• KDI Journal of Economic Policy
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• v.37 no.1
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• pp.44-72
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• 2015

This study evaluates the economic impact of product innovation by using firm-level data from the Community Innovation Survey conducted in Japan. It accounts for possible technological spillover from innovation activities and examines the extent to which new-to-market product innovations contribute to firm performance. Econometric analysis using a simultaneous equation model reveals that new-to-market product innovation is likely to increase a firm's sales without cannibalizing those of existing products and generate more technological spillover to other firms. Moreover, such innovation is more likely to emerge from firms collaborating with academic institutions. The paper concludes by discussing policy implications of these findings as well as points to the importance of cross-country comparison between Korea and Japan.

• Journal of Distribution Science
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• v.15 no.6
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• pp.13-24
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• 2017

Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.

• Journal of Digital Convergence
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• v.7 no.2
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• pp.1-12
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• 2009

This study explored which the component factors on innovation brand to building an organizational culture of government. The innovation brand perception of organizational officers are in order brand awareness(recognition, discrimination) and brand loyalty(identification, ease of memory, meaning diffusion, the reaction of customer needs), brand salience, brand knowledge and brand innovation. The result of Importance-Performance analysis are as follows. We can see that Brand loyalty have Quadrant I meaning good management implementation. Brand Knowledge have Quadrant II meaning concentrate improving. Brand Uniqueness have Quadrant III meaning improving. And Recognition, familiarity and salience have Quadrant IV meaning low relative importance and high performance. The Quadrant IV consider the cost and benefit of brand management.

• STI Policy Review
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• v.3 no.2
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• pp.1-46
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• 2012

The paper assesses the innovative performance and challenges that a small innovative country like Sweden faces in an era of intense global competition. We contrast innovative performance with similar countries in Europe as well as discus the reliability and validity of indicators used to shape policy development. The conclusion from the analysis shows that available input-output indicators must be used with some caution. Even if the supply and quality of indicators has increased for policy analysis, they still lack precision and validity to make broad claims about the innovative performance of companies and nations. It is argued that understanding knowledge flows (rather than simple input-output metrics) are a key to understand innovation processes for small countries at the innovation frontier; subsequently, small countries will have to abandon failed policy orthodoxies in order to cope with future policy challenges.

• The Journal of the Korea Contents Association
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• v.13 no.5
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• pp.377-386
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• 2013

The purposes of this study is to examine the effect of fitness Among Characteristics of CEO, Company's innovation and Management Control on Organization Performance. CEO characteristics are investigated by the risk-taking propensity, need for achievement. Company's Innovation are measured by product innovation, technological innovation. Management control are applied by action control and result control. Organization performances are analyzed by internal performance, growth performance, financial performance. the research methodology applied in this paper is contingency theory by Drazin and Van de Ven(1985) - selective approach, Interaction approach, system approach. This paper was applied by the Three way interaction term among CEO characteristics, Company's Innovation and Management control to analyze the influences to the organization performances. As a result of this paper, there are the differences between Two way interaction terms or three way interaction terms to affect the organization performances. this paper can confirm the desirable combinations between two or three variables(CEO characteristics, Company's Innovation and Management control) to affect significantly to the particular organization performance.

• Journal of the Korea Safety Management & Science
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• v.16 no.1
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• pp.177-189
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• 2014

The objective of the present study is to analyze the relationship of suppliers and customer participation in product development process and effects of such participation on product innovation since it is getting more and more weight in manufacturing companies. It is also aimed in this study to explore if business performance of manufacturing companies might be affected by the suppliers participation as well as product innovation that is realizable by such participation. From the analysis, following conclusions could be drawn: First, suppliers participation in manufacturing companies turned out to have influence upon product innovation (standardized coefficient=0.193, C.R=3.510), implying that nothing is more important than the role of suppliers who have intention to realize innovation through participation in manufacturing companies. Second, the analysis showed that customer participation exercised impact upon product innovation of manufacturing companies (standardized coefficient=0.686, C.R=6.433), suggesting that the more customer participate in product development process of manufacturing companies, the more manufacturing companies could sharpen their competitiveness. Third, it was made known from the analysis that the product innovation thanks to suppliers and customer participation in manufacturing companies could have influence upon their business performance (standardized coefficient=0.762, C.R=7.666), signifying that the product innovation of manufacturing companies might depend on the participation of suppliers and manufacturers and, in turn, could affect their own business performance.

• 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.

• Journal of Information Technology Applications and Management
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• v.31 no.2
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• pp.15-34
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• 2024

This study aims to analyze the effect of absorptive capacity on technology collaboration performance and the moderating effect of innovation intermediaries. We set absorptive capacity (potential, realized) as independent variables and technology collaboration performance (relative technology level, development period, cost savings, new product development, collaboration satisfaction) as dependent variables, with innovation intermediaries as a moderating variable. We conducted a survey of 145 ICT companies that experienced technology collaboration and analyzed the data using 101 valid responses. The results show that potential absorptive capacity has a significant effect on new product development and collaboration satisfaction, while realized absorptive capacity has a significant effect on relative technology level, cost savings, and new product development. Furthermore, innovation intermediaries have a moderating effect between realized absorptive capacity and new product development. The contribution of this study to academia and industry is that it highlights absorptive capacity as a key factor influencing technology collaboration performance. The limitations of this study include the lack of accurate measurement of absorptive capacity and innovation intermediaries, as well as a lack of control over external factors. These limitations should be addressed through more in-depth research by systematically defining and measuring them in future follow-up studies.

• Journal of Technology Innovation
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• v.26 no.2
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• pp.37-68
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• 2018

This study examines the effects of entrepreneurial orientation and external oriented organizational culture on the firm perfornamance focusing on mediating effects of open innovation. The survey was conducted on Korean manufacturing firms with 100-5,000 employees among listed companies and external auditing companies. The validity of the research model and hypotheses was verified through analysis of structural equation model for 283 valid responses. Empirical results show that entrepreneurial orientation positively affects both open innovation and firm's performance. The external oriented organizational culture of firms appears to be positive effects on open innovation, but the effect between the external oriented organizational culture and firm's performance shows no statistical significance. Open innovation have positive effects on firm performance. In addition, a test for mediation effects of open innovation reveals that a full mediation exists between the external oriented organizational culture and firm's performance, while there is a partial mediation effect between entrepreneurial orientation and firm's performance. This study contribute to the literature by deepening understanding on the open innovation. We propose an integrated model for examining antecedent factors, open innovation and performance.

• 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.