• Title/Summary/Keyword: University Knowledge Capital

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The Impact of Free Trade Agreements on Foreign Direct Investment: The Case of Korea

  • Bae, Chankwon;Jang, Yong Joon
    • East Asian Economic Review
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    • v.17 no.4
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    • pp.417-444
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    • 2013
  • This paper aims to empirically identify the effects of FTAs on outward and inward FDIs in Korea. Considering the income differences between Korea and its FTA partners, we hypothesize that FTAs have a positive effect on outward FDI to developing countries and inward FDI from developed countries. An underlying source of the hypothesis is the Knowledge-Capital model, addressing the positive (negative) relationship between trade costs and horizontal (vertical) FDI. We test for the hypothesis using data on Korea's FTAs and FDI over the period 2000-2010. We find that our empirical results support the hypothesis, and additionally, FTAs in general encourage FDI by creating an FDI-friendly environment.

Effective Capacity Planning of Capital Market IT System: Reflecting Sentiment Index (자본시장 IT시스템 효율적 용량계획 모델: 심리지수 활용을 중심으로)

  • Lee, Kukhyung;Kim, Miyea;Park, Jaeyoung;Kim, Beomsoo
    • 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.

A Framework for implementing Knowledge Network using Social Network Analysis

  • Hwang, Hyun-Seok;Kim, Su-Yeon
    • Proceedings of the Korea Society of Information Technology Applications Conference
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    • 2005.11a
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    • pp.139-142
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    • 2005
  • Recently research interest in Knowledge Management (KM) has grown rapidly. Companies regard intellectual capital as important asset and strive to deploy KM in an organization to gain a competitive edge. Many organizations currently engage in knowledge management in order to leverage knowledge both within their organization and externally to their shareholders and customers. Most of the previous research related to KM are dedicated to investigate the role of information technology in extracting, capturing, sharing, coverting organizational knowledge. Knowledge workers, however, are paid less attention though they are the key players in KM activities such as knowledge creation, dissemination, capture and conversion. We regard knowledge workers as a major component of KM and starting point of understanding organizational knowledge activities. Therefore we adopt a method to understand and analyze knowldge workers' social relationships. In this paper we investigate Social Network Analysis (SNA) as a tool for analyzing knowledge network. We introduce the basic concept of SNA and suggest a framework for implementing knowledge network by explaining how SNA can be used for analyzing knowledge network. We also propose a numerical method for identifying knowledge workers using SNA after classifying knowledge workers. The suggested method is expected to help understanding key knowledge players within an organization.

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The conceptualization of reading capital and the search for its components from the career perspective: Using Big Data Analysis (진로적 측면에서 본 독서자본의 개념화 및 구성요소 탐색 : 빅 데이터 분석 활용)

  • CHOI, MI MI
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.6
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    • pp.414-426
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    • 2018
  • The purpose of this study is to conceptualize reading capital in the career context and to provide basic data for further study by exploring the components of reading capital. For this purpose, previous studies and literature were reviewed. In addition, we conducted big data analysis regarding 209 papers concerning various activities related to reading, and explored the components of reading capital. Through this study, reading capital can express personal, intangible ability such as literacy, experience, and attitude embodied through reading, and enable understanding persons, looking at the world positively, and creating personal, social and economic values. The components of reading capital are reading competency and humanistic knowledge; the former was conceptualized to be reading literacy, reading activity, reading attitude, reading ability, and the latter was conceptualized to be emotional intelligence, relationship, self-identity, creativity, adaptability, self-directedness and values. The definitions and components researched of the reading capital derived through this study are thought to be highly useful as basic data for the expansion of research between related studies.

The Effects of Economic Uncertainty on Multi-National Companies (MNCs) Investment in Malaysia

  • MARIADAS, Paul Anthony;MURTHY, Uma;SUBRAMANIAM, Muthaloo;SELVANATHAN, Mahiswaran;LUN, Ng Han
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.5
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    • pp.1-9
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    • 2021
  • The purpose of this study is to examine the effects of economic uncertainty on MNC investment in Malaysia from 2009 to 2019 by employing an ARDL method. The results revealed that Economic Policy Uncertainty (EPU) has a positive association with the capital expenditures of Nestle, British American Tobacco, and Public Bank in the long run. In a similar period, the Gross Domestic Product (GDP) is positively significant with the capital expenditures of British America Tobacco and Heineken. However, inflation is negatively related to the capital expenditures of British America Tobacco and Heineken. Additionally, the exchange rate has a significant and negative relationship with the capital expenditures of Nestle and Petronas, while the ECT value is negative and significant in the short run, hence confirming that co-integration exists. In view of this, it is imperative that the government plays a prerogative role to support MNC operations, as MNCs foster the developing countries' economic development through facilitating full employment. This study sets to enhance the personal knowledge of those with a strong interest in the Malaysian financial market. As long as MNCs believe that the Malaysian market has the potential to grow, they will continue to invest for the benefit of the country.

Spatial Demand Estimation for the Knowledge-Based Industries in the Capital Region of Korea (지식기반산업의 입지수요추정)

  • Kab Sung Kim;Sung Jae Choo;Kee Bom Nahm
    • 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.

Linking the Big Five Model of Personality to Knowledge Sharing Intention

  • Hau, Yong Sauk
    • Asia pacific journal of information systems
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    • v.24 no.3
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    • pp.281-297
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    • 2014
  • This study aims at empirically analyzing the relation between employees' personality and their knowledge sharing intentions, on which enough light has not yet been shed in spite of its importance. By integrating the big five model of personality with social capital theory and social cognitive theory, this study develops six hypotheses concerning the relation and empirically tests them by using 724 samples collected from employees in practice. The empirical analysis results from this study reveal that employees' extroversion and agreeableness are positively associated with their social relations and that their openness to experience and conscientiousness are positively associated with their knowledge self-efficacy, which are positively related to their knowledge sharing intentions. Based on the new findings, theoretical and practical implications are provided for knowledge management researchers and managers in practice.

Evaluation of Regional Knowledge Innovation System in China: An Economic Framework Based on Dynamic Slacks-based Approach

  • CHIU, Sheng-Hsiung;LIN, Tzu-Yu
    • 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.

A Study on the Culture Industrialization of the Korean Traditional Costume

  • Hwang, Dong-Ryul
    • Proceedings of the Korea Society of Costume Conference
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    • 2003.10a
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    • pp.3-4
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    • 2003
  • The rapid progress of information technology makes the 3rd digital revolution after the 1st agricultural and the 2nd industrial revolution in the human history. The 1st agricultural-oriented society was based on the land and the labor, the 2nd industrial-oriented society was based on the capital and the technology 3rd knowledge-information-oriented society is where to make profit from creative brainworks and ideas based on human beings. The core of the knowledge-information-oriented society is the digital revolution from digitalizing information such as increase of the various digital contents in geometrical progression through internet.

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Technology Innovation in Korean Manufacturing Firms: Intra-Firm Knowledge Diffusion and Market Strategy in Patent Production

  • Hong, Chang-Soo;Jung, Jin-Hwa
    • Asian Journal of Innovation and Policy
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    • v.1 no.1
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    • pp.50-70
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    • 2012
  • This paper analyzes the factors that determine technology innovation in Korean manufacturing firms, focusing on the role of intra-firm knowledge diffusion and market strategy in patent production. For empirical analysis, zero-inflated negative binomial (ZINB) regression is applied to the 2009 Human Capital Corporate Panel data. The empirical findings confirm the critical role of intra-firm knowledge-sharing processes in technology innovation; firms with a market-leading strategy oriented to new product development also tend to be prolific in patent production.