• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.170-177
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• 2020

The Korean government's R&D budget has risen steadily annually, reaching 24.2 trillion won in 2020, and the ratio of R&D expenditure to GDP ranked high among OECD countries. However, national science and technology innovation ranked low among OECD countries. This study focused on Korean government-funded research institutes in the field of science and technology by analyzing the effects of budget and workforce input on research performance in order to provide directions for management. Multiple regression analysis was conducted with budget and workforce input as independent variables, which influence major research outcomes (SCI paper, patent, royalty). In the research budget, only government contribution had a positive effect on SCI thesis performance, and the increase in the government project and private project funding had a negative effect on the number of patents and technology royalties. For the workforce, the positive effect of regular workers on all research achievements was 3-6 times more than that of non-regular workers. Through this study, policy implications such as establishment of institutional performance indicators according to research types were derived for the outcome driven management of government-funded research institutes in the field of science and technology.

• Journal of Nutrition and Health
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• v.38 no.9
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• pp.765-776
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• 2005

The purposes of this study were to a) examine IC (intellectual capital) circumstance of CFMC (contract foodservice management company), b) identify the correlation between IC of CFMC, c) analyze the cause and effect of IC in the viewpoint of contractor, client, and customer. The questionnaires of IC measurement were handed out to 108 CfHCs, there composing of main office employees, foodservice managers, customers, and clients of 207 school, 38 hospital, and 86 business/industry foodservices. The statistical data analysis was completed using SPSS Win (ver 12.0) for descriptive analysis, correlation analysis, simple linear regression analysis. First, CFMCs had operational experience for an average of 8 years and 8 months, and served an average of 38,540 meals a day. Most of the respondent companies operated 'food supply/distribution($50\%$)', 'catering ($46.7\%$)', and restaurant business ($43.3\%$)' except for institutional foodservice and managed an average of 66 clients for the contract period of 2 years and 3 months. Second, there was positive correlation between $\ulcorner$sales of foodservice$\lrcorner$ and 'market ability', $\ulcorner$client satisfaction$\lrcorner$ and necessary intellectual capital for managing branch/chain foodservice office, and $\ulcorner$customer satisfaction$\lrcorner$ and $\ulcorner$renewal and development$\lrcorner$, 'market ability', 'infrastructure support for foodservice operation', 'employee satisfaction', respectively. Finally, the result of the cause and effect analysis on CFMCs, clients, and customers was positively influenced by 'client satisfaction' with 'customer satisfaction', 'infrastructure support for foodservice operation' and 'customer satisfaction' with 'employee satisfaction', and 'infrastructure support for foodservice operation'. In conclusion, if CFMCs were to perform a routine checkups by utilizing CFMC's IC measuring tool, improvements in CFMC operational capacities as well as foodservice quality can be noted. Additionally, CFMCS can satisfy their client-customer relationship by employing internal marketing thechniques for employee, a more efficient infrastructure support system, and construc tive infrastructure utilization. Therefore, CFMCs can show significant improvement in their sales and foodservice quali-ty though continuous maintenance of the client and customer satisfaction.

• Hwankyungkyoyuk
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• v.4 no.1
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• pp.89-211
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• 1993

The Korean government embarked upon ambitious economic development plans in the 1960's the goals of development policy at that time were the elimination of absolute poverty and the alleviation of unemployment. With scant natural resources, the government had to push for industrialization based upon borrowed foreign raw materials with surplus local labor. Preoccupation with the economic goals of industrialization and export expansion left little room for considering environmental protection. It is evident that Korea's exported industrialization strategy of the past three decades has been a success in terms of income, production, and other macroeconomic indicators, but it cannot be denied that a host of undesirable side-effects have been created. These include environmental problems. congestion in several large cities, poor wealth distribution, and regional disparities. The environmental problems were recognized even in the early stage of development, but preoccupation with the pending economic goals of industrialization and export expansion left little room for considering environment protection. The perceived and actual seriousness of the problems, however, has reached such a level that further negligence may imperil political stability and developmental problems facing the world arise from a world economic order characterized by ever expanding consumption and production, which exhausts and contaminates natural resources and creates and perpetuates gross inequalities between and within nations. It will be necessary to develop new culture and ethical values, transform economic structures, and reorient, our lifestyles. Changing lifestyles can not be promoted by government policy initiative alone but through self=generated educational efforts and mutual training by people themselves. The citizens group for environment (NGOs) should assume these educational and training responsibilities starting from grass-root level of people. It must be reawakened to the reality that the environmental preservation for better quality of life is based on the development of human relationships, creativity, spirituality, reverance for the natural world and celebration of life, and is not dependent upon increased consumption of non-basic material goods. To carry on such environment education social movements and NGOs should (1) provides educational methodologies, which focus on values clarification and moving beyond clarification and moving beyond blame to constructive action. (2) provide training for leaders of business and industry, government, union and others on consumption and production. (3) initiate and support the training and work of environmental counselor who encourage responsible consumption. (4) cooperative with media to initiate and strengthen educational programs on the social environmental programs on the social environmental impacts of consumption and production and to build awareness of consumer responsibility and potential. Economic and social development can be compatible with environment protection : both can be achieved simultaneously. Effective environmental management depends on the various factors : political will, institutional arrangements, appropriate legislation, and availability of the requistite financial and technological resources, which is possible with a strong public awareness of the importance of environmental preservation.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.71-78
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• 2021

The relevance of research provides the necessity to identify the basic problems in the public governance sphere and information technology relations, forasmuch as understanding such interconnections can indicate the consequences of the development and spreading information technologies. The purpose of the research is to outline the issues of applying information technologies in public governance sphere. 500 civil servants took part in the survey (Ukraine). A two-stage study was conducted in order to obtain practical results of the research. The first stage involved collecting and analyzing the responses of civil servants on the Mentimeter online platform. In the second stage, the administrator used the SWOT-analysis system. The tendencies in using information technologies have been determined as follows: the institutional support development; creation of analytical portals for ensuring public control; level of accountability, transparency, activity of civil servants; implementation of e-government projects; changing the philosophy of electronic services development. Considering the threats and risks to the public governance system in the context of applying information technologies, the following aspects generated by societal requirements have been identified, namely: creation of the digital bureaucracy system; preservation of information and digital inequality; insufficient level of knowledge and skills in the field of digital technologies, reducing the publicity of the state and municipal governance system. Weaknesses of modern public governance in the context of IT implementation have been highlighted, namely: "digitization for digitalization"; lack of necessary legal regulation; inefficiency of electronic document management (issues caused by the imperfection of the interface of reporting interactive forms, frequent changes in the composition of indicators in reporting forms, the desire of higher authorities to solve the problem of their introduction); lack of data analysis infrastructure (due to imperfections in the organization of interaction between departments and poor capacity of information resources; lack of analytical databases), lack of necessary digital competencies for civil servants. Based on the results of SWOT-analysis, the strengths have been identified as follows: (possibility of continuous communication; constant self-learning); weaknesses (age restrictions for civil servants; insufficient acquisition of knowledge); threats (system errors in the provision of services through automation); opportunities for the introduction of IT in the public governance system (broad global trends; facilitation of the document management system). The practical significance of the research lies in providing recommendations for eliminating the problems of IT implementation in the public governance sphere outlined by civil servants..

• Analyses & Alternatives
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• v.6 no.2
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• pp.185-226
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• 2022

This study examines the crisis of trust of French journalism in the context of a global decline of media credibility. First of all, in the process of a huge social movement called the 'yellow vest' movement that started in 2018, distrust of the French journalism was expressed in an extreme form. This study examines some external factors in terms of the historical development of the French journalism and the public's long-standing 'criticism of journalism'. Specifically, this study first examines the quantitative indicators of trust of French journalism which were shown in Digital News Report published by the Reuters Institute for the Study of Journalism. Next, it examines the historical and institutional formation process of French journalism and public distrust that emerged along with it. And specifically, the structural crisis-economic crisis, digital transformation and intensification of competition, and deterioration of quality problems etc.-of the French journalism exposed in media coverage on social movement in 2018 is review in relation with the working process or 'routine' of actual news production. In conclusion, this study asserts that the various aspects of internal rifts in French journalism system, as well as external shocks (the influence of social movements), are a key factor in explaining the recent decline of trust in French journalism.

• Journal of the Korean Society for information Management
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• v.40 no.2
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• pp.81-114
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• 2023

In this study, a survey was conducted targeting specialized librarians, and the impact on the work area according to changes in the internal and external environment and policy support measures was analyzed. In this study, we tried to derive factors that affect library development and policy suggestions accordingly. As a result of the study, first, it was confirmed that 58.3% of the negative opinions in terms of the importance of library development plans were positive in recognition of the role of library status within individual institutions. Second, in order to increase the status of specialized libraries, it was found that awareness of academic research activities was necessary by recognizing the importance of major functions and roles. Third, among the comprehensive library development plans, the recognition of specialized libraries and operational evaluation was the highest in recognition of the expansion of national public information services to the public. In addition, it was confirmed that among the five-year development strategies, the policy that should be implemented first is the preference for updating the status of specialized libraries and establishing a system for investigation. Fourth, as a result of analyzing effective alternatives and improvement indicators to increase the participation rate in library operation evaluation, the weighting of the "institutional library operation evaluation" item in the evaluation item of public enterprises was the highest at 4.01 on average. Therefore, for the development of specialized libraries, it was recognized as the most urgent task to establish a system that can comprehensively grasp the current status of specialized libraries as well as active academic research and support them.

• The Korean Journal of Financial Studies
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• v.3 no.1
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• pp.233-265
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• 1996

We examine the impact of public and private information on price movements using the thirty DJIA stocks and twenty-one NASDAQ stocks. We find that the standard deviation of daily returns on information days (dividend announcement, earnings announcement, insider purchase, or insider sale) is much higher than on no-information days. Both public information matters at the NYSE, probably due to masked identification of insiders. Earnings announcement has the greatest impact for both DJIA and NASDAQ stocks, and there is some evidence of positive impact of insider asle on return volatility of NASDAQ stocks. There has been considerable debate, e.g., French and Roll (1986), over whether market volatility is due to public information or private information-the latter gathered through costly search and only revealed through trading. Public information is composed of (1) marketwide public information such as regularly scheduled federal economic announcements (e.g., employment, GNP, leading indicators) and (2) company-specific public information such as dividend and earnings announcements. Policy makers and corporate insiders have a better access to marketwide private information (e.g., a new monetary policy decision made in the Federal Reserve Board meeting) and company-specific private information, respectively, compated to the general public. Ederington and Lee (1993) show that marketwide public information accounts for most of the observed volatility patterns in interest rate and foreign exchange futures markets. Company-specific public information is explored by Patell and Wolfson (1984) and Jennings and Starks (1985). They show that dividend and earnings announcements induce higher than normal volatility in equity prices. Kyle (1985), Admati and Pfleiderer (1988), Barclay, Litzenberger and Warner (1990), Foster and Viswanathan (1990), Back (1992), and Barclay and Warner (1993) show that the private information help by informed traders and revealed through trading influences market volatility. Cornell and Sirri (1992)' and Meulbroek (1992) investigate the actual insider trading activities in a tender offer case and the prosecuted illegal trading cased, respectively. This paper examines the aggregate and individual impact of marketwide information, company-specific public information, and company-specific private information on equity prices. Specifically, we use the thirty common stocks in the Dow Jones Industrial Average (DJIA) and twenty one National Association of Securities Dealers Automated Quotations (NASDAQ) common stocks to examine how their prices react to information. Marketwide information (public and private) is estimated by the movement in the Standard and Poors (S & P) 500 Index price for the DJIA stocks and the movement in the NASDAQ Composite Index price for the NASDAQ stocks. Divedend and earnings announcements are used as a subset of company-specific public information. The trading activity of corporate insiders (major corporate officers, members of the board of directors, and owners of at least 10 percent of any equity class) with an access to private information can be cannot legally trade on private information. Therefore, most insider transactions are not necessarily based on private information. Nevertheless, we hypothesize that market participants observe how insiders trade in order to infer any information that they cannot possess because insiders tend to buy (sell) when they have good (bad) information about their company. For example, Damodaran and Liu (1993) show that insiders of real estate investment trusts buy (sell) after they receive favorable (unfavorable) appraisal news before the information in these appraisals is released to the public. Price discovery in a competitive multiple-dealership market (NASDAQ) would be different from that in a monopolistic specialist system (NYSE). Consequently, we hypothesize that NASDAQ stocks are affected more by private information (or more precisely, insider trading) than the DJIA stocks. In the next section, we describe our choices of the fifty-one stocks and the public and private information set. We also discuss institutional differences between the NYSE and the NASDAQ market. In Section II, we examine the implications of public and private information for the volatility of daily returns of each stock. In Section III, we turn to the question of the relative importance of individual elements of our information set. Further analysis of the five DJIA stocks and the four NASDAQ stocks that are most sensitive to earnings announcements is given in Section IV, and our results are summarized in Section V.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.65-82
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• 2021

Stock market investors are generally split into foreign investors, institutional investors, and individual investors. Compared to individual investor groups, professional investor groups such as foreign investors have an advantage in information and financial power and, as a result, foreign investors are known to show good investment performance among market participants. The purpose of this study is to propose an investment strategy that combines investor-specific transaction information and machine learning, and to analyze the portfolio investment performance of the proposed model using actual stock price and investor-specific transaction data. The Korea Exchange offers daily information on the volume of purchase and sale of each investor to securities firms. We developed a data collection program in C# programming language using an API provided by Daishin Securities Cybosplus, and collected 151 out of 200 KOSPI stocks with daily opening price, closing price and investor-specific net purchase data from January 2, 2007 to July 31, 2017. The self-organizing map model is an artificial neural network that performs clustering by unsupervised learning and has been introduced by Teuvo Kohonen since 1984. We implement competition among intra-surface artificial neurons, and all connections are non-recursive artificial neural networks that go from bottom to top. It can also be expanded to multiple layers, although many fault layers are commonly used. Linear functions are used by active functions of artificial nerve cells, and learning rules use Instar rules as well as general competitive learning. The core of the backpropagation model is the model that performs classification by supervised learning as an artificial neural network. We grouped and transformed investor-specific transaction volume data to learn backpropagation models through the self-organizing map model of artificial neural networks. As a result of the estimation of verification data through training, the portfolios were rebalanced monthly. For performance analysis, a passive portfolio was designated and the KOSPI 200 and KOSPI index returns for proxies on market returns were also obtained. Performance analysis was conducted using the equally-weighted portfolio return, compound interest rate, annual return, Maximum Draw Down, standard deviation, and Sharpe Ratio. Buy and hold returns of the top 10 market capitalization stocks are designated as a benchmark. Buy and hold strategy is the best strategy under the efficient market hypothesis. The prediction rate of learning data using backpropagation model was significantly high at 96.61%, while the prediction rate of verification data was also relatively high in the results of the 57.1% verification data. The performance evaluation of self-organizing map grouping can be determined as a result of a backpropagation model. This is because if the grouping results of the self-organizing map model had been poor, the learning results of the backpropagation model would have been poor. In this way, the performance assessment of machine learning is judged to be better learned than previous studies. Our portfolio doubled the return on the benchmark and performed better than the market returns on the KOSPI and KOSPI 200 indexes. In contrast to the benchmark, the MDD and standard deviation for portfolio risk indicators also showed better results. The Sharpe Ratio performed higher than benchmarks and stock market indexes. Through this, we presented the direction of portfolio composition program using machine learning and investor-specific transaction information and showed that it can be used to develop programs for real stock investment. The return is the result of monthly portfolio composition and asset rebalancing to the same proportion. Better outcomes are predicted when forming a monthly portfolio if the system is enforced by rebalancing the suggested stocks continuously without selling and re-buying it. Therefore, real transactions appear to be relevant.