• 산업경영시스템학회지
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• 제4권5호
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• pp.73-83
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• 1981

The purpose of value analysis is to assist each to approach nearer enough to this goal to provide substantial competitive and profit advantages. It provides planned and disciplined thought and act ion which hel ps identify unnecessary cost throughout the product or process cycle. Value analysis is a precise, disciplined, one-purpose thinking process. Its one purpose is to retain all the performance and aesthetic factors which now exist In the product, process or services, which the customer wants and is willing to pay for : and through disciplined thinking procedures, to put together Practical alternatives which will accomplish them at still lower cost. Value in a product or service is the reward for appropriate performance and appropriate cost Value analysis must therefore employ techniques which will sensitize any "lacking" area so that the need can be identified and satisfied. As the business begins to see the benefit of the activity, additional value analysts consultants may be added. This will provide more penetration in the three identified areas, of top managers group, individual value analysis consultants and senior member who organizes value analysis work, and besides, additional abilities will be secured.e secured.

• 보건행정학회지
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• 제4권2호
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• pp.111-125
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• 1994

In developing total hospital information system, large amount of time and expense are to be spent while its results are likely to lead itself to end-users' dissatisfaction. Some of the main complaints on the part of end-users come from insufficient consideration of end-users environment as well as inappropriate representation of their requirement in the system alalysis and design. This papre addresses some advantages of Essential Logical Modeling Process for better analysis and design, explaining by example the developmental process of the Patent Management and Accounting System for a tertiary care hospital. In the case, the Essential Model, suggested by McMenamin and Palmer, proved to be an effective tool for clear separation of analysis and design phase and for better communication among system developers and with end-users. The modeling process itself contributed to better program modularity as well, shown in a Structured Chart. Difficulties in learning how to identify' essential activities' for the modeling practice were experienced in the beginnins stage, which were, however, overcome by elaborating some heuristic guideling and by rdferring to necessary tools including State Transition Diagram, Control Flow Diagram, and so many. While full evaluation of the Essential Model usag remains to wait till the completion of the case project, its strengt in making clear distinction between analysis and design phase was enough to be attractive to system analysts. The model concepts are open to many further application fields, particularly such areas as business re engineering, process remodeling, office automation, and organizational restructuring.

• 정보과학회 논문지
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• 제43권3호
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• pp.289-295
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• 2016

악성코드 개발자들은 악성코드 탐지를 회피하기 위하여 변종 악성코드를 유포한다. 정적 분석 기반의 안티 바이러스로는 변종 악성코드를 탐지하기 어려우며, 따라서 API 호출 정보 기반의 동적 분석이 필요하다. 본 논문에서는 악성코드 분석가의 변종 악성코드 패밀리 분류에 도움을 줄 수 있는 악성코드 패밀리 추천 기법을 제안하였다. 악성코드 패밀리의 API 호출 정보를 동적 분석을 통하여 추출하였다. 추출한 API 호출 정보에 다중 서열 정렬 기법을 적용하였다. 정렬 결과로부터 각 악성코드 패밀리의 시그니쳐를 추출하였다. 시그니쳐와의 유사도를 기준으로, 제안하는 기법이 새로운 악성코드의 패밀리 후보를 3개까지 추천하도록 하였다. 실험을 통하여 제안한 악성코드 패밀리 추천 기법의 정확도를 측정하였다.

• 산업공학
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• 제17권4호
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• pp.426-439
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• 2004

This research discusses knowledge contents needed to build an OLAP system for medical sector, OLAP functionalities from past studies, and a medical intelligence system which is a kind of OLAP. The knowledge requirements which consist of nine contents and OLAP fundamental functionalities are applied to the system. Most past studies have focused on developing a medical data warehouse rather than OLAP. The medical intelligence system supplies health care providers (i.e., doctors, clinicians, researchers and nurses) and non-providers (i.e., managers and business analysts) with multidimensional OLAP functionalities. The system can be used to gain a deeper understanding of specific medical issues. In this research, we focus not on medical data warehouse, but on the technical challenges of designing and implementing an effective medical intelligence system for health care information. An architecture is applied to developing the medical intelligence system for a medical center in order to illustrate its practical usage. Six packages in the developed system are discussed in this research: Explorer, Analyzer, Reporter, Statistician, Visualizer, and Meta Administrator packages. Evaluation of the system and ongoing research directions conclude the research.

• Industrial Engineering and Management Systems
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• 제14권1호
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• pp.58-72
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• 2015

A primary concern of national R&D plans is to encourage technological development in private firms and research institutes. For effective R&D planning and program support, it is necessary to assess technological impacts that may exist both directly and indirectly among technology areas within the whole technology system; however, previous studies analyze only direct impacts among technologies, failing to capture both direct and indirect impacts. Therefore, this study proposes an approach based on decision-making trial and evaluation laboratory (DEMATEL) to identifying specific characteristics of technology areas, such as technological impact and degree of cause or effect (DCE). The method employs patent co-classification analysis to construct a technological knowledge flow matrix. Next, to capture both direct and indirect effects among technology areas, it incorporates the modified DEMATEL process into patent analysis. The method helps analysts assess the technological impact and DCE of technology areas, and observe their evolving trajectories over time, thereby identifying relevant technological implications. This study presents a case study using Korean patents registered during 2003-2012. We expect our analysis results to be helpful input for R&D planning, as well as the suggested approach to be incorporated into processes for formulating national R&D plans.

• 산경연구논집
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• 제5권2호
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• pp.13-20
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• 2014

Purpose - The purpose of this study is to empirically investigate the impact of capital structure on firm performance. Research design, data, and methodology - This study examined the impact of capital structure on the performance of cement companies listed on the Karachi Stock Exchange during the period 2009-2013. The authors hypothesize that there is a negative relationship between capital structure and firm performance. To examine the association, the authors run a Pearson correlation and multiple regression analysis. Results - Results reveal a strong negative relationship between debt to asset and firm performance variables (GPM, NPM, ROA, and ROE). Further, there is a positive relationship between debt to equity and firm performance variables (GPM and NPM), anda negative relationship between debt to equity and firm performance variables (ROA and ROE). Moreover, capital structure variables significantly impact firm performance. Conclusions - This study concluded that financial analysts and managers should emphasize on the optimal level of capital structure and efficient utilization and allocation of resources to achieve the targeted level of productive efficiency in business.

• 정보관리학회지
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• 제23권2호
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• pp.167-183
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• 2006

본 연구는 이메일에 나타난 감성정보 메타데이터 추출에 있어 자연언어처리에 기반한 방식을 적용하였다. 투자분석가와 고객 사이에 주고받은 이메일을 통하여 개인화 정보를 추출하였다. 개인화란 이용자에게 개인적으로 의미 있는 방식으로 콘텐츠를 제공함으로써 온라인 상에서 관계를 생성하고, 성장시키고, 지속시키는 것을 의미한다. 전자상거래나 온라인 상의 비즈니스 경우, 본 연구는 대량의 정보에서 개인에게 의미 있는 정보를 선별하여 개인화 서비스에 활용할 수 있도록, 이메일이나 토론게시판 게시물, 채팅기록 등의 텍스트를 자연언어처리 기법에 의하여 자동적으로 메타데이터를 추출할 수 있는 시스템을 구현하였다. 구현된 시스템은 온라인 비즈니스와 같이 커뮤니케이션이 중요하고, 상호 교환되는 메시지의 의도나 상대방의 감정을 파악하는 것이 중요한 경우에 그러한 감성정보 관련 메타데이터를 자동으로 추출하는 시도를 했다는 점에서 연구의 가치를 찾을 수 있다.

• 경영과학
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• 제31권4호
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• pp.43-53
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• 2014

There is no generally accepted single stylized methodology for the impact assessment of standardization programs even though some scholars in the United States or Europe have been trying to set up a common methodology during past decades. It is because the economic outcome indicators that analysts seek to quantify vary significantly with the diversity and complexity of the affected industry and the analytic approach, as well as the nature of STANDARDIZATION programs. This paper builds up the model to establish common methodology which is designed to enable the comparable economic assessment analysis between various STANDARDIZATION programs. The model thus serves to enable a comparable impact assessment because it enables both universally valid and stylized analysis, while traditional impact assessment analysis can vary depending on the kinds of analytic approaches. In other words, this paper developed the common methodology which is designed to stylize the universally valid impact assessment of STANDARDIZATION programs. In addition, this paper shows that it should be accompanied by empirical research for some items in the model, to enable the realization of the both comparable and sophisticated analysis of impact assessments, thereby outputting in the range of those values which depend on the industry and/or STANDARDIZATION type.

• 한국IT서비스학회지
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• 제17권2호
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• pp.207-218
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• 2018

Recently, it becomes a big trend in the banking industry to apply a big data analytics technique to extract essential knowledge from their customer database. Such a trend is based on the capability to analyze the big data with powerful analytics software and recognize the value of big data analysis results. However, there exits still a need for more systematic theory and mechanism about how to adopt a big data analytics approach in the banking industry. Especially, there is no study proposing a practical case study in which big data analytics is successfully accomplished from the marketing perspective. Therefore, this study aims to analyze a target marketing case in the banking industry from the view of big data analytics. Target database is a big data in which about 3.5 million customers and their transaction records have been stored for 3 years. Practical implications are derived from the marketing perspective. We address detailed processes and related field test results. It proved critical for the big data analysts to consider a sense of Veracity and Value, in addition to traditional Big Data's 3V (Volume, Velocity, and Variety), so that more significant business meanings may be extracted from the big data results.

• The Journal of Asian Finance, Economics and Business
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• 제7권1호
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• pp.19-27
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• 2020

This paper aims to empirically study the determinants of liquidity of Indian listed firms. To account for profit persistence, we apply a (pooled, fixed and random) effect models to a panel of Indian listed firms that covers the time period from 2010 to 2016. This study consists of 2154 firms operating in Indian market. Liquidity (LQD) of Indian firms is measured by liquid assets to total assets, whereas bank size, capital adequacy, profitability, leverage, and firm age are used as internal determinants. Further, economic activity, inflation rate, exchange rate, and interest rate are the external factors considered. The findings reveal that leverage, return on assets, and firm age are the essential internal determinants that impact the liquidity of Indian listed firms. Furthermore, among the internal determinants, the results indicate that firm size, leverage ratio, return on assets ratio, and firm age are found to have a significant positive association with firms' LQD, except leverage ratio and firm age has a negative relationship with firms' LQD. From this result, this article has provides helpful ideas and empirical evidence on the inner and external determinants of the companies mentioned in India is very useful to bankers, analysts, regulators, investors and other stakeholders.