• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.427-434
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• 2018

As noted by Pavitt (1984) and Malerbar (2002), previous studies have focused on identifying differences in industry characteristics between the machinery industry and other manufacturing industries. This study considered quantitative and qualitative aspects of performance of product innovation in analyzing what factors determine those outcomes. In particular, this study examined stepwise selection processes embedded in innovation activities by applying a hurdle negative binomial model as well as the Heckman two-step selection model. Results show that factors affecting performance improvement and patents differ, and the threshold effect and the intensity effect of innovation were also distinguished. These results imply that the R&D capability should be enhanced and external innovation is required to be effectively embodied in the organization. Furthermore, motivating employees plays a pivotal role in this technology and skill-intensive sector.

• The Journal of Small Business Innovation
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• v.19 no.2
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• pp.53-68
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• 2016

Motivation and activities for technological learning, entrepreneurship, innovation, and creativity are driving forces of economic development in Asian countries. In the early stages of technological development, technological learning and entrepreneurship are efficient ways in which to catch up with advanced countries because firms can accumulate skills and knowledge quickly at relatively low risk. In the later stages of technological development, however, innovation and creativity become more important. This study aims to identify a) the factors (learning capabilities) that influence technological learning performance and b) barriers to enhancing innovation capabilities for the creative economy and organizations. The major part of this study is related to learning capabilities in the post-catch-up era. Based on a literature review and observations from Korean experiences, this study proposes a technological learning model composed of various influencing factors on technological learning. Three hypotheses are derived, and data are collected from Korean machine tool manufacturers. Intense interviews with CEOs and R&D directors are conducted using structured questionnaires. Statistical analysis, such as correlation and ANOVA are then carried out. Furthermore, this study addresses how to enhance innovation capabilities to move forward. Innovation enablers and barriers are identified by case studies and policy analysis. The results of the empirical study identify several levels of firms' learning capabilities and activities such as a) stock of technology, b) potential of technical labor, c) explicit technological efforts, d) readiness to learn, e) top management support, f) a formal technological learning system, g) high learning motivation, h) appropriate technology choice, and i) specific goal setting. These learning capabilities determine firms' learning performance, especially in the early stages of development. Furthermore, it is found that the critical factors for successful technological learning vary along the stages of technology development. Throughout the statistical and policy analyses, this study confirms that technological learning can be understood as an intrinsic principle of the technology development process. Firms perform proactive and creative learning in the late stages, while reactive and imitative learning prevails in the early stages. In addition, this study identifies the driving forces or facilitating factors enhancing innovation performance in the post catch-up era. The results of the preliminary case studies and policy analysis show some facilitating factors such as a) the strategic intent of the CEO and corporate culture, b) leadership and change agents, c) design principles and routines, d) ecosystem and collaboration with partners, and e) intensive R&D investment.

• Journal of Information Technology Services
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• v.19 no.6
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• pp.97-117
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• 2020

Five years have passed since the introduction of the smart factory amid the new opportunities for growth and job creation in relation to domestic manufacturing companies. Nevertheless, there is a lack of analysis on SMEs introduction smart factories. This study empirically analyzed the effects on the introduction of smart factories of domestic metal processing SMEs by distinguishing the characteristics of enterprises In this study, 103 companies which introduced smart factories and another 106 companies which did not introduce them were sampled. The Introduction of the Smart Factory was analyzed by four categories such as the Company characteristics (R&D capability, product production capability, organizational change), entrepreneur characteristics (risk sensitivity), relational characteristics (trust, dependence, cooperation, Influence), and structural characteristics (competition). As a result of the research, we found out product production capacity, risk sensitivity, trust and cooperation, Influence, and competition are statistically significant in the introduction of smart factory. But competition was characterized by a negative (-) sign opposite to the hypothesis. This study is meaningful in that the scope of the analysis has been expanded by analyzing whether smart factory was introduced or not considering the characteristics of the company. And there should be continuous research on its utilization as well as the introduction of smart factory.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.5
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• pp.442-450
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• 2014

Technology opportunity discovery (TOD) based on technological capability is a process which identifies new product and technology items that can be developed by utilizing or improving a firm's existing products or technologies. By taking into consideration the investment risk of R&D and its practicality, developing technological capability-based TOD methodology is considered to be important for both business and research. To this end, we propose a technological capability-based TOD method and its system using TOD knowledge base. The method can support four types of TOD cases, which are based on a firm's existing technologies and products, and TOD knowledge base is developed by using function information extracted from patent documents. In this paper, we introduce the overall framework of the method and provide application examples on the four TOD cases using the prototype system.

• Journal of Korea Game Society
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• v.15 no.1
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• pp.115-124
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• 2015

This research analyzed the case of Ncsoft to study the organizational learning, exploitation and exploration that create dynamic capability in hypercompetitive environment. First of all, we demonstrated the activities of exploitation and exploration in Ncsoft according to the life cycle of online game industry. An exploitation related to routine, learning and fit with existing environment brings about incremental innovation. In contrast, an exploration associated with non-learning, flexibility with changing environment results in radical innovation. We examined them based on the life cycle of its various game services. NCsoft that built the leading position in online game industry focused the exploitation activities at the stage of beginning period and growth, whereas NCsoft has increased the activities of exploration at period of mature. In addition, the firm conducts an exploration for its brand new game services and R&D. Conversely, An exploitation is conducted for sustainable updating of patch service and marketing and system building. The result implies that online game companies create sustainable competitive advantage using the balance between exploitation and exploration.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.5
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• pp.2110-2116
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• 2012

This research focused on the strategy formulation for the development of the innovation cluster in Gyeonggi Province - 'Pankyo & Gwanggyo Technovalley'. The study was performed based on both theoretical study and quantitative & qualitative study approaches. Particularly, questionnaire survey was used for the diagnosis of the developmental stages of the innovation clusters. The major determinants for the development of the innovation cluster in Gyeonggi Province can be summarized as follows; the establishment of S&T based host institution, the gradual enlargement of the role of host institution and the enhancement of the network capability of innovation clusters. In terms of the needs of times, this study regarding the strategy for the development of the innovation clusters is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3477-3485
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• 2012

This research focused on the cluster analysis for the vitalization of the innovation cluster, Gwanggyo Technovalley. The study was performed based on both theoretical study and quantitative and qualitative study approaches. Particularly, questionnaire survey was performed for the cluster analysis of the innovation cluster. The major determinants for vitalization of the innovation cluster, Gwanggyo Technovalley can be summarized as follows; the strategy formulation for the development of the innovation cluster, the enhancement of the host institution capability and gradual enlargement of the role of the host institution. In terms of the needs of times, this study regarding the cluster analysis for the vitalization of the innovation cluster, Gwanggyo Technovalley is anticipated to be a good reference for the R&D organizations and technology cluster participants in coming years.

• Industry Promotion Research
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• v.8 no.1
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• pp.69-82
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• 2023

This study verified the effect of R&D capabilities and resource allocation capabilities on technology commercialization capabilities and the effect of technology commercialization capabilities on product performance. The effect of technology commercialization capability was verified by using commercialization speed, market scope, and technology breadth as variables. A survey was conducted for employees of SMEs companies, and the model and hypotheses of the study were verified using SPSS 25 and Smart PLS 3.0. It was confirmed that R&D capabilities and resource allocation capabilities had a significant effect on technology commercialization capabilities, and technology commercialization capabilities had a significant effect on the company's product performance. Through the results of this study, strengthening a company's R&D capabilities and resource distribution capabilities from a resource-based perspective expands technology commercialization capabilities such as commercialization speed, market scope, and technology breadth, and strengthening technology commercialization capabilities affects product performance of a company. It is meaningful in providing implications for the commercialization performance of companies by revealing the impact.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.323-345
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• 2013

In this paper, problems with the Korean system regulating the use of university royalties are identified and investigated in order to suggest measures to improve the system in a way that provides a better R&D environment at universities. The Delphi technique was used to gather data from royalty specialists at universities and government ministries. The first Delphi survey conducted used open questions to identify problems in the use of university royalties. Then, closed questions were used for the second Delphi survey. The number of responses and the frequency of answers were analyzed after the first survey, and validity, stability, and reliability analyses were conducted for the second survey. The measures suggested to improve the system regulating the use of university royalties are as follows: First, bonuses for researchers, which are currently 50% or more of collected royalties, need to be decreased, as they are rather high compared to similar bonuses in developed countries, which are around 30% of collected royalties. The guideline for limiting the bonuses, which is explained as XX% or less of collected royalties, is suggested to prevent the excessive use of royalties. Second, rewards for those who contribute to technology transfer and commercialization should be increased. It is also important to build a consensus around the need to reward those who contribute to technology transfer and commercialization. Third, the scale of re-investment into R&D needs to increase. Regulations on royalties should be meaningfully applied to create a positive feedback structure for R&D, which can be described as the process of research, R&D outcomes, technology transfer, collecting royalties, rewarding researchers, and re-investing in R&D. To build a university's R&D capability, re-investment into R&D needs to be regularized as XX% or more of royalties. Fourth, regulations on the royalties of ministries and universities need to be unified. Each category for using royalties needs to be regularized, with detailed matters such as the guideline, process and method for using royalties specified. Also, universities need to make their own specific regulations. Fifth, specific priorities on the use of royalties need to be suggested. Regulation is necessary for the categories that do not have guideline and priorities for the use of royalties. It is hoped that the findings of this research will contribute to reinforcing the R&D capability of universities.

• Journal of Korea Technology Innovation Society
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• v.14 no.4
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• pp.1024-1049
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• 2011

Korea has accomplished rapid industrial development based on the manufacturing industry. However, the growth potential has been slowing down lately due to some reasons including low employment creation rates. Also, competitions in the manufacturing industry with China and developing countries in Asia are constantly intensified. Advanced countries maintain economic growth based on the competitiveness secured by changing its industrial structure into service oriented economy. Accordingly Korean government announced various policies to promote service industry and stimulate R&D activity for the advancement of knowledge based service industry. For promoting R&D of private firm, R&D center accreditation system for knowledge based service firm is going to be introduced. However, the accreditation system needs to be revised because it was established based solely on manufacturing business. Under the existing system, subject firms for government support are selected based on R&D activities. However in service area, the difference between R&D activity and business activity is indistinctive due to its nature so that the range of subject firms can be expanded too much. So it is more practical to select major service businesses and operate the system with selected businesses. There also should be proper logic to select major service business from the whole service businesses. We have to consider Koean industrial structure which is heavily dependent on manufacturing business and has weak competitiveness in service business when preparing the logic. In this paper, we study how to set up the range of service business and the requirements for R&D center accreditation. For this, this paper analyzed the ripple effect on the economy of service businesses based on input-output analysis, R&D activity and capability to put the resource for R&D. Based on the analysis result, we suggest methods to screen subject companies for R&D center accreditation among service business and present possible measures on manpower and physical requirement for service industry's R&D center accreditation system.