing Evolutionary Game Theory. In this Study, Consumer's Behaviors are Divided into Two Areas (Areas I and II). In Area I, Both Firms and Consumers Instinctively Welcome the Technological Innovation of Digitalized Products so that their Technological Skills are Likely to Advance Rapidly in a Short Time. On the Other Hand, in Area II, Consumers Feel Uncomfortable in the Usage of Advanced Digitalized Products so that they are Likely to Choose Digitalized Products Under Optimized Technology Condition. In other Words, Consumers want to the Old Models with Already Optimized Technology Rather than a Bland New Model. This Situation Allows Managers to make a Bland New Model Similar to a Earlier Model in many ways. Therefore, the Innovation of Digitalized Products may be Stagnated.

• Journal of Korea Technology Innovation Society
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• v.10 no.3
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• pp.509-530
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• 2007

This paper examined the relationship between innovation and firm performance by integrating industry competitive context and firm-level knowledge constructs. After controlling for firm site, age, and the presence of a union, cross-section analysis of survey data from 1,419 medium sized manufacturing firms yielded following findings. The first was the expected positive relationship between firm-level innovation and firm knowledge and also industry dynamism, as measured by the intensity of industry-level R&D. This results indicate that industries with greater aggregate levels of R&D intensity are home to higher rates of firm-level innovative activity and managers must increase their numbers of technical staff and the level of training. But the interaction between firm knowledge and industry dynamism was non-significant. Second, innovation was not significantly related to firm performance, as measured by revenue growth. This relationship was not moderated by industry dynamism and firm level knowledge. In high and low technology sectors, the relationship between innovation and performance was non-significant, consistent with the full-sample analysis. The results suggest that the effects of firm-level knowledge assets and investments in training don't work in different ways in different industry settings. This research used three control variables to analyze innovation and firm performance. Firm age was negatively associated with firm performance and did not significantly predict innovation. Firm size was positively associated with innovation and performance in the low-technology sector. The presence of a labor union was not a significant with respect to innovation.