• Journal of Science and Technology Studies
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• v.6 no.2 s.12
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• pp.1-44
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• 2006

This paper aims to analyse post catch-up innovation activities of Korean firms. Traditional approach focused on incremental innovation through fast catch-up process. Recently, Korean firms present new patterns of innovation activities. It includes the development of state-of-the-art frontier products in capital intensive manufacturing sector, the achievement of architectural innovation through adopting newly developed components and the creation of new market based on the basic technological capabilities. This paper attempts to formulate conceptual framework for analysing post catch-up innovation activities and to analyse stylized facts of post catch-up activities based on the case studies on technology based small and medium Korean firms.

• Journal of Korea Technology Innovation Society
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• v.9 no.3
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• pp.435-450
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• 2006

As technological capabilities have enhanced, the patterns of innovation activities of latecomer firms changed to post catch-up mode. The purpose of this research is to provide conceptual frameworks for post catch-up mode of innovation activities, based on the case study on Korean mobile phone industry. It presents the possibilities of architectural innovation of latecomer firms, which is stimulated by the co-operative innovation activities between component suppliers and users from the initial stage of final product development.

• Journal of Korea Game Society
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• v.10 no.5
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• pp.51-63
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• 2010

This paper investigates the innovative capabilities of the leading company in the Korean online games industry, 'NCsoft'. The company is analyzed with the three types of innovation capabilities such as the capability to manage core competencies, the capability to integrate internal and external knowledge source, and the capability to build innovation policy/strategy. This paper concludes with suggesting the future strategies of the NCsoft by each capability.

• Journal of Korea Technology Innovation Society
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• v.15 no.1
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• pp.76-104
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• 2012

For many small and medium-sized enterprises (SMEs), innovation activities to lead a market with technology development and a globalization strategy tend to be a haphazard process due to a lack of capabilities. Thus, this paper aims to explore success factors of the global leading SMEs in Korea that are not only the first mover through technology innovation but also outstanding in export. The analysis utilizes data from Korean Innovation Survey (KIS) and statistical analyses such as t-test and chi-square are performed to compare global leading SMEs and normal SMEs, concentrating on various factors such as information sources, collaboration and non-technology innovation activities. The results indicate that critical success factors involve information from outside companies (information from conferences and government institutes) and government supports through logistic regression analysis. This research suggests a strategic direction for policy makers to promote innovation and growth in SMEs.

• Journal of Technology Innovation
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• v.8 no.1
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• pp.1-30
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• 2000

This paper compares technology foresight activities of Japan, Germany, Britain, France, Australia, and the Netherlands with those of Korea in terms of their motives and purposes, procedures and methods, and utilization of foresight results. From the comparison, it has been found that although the foresight programs were started from similar motives and purposes, different approaches were adopted from one another depending on the characteristics of national innovation systems, national S&T policy directions, and level of science and technology capabilities of the countries. On the basis of the lessons drawn from our study, some recommendations are made for future foresight activities in Korea: clarifying purposes of foresight activities, preparing utilization strategy at the planning stage, promoting participants' learning and methodological elaboration, and so forth. Implications for policy makers are also discussed.

• Proceedings of the Technology Innovation Conference
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• 1999.06a
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• pp.266-289
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• 1999

With the globalization trend in S&T activities, Korean research organizations have begun to utilize foreign researchers. The performance of foreign researchers is generally regarded satisfactory, but there are many problems too. Moreover, there has not been any research carried out even though there is a growing need for the management of foreign researchers. This paper identified the performance / motivation factors of foreign researchers in Korean research organizations. The statistical results show that the efforts and research capabilities are the most important variables for performance of foreign researchers in Korean research organization. In addition, it is found out that university shows higher performance than government research institute and corporate research organization while it pays the least to the foreign researchers. It is interesting to see that the level of monetary payment is not strongly related with the performance of foreign researchers. In order to utilize the full potential of foreign researchers, it is necessary to enhance the living infrastructure. In addition, due attention should be given to the managerial capabilities of R&D administrators and evaluation/incentive systems of foreign researchers in Korean research organizations.

• Journal of the Korea Safety Management & Science
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• v.23 no.1
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• pp.81-94
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• 2021

In SMEs, technological innovation is recognized as an important tool in terms of sustainable growth. This study analyzed the determinants of technological innovation by using the information of the corporate panel DB composed of local SMEs. The internal factors were added with technological innovation capacity and production capacity and the industrial cluster environment was first applied to external factors. Also, whether the industrial cluster environment influences technological innovation through R&D capabilities, the mediating effect was tested with the Sobel Test. Among the internal and external factors, the most important determinant was marketing ability, and a policy was proposed to develop measures to increase R&D capability with mediating effect. Among the technological innovation variables, which are dependent variables, the most determinant factor was the proportion of new product sales. For this, it is considered that additional research such as longitudinal research with the concept of repetition and parallax using the corporate panel DB is necessary.

• Journal of Fashion Business
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• v.23 no.6
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• pp.116-126
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• 2019

South Korea is known for its major manufacturing capabilities in semi-conductor, automobile, and IT industries. However, little is known about the competitive capabilities of South Korea's textile industry. The present study presents information about how Korean textile firms build their competitive capabilities on multiple fronts. Through a case study of two businesses operating in the South Korean textile and apparel industry, this paper illustrates a series of competitiveness enhancing initiatives, starting with the implementation of radio frequency identification (RFID). The main contribution of this article is the focus on how the interdisciplinary nature of the textile and apparel industry can benefit from and optimize the use of Information Technology through sustained efforts on multiple fronts. This study suggests that Korean textile firms approach their competitive capabilities in terms of strategic direction, innovative priorities, and operational focus. In the competitive global business environment, this could be the solution for the textile and apparel industry, by helping for the survival in the upcoming information age. Specifically, by adopting RFID-based SCM, firms can gain a competitive capability that promises sustainable growth in the future.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.12 no.5
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• pp.89-99
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• 2017

Although the technological innovation activities have depended on corporate, organizational and personal capabilities and activities, innovation resistance to practice was not actively considered in previous studies. This study is intended to the effects of corporate technology innovation capabilities and activities on intra-organizational innovation resistance and performance by compensating the limit of previous studies. To achieve this, a survey was empirically carried out to 293 domestic IT and BT companies. First, technological innovation competencies had a positive effect on technological innovation resistance, adopting hypothesis 1. Second, technological innovation activities had no positive effect on technological innovation resistance, rejecting hypothesis 2. Third, technological innovation resistance had a positive effect on technological innovation performance, adopting hypothesis 3. Fourth, technological innovation resistance was positively mediated in the relationship between technological innovation competencies and technological innovation performance, adopting hypothesis 4. Fifth, technological innovation resistance was not positively mediated in the relationship between technological innovation activities and technological innovation performance, rejecting hypothesis 5. Overall, the higher technological innovation competencies had a significant effect on technological innovation resistance. Consequently, technological innovation resistance can improve or reduce technological innovation competencies and performance depending on the level of resistance.

• Asia pacific journal of information systems
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• v.23 no.3
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• pp.25-53
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• 2013

This study analyzes the effect of Computer Aided Innovation (CAI) to improve R&D Capabilities empirically. Survey was distributed by e-mail and Google Docs, targeting CTO of 235 SMEs. 142 surveys were returned back (rate of return 60.4%) from companies. Survey results from 119 companies (83.8%) which are effective samples except no-response, insincere response, estimated value, etc. were used for statistics analysis. Companies with less than 50billion KRW sales of entire researched companies occupy 76.5% in terms of sample traits. Companies with less than 300 employees occupy 83.2%. In terms of the type of company business Partners (called 'partners with big companies' hereunder) who work with big companies for business occupy 68.1%. SMEs based on their own business (called 'independent small companies') appear to occupy 31.9%. The present status of holding IT system according to traits of company business was classified into partners with big companies versus independent SMEs. The present status of ERP is 18.5% to 34.5%. QMS is 11.8% to 9.2%. And PLM (Product Life-cycle Management) is 6.7% to 2.5%. The holding of 3D CAD is 47.1% to 21%. IT system-holding and its application of independent SMEs seemed very vulnerable, compared with partner companies of big companies. This study is comprised of IT infra and IT Utilization as CAI capacity factors which are independent variables. factors of R&D capabilities which are independent variables are organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability. The highest average value of variables was 4.24 in organization capability 2. The lowest average value was 3.01 in IT infra which makes users access to data and information in other areas and use them with ease when required during new product development. It seems that the inferior environment of IT infra of general SMEs is reflected in CAI itself. In order to review the validity used to measure variables, Factors have been analyzed. 7 factors which have over 1.0 pure value of their dependent and independent variables were extracted. These factors appear to explain 71.167% in total of total variances. From the result of factor analysis about measurable variables in this study, reliability of each item was checked by Cronbach's Alpha coefficient. All measurable factors at least over 0.611 seemed to acquire reliability. Next, correlation has been done to explain certain phenomenon by correlation analysis between variables. As R&D capabilities factors which are arranged as dependent variables, organization capability, process capability, HR capability, technology-accumulating capability, and internal/external collaboration capability turned out that they acquire significant correlation at 99% reliability level in all variables of IT infra and IT Utilization which are independent variables. In addition, correlation coefficient between each factor is less than 0.8, which proves that the validity of this study judgement has been acquired. The pair with the highest coefficient had 0.628 for IT utilization and technology-accumulating capability. Regression model which can estimate independent variables was used in this study under the hypothesis that there is linear relation between independent variables and dependent variables so as to identify CAI capability's impact factors on R&D. The total explanations of IT infra among CAI capability for independent variables such as organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability are 10.3%, 7%, 11.9%, 30.9%, and 10.5% respectively. IT Utilization exposes comprehensively low explanatory capability with 12.4%, 5.9%, 11.1%, 38.9%, and 13.4% for organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability respectively. However, both factors of independent variables expose very high explanatory capability relatively for technology-accumulating capability among independent variable. Regression formula which is comprised of independent variables and dependent variables are all significant (P<0.005). The suitability of regression model seems high. When the results of test for dependent variables and independent variables are estimated, the hypothesis of 10 different factors appeared all significant in regression analysis model coefficient (P<0.01) which is estimated to affect in the hypothesis. As a result of liner regression analysis between two independent variables drawn by influence factor analysis for R&D capability and R&D capability. IT infra and IT Utilization which are CAI capability factors has positive correlation to organization capability, process capability, human resources capability, technology-accumulating capability, and collaboration capability with inside and outside which are dependent variables, R&D capability factors. It was identified as a significant factor which affects R&D capability. However, considering adjustable variables, a big gap is found, compared to entire company. First of all, in case of partner companies with big companies, in IT infra as CAI capability, organization capability, process capability, human resources capability, and technology capability out of R&D capacities seems to have positive correlation. However, collaboration capability appeared insignificance. IT utilization which is a CAI capability factor seemed to have positive relation to organization capability, process capability, human resources capability, and internal/external collaboration capability just as those of entire companies. Next, by analyzing independent types of SMEs as an adjustable variable, very different results were found from those of entire companies or partner companies with big companies. First of all, all factors in IT infra except technology-accumulating capability were rejected. IT utilization was rejected except technology-accumulating capability and collaboration capability. Comprehending the above adjustable variables, the following results were drawn in this study. First, in case of big companies or partner companies with big companies, IT infra and IT utilization affect improving R&D Capabilities positively. It was because most of big companies encourage innovation by using IT utilization and IT infra building over certain level to their partner companies. Second, in all companies, IT infra and IT utilization as CAI capability affect improving technology-accumulating capability positively at least as R&D capability factor. The most of factor explanation is low at around 10%. However, technology-accumulating capability is rather high around 25.6% to 38.4%. It was found that CAI capability contributes to technology-accumulating capability highly. Companies shouldn't consider IT infra and IT utilization as a simple product developing tool in R&D section. However, they have to consider to use them as a management innovating strategy tool which proceeds entire-company management innovation centered in new product development. Not only the improvement of technology-accumulating capability in department of R&D. Centered in new product development, it has to be used as original management innovative strategy which proceeds entire company management innovation. It suggests that it can be a method to improve technology-accumulating capability in R&D section and Dynamic capability to acquire sustainable competitive advantage.