• Journal of Technology Innovation
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• v.26 no.4
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• pp.199-232
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• 2018

There are increasing needs for understanding and fathoming of business management environment through big data analysis at industrial and corporative level. The research using the company disclosure information, which is comprehensively covering the business performance and the future plan of the company, is getting attention. However, there is limited research on developing applicable analytical models leveraging such corporate disclosure data due to its unstructured nature. This study proposes a text-mining-based analytical model for industrial and firm level analyses using publicly available company disclousre data. Specifically, we apply LDA topic model and word2vec word embedding model on the U.S. SEC data from the publicly listed firms and analyze the trends of business topics at the industrial and corporate levels. Using LDA topic modeling based on SEC EDGAR 10-K document, whole industrial management topics are figured out. For comparison of different pattern of industries' topic trend, software and hardware industries are compared in recent 20 years. Also, the changes of management subject at firm level are observed with comparison of two companies in software industry. The changes of topic trends provides lens for identifying decreasing and growing management subjects at industrial and firm level. Mapping companies and products(or services) based on dimension reduction after using word2vec word embedding model and principal component analysis of 10-K document at firm level in software industry, companies and products(services) that have similar management subjects are identified and also their changes in decades. For suggesting methodology to develop analysis model based on public management data at industrial and corporate level, there may be contributions in terms of making ground of practical methodology to identifying changes of managements subjects. However, there are required further researches to provide microscopic analytical model with regard to relation of technology management strategy between management performance in case of related to various pattern of management topics as of frequent changes of management subject or their momentum. Also more studies are needed for developing competitive context analysis model with product(service)-portfolios between firms.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.175-181
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• 2014

Korean government proposed a new initiative 'government 3.0' with which the administration will open its dataset to the public before requests. City of Seoul is the front runner in disclosure of government data. If we know what kind of attributes are governing factors for any given segmentation, these outcomes can be applied to real world problems of marketing and business strategy, and administrative decision makings. However, with respect to city of Seoul, selection of optimal variables from the open dataset up to several thousands of attributes would require a humongous amount of computation time because it might require a combinatorial optimization while maximizing dissimilarity measures between clusters. In this study, we acquired 718 attribute dataset from Statistics Korea and conducted an analysis to select the most suitable variables, which differentiate Gangnam from other districts, using the Genetic algorithm and Dunn's index. Also, we utilized the Microsoft Azure cloud computing system to speed up the process time. As the result, the optimal 28 variables were finally selected, and the validation result showed that those 28 variables effectively group the Gangnam from other districts using the Ward's minimum variance and K-means algorithm.

• Journal of Convergence for Information Technology
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• v.10 no.9
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• pp.206-214
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• 2020

This study analyzed the impact of direct and indirect subsidies on profitability in general hospitals in Korea. The data were collected from medical institution accounting information disclosure system of 270 general hospitals from 2016 to 2018. The analysis index used the ratio of net profit to business revenue for profitability, and Subsidies index the ratio of subsidies to business revenue(state subsidies for facility investment purposes, Fund related to essential business, research revenue and contribution revenue). According to the study, the ratio of state subsidies, which are direct subsidies, was very high at 57.30 percent for public institution hospitals. ratio of Fund related to essential business, which is a tax reduction effect with indirect subsidies, had the highest at 6.69 percent for Private University Hospitals. which are Indirect subsidies for deficit or operational assistance, research revenue ratio had the highest 2.8 percent for National University Hospitals, contribution revenue ratio had the highest 36.4 percent for public institutions. As a result of looking at the impact of subsidies on profitability, Nation University Hospitals had the lower the ratio of Fund related to essential business and the ratio of research revenue, the higher the net profit ratio of Business revenue. Medical Corporation Hospitals and Foundation Hospitals had the higher the ratio of Fund related to essential business to business revenues, the higher the net profit ratio of business revenue. These results mean that profitability may fluctuate depending on the utilization of funds related to essential business.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.15 no.4
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• pp.97-108
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• 2020

This study analyzes factors of the influence of university start-up education and start-up support on the employment rate. For this purpose, we study prior research on university factors that affect the employment rate. we add university startup education & support to the university factors that are the type of university establishment and the university location, affecting the employment rate. The information of start-up education and start-up support is derived from the university disclosure information. In the start-up education, the number of participants in the start-up lecture, the number of participants in the start-up club, the number of participants in the start-up competition, the number of participants in the start-up camp and in the start-up support, the number of dedicated faculty members for start-up support, and the start-up training budget are added. The research model is empirically analyzed with 118 universities, excluding special purpose universities and universities with less than 1,000 graduates as a national 4-year university. Empirical analysis shows that the type of university establishment has a positive effect on the employment rate, and the university location has a positive effect on the employment rate. Among the factors of start-up education and start-up support, the number of participants in entrepreneurship courses is found to have a positive effect on the employment rate. In addition, although the number of participants in the start-up camp don't have a positive effect on the employment rate, it is found that the significance level p=0.070. Based on the results of this empirical analysis, academic and policy implications are presented.

• Journal of the Korean Society for information Management
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• v.37 no.3
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• pp.25-50
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• 2020

Since big data platform services for the public library began January 1, 2016, libraries have used big data to improve their work performance. This paper aims to examine the use cases of library big data and attempts to draw improvement plan to improve the effectiveness of library big data. For this purpose, first, we examine big data used while utilizing the library big data platform, the usage pattern of big data and services/policies drawn by big data analysis. Next, the limitations and advantages of the library big data platform are examined by comparing the data analysis of the integrated library management system (ILUS) currently used in public libraries and data analysis through the library big data platform. As a result of case analysis, big data usage patterns were found program planning and execution, collection, collection, and other types, and services/policies were summarized as customizing bookshelf themes for the book curation and reading promotion program, increasing collection utilization, and building a collection based on special topics. and disclosure of loan status data. As a result of the comparative analysis, ILUS is specialized in statistical analysis of library collection unit, and the big data platform enables selective and flexible analysis according to various attributes (age, gender, region, time of loan, etc.) reducing analysis time. Finally, the limitations revealed in case analysis and comparative analysis are summarized and suggestions for improvement are presented.

• The Korean Journal of Financial Management
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• v.20 no.1
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• pp.261-277
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• 2003

The Korean Stock Market Surveillance System is desinged to control the volatility of stocks by drawing investor's attention and suppressing disguised demand, when stocks run up so rapidly in short period of time. Yet the Surveillance System has not been under empirical examination about its role and evolved in line with the Price Limit System. This study looks at the security returns under surveillance designation for 1995 -2001 period. The results indicate that the volatility of stocks has not been affected after surveillance designation. The constraints against the disguised demand, however, seems to limit the security returns rather than volatilities. These findings raises a question about the role of The Korean Stock Market Surveillance System for the control of volatility. The Surveillance System needs to be examined thoroughly about its role, function, and its conditions. Otherwise, the shareholders with less information could be placed at a disadvantage. This paper suggests that the system should be amended in an effort to make the volatility of stocks under control.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.371-379
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• 2010

This study analyzes relative efficiency analysis for universities or colleges of Chung Cheong regions using data envelopment analysis. The main results of this study can by summarized as follows. First, in case of efficiency for CCR, the number of efficient universities(CCR value is one) are five universities. and mean value of CCR for universities located in Chungbuk region was most high. Second, the number of efficient colleges(CCR value is one) are three colleges. and mean value of CCR for colleges located in Daejeon region was most high. Third, in case of efficiency for BCC, the number of efficient universities(BCC value is one) are nine universities. and mean value of BCC for universities located in Chungbuk region was most high. Fourth, the number of efficient colleges(BCC value is one) are seven colleges. and mean value of BCC for colleges located in Chungbuk region was most high.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.14
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• pp.103-152
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• 2000

English contract law has traditionally taken the view that it is not the duty of the parties to a contract to give information voluntarily to each other. In English law, one of the principal distinctions between insurance contract law and general contract law is the existence of the doctrine of utmost good faith in insurance law. The doctrine gives rise to a variety of duties, some of which apply before formation of the contract while others apply post-formation. This article is, therefore, designed to analyse the overall structure and problems of the doctrine of utmost good faith in English marine insurance law. The results of analysis are as following : First, the requirement of utmost good faith in marine insurance law arises from the fact that many of the relevant circumstances are within the exclusive knowledge of the assured and it is impossible for the insurer to obtain the facts to make a appropriate calculation of the risk that he is asked to assume without this information. Secondly, the duty of utmost good faith provided in MIA 1906, s. 17 has the nature as a bilateral or reciprocal, overriding and absolute duty. Thirdly, the Court of Appeal in Skandia held that breach of the pre-formation duty of utmost good faith did not sound in damages since the duty did not arise out of an implied contractual term and the breach did not constitute a tort. Instead, the Court of Appeal held that the duty was an extra-contractual duty imposed by law in the form of a contingent condition precedent to the enforceability of the contract. Fourthly, the scope of the duty of utmost good faith is closely related to the test of materiality and the assured is required to disclose only material circumstances subject to MIA 1906, s. 18(1) and 20(1). The test of materiality, which had caused a great deal of debate in English courts over 30 years, was finally settled by the House of Lords in Pan Atlantic and the House of Lords rejected the 'decisive influence' test and the 'increased risk' test, and the decision of the House of Lords is thought to accept the 'mere influence' test in subsequent case by the Court of Appeal. Fifthly, the insurer is, in order to avoid contract, required to provide proof that he is induced to enter into the contract by reason of the non-disclosure or misrepresentation of the assured. Sixthly, the duty of utmost good faith is, in principle, terminated before contract is concluded, but it is undoubtful that the provision under MIA 1906, s. 17 is wide enough to include the post-formation duty. The post-formation duty is, however, based upon the terms of marine insurance contract, and the duty lies entirely outside s. 17. Finally, MIA 1906, s. 17 provides expressly for the remedy of avoidance of the contract for breach of the duty. This means rescission or retrospective avoidance of the entire contract, and the remedy is based upon a fairly crude 'all-or-nothing' approach. What is needed in English marine insurance law is to introduce a more sophiscated or proportionate remedy.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.105-117
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• 2019

Bitcoin, which can be classified as a cryptocurrency, has attracted attention from various industries because it is an innovative digital currency and the beginning of a Blockchain system. However, as the research on Bitcoin progressed, several security vulnerabilities and possible attacks were analyzed. Among them, the security problem caused by the transparency of the Blockchain database prevents the Blockchain system from being applied to various fields. This vulnerability is further classified as the weak anonymity of participating nodes and privacy problem due to disclosure of transaction details. In recent years, several countermeasures have been developed against these vulnerabilities. In this paper, we first describe the main features of the public and private Blockchain, and explain privacy, unlinkability and anonymity. And, three public Blockchain platforms, Dash, Zcash and Monero which are derived from Bitcoin, and Hyperledger Fabric which is a private Blockchain platform, are examined. And we analyze the operating principles of the protocols applied on each platform. In addition, we classify the applied technologies into anonymity and privacy protection in detail, analyze the advantages and disadvantages, and compare the features and relative performance of the platforms based on the computational speed of the applied cryptographic mechanisms.

• The Korean Journal of Archival Studies
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• no.55
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• pp.307-334
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• 2018

This study analyzes the status of the designated administrative meetings of the central administrative agencies, including the number of meetings, the presence of written minutes, and the form of minutes. The implications based on the analysis are as follows. First, there were meetings that were not held, and written meetings were held. The standards for determining the designated meetings should be established. Second, when only a written meeting was held, the minutes were not made because these were not written separately. A written meeting can be held, if it is necessary. However, there is still a need to keep a detailed record similar to minutes in such cases. Third, among the minute types, a written record of the points of the meeting is preferred. Even if the meeting is closed for proper reasons, making a transcript and a record in addition to writing the points must be settled. Finally, specific standards for the procedures and reasons why meetings and minutes should be closed should be established. It is necessary to change the paradigm from the viewpoint of production and management to the viewpoint of disclosure and sharing through the improvement of standards and procedures related to designated meetings and designated meeting minutes.