• The Journal of Asian Finance, Economics and Business
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• v.9 no.7
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• pp.231-237
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• 2022

Intellectual Capital, a valuable intangible organizational asset, is primarily linked to a company's financial performance and is divided into three categories: human, structural, and relational capital. This paper investigates the impact of intellectual capital on the financial performance of selected Pakistani companies in the Information and Communication sector, as this sector is heavily reliant on intellectual capital. The data for 11 firms was gathered from the State Bank's Financial Statements Analysis of Companies Listed on the Pakistan Stock Exchange from 2015 to 2020. Pulić's (2004) Value Added Intellectual Coefficient (VAICTM) has been used to assess a company's IC efficiency. VAIC^TM and its components, the efficiency of intellectual capital, and the efficiency of capital employed are calculated. Financial performance is measured through return on assets, return on capital employed, and asset turnover ratio. Multiple regression, fixed-effect, and random-effect Panel Data estimation are used in the empirical study. The findings suggest that intellectual capital efficiency has a large impact on major profitability metrics, but little effect on company productivity. It can be inferred from the results that the companies must invest in advanced technology, the latest machinery, and well-equipped offices to improve financial performance and productivity and gain a competitive advantage.

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.158-171
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• 2008

Measuring intellectual capital efficiency is one of the greatest challenges for all who are involved in knowledge-based economy, at macro as well as at micro level. The purpose of this study is to calculate and analyze the efficiency of national intellectual capital and value added intellectual coefficient for Korea, US, Japan, and China during the period 2000-2005. Major findings from the analysis can be summarized as follows. The US shows both the highest value creation efficiency of national intellectual capital, 1.480 and the highest value added intellectual coefficient, 6.585. It holds rank one according to GDP per capita, $41,541 in 2005. In Korea, the coefficient of national intellectual capital efficiency is 1.321 while that of value added intellectual capital is 4.733. However, the national intellectual capital efficiency of Japan, 1.271 is in opposition to the created high of vale added, 5.695. Finally, China shows that the coefficient of national intellectual capital efficiency is 1.438 while that of value added intellectual capital is 3.815.

• International Area Studies Review
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• v.22 no.4
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• pp.37-54
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• 2018

This study examines empirically on relevance between bank performance and IC(Intellectual Capital) in the field of banking sector in Korea. IC is measured by VAIC(Value Added Intellectual Capital) and VAIC consists of HCE(Human Capital Efficiency Coefficient), CEE(Capital Employed Efficiency Coefficient) and SCE(Structural Capital Efficiency Coefficient). Main results are as follows. First, the effects of IC(Intellectual capital) on banks performance show significant (+) effect on the performance of banks. Second, Human capital and bank size shows the significant effect on the banks financial performance but SCE, CEE, and other variables didn't show it. As a concluding remark, IC(Intellectual capital) is very helpful for banks to go forward financially to get information and knowledges easily. This study help stakeholders and investors assess the value creating potential of banks and policy makers to implement policies for performance establishment of a Korean banking sector.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.85-96
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• 2022

CEO duality and its impact on firm performance represent one of the most contentious issues in both academia and business. This study, therefore, aims to examine the moderating role of CEO duality in the relationship between intellectual capital Efficiency (human, structural, relational, Capital Employed, and Innovation) and firm performance (earnings per share and Tobin's Q) among Jordanian companies. The study sample consists of services listed companies on Amman Stock Exchange. The study used panel data for the period 2014-2018 with a sample size of 230 observations. SPSS software was used to analyze the collected data. The regression results indicate a significant relationship between, IC and firm performance. When CEO Duality is incorporated into the model as a moderator, there is an increase in the R² by 7.9%. The findings from this study expand the theoretical underpinning of corporate governance research by identifying the performance implications of CEO duality within the Jordanian context. It also contributes significantly to the literature review about the current status of the practices taken in the intellectual capital components efficiency among companies listed on the Amman Stock Exchange. Findings from this study also provide contributions to the concerned policymakers such as the Ministry of Finance, Securities Commission, and Amman Stock Exchange in Jordan, to improve the current policies related to intellectual capital efficiency.

• International Commerce and Information Review
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• v.16 no.3
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• pp.97-119
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• 2014

This study measures the efficiency of intellectual capital of Korea's banks, financial investment companies, and insurance companies using the Value Added Intellectual Coefficient (VAICTM) model, which was developed by A. Pulic and investigates into the relationship of each of VAIC's elements - efficiency of human, structural, and material capital -with business performance of the institution. we found, first, average VAIC and human capital efficiency(HCE) of Korean financial institutions during 2001 - 2012 were highest among banks, followed by insurance companies and securities firm. Secondly, in general, banks in advanced countries tend to have higher HCE and VAIC compared with the banks of developing countries. Thirdly, Korean financial institutions' HCE and VAIC are lower than those of Australia and even Taiwan and Thailand and have been on the decrease in recent years. This suggests that Korean financial institutions should enhance VAIC and HCE to build-up the international competitiveness.

• Journal of Contemporary Eastern Asia
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• v.22 no.1
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• pp.1-25
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• 2023

The aim of this study is to answer the straightforward question of whether the implementation of IC has fueled non-interest incomes of banks or not. By utilizing the data of 26 domestic banks in Vietnam and employing the value-added intellectual coefficient model (VAIC) as the measure of IC efficiency, our empirical evidence manifests that IC plays a vital role in fostering non-interest incomes of banks. When dividing VAIC into different components, we find that structure capital employed (SCE) is the most important component to enhance the expansion of these incomes compared with other components including capital employed efficiency (CEE), human capital efficiency (HCE). These findings remain unchanged through some robustness tests performed. While the main driver of IC and SCE, CEE component becomes a substantial advantage to increase non-interest incomes in large banks. Meanwhile, the degree of impact of SCE is higher in small banks compared with large ones. Overall, this study would provide a deep insight into the role of IC in the transformation into non-interest income activities of banks in an emerging country, and therefore our findings would be useful for both scholars and policy-makers in Vietnam, where has undergone the period of major reforms in banking system.

• The Journal of Asian Finance, Economics and Business
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• v.8 no.9
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• pp.249-260
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• 2021

This research explores the effects of intellectual capital on knowledge management processes (creation of information, knowledge sharing, and use of knowledge) and innovation performance. The data was gathered from 224 fashion accessories in Thailand using a questionnaire. The population was collected on December 16, 2019 (https:/www.ditp.go.th) from a list database of the Department of International Trade Promotion, Ministry of Commerce of Thailand (2019). A questionnaire mail survey technique was used to collect data. Executives or managers were the key participants in this study. The statistical technique used to analyze is the ordinary least square regression. The findings show that intellectual capital has a significant positive effect on information management systems. Likewise, information management techniques have a significant positive effect on innovation performance. Moreover, increasing the use of information tends to make staff willing to use the knowledge to improve the quality and quantity of the service. This tendency contributes to productivity gain. Through the interaction of processes of information use, self-reflection, and input from customers, employees tend to increase the production of knowledge that eventually develops the results of the innovation. Hence, organizations should value knowledge management process elements to improve efficiency, and thus innovation.

• Journal of Korea Game Society
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• v.9 no.2
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• pp.81-93
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• 2009

This study aims to investigate human capital in Korea's online game industry (as the representative of IT-based creative services) under the knowledge-based economy paradigm. In recognition of the importance of intellectual capital closely intertwined with human capital and the economic potential of the online game industry, Korean government has begun to show active support. In this context, this study measures the human capital efficiency in online game business by using non-parametric analysis (Data Envelopment Analysis, DEA). Most previous studies (human capital theory, knowledge based economy theory, economic growth theory) have proved that human capital has a very positive effect on sustainable growth of corporate management and wealth of nations. As such, this paper uses the DEA to obtain the efficiency of the human capital (scale, investment, education, compensation). The results of this study will suggest strategic implications on maximizing the human capital in online game corporations and provide a reference frame for government policies.

• Knowledge Management Research
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• v.22 no.4
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• pp.237-260
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• 2021

This study aims to make suggestions for more effective budget utilization and R&D project investment through verification of the efficiency of research results for the government's R&D projects. Efficiency was analyzed using Data Envelope Analysis(DEA) and 'Malmquist Index analysis' for the research results of convergence research projects organized by the National Science and Technology Research Association. The analysis targets were convergence research projects organized by the National Science and Technology Research Association and general entrusted research projects by government-funded research institutes, and dynamic analysis was conducted using DEA and Malmquist Index analysis. As a result of the analysis, the convergence research project showed high efficiency from the static perspective of DEA. On the other hand, from a dynamic perspective through the Malmquist Index analysis method, the efficiency of the general consignment project gradually declined, while the efficiency of the convergence research project improved every year. This suggests that convergence studies have higher results than general studies. Through the results of this study, we intend to present objective standards for performance evaluation of government R&D investment and provide objective implications for rational investment policies and research project planning of research personnel and research funds to improve efficiency for government-funded research institutes.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.127-139
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• 2013

With an advent of recent knowledge-based society, the interest in intellectual property has increased. Firms have tired to result in productive outcomes through continuous innovative activity. Especially, ICT firms which lead high-tech industry have tried to manage intellectual property more systematically. Firm's interest in the patent has increased in order to manage the innovative activity and Knowledge property. The patent involves not only simple information but also important values as information of technology, management and right. Moreover, as the patent has the detailed contents regarding technology development activity, it is regarded as valuable data. The patent which reflects technology spread and research outcomes and business performances are closely interrelated as the patent is considered as a significant the level of firm's innovation. As the patent information which represents companies' intellectual capital is accumulated continuously, it has become possible to do quantitative analysis. The advantages of patent in the related industry information and it's standardize information can be easily obtained. Through the patent, the flow of knowledge can be determined. The patent information can analyze in various levels from patent to nation. The patent information is used to analyze technical status and the effects on performance. The patent which has a high frequency of citation refers to having high technological values. Analyzing the patent information contains both citation index analysis using the number of citation and network analysis using citation relationship. Network analysis can provide the information on the flows of knowledge and technological changes, and it can show future research direction. Studies using the patent citation analysis vary academically and practically. For the citation index research, studies to analyze influential big patent has been conducted, and for the network analysis research, studies to find out the flows of technology in a certain industry has been conducted. Social network analysis is applied not only in the sociology, but also in a field of management consulting and company's knowledge management. Research of how the company's network position has an impact on business performances has been conducted from various aspects in a field of network analysis. Social network analysis can be based on the visual forms. Network indicators are available through the quantitative analysis. Social network analysis is used when analyzing outcomes in terms of the position of network. Social network analysis focuses largely on centrality and structural holes. Centrality indicates that actors having central positions among other actors have an advantage to exert stronger influence for exchange relationship. Degree centrality, betweenness centrality and closeness centrality are used for centrality analysis. Structural holes refer to an empty place in social structure and are defined as efficiency and constraints. This study stresses and analyzes firms' network in terms of the patent and how network characteristics have an influence on business performances. For the purpose of doing this, seventy-four ICT companies listed in S&P500 are chosen for the sample. UCINET6 is used to analyze the network structural characteristics such as outdegree centrality, betweenness centrality and efficiency. Then, regression analysis test is conducted to find out how these network characteristics are related to business performance. It is found that each network index has significant impacts on net income, i.e. business performance. However, it is found that efficiency is negatively associated with business performance. As the efficiency increases, net income decreases and it has a negative impact on business performances. Furthermore, it is shown that betweenness centrality solely has statistically significance for the multiple regression analysis with three network indexes. The patent citation network analysis shows the flows of knowledge between firms, and it can be expected to contribute to company's management strategies by analyzing company's network structural positions.