• Journal of Technology Innovation
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• v.27 no.3
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• pp.1-26
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• 2019

The Korean economy has undergone growth based on manufacturing end products. The Korean government aims to advance industry by strengthening the materials and components industry, which is attracting more attention in terms of maintaining the competitiveness of existing key industries, and fostering new industries required in the era of the Fourth Industrial Revolution. Despite this importance, there is insufficient related research on the efficient R&D of the materials and components industry. This study analyzed the R&D efficiency. In addition, exploratory research was conducted on the impact of corporate size and type of cooperation on R&D efficiency. Output variables were set to reflect economic performance and the empirical analysis revealed that overall R&D efficiency is low. Small firms were found to perform better than large firms in terms of firm-size, and the efficiency of business-university-research cooperation is worse than other types of cooperation. This study is exploratory research considering the materials and components industry, and the results provide implications for research institutions and regarding types of cooperation. This is expected to help develop polices for qualitative growth and R&D strategies for investment and allocation.

• Journal of Technology Innovation
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• v.21 no.2
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• pp.85-113
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• 2013

This study analyzes the government-funded research institutions as players which derive inner transition based on technology, policy and market environment changes. In this study, the main case is KRICT(Korea Research Institute of Chemical Technology) which tries to make post catch-up innovation in the organization. This institution has attempted to overcome the limitation such as change of technology paradigm and PBS(Project Based System) since 2000's. Responding to the needs of technology convergence and innovation by the paradigm change, KRICT has reformed organization and R&D management system prospectively. And this institution sets the goal like development of natural friendly technologies, small and medium-sized business support, and providing countermeasures of social problems. This case shows possibility of continuous innovation. There are some structural limitation like budget restriction, multiple organization structure, and biased quantitative assessment, but endogenous efforts of government -funded institutions make the new paradigm of post catch-up innovation.

• Journal of Technology Innovation
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• v.22 no.2
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• pp.1-30
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• 2014

Offset trade has been applied in Republic of Korea's defense acquisition programs since early 1980s and used for national economic development as well as enhancement of military capabilities. The accumulated offset trade value amounts to over 10 billion dollars by 2010. However, questions in regards to the effectiveness of offset trade have been constantly raised. As it is a quite difficult task to analyze and calculate the application performance of defense technologies acquired by offsets objectively, limited level of quantitative analysis of application performance have been conducted so far. Hence, in this paper, we came to understand the overall status of application of those technologies through in-depth performance analysis and suggested some specific policies for the further development of offset trade based on the analysis results. To begin with, we developed a questionnaire based on performance indicator deducted through literature review of relevant researches, and conducted survey of major offset recipients. Also, another survey of offset experts belonged to the army, government organization, research institute and companies was conducted to evaluate the performance and effectiveness of offsets qualitatively. And we analyzed the efficiency of application performance using DEA. The results of all surveys are showing that there is positive accomplishment in the technological aspect, but in economic aspect, it shows relatively inactive outcome. Based on these results, policy direction is considered to be changed from the emphasis on the acquisition of core technology to revitalization of domestic defense industry in line with new government's policy orientation.

• Journal of Venture Innovation
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• v.3 no.2
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• pp.41-76
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• 2020

This study confirmed factors affecting smart factory technology acceptance through empirical analysis. It is a study on what factors have an important influence on the introduction of the smart factory, which is the core field of the 4th industry. I believe that there is academic and practical significance in the context of insufficient research on technology acceptance in the field of smart factories. This research was conducted based on the Unified Theory of Acceptance and Use of Technology (UTAUT), whose explanatory power has been proven in the study of the acceptance factors of information technology. In addition to the four independent variables of the UTAUT : Performance Expectancy, Effort Expectancy, Social Influence, and Facilitating Conditions, Government Assistance Expectancy, which is expected to be an important factor due to the characteristics of the smart factory, was added to the independent variable. And, in order to confirm the technical factors of smart factory technology acceptance, the Task Technology Fit(TTF) was added to empirically analyze the effect on Behavioral Intention. Trust is added as a parameter because the degree of trust in new technologies is expected to have a very important effect on the acceptance of technologies. Finally, empirical verification was conducted by adding Innovation Resistance to a research variable that plays a role as a moderator, based on previous studies that innovation by new information technology can inevitably cause refusal to users. For empirical analysis, an online questionnaire of random sampling method was conducted for incumbents of domestic small and medium-sized enterprises, and 309 copies of effective responses were used for empirical analysis. Amos 23.0 and Process macro 3.4 were used for statistical analysis. For accurate statistical analysis, the validity of Research Model and Measurement Variable were secured through confirmatory factor analysis. Accurate empirical analysis was conducted through appropriate statistical procedures and correct interpretation for causality verification, mediating effect verification, and moderating effect verification. Performance Expectancy, Social Influence, Government Assistance Expectancy, and Task Technology Fit had a positive (+) effect on smart factory technology acceptance. The magnitude of influence was found in the order of Government Assistance Expectancy(β=.487) > Task Technology Fit(β=.218) > Performance Expectancy(β=.205) > Social Influence(β=.204). Both the Task Characteristics and the Technology Characteristics were confirmed to have a positive (+) effect on Task Technology Fit. It was found that Task Characteristics(β=.559) had a greater effect on Task Technology Fit than Technology Characteristics(β=.328). In the mediating effect verification on Trust, a statistically significant mediating role of Trust was not identified between each of the six independent variables and the intention to introduce a smart factory. Through the verification of the moderating effect of Innovation Resistance, it was found that Innovation Resistance plays a positive (+) moderating role between Government Assistance Expectancy, and technology acceptance intention. In other words, the greater the Innovation Resistance, the greater the influence of the Government Assistance Expectancy on the intention to adopt the smart factory than the case where there is less Innovation Resistance. Based on this, academic and practical implications were presented.

• Journal of the Korea Safety Management & Science
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• v.22 no.1
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• pp.51-59
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• 2020

The importance of innovative capability, the driving force behind innovation as a company's intangible resources, is increasing. In general, companies with high innovation capability are more likely to be successful in innovation, which can be expected to have a positive impact on corporate performance. The innovation capacity of SMEs considered in this study is R&D capability and manufacturing capability. The reason for this is that not only the continuous efforts to strengthen the competitiveness of SMEs are focused on stabilizing manufacturing capability, but also considering the situation in which governmental support for SMEs' R&D capability has been actively developed. This study examines whether R&D capability and manufacturing capability have a significant influence on corporate performance and securing competitive advantage, and analyzes whether competitive advantage acts as a mediator between innovation capability and corporate performance through regression analysis. SPSS 23.0 software was used for the empirical analysis of the data obtained through the survey. The research results are as follows. First, both R&D and manufacturing capabilities of SMEs were found to have a significant positive effect on corporate performance. Second, manufacturing capability had a significant effect on securing competitive advantage of SMEs, but R&D capability was not significant. Third, the competitive advantage of SMEs was found to play a mediating role between manufacturing capability and corporate performance.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.184-193
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• 2021

This paper investigates the performance of technology innovation activities performed by firms in 16 major regions in Korea using 2002-2010 survey data by STEPI. The theoretical and empirical analysis is carried out via the 2 models which are the simple R&D - total revenue model and Cobb-Douglas model based on the simple model adding labor variable. The main results shows that for simple model, the R&D elasticity for total revenue is 0.42 for all areas and Ul-San shows the highest elasticity level, 0.66 and Bu-San the lowest level, 0.2. In case of Cobb Douglas model the R&D elasticities are not statistically significant for many regions. To overcome the low statistical significance, we grouped the 15 regions for 3 wider regions using ANOVA based on the R&D intensity for the homogeneity of R&D activities. By grouping, each region has more observations to analyze and the results from the empirical analysis shows higher statistical significance level and data explanation capability. In this case, Group 3 which shows larger firm size and slightly higher export share shows the highest level of R&D elasticity, 0.088 and Group 1 which has the smallest firm size and the lowest revenue growth rate shows the lowest level, 0.31. For the labor elasticity, Group 1 shows the higest level, 1.16 and Group2 the lowest level, 1.096. These results show that the regions which have many middle and small firms reveal low R&D-revenue elasticity and high labor-revenue elasticity.

• Journal of Convergence for Information Technology
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• v.11 no.12
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• pp.229-235
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• 2021

The K-Beauty beauty industry is emerging as a future-oriented growth industry that creates high added value. Therefore, this study analyzed the trends of the K-Beauty beauty industry, the latest cosmetics industry trends, and previous studies and reports related to global competitiveness with the purpose of suggesting a direction to develop into a promising industry with future value needs and competitiveness of consumers. First, it is necessary to induce the demonstration of social and economic value as an export-beneficial industry by enabling division of roles between industries and governments by sector based on innovation and creativity. Second, it is expected to succeed only when beauty and IT are fused to form and expand an innovation network. Finally, if legal and institutional improvements are preceded to solve the task of creating new jobs and fostering professionals that meet the goals of industrial development, it will be possible to strategize the revitalization of the future-oriented K-Beauty beauty industry.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.5
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• pp.83-94
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• 2014

Before economical crisis in 1997, domestic company focused on increasing the size of outward experience which including organization. The result of increasing outward experience without substance was economical crisis, so after that time, many companies have been changing their focus from insourcing to strengthen the core competence to secure global market. This is becoming a cause of following that companies are reducing their outward experience. Especially, to process tasks more effectively and to cope with rapid change of business environment, such as incoming raw material from overseas/high raising of salary/rising property prices, many companies decided outsourcing method. At most of hypothesis, the result was that outsourcing can affect positively to the business. First, introducing of outsourcing during focusing on core competence can be positive effect for company performance such as business management /productivity /procurement /administration /product competitiveness /technology. Second, the result that analyzed based on a point of view of population statics after outsourcing was positive effect at the most of research. Third, result of effectiveness for every outsourcing type classified by 4M was also can be positive at the most of research. Fourth, the characteristic of population statics can be positive effect at the most of category when select outsourcing companies. Research result of outsourcing was various based on the goal of outsourcing. It is revealed by investigation of domestic/overseas treatise that there are opposite two opinions. In this research, there is no consistent result that the outsourcing can give effects on business performance, but most of hypothesis indicates that outsourcing can give positive effect on the business performance.In this research, based on the outsourcing intensity, mutual relation was analyzed. The assumption of the reason of outsourcing is economical and organizational. First, sampling numbers of research was too small so it is too difficult to get significant business performance result. (Sampling : 150, Replied : 106, Rate of Reply : 71%) Second, tried to compare significant differences of outsourcing methods which were divided based on 4M, but the there is gaps between the number of Cell and too difficult to make replier understand. Third, it is tried to find the degrees of effect that the point of view of popular statics can effect on business performances and selection of outsourced companies.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.2
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• pp.135-144
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• 2016

Korean government has invested about 400 million dollars to the business incubator using the facilities and human resources of universities and research institutes and successfully operated to contribute the economic development(1.6 billion dollars sales, 5,500 companies) and job creation(16,000 employee) in the end of 2013. Although incubators have grown rapidly, there is limited performance, like a hardware centered support, limited exploitation of resource in the university, less collaboration with the community, less star companies. This research provide a alternative capacity building direction based on the creativity and resource dependence theory. Specifically this paper suggest a building creative incubating center, traversing the valley of death, accelerator for the CPM(Capability, Product, Market) linkage, organic implementation of university resources.

• Journal of Convergence for Information Technology
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• v.11 no.4
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• pp.1-18
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• 2021

The purpose of this study is to study the influencing factors that can affect the acceptance intention and acceptance behavior of the 4th Industrial Revolution and smart factory-related technologies by using the expanded UTAUT. Through this, by grasping which influencing factors affect the introduction and acceptance of related technologies, it is to derive strategies for responding to the fourth industrial revolution by manufacturing companies and accepting smart factory related technologies. A survey was conducted on various manufacturing companies, and 167 copies were used for research. As a result of the testing of research hypotheses, performance expectation, social impact, promotion conditions, network effect, and innovation have a positive (+) significant effect on acceptance intention. However, expectation of effort had a positive (+) effect on acceptance intention, but was not significant. Acceptance intention was tested to have a positive (+) significant effect on acceptance behavior. Therefore, factors that should be improved by individual manufacturing companies in the process of responding to the 4th industrial revolution and the introduction and acceptance of smart factory-related technologies are clearly presented.