• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.69-76
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• 2017

Recently, it is difficult for a firm to survive and maintain sustainable competitive advantage through internal R&D only, because changes in the environment are very fast and complex. Accordingly, the paradigm of open innovation is gradually emphasized, and the ratio of external R&D has been increasing in various industries. This study analyzed open innovation through Korean Innovation Survey (KIS) data from Science and Technology Policy Institute (STEPI). We confirmed the ratio of open innovation based on firms of the manufacturing industry in South Korea, and examined the relationship between open innovation and innovation performance. This study suggests that open innovation is not a new paradigm that did not exist in the past. While the use of government support programs positively influence innovation performance, the use of external R&D doesn't influence innovation performance due to the difficulties associated with managing it. The results of this study will be used to establish the strategic direction and support the decision making when firms conduct innovation activities in the future.

• Proceedings of the Technology Innovation Conference
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• 2005.08a
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• pp.5-28
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• 2005

This paper estimates the effect of networks on innovative performance at the firm level , using Korean Innovation Survey (KIS) dataset Product innovation, product improvement , and process innovation are used as proxies for innovative activity. The explanatory variables such as firm size, market concentration ratio, lagged profitability, foreign ownership, export ratio, firm's age, formal R&D activity, and industrial R&D intensity are yet other considerations. With two year-long (2000 and 2001) data from 1,124 Korean manufacturing firms, we estimated the logistic regression model. The research finding indicates that the external networks have a strong positive effect on innovative output regardless of type of innovation. However, the network effects by partner (other firms or research institutions) vary across the type of innovation. Especially, we found that the user-supplier linkage plays an important role in product ion innovation, product improvement, and process innovation.

• Journal of Korea Technology Innovation Society
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• v.21 no.2
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• pp.818-837
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• 2018

Technological innovation has inherent difficulties, largely due to the uncertainties of technology. Thus, the forecasting methodology to reduce the risk of uncertainty in the innovation process has been presented both in quantitative and qualitative fields. On the other hand, big data and artificial intelligence have attracted great interest recently, and deep learning, which is one of the algorithms of AlphaGo, is showing excellent performance. In this study, deep learning methodology was applied to the prediction of innovation performance. To make the prediction model, we used KIS 2016 data. The input factors were importance of information source and innovation objectives and the output factor was innovation performance index, which was calculated for this study. As a result of the analysis, it can be confirmed that the accuracy of prediction is improved compared with the previous studies. As learning progressed, the degree of freedom of prediction also improved.

• Knowledge Management Research
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• v.17 no.1
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• pp.49-72
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• 2016

Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.151-163
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• 2013

It goes without saying that the technology innovation plays an important role in the sustainable growth of the firm in the global economy. It, however, is not easy to fulfill this simple and obvious fact. Because there are a lot of barriers hindering innovation activities of firms and innovations are interrupted or don't even attempts by this barriers. So in this paper, I study barriers of firms that try to innovation and how much negative impact exist on firm's innovation performance by that. And also I try to find influence on firm's performance because of declined innovation activities. To prove this, KIS(Korean Innovation Survey) 2008, which was surveyed by STEPI(Science and Technology Policy Institute), is used to find relationships among variables; innovation barriers, innovation activities and firm's performance. In the result, I find that financial barrier influence negatively to the process innovation with small business, capable barrier influence negatively to the process innovation with large business and organizational barrier influence negatively to the process innovation with both small and large business. And, it also appear that organizational barrier has not moderating effect but process efficiency has moderating effect significantly with small business that have more positive effect.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.649-674
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• 2012

The purpose of this study is to investigate the effects of public R&D subsidies on private R&D. We have analyzed rationales for the public R&D subsidy from different perspectives. On the basis of literature review, a two step research model is constructed: participation phase (when firms benefit from public subsidies) and decision phase (when firms make decision on additional R&D investments). Using propensity score matching(PSM) method, we compare the potential outcome of the treated group to a matched controlled group of non-subsidized firms. The data used in this paper was collected from various sources. The Korean Innovation Survey 2008(manufacturing sector) is a main source of data. Financial data such as revenue, asset and capital stock, and number of employees were supplemented from the Nice Information Service KIS Value database. The R&D survey, conducted by MEST(Ministry of Education, Science and Technology) each year, was also used for the R&D expenditures of the manufacturing firms. This study comes up with the following empirical results. First, a firm's innovation capability, financial constraints, and sector appear to influence the selection of firms who were benefited from government's financial supports for R&D. Second, empirical results show that public R&D funding complements private investment on average and appear to have perpetual effects on the following year. Finally, sectoral difference in the effect of public subsidies on firms' R&D investment was confirmed. In addition, SMEs show more positive effects than large firms.

• Journal of Korea Technology Innovation Society
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• v.16 no.4
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• pp.1006-1031
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• 2013

This study investigates the extent to which product innovation is associated with firm performance, and how this effect is moderated by other type of innovation efforts. Empirical analysis is conducted (1) to determine the effect of product innovation on firm performance; (2) to explore the moderating effect that process innovation, organizational innovation and marketing innovation activities each has on the relationship between product innovation and firm performance. The analytical sample comprises a total of 816 Korean manufacturing firms from the 2010 KIS (Korean Innovation Survey) data and merged with financial data from KIS Info for acquiring the objectivity. The results show that product innovation is positively associated with a firm performance. Product innovation when combined with higher levels of process, organizational and marketing innovation activities resulted in higher firm performance. The results suggest that product innovation is a decisive factor of firm performance. More importantly, process, organizational and marketing innovation activities support product innovation and thus impact firm performance indirectly. In addition, this study examines the effect of innovation activities on firm performance by different firm size and R&D intensity, thereby further improving the details of this study.

• Journal of Korea Technology Innovation Society
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• v.20 no.4
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• pp.1192-1211
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• 2017

Today, innovation is driven by the challenge of existing paradigms and by cooperating with many other fields as well as their own, and thus the importance of open innovation is emphasized. This study analyzed the effect of open innovation on innovation activities and examined the role of organizational innovation in various innovation activities. For the analysis, Korean Innovation Survey (KIS) data from Science and Technology Policy Institute (STEPI) in 2016 was used. A total of 1,453 manufacturing firms were selected as a sample and logistic regression was performed. As a result, R&D cooperation has a positive effect on product innovation as the most representative means to acquire new knowledge and technology, while R&D cooperation has no relation with process innovation. In the case of organizational innovation, it strengthens positive effects of R&D cooperation on both product innovation and process innovation. Organizational change can be explained to play a positive role in new innovation activities, and then firms will need to consider organizational innovation in relation to R&D cooperation. This study is meaningful in that it analyzes the causal relationship and role in relation to various types of innovation, and will contribute to the firms to smoothly perform innovation activities in the future.

• Journal of Korea Technology Innovation Society
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• v.16 no.3
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• pp.559-581
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• 2013

Over the last several decades, the service sector has experienced the rapid growth and will continue to grow in importance, stature and job creation potential. Productivity and innovation activities in the service sector have come under the spotlight as an important element of national economic development. Despite the spotlight, however, not many studies have conducted to investigate the characteristics of innovation activities in the service sector, compared to the rich literature on the innovation in the manufacturing sector. One of the distinguishing features of service innovation is that innovation activities differ markedly across services. Therefore, this research purposes to investigate the characteristics of service innovation focusing on the differences across service types. Here, we restrict our focus to technical innovation such as product and process innovation. For the purpose of investigation, firstly, the KIS (Korea Innovation Survey) dataset in the service sector was adopted, which includes information about patterns of innovation in the Korean firms that provide service offerings. Then, service typology was developed by two criteria - customize-based and facility-based - on the assumption that the characteristics of service innovation activities will vary according the these two criteria; the classifies services into four groups the patterns of innovation activities were analyzed with respect to innovation inputs, process, and outputs. The research findings indicate that each service group has its own patterns of innovation activities, providing valuable information about the state of affairs in service innovation, thereby are expected to help further study technology innovation activity in the service sector.

• Journal of Technology Innovation
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• v.12 no.1
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• pp.115-134
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• 2004

In this paper, we tried to find the bottleneck factors of firms' innovative activities using the KIS (Korea Innovation Survey) 2002 data. Employing the method of factor analysis, we identified five bottleneck factors of innovative activities: organizational bottleneck factor, innovative bottleneck factor, economic bottleneck factor, supply-chain bottleneck factor, and market-environment bottleneck factor. Using regression analysis which includes the five bottleneck factors, industry characteristics variables (market concentration, technological opportunity, appropriability), and other control variables, we found (1) that all the five bottleneck factors are negatively related with innovative activities, (2) that technological opportunity and appropriability conditions are positively related with innovative activities, (3) that there is an inverted-U relationship between market concentration and innovative activities, and (4) that firm size has no significant influence on firms' innovative activities.