• STI Policy Review
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• v.8 no.2
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• pp.75-93
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• 2017

Recently, global competition in the manufacturing sector is driving firms in the manufacturing sector to conduct product innovation projects to maintain their competitive edge. The key points of product innovation projects are 1) what the purpose of the project is and 2) what expected results in the target market can be achieved by implementing the innovation. Therefore, this study focuses on the performance of innovation projects with a business viewpoint. In this respect, this study proposes the "achievement rate" of product innovation projects as a measurement of project performance. Then, this study finds the best strategies from various innovation activities to optimize the achievement rate of product innovation projects. There are three major innovation activities for the projects, including three types of R&D activities: Internal, joint and external R&D, and five types of non-R&D activities - acquisition of machines, equipment and software, purchasing external knowledge, job education and training, market research and design. This study applies decision tree modeling, a kind of data-mining methodology, to explore effective innovation activities. This study employs the data from the 'Korean Innovation Survey (KIS) 2014: Manufacturing Sector.' The KIS 2014 gathered information about innovation activities in the manufacturing sector over three years (2011-2013). This study gives some practical implication for managing the activities. First, innovation activities that increased the achievement rate of product diversification projects included a combination of market research, new product design, and job training. Second, our results show that a combination of internal R&D, job training and training, and market research increases the project achievement most for the replacement of outdated products. Third, new market creation or extension of market share indicates that launching replacement products and continuously upgrading products are most important.

• Journal of Korea Technology Innovation Society
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• v.19 no.3
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• pp.634-657
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• 2016

This study analyzes relationship between utilizing patents and trade secrets of firms empirically by using Koran Innovation Survey data. A number of prior theoretical studies have been discussed by assuming the patents and trade secrets used as alternative mutual relations. However, the use of patents and trade secrets can be used as a complementary and alternative methods generally based on a variety of firm and innovation characteristics. In this study, after controlling for nature of businesses, industry and innovation, the relationships between patent and trade secrets were analyzed by using 2005, 2008, 2010, 2012 and 2014 cross-sectional data. Prior to 2010, the relationship of patents and trade secrets was used as a complementary, while the result of 2014 showed that patents and trade secrets were utilized by firms independently. However, because we couldn't completely rule out the possibility that this result is caused by the difference between surveys, we performed a additional analysis. In conclusion, the independent relationship between patents and trade secrets may be caused by the increased number of patent applications and preference for the patent by firms since 2010.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.1-13
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• 2014

This study examines the relationship between firms' external search strategy and their innovation performance. In addition to revisiting the relationship between open search strategy and product innovation, we further extend the impact of use of external knowledge sources to process and organizational innovation. Using the 2010 Korean Innovation Survey (KIS) of manufacturing firms, we report that on average, venture firms search more widely (external search breadth) and deeply (external search depth) across a variety of external search channels than non-venture firms. We then further explore the impact of venture and non-venture firms' use of external search strategies on innovation performance. We find that both searching widely and deeply increase the likelihood of non-venture firm's successes in product, process and organizational innovation. Similar results can be found for the venture firm's success in organizational innovation. However, only searching deeply increases the likelihood of venture firms' success in product and process innovation.

• Journal of Korea Technology Innovation Society
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• v.14 no.3
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• pp.405-430
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• 2011

I examine what factors influence a firm's openness to external sources of knowledge in the Korean manufacturing sector. Related literature suggests a firm's appropriability strategy, absorptive capacity, technology entrepreneurship, firm size and industry-level technological opportunities as possible determinants. Using Korean Manufacturing Innovation Survey, I test how these factors influence the degree of openness of Korean manufacturing firm. I find the followings: First, when the appropriability strategy becomes tighter, a firm becomes more open to external sources. Second, when the share of highly educated employees increases, a firm becomes more open. Third, when a firm is a technology entrepreneur, the openness increases. Fourth, a large firm is likely to be more open. Lastly, ample technological opportunities increase the openness. In Korean manufacturing industries, the highly educated employees and technology entrepreneurship are more influential factors for a firm's openness.

• Korea Journal of Hospital Management
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• v.21 no.2
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• pp.50-62
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• 2016

The study was conducted to compare organizational innovation depending on the leadership type of middle managers in general hospital. Moreover, the study was also to prove whether employees'readiness causes any differences to the link between leadership and organizational innovation. The result is based on 769 sheets of survey paper answered by administrations and nurses working at general hospitals or the same level of hospitals located in the metropolitan area. The methods of analysis used are as follows: reliability analysis, frequency analysis, t-test, ANOVA, multiple regression analysis, and hierarchical regression analysis. Main results of the study can be summarized as below. First, by analyzing the influence of task-behavior leadership on organizational innovation, R squre on knowledge management which is organizational innovation factor was 12.5%, R squre on creativity was 9.1%, and R squre on innovation behavior was 10.3%. Regression model appeared to be statistically significant as well. Both task-behavior and relationship-behavior leadership have influence on organizational innovation and it is learned that relationship-behavior leadership has a bigger influence on all the organizational innovation factors. Second, moderating effect of the employee's readiness is examined in terms of the link between leadership and organizational innovation. As a result, the member's readiness had positive influence when it comes to the link between leadership and organizational innovation. Also, after verifying moderating effect of readiness (ability/willingness), this study shows that ability readiness has positive influence on the link between task-behavior(or relationship-behavior) leadership and creativity, and innovation behavior while willingness readiness positively influences the link between task-behavior(or relationship-behavior) leadership and creativity & innovation behavior. To summarize results of the study, this study shows that the members who possess high readiness also have high organizational innovation, which promises their positive role in a group.

• 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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• 2002.06a
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• pp.238-256
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• 2002

Competitiveness of a nation can be explained by the concept of national innovation systems(NIS). As components of NIS, industry clusters become the issue in analysing innovative activity of an economy. Innovative clusters can be identified by the innovation survey or other economic activity data. Input-output Table was used widely as a tool for quantitative analysis, This paper classifies seven clusters in Korean industry based on inter-industries trade of intermediary goods and services, Maximizing procedure method is used in analysing input-output table. Identified clusters are Textiles/chemicals, Construction/Material, Instrument/Equipment, Automobile, Services, Energy, and Agriculture/Food cluster, Among these clusters, some different characteristics in R&D portfolios are detected. R&D investment characteristics of each cluster give us significant implications in understanding innovative dynamics of Korean industry.

• Asia-Pacific Journal of Business
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• v.7 no.2
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• pp.77-92
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• 2016

The purpose of this study is to examine the effect of CEO's entrepreneurial orientation on innovation performance and business performance, and the mediating effect of innovation performance on the relationship between entrepreneurial orientation and business performance in small and medium-sized venture-enterprises (SMEs). To test the hypothesized relationships, we have conducted a survey of Korean SMEs. After excluding unanswered and untrustful item questionnaires, the final sample size for this study is 110 SMEs. The major findings of the empirical research are as follows. First, CEO's entrepreneurial orientation had apositive influence on innovation performance of a firm. Second, CEO's entrepreneurial orientation was positively related to business performance of a firm. Third, innovation performance had the partial mediating effect on the relationship between CEO's entrepreneurial orientation and business performance of a firm. That is, this result indicates that CEO's entrepreneurial orientation indirectly effects on business performance through innovation performance. Based on these findings, implications of the research findings are discussed, and recommendation for future research are provided.

• Journal of Technology Innovation
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• v.23 no.2
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• pp.81-100
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• 2015

The aim of this study is to investigate the effect of factors hampering innovation on firm's R&D cooperation. We classify the obstacles to innovation into lack of money and information, and also distinguish between horizontal cooperation and vertical cooperation. We argue that different obstacles have a differential effect on the types of R&D cooperation. We examined the hypotheses using KIS (Korea Innovation Survey) data. The results show that deficiency of information is positively related to both vertical and horizontal cooperation, however, lack of money is not related to firm's R&D cooperation. Based on these findings from Korean manufacturing firms, the implications of the results and future research directions are discussed.

• Industrial Engineering and Management Systems
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• v.14 no.3
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• pp.236-247
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• 2015

This study aims to examine the effects of industrial clustering and manufacturing flexibility on innovation capability and operational performance. This study follow a survey method to collect data pertaining to the phenomena of industrial clustering, manufacturing flexibility, innovation capability, and operational performance by utilizing a single respondent design. A total of 124 Indonesian manufacturing SMEs are taken to test the proposed theoretical model by utilizing covariance-based structural equations modeling approach. It was found that both industrial clustering and manufacturing flexibility was positively associated with operational performance and innovation capability as well. In addition, innovation capability may account for the effects of industrial clustering and manufacturing flexibility on operational performance. This implies that manufacturing SMEs have to reorient their production and operation perspectives, including agglomerate with other similar or related SMEs to develop and utilize their own resources. The SMEs also need to possess some degree of manufacturing flexibility in respond to the uncertain environment and market changes. In addition, the SMEs should put a greater emphasize to use industrial cluster and manufacturing flexibility benefits to generate innovation capability to achieve high performance.