• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.99-122
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• 2019

According to the recent IDC (International Data Corporation) report, as from 2025, the total volume of data is estimated to reach ten times higher than that of 2016, corresponding to 163 zettabytes. then the main body of generating information is moving more toward corporations than consumers. So-called "the wave of Big-data" is arriving, and the following aftermath affects entire industries and firms, respectively and collectively. Therefore, effective management of vast amounts of data is more important than ever in terms of the firm. However, there have been no previous studies that measure the effects of big data investment, even though there are number of previous studies that quantitatively the effects of IT investment. Therefore, we quantitatively analyze the Big-data investment effects, which assists firm's investment decision making. This study applied the Event Study Methodology, which is based on the efficient market hypothesis as the theoretical basis, to measure the effect of the big data investment of firms on the response of market investors. In addition, five sub-variables were set to analyze this effect in more depth: the contents are firm size classification, industry classification (finance and ICT), investment completion classification, and vendor existence classification. To measure the impact of Big data investment announcements, Data from 91 announcements from 2010 to 2017 were used as data, and the effect of investment was more empirically observed by observing changes in corporate value immediately after the disclosure. This study collected data on Big Data Investment related to Naver 's' News' category, the largest portal site in Korea. In addition, when selecting the target companies, we extracted the disclosures of listed companies in the KOSPI and KOSDAQ market. During the collection process, the search keywords were searched through the keywords 'Big data construction', 'Big data introduction', 'Big data investment', 'Big data order', and 'Big data development'. The results of the empirically proved analysis are as follows. First, we found that the market value of 91 publicly listed firms, who announced Big-data investment, increased by 0.92%. In particular, we can see that the market value of finance firms, non-ICT firms, small-cap firms are significantly increased. This result can be interpreted as the market investors perceive positively the big data investment of the enterprise, allowing market investors to better understand the company's big data investment. Second, statistical demonstration that the market value of financial firms and non - ICT firms increases after Big data investment announcement is proved statistically. Third, this study measured the effect of big data investment by dividing by company size and classified it into the top 30% and the bottom 30% of company size standard (market capitalization) without measuring the median value. To maximize the difference. The analysis showed that the investment effect of small sample companies was greater, and the difference between the two groups was also clear. Fourth, one of the most significant features of this study is that the Big Data Investment announcements are classified and structured according to vendor status. We have shown that the investment effect of a group with vendor involvement (with or without a vendor) is very large, indicating that market investors are very positive about the involvement of big data specialist vendors. Lastly but not least, it is also interesting that market investors are evaluating investment more positively at the time of the Big data Investment announcement, which is scheduled to be built rather than completed. Applying this to the industry, it would be effective for a company to make a disclosure when it decided to invest in big data in terms of increasing the market value. Our study has an academic implication, as prior research looked for the impact of Big-data investment has been nonexistent. This study also has a practical implication in that it can be a practical reference material for business decision makers considering big data investment.

• Journal of Industrial Convergence
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• v.15 no.2
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• pp.45-56
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• 2017

The purpose of this study is to analyze the influence of the number of investors influencing the achievement rate of domestic securities type crowdfunding, to find out why the general investors need to participate and to suggest measures to increase the participation of general investors. The results of this study are as follows. First, the effect of the recruitment amount, the target amount, the recruitment period and the business training is confirmed as factors affecting the achievement rate of domestic securities type crowdfunding. And it was confirmed that the influence factors on achievement rate could have a greater effect as the number of general investors increased. Therefore, the government should make more effort to relax regulations on general investors, and the investor of capital should strengthen the public disclosure of KSM through the KSM market in order to recover the funds of general investors, Crowd funding will be able to attract enough funds.

• Asia-Pacific Journal of Business
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• v.13 no.1
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• pp.153-166
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• 2022

Purpose - ESG(Environmental, Social and Governance) rating is an indicator to predict the sustainable development and long-term value creation of enterprises, which is becoming more and more important. This study divided the ESG rating into each sector(E, S and G) to identify which ESG elements are effective in enhancing enterprise value according to the characteristics of the enterprise, which is different from previous studies. Design/methodology/approach - In this study, Bloomberg ESG Disclosure Score was used to empirically analyze the relationship between ESG ratings and corporate value by taking the listed companies of China's Shanghai Composite Index from 2017 to 2020 as the object. Findings - First, the relationship between ESG ratings and enterprise value shows a statistically significant positive correlation, which supports the results of previous studies. Second, the analysis results from the classification of ownership structure of enterprises (state-owned enterprises and non-state-owned enterprises) show that compared with state-owned enterprises, the ESG ratings of non-state-owned enterprises is more closely related to enterprise value. Third, the analysis of various industries (manufacturing and non-manufacturing) shows that compared with manufacturing, ESG scores of non-manufacturing has a more positive effect on enterprise value. Lastly, the analysis by industry type (heavy-contaminated companies, non-contaminated companies) confirmed that ESG scores of non-contaminated companies has a positive effect on corporate value than heavy-contaminated companies. Research implications or Originality - This study classified ESG evaluation grades(E, S and G) for listed companies in China and analyzed in detail how they affect corporate value according to corporate characteristics, drawing implications for what ESG indicators should be focused on to increase corporate value.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.3_4 s.141
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• pp.569-575
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• 2005

The objective of this study is to consider the concept of postmodernism and the characteristics concerning the stage of the development, and to investigate the effect of the postmodernism on the clothing. Postmodernism is the result of the late capitalism and its characteristics are the narrative, mixture and deconstruction. First, since it is impossible to express the social culture of various society through one theoretical disclosure, the novel value on the narrative is provided and its characteristics arise. Hence, the society becomes afford to accept the other and provides the novel value to the absolute sub-concept. Second, the recognization and emphasis of the narrative in the post modem society bring about the repulsion as to the strict classification between the high culture and low one established from modernism and the closure between each genre of the art, and this causes to raise the composed characteristics which borrow or mix the style and image of different age and culture. Third, the deconstructive feature arises which eliminates the boundary between the high and low class, the past and future and the destruction and construction. This means not only anther recomposition but also skeptical attitude about it.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.145-155
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• 2020

This study analyzes the degree of competition in the oil refinery market in Korea, which is considered an oligopoly market. The price of gasoline and diesel and the quantity of supply are used to identify the market competition. We also analyze whether the oil tax reduction policy has affected market competition. The competitiveness of the market was examined using monthly data from 2008 to 2019. Bresnahan-Lau method was employed to estimate the degree of competition in the oil refinery market, which is frequently used in the industrial studies. The analysis shows that the gasoline and diesel markets seem close to a perfect competitive market. Also, the tax cut has weakened market competition. In other words, the monopolistic power has increased in the market, so consumers have not benefit from the price cuts as much as tax cuts. Although the oil refinery market where four major companies are competing, the government's monitoring and price disclosure system help the market to be highly competitive as much as a perfect competition market. The tax cut, in the high oil price era, has a negative effect on the competition because of an information asymmetry about the price-setting process between suppliers and consumers.

• Journal of the Korea Institute of Military Science and Technology
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• v.18 no.5
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• pp.532-537
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• 2015

In this paper, we propose target range estimation method using ghost target in the submarine linear array sonar. Usually, when submarine detect target, they use passive sonar detection to avoid self-disclosure by active sonar transmission. But, originally, passive linear array sonar have limitation for target range estimation and additional processing is required to get target range information. For the case of near-field target, typical range estimation method is using multiple information by multipath effect in underwater environment. Acoustic signal generated from target are propagated along with numerous multipath in underwater environment. Since multipath target signals received in the linear array sonar have different conic angles each other, ghost target is appeared at the bearing different with real target bearing and sonar operator can find these information on the operation console. Under several assumption, this geometric properties can be analysed mathematically and we get the target range by derivation of this geometric equations using measured conic angles of real target and ghost target.

• Journal of Environmental Health Sciences
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• v.32 no.4 s.91
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• pp.268-274
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• 2006

In this study in order to evaluate the growth of RF propagation exposure rate generated according to the enhancement of its use, it is proposed for the ground to be able to examine and to contemplate the correlation between the human health and RF propagation exposure rate by measuring and analyzing the RF exposure source and exposure rate in an indoor environment. As a result of research, it is analyzed that the main exposure source of critically making effect in indoor environment is the frequency hand if radio broadcasting, mobile communication, wireless LAN, digital broadcasting, home appliance, etc., including the TV broadcasting. Among these, it is shown that the TV broadcasting and mobile communication band are the highest. And it is the concluded that RF exposure rate of the environmental sensitive equipment, like an institution for the aged, has lower possibility to exceed the human RF protection criteria by this evaluation.

• Anxiety and mood
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• v.11 no.2
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• pp.114-119
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• 2015

A conflict of interest is usually defined as a set of circumstances that creates a risk that professional judgments or actions regarding a primary interest will be unduly influenced by a secondary interest. In general, a conflict of interest can be classified as either a financial or a non-financial one. A financial conflict of interest reportedly occurs frequently in medical (and psychiatric) research and practice and is associated with a greater likelihood of reporting results favorable to the intervention being studied. A non-financial conflict of interest may occur in psychiatric research and practice as a result of the so-called "allegiance effect." It is very important that clinicians and researchers in the field of psychiatry be aware that their field is vulnerable to both financial and non-financial conflicts of interest. Considering that it is impossible in modern psychiatry to be completely free from possible conflicts of interest, the best way to manage a conflict of interest is disclosure based on the principles of transparency. Actions that might lead to conflicts of interest should be avoided as much as possible.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.26 no.1
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• pp.18-26
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• 2002

With the introduction of Fractal notation, various fields of engineering adopted fractal notation to express characteristics of geometry involved and one of the most frequently applied areas was turbulence. With research on turbulence regarding the surface as fractal geometry, attempts to analyze turbulent premised flame as fractal geometry also attracted attention as a tool for modeling, for the flame surface can be viewed as fractal geometry. Experiments focused on disclosure of flame characteristics by measuring fractal parameters were done by researchers. But robust principle or theory can't be extracted. Only reported modeling efforts using fractal dimension is flame speed model by Gouldin. This model gives good predictions of flame speed in unstrained case but not in highly strained flame condition. In this research, approaches regarding fractal dimension of flame as one representative value is pointed out as a reason for the absence of robust model. And as an extort to establish robust modeling, Presents methods treating fractal dimension as statistical variable. From this approach flame characteristics reported by experiments such as Da effect on flame structure can be seen quantitatively and shows possibility of flame modeling using fractal parameters with statistical method. From this result more quantitative model can be derived.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.1097-1104
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• 2020

This research seeks to provide evidence about how political connections, proxied by government ownership and the existence of politically connected board members, affect the extent of corporate social responsibility (CSR) disclosures in Indonesian listed companies. This research uses the legitimacy theory as a basis for explaining management's motivation for disclosing its CSR. The sample consists of 131 firm-year observations from 38 non-financial public companies that published sustainability reports from 2013 to 2017. We measured the CSR disclosures using a disclosure checklist on the sustainability reports. We subsequently processed the data using a random effect (RE) linear regression. The result shows that CSR disclosures were greater in government-owned companies but lower in companies that have politically connected board members. The results support the legitimacy theory that the government intends to demonstrate legitimate national economic and political conditions by showing that government-owned companies are sustainable. However, CSR disclosures seem to have a substitutive relationship with the existence of politically connected board members, since those political connections may protect the company from public pressure and/or the risk of litigation, reducing the need for CSR disclosures. This research provides evidence that different types of political connections may have different impacts on corporate disclosures.