• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.171-180
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• 2023

This study is to develop a performance analysis model for SMEs.Based on similar performance indicators through previous studies, performance indicators for SMEs were rewritten.Through the Korean Journal Citation Index (KCI), 75 related data were classified and a comprehensive SME performance analysis model was developed.Performance analysis was divided into two axes and classified into tables.The horizontal axis is the spatial performance range, which is divided into three areas: performance management by department/function, integrated performance management for the entire organization, and governance performance management requiring policy feedback. The vertical axis is subdivided into short-term, mid-term, and long-term by time and growth stage, and is divided into three parts: technical performance according to technological input, economic performance as organizational performance, and social performance for policy utilization. Then, performance indicators were mapped to each column. As a result of the survey, 28% of technical performance was analyzed as a result of frequency analysis, and performance indicators were organized into five categories: IT, R&D, certification, patent, and innovation. Economic performance was divided into 29%, BSC, HRD, logistics, production quality management, financial support, asset management, etc. 6 categories, social performance 43%, ESG, marketing, export, policy support, consulting, cooperation, etc. 7 categories.Limitations of the study include the narrowness of the survey that derived only performance indicators despite being a meta-analysis, and the performance model was mapped and classified according to growth stage and support period.however Insufficiency of validity due to lack of evidence, performance indicators were developed, but there were limitations in utilization for practical use.

• The Journal of Industrial Distribution & Business
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• v.15 no.7
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• pp.19-28
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• 2024

Purpose: The objective of this research was to investigate how blockchain ventures can optimize their wealth through Initial Coin Offerings (ICOs). Drawing upon signal theory, this study examined the impact of technological capabilities on the performance of ICOs in blockchain ventures. Given the highly technical nature of companies involved in ICOs, the technical proficiency of venture companies can have a significant influence on the success of ICOs. Specifically, three potential indicators of technological capability - patents, white papers, and source code - were analyzed. Research design, data and methodology: To accomplish this, a database was constructed by coding the relevant variables from various sources for 514 companies that launched ICOs. This study conducted hierarchical regression analysis for the hypotheses test. Results: The results indicated that a blockchain venture with a patent had a positive effect on the performance of the ICO. Additionally, publishing source code had a positive impact on ICO performance. Conclusions: This study identifies crucial factors for ICO success, emphasizing the importance of technological capabilities. Companies should enhance these to boost investor confidence, transparency, and outcomes. This research offers valuable insights for businesses and policymakers in the evolving cryptocurrency market, aiming to maximize ICO performance and success.

• Journal of Technology Innovation
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• v.24 no.2
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• pp.57-89
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• 2016

This paper used individual establishment level data to estimate the effects of government support for the research and development of 'small and medium enterprises'(SMEs). We analyzed, on the establishment level, the degree of technical advancement, strength of private R&D incentives, and the effect on employment levels of firms which participated in the 2010 government R&D support project. The results of this study are as follows. First, the size and frequency of government investment in the R&D of SMEs were both positively correlated with the amount of patent registrations. Furthermore, we found that the amount of patent registrations were positively correlated with the size of the establishments, but the average level of technological advancement for the firms running the research was lower than the average level of technological advancement for the firms merely participating in the project. Second, the government's R&D policy was found to be complementary to private R&D incentives, and a 1% increase in government R&D investment resulted in an inelastic increase (0.193~0.245%) of the firms' post-program R&D spending. Third, we found that R&D support from the government contributed to an increase of employment by the participating firms. Additionally, we found that the impact of R&D support on job creation varied for the firm size and technological characteristics. Therefore, it is important for governments to take into consideration each type of small business, when setting R&D policies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.145-154
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• 2017

Technology innovation is regarded as the quintessential process to acquire a competitive advantage. This is especially true in high-tech industries, and firms that recognize the importance of technological innovation concentrate their capacities on developing new technologies, new products, and new processes. In general, such research requires many resources, but not all technological breakthroughs are followed by positive feedbacks. Consequently, the firms in high-tech industries are compelled to find new directions in acquiring technologies. This study examines the factors that influence technological innovation and empirically tests the effect these factors have on its diffusion. Radicality, discontinuity, and exploitation/exploration were selected as the factors from the previous literature on technological innovation and organizational learning. For the empirical test, patent data from the US semiconductor industry were used to describe innovation activities from various fields. From the result, these three factors (Ed- is this what you mean, i.e., radicality, discontinuity, and exploitation/exploration?)were found to have significant meaning as proxies for the diffusion of technological innovation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.597-606
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• 2020

Because the USV(Unmanned Surface Vehicle) is capable of remote control or autonomous navigation at sea, it can secure the superiority of combat power while minimizing human losses in a future combat environment. To plan the technology for the development of USV, the trend analysis of related technology and the selection of promising technology should be preceded, but there has been little research in this area. The purpose of this paper was to measure and evaluate the technology trends quantitatively. For this purpose, this study analyzed the technology trends and selected promising/declining technologies using topic modeling of papers and patent data. As a result of topic modeling, promising technologies include control and navigation, verification/validation, autonomous level, mission module, and application technology, and declining technologies include underwater communication and image processing technology. This study also identified new technology areas that were not included in the existing technology classification, e.g., technology related to research and development of USV, artificial intelligence, launch/recovery, and operation, such as cooperation with manned and unmanned systems. The technology trends and new technology areas identified through this study may be used to derive key technologies related to the development of the USV and establish appropriate R&D policies.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.279-302
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• 2013

This paper empirically examines the effect of government R&D support on the performance of the firm in Korea. In particular, we examine to what extent the government R&D support affected the firm's exploratative performance. Using a novel dataset combining patent information with national government R&D funding data and firm performance indicators from 2005-2008, we construct and run an empirical model where a firm's exploratative activity, measured by a firm patenting in a different field, is a function of the government R&D support a firm receives. The empirical results show that the government R&D support has a positive effect on the firm's exploratative activity. Especially, this effect is stronger for the small and medium size firms, while large firms are relatively relying on their own R&D funding for exploration. This result indicates that the government needs to focus more on R&D funding for small and medium size firms, if it wants more exploratative outcomes to enhance potential resources for economic development.

• The Journal of the Korea Contents Association
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• v.11 no.3
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• pp.339-350
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• 2011

This study empirically investigates applicable possibility of open technology innovation with which the government is concerned, by figuring out the relationship between firms' innovation behaviors and innovation outputs and their utilization of information network. Empirical methodology was employed as logit regression to explain firms' innovation behaviors and the data set includes more than 2500 firms in the manufacturing sectors. First, empirical findings showed that firms' innovation competencies and behaviors can be explained as the trend of patent application, sales and innovation outputs significantly. The patents of small and medium-sized businesses are inclined to be positive to information sources of university and government-supported research institute and the sales increased when they had labs to concentrate on R&D. On the other hand, the existence of labor union turn out to be negative to their sales. Second, the types of information network which firms utilize turned out to be connected with their innovation behaviors and purposes. Third, four types of innovation, i.e., product, process, organization, and marketing innovation was employed and innovation behaviors and outputs are well connected.

• Journal of the Korean Society for Marine Environment & Energy
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• v.17 no.3
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• pp.236-246
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• 2014

Deep Sea Water (DSW) has recently drawn attention due to the considerable benefits provided by low-temperature, various minerals included, purity and safety of the water resource. Since Korean DSW-industry initiated exploitation of the alternative water resource in 2008, it merely took off, but remains in the infant stage. It is mainly because the industry has only focused on production of drinkable bottled water, and failed to improve sustainability and competitiveness. On the contrary, not a few oversea DSW industries (e.g. Japanese and Taiwanese DSW industries) have successfully cultivated their markets, and have become leading cases of the industry. The common success factors learned from the cases are as follows; 1) They continuously invest on technology innovation, introduce new DSW-based products, and increase the usability of DSW in various areas of products and services, and 2) they strategically focus on high value-added products rather than just bottled water products. This paper examines the cases of the advanced DSW industries and analyzes patent data and their technology-based development strategies.

• Journal of Korea Technology Innovation Society
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• v.10 no.4
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• pp.629-653
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• 2007

Korean government drives various programs to improve the performance of university-industry cooperation since 1998 such as BK 21(Brain Korea), NURI(New University for Regional Innovation), Connect Korea Program, and so on. We analyse the relationships between performance of university-industry cooperations and university competency factors(research competency and management competency) through multi-regression model, and propose policy implication. We used the basic data related to the performance of university-industry cooperation and university competency factors from Korean 61 universities. We set up some hypotheses and try to verify them with the method of multi-variable regression analysis including dependent variable(licensing fee, the number of technology transfers, the number of spin-offs) and independent variables(research competency, management competency). We, through this analysis, find both the research competency variables and management competency variables are significant to the performance of university-industry cooperation. Firstly, for licensing fee and the number of technology transfers, research competency variables such as the number of SCIE papers, the number of patent registration were significant, but management competency variables such as the scale of technology leasing organization, the number of specialist were not significant. Secondly, for the number of spin-offs management variables are significant, but research competency varialbles are not. These results imply that both the research competency and management competency of universities are the critical factors for the effective commercialization of university technology not only in United States but also in Korea. In the conclusion, we propose government drive university-industry cooperation policy to enhance the quality of research papers and patent as well as management capabilities of technology leasing organization.

• Journal of the Korean Regional Science Association
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• v.37 no.3
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• pp.3-18
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• 2021

The fourth Industrial Revolution is transforming the industrial structure of the region, and it is necessary to develop new industries and technologies that reflect regional characteristics. The purpose of this study is to measure the knowledge relatedness and technological complexity in Busan, Ulsan, and Gyeongnam, and to identify technologies with potential for regional industrial differentiation strategies. Using patent data from 2015 to 2019, co-occurrence matrices were derived from 652 IPC codes, and the knowledge relatedness density and technology complexity index were calculated. Network analysis was performed using the knowledge relatedness density. As a result of analysis, it was found that mechanical engineering occupied a large proportion, followed by chemistry and electrical engineering. As a result of applying the risk-benefit framework to derive technologies with the potential to differentiate local industries, the technological capabilities of low-risk-high-benefit were different. Among mechanical engineering, technologies such as engine, machine operation, and transportation were included in Busan. In Ulsan, environmental technology in chemical and materials, and heat treatment technology in mechanical engineering were technologies with low-risk and high-benefit capabilities. Gyeongnam showed competence in mechanical engineering, chemistry, and electrical engineering in some areas such as Gimhae, Yangsan, and Changwon. The results of this study are meaningful in that they identified technologies with potential for selecting and deriving strategic industries for regional growth based on latent knowledge in the region.