• Journal of Technology Innovation
• /
• v.17 no.1
• /
• pp.119-148
• /
• 2009

The paper presents and empirically tests a model of the digital contents(DC) innovation systems that enables us to study interactions between users, service providers, contents developers and network providers, and to examine the relationship between manufacturing innovation and service innovation as well as patterns of innovation in the DC industry. The framework of Gallouj and Weinstein(1997) and Gallouj(2002) is modified into the DC innovation model according to characteristics of the DC industry, that is, user involvement and network externalities. The model is applied to a case analysis that traces the growth of the online game industry in Korea since its introduction. The model offers several advantages over other approaches in understanding the dynamics in the DC industry. Most importantly, it provides a single unified basis within which both service innovation resulting from users and service providers and manufacturing innovation induced by contents developers, platform holders and network providers are analyzed. The distinction between service and manufacturing innovation is important in many ways, for instance in selecting proper government policy tools for promotion or regulation of the DC industry. Second, the Korean online game industry has experienced both radical innovation during the beginning period and non-radical innovation throughout the maturation period. The model developed herein helps to illustrate several types of non-radical innovations such as recombinative innovation that are crucial to sustainable development of the DC industry. Third, the model clarifies impacts of network externalities that are characteristics of the DC industry.

• Informatization Policy
• /
• v.30 no.4
• /
• pp.40-61
• /
• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• Journal of Korea Technology Innovation Society
• /
• v.22 no.1
• /
• pp.28-49
• /
• 2019

This paper explores the characteristics of innovation activities in high growth firms that contribute to national and regional economic growth and job creation. The analysis is based on the 2016 KIS data to analyze the difference in innovation activities between high growth firms and general firms. The main results are as follows: First, high growth firms have a higher proportion of R&D personnel than general firms. Second, high growth firms are actively introducing product innovation, process innovation, and organizational innovation as compared to general firms. In the innovation activities related to product innovation and process innovation, there is no statistically significant difference between high growth companies and general companies except for external R&D. Third, High growth firms are more likely to cooperate with other technology partners than general firms. But, there is no statistically significant difference between high growth firms and general firms in the external knowledge search and the diversity of cooperating partners. Fourth, in terms of protecting innovation, high growth firms are more likely to use all kinds of innovation protection method, such as 'utilizing intellectual property rights', 'maintaining confidentiality', 'adopting complex design methods', 'market preemption ahead of competitors', and the most important means is the intellectual property rights. Fifth, government innovation policies that high growth firms chose as important are 'innovation subsidies and loans', 'acquirement, utilization and protection of intellectual property rights' and 'human resource support'.

• Journal of Korea Technology Innovation Society
• /
• v.21 no.4
• /
• pp.1366-1385
• /
• 2018

Recently, government policy focuses on R&D subsidies for venture firms in the early and medium stage. However, due to the 'asymmetric information' on those firms, a concern about the possibility of adverse selection of government policy, that is, whether the R&D subsidies are offered to the less-growth potential venture firms is on the rise. Therefore, based on the "2015 venture firm's survey" data in Korea, we compared the managerial efficiency of venture firms in manufacturing sectors by dividing them into beneficiary and non-beneficiary groups at government R&D subsidies. We found that the beneficiary groups showed lower managerial efficiency than non-beneficiary groups, even if they are superior to non-beneficiary groups in technological performance. We also observed that the phenomenon involve 'low managerial efficiency in the beneficiary groups' is more relevant in mid-high tech. manufacturing sectors. Our findings provide an exploratory empirical evidence of the concern about adverse selection in the selection of R&D subsidies beneficiary groups. Therefore, the government should consider managerial performance as the key criteria for selecting R&D subsidies beneficiary groups, rather than depending on technological performance solely. Furthermore, the government should develop other complementary policies to support financial performance of the groups. Lastly, the government should make those policies attract venture firms with potential to achieve financial performance.

• Journal of Digital Convergence
• /
• v.19 no.6
• /
• pp.175-184
• /
• 2021

The purpose of this study is to investigate the effect of the strategic role of the human resources department in the manufacturing industry on organizational effectiveness through education and training satisfaction. Among the data from the 7th human capital company panel survey, data from the manufacturing industry were used and analyzed through a structural equation model. The results of this study are as follows: First, the strategic role of the HR department has a positive effect on satisfaction with education and training. Second, satisfaction with education and training and the strategic role of HR departments have a positive effect on job satisfaction among organizational effectiveness. Third, it was confirmed that education and training satisfaction has a mediating effect on the relationship between the HR department's strategic role and job satisfaction. The results of this study are expected to become the basis for expanding the authority and responsibilities of the HR department, which is an important factor in overcoming the crisis faced by SMEs as well as innovation, and redefining their role.

• The Journal of the Korea Contents Association
• /
• v.11 no.3
• /
• pp.339-350
• /
• 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 Industrial Convergence
• /
• v.20 no.1
• /
• pp.23-33
• /
• 2022

The study was conducted to develop an implementation model for digital transformation (DX) of manufacturing companies. To this end, previous studies on the process of management innovation and digital transformation were reviewed. The DX process model was derived based on the NEBIC theory and innovation theory applied in the innovation process of the Internet business. In addition, a research model including the factors of the will of the top management class (TMT) was constructed and confirmed through empirical data. The research hypothesis were verified based on data collected from members of mid-sized manufacturing companies promoting digital transformation. Through regression analysis, the influence relationship of each stage of the research model (technical knowledge, TK → opportunity perception, OR → performace expectation, PE and → Intention to execute, IE) was confirmed. Hierarchical regression analysis was conducted to understand the mediating effect of the members' perception of the top management's willingness to promote DX in the process. As a result of checking the Sobel test, it was confirmed that the management's perception of DX promotion partially mediated the relationship at each stage. This study is meaningful in that it presented a model applicable to the digital transformation of the mid-sized manufacturing industry. It is also valuable in providing an empirical basis for innovative research and NEBIC expansion. Longitudinal studies are required to overcome the limitations of empirical data for process models with dynamic characteristics whereas extended empirical studies are required in various fields other than manufacturing to generalize research results.

• The Journal of Society for e-Business Studies
• /
• v.15 no.1
• /
• pp.61-87
• /
• 2010

This study is based on the analysis of technology innovation performance for Inno-biz. The primary purposes of this study are to help the government formulate Inno-biz related supporting policies and improve the fitness of evaluation models for Inno-biz. In this study the definition of "the outcome of technology innovation" includes technology competitiveness changes, technology forecasting as well as the outcome of technology innovation. For this analysis, 55 independent variables were used and categorized into ability of technology innovation, ability of commercialization, and ability of technology management. The results indicate that all three variable groups have positively influenced the outcome of technology innovation. Especially ability of technology innovation is highly related to technology competitiveness and business in future. The ability of commercialization enhances technology competitiveness and predictability in major business indexes; however it doesn't influence business performance in a short-term period. The ability of technology management enables businesses to forecast technology changes, but doesn't effect short-term business outcomes.

• Knowledge Management Research
• /
• v.23 no.4
• /
• pp.177-205
• /
• 2022

Small- and medium-sized enterprises (SMEs) have strong incentives to engage in open innovation to enhance innovation efficiency and effectiveness due to their 'liability of smallness.' Previous research examined the performance effects of various open innovation practices, but whether coupled open innovation practices positively affect SMEs' firm performance is somewhat controversial. To resolve the issue, this study examined the effects of coupled open innovation activities on SMEs' firm performance using Heckman's two stage model to control endogeneity of the firms' self-selection bias in open innovation engagement. This study used the Korean Innovation Survey (KIS) 2020 collected by the Science and Technology Policy Institute (STEPI), and tested the effects of SMEs' coupled open innovation activities, R&D and non-R&D cooperation, on their innovative and financial performance indicators. The results showed that SMEs' R&D cooperation positively affects the new-to-market (NTM) product innovation only. Moreover, SMEs' non-R&D cooperation has positive effects on the product innovation, business process innovation, new-to-the-market product innovation, and new-to-firm (NTF) product innovation. However, the results showed that both R&D and non-R&D innovation cooperation activities have no significant effects on SMEs' financial performance indicators. This study contributes to research on SMEs' open innovation and provides insights for SMEs' managers and policymakers.

• Journal of the Korea Convergence Society
• /
• v.8 no.12
• /
• pp.329-341
• /
• 2017

In order to analyze how the entrepreneurship affects the commercialization performance in relation to R&D input factors, technological innovation and technology in the course of technology commercialization process. Korean manufacturing venture companies has been surveyed. The structural equation model showed technology commercialization mechanism driven by entrepreneurship. Innovativeness is one of the most important factors in the success of venture firms. Technology commercialization was dependent on innovation rather than the input of research and development resources. Technological innovation shows mediating effects in the influence of entrepreneurship on commercialization performance, but technology capability has relatively small effect. Commercialization process of new product development and product improvement was different. The government needs to actively support R&D strategies and commercialization infrastructure in order to promote innovation, assist R&D workforce and enhance product commercialization in venture companies.