• Knowledge Management Research
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• v.3 no.2
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• pp.49-70
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• 2002

The purpose of this study is to investigate the process and its influencing factors of technological capability building in a small and medium-sized capital goods sector. This paper first reviews the influencing factors of accumulating technological capability-technology trajectory, technology sources, technological capability, technological learning, technology strategy, and entrepreneurship. The paper then presents the integrative model of technological capability building. The experience of Mirae Corporation, the first generation of venture company in Korea, is also discussed as a case in point to analyse the process of technological capability building in a small and medium-sized capital goods company. Finally, the implications and limitations of the study arc discussed.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.3
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• pp.141-149
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• 2019

The paper proposes a knowledge innovation performance model by the dynamic data envelopment analysis with slacks-based measure approach for evaluating the effectiveness of 30 regional knowledge innovation activities in China from 2010 to 2016. In recent years, China has paid more attention to knowledge innovation activities, as central and local governments have pushed on with their innovation projects by lots of investment whatever the difficulties may be. Decision-maker is usually interested in judge its knowledge innovation performance relative to target benchmark by exploring whether one provincial administration region performs better among others and/or if the growth of economy will be benefited greatly by the knowledge innovation activities. To acquire the managerial insight about this issue from a comprehensively designed performance evaluation model, knowledge innovation activity is conceptualized as an intertemporal production process. Invention patent and regional gross product are imposed on desirable outputs, highlighting the need for knowledge economy. The empirical result shows that knowledge innovation has a positive effect on economic development. At the same time, decision-maker should be interest in the economic effect of patents' type and quality. The government should then encourage new technical applications with greater commercial value from a market-oriented perspective, in order to benefit the most from the innovation process in the short-run.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.604-610
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• 2021

Human capital is the defining value of the national economy under market conditions. The manifestation of human capital is realized as an intellectual and creative capital, theoretically grounded and proven. The realization of intellectual capital is realized through the research creativity of scientists and researchers, and creative capital is manifested through artists and thinkers. Accordingly, creativity in market conditions forms a separate source of income and is an essential article in the formation of the GDP of the national economy. This research aims to analyze human capital from the perspective of cultural and creative industries. Research methods: systematization; comparative analysis of individual indicators of advanced countries of the world on the training system; statistical, taking into account macroeconomic indicators to assess the level of national creativity potential; system and logical analysis; method of information synthesis. Research results. The structural and quantitative composition of the factors of intellectual and creative capital formation has been systematized. The article proves that the unique properties of human capital, knowledge, creativity, experience and professional skills are the push factors of creativity development of the national economy and provide the priority development of creative and cultural industry that allows generating the added value on the national scale. The functions of creativity in the sphere of cultural industries are highlighted. It is noted that education and creativity of both intellectual and creative capital are the forming basis. The research of the world's advanced countries on the creativity index has pointed out the Netherlands as the leading country in the quantitative measurement of creativity. The economic development factors of the Netherlands were analyzed from the position of economic creativity, which allowed the formation of a two-factor model providing priority development of creativity in the cultural and creative industries.

• Asia-Pacific Journal of Business
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• v.11 no.3
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• pp.47-61
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• 2020

Purpose - This study investigates the relationship between firm-specific, general human capital and corporate innovation performance. Also, we examine when this relationship is more salient. Design/methodology/approach - We collected 1,195 survey data related to a sample of corporate innovation performance and human capital from 1) Korea Research for Vocational Education and Training and 2) NICE information service in Korea. In order to examine the corporate innovation performance, we use the ordered logit model. Findings - First, we find robust supports for our hypothesis that firm-specific and general human capital increase corporate innovation performance. Second, the effect of general human capital on corporate innovation performance is stronger when this relationship is combined with the firm international experience. Research implications or Originality - By integrating the human capital theory and corporate innovation literature, we propose that firm-specific and general human capital are the important determinant of innovation performance. The firm-specific human capital may increase innovation efficiencies. Also, retaining higher-quality general human capital is considered as an important innovation strategy since firms with higher-quality general human capital make greater innovation performance. Further, we show that the firm international experience is the crucial boundary condition. As a firm's experience in internationalization increases, firms can enhance the opportunities to develop new products by combining the skills and knowledge derived from general human capital with the experience gained through internationalization.

• Information Systems Review
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• v.18 no.3
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• pp.111-135
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• 2016

The major characteristic of open source software (OSS) is innovativeness. Innovativeness stems from the process of sharing and solving technical problems. This study analyzes the impact of voluntary participation and collaboration of OSS developers on sustained participation in the community based on organizational citizenship behavior and social capital theories. Based on Bolino et al. (2002) and Wasko and Faraj (2005), a research model and hypotheses are developed. A total of 152 OSS developers participated in the survey. The hypotheses are tested by LISREL modeling. The results of analysis show that royalty, social participation, and advocacy participation enhance or positively influence social capital. In addition, reciprocity and shared vision reinforce intention of sustained knowledge contribution. However, the result shows a statistically insignificant relationship between social participation and shared vision and between cohesiveness and intention of sustained knowledge contribution.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.173-193
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• 2016

Start-ups do not have enough resources such as financial capital and established customer base. Knowledge base of start-up team members is the crucial and unrivaled resource. This study tries to explicate the knowledge sharing process occurring in this knowledge base of start-up teams. Adopting the knowledge process view, detail process of knowledge sharing process model is constructed consisting of knowledge sharing speed, quality and quantity in a form of nomological net and empirically tested. In addition, preceding antecedents and consequential outcomes of this knowledge sharing is also posited as part of the research model : knowledge state of the team leading to team creativity and agility via the explicated knowledge sharing process model. Also, as this knowledge based view are triggered by the advance of IT in general, IT support is conceptualized as an antecedent and measures are operationalized. 230 data points were collected from start-up teams. Via data analysis using PLS, theoretical relationships from knowledge state, IT support, knowledge sharing process and knowledge consequences are found to be empirically supported except a few not supported. Most of all, team agility and team creativity are theoretically supported and empirically validated as critical outcome variables beyond performance measures. Though agility and creativity has been discussed as critical construct in start-up teams, it has not be much validated empirically. Also, interestingly, IT support are found to be significantly impacting the knowledge sharing process as expected. Academic contributions and implications for practice are discussed at the end with limitations and further research.

• Knowledge Management Research
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• v.23 no.1
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• pp.89-109
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• 2022

Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.

• Journal of the Korean Geographical Society
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• v.38 no.3
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• pp.363-374
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• 2003

There is very high preference for the firms to locate in the Capital region, the City of Seoul and its surrounding areas, which inevitably meets diverse types of regulations to prevent over-concentration in Korea. In order to suggest an urgent need to reform these regulations, the demand for knowledge-based industries is estimated. A legit model is employed to estimate the demand of relocation of the current firms based on a survey conducted in 2001. A logistic curve is used to forecast the demand of new start-ups in Korea. The lands for industrial use only are estimated as many as 2.1 million~3.9 million pyung(1 pyung=3.3$m^2$) in nation-wide. Considering affiliate facilities and infrastructures, 3.1 million~5.9 million of industrial area should be developed in Korea for next five years. Since the rents are very high and the available land is short in the southern parts of Seoul, where most knowledge-based firms locate right now. Many firms have considered relocating on any other places where there exist a plenty of lands available and cheaper rents and cheaper wage rates, but still not far away from Seoul so that they could obtain new advanced information, skilled labors, venture capitals, and high quality of producer services. The Capital region, especially Gyeonggi and Incheon, is the only place to meet those conditions in Korea.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.208-214
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• 2023

Globalization and the development of technology have turned creativity into a necessity. Numerous countries consider creativity to be the major model of economic development. In this era of the knowledge-based economy, creativity is becoming a catalyst for the development of millions of people around the world. Irina Bokova, the former Director General of UNESCO, has stated that the cultural and creative industries have a capital of 2 250 billion US dollars, almost 30 million jobs worldwide in the economies of advanced countries and developing countries (Cultural Times, 2015). Copyright is a branch of intellectual property with a wider scope, forasmuch as it applies to every product of literary, scientific and artistic works in all forms of expression, relating to certain levels of originality.

• Management Science and Financial Engineering
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• v.10 no.1
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• pp.25-41
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• 2004

There have been many studies to build a model that can help investors construct optimal portfolio. Most of the previous models, however, are based upon the path-breaking Markowitz model (1959) which is a quantitative model. One of the most important problems with that kind of quantitative model is that, in reality, most of the investors use not only quantitative, but also qualitative information when they select their optimal portfolio. Since collecting both types of information from the markets are time consuming and expensive, making a set of target assets smaller, without suffering heavy loss in the rate of return, would attract investors. To extract only desired assets among all available assets, we need knowledge that identifies investors' preference for the risk of the assets. This study suggests two-layer decision-making rules capable of identifying an investor's risk preference and an architecture applying them to a quantitative portfolio model based on risk and expected return. Our knowledge-based portfolio system is to build an investor's preference-oriented portfolio. The empirical tests using the data from Korean capital markets show the results that our model contributes significantly to the construction of a better portfolio in the perspective of an investor's benefit/cost ratio than that produced by the existing portfolio models.