• Management & Information Systems Review
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• v.28 no.3
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• pp.1-23
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• 2009

Prior bankruptcy studies have established that bankrupt firm's pre-filing financial ratios are different from those of healthy firms or of randomly selected going concerns. However, they may not be sufficiently different from the financial ratios of other firms in financial distress to allow the development of a ratio-based model that predicts bankruptcy with reasonable accuracy. As the result, in the multiple discriminant model, independent variables divided firms into bankrupt firms and healthy firms are retained earnings to total asset, receivable turnover, net income to sales, financial expenses, inventory turnover, owner's equity to total asset, cash flow to current liability, and current asset to current liability. Moreover four variables Retained earnings to total asset, net income to sales, total asset turnover, owner's equity to total asset indicate that these valuables classify bankrupt firms and distress firms. On the other hand, Owner's Equity to borrowed capital, Ordinary income to Net Sales, Operating Income to Total Asset, Total Asset Turnover and Inventory Turnover are selected to predict bankruptcy possibility in the Logistic regression model.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1281-1283
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• 2013

최근 커피에 대한 수요와 스마트기기를 이용한 어플리케이션의 사용률이 급증하고 있다. 기존의 시스템들은 예측 기능이 없었기 때문에 고객들은 정확한 시간에 서비스를 제공받기 어려웠다. 그러나 바쁜 현대인들에게 시간 개념은 매우 중요하다. 본 논문에서는 고객의 도착 시각을 예측하여 고객이 카페에 도착하자마자 따뜻한 커피를 바로 제공할 수 있는 커피앤코(Coffee&Co) 시스템을 제안한다. 커피앤코 시스템은 도착 시각 예측 시스템을 의미하며, 본 논문에서는 웹의 인터페이스 구현과 내부적인 기능을 소개한다. 커피앤코 시스템을 통하여 사용자들은 미리 주문한 커피를 카페에 도착하자마자 바로 제공받을 수 있고, 카페 입장에서는 매출을 올릴 수 있는 수단이 될 것으로 기대한다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.5
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• pp.103-109
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• 2017

In this paper, the advancement in IT technology is not only inducing the multi-functionality of simple products but also changing even the lifestyle, that is, the pattern of consumers' daily life. The actual paradigm for the conversion from off-line to on-line is at the level of threatening the ecology of off-line. In this study, the diversified advancement method of off-line is in functional relationship with the increase in sales revenue and profits not only through the visit of consumers to the sales outlets for the simple purpose of making purchase but also through the application of augmented realities such as 3-dimensional sense in space and sense in reality, which are entertainment experience factors. Therefore, the improvement in the enhancement of sales revenues by applying augmented reality to off-line department store was researched in this study.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.05a
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• pp.360-364
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• 2010

Food Culture business is a type of food to maintain variety and freshness of the material to individual retail business is doing. Speed for maintaining the freshness of ingredients, food sales and the cost of materials, labor, expense and lack of accuracy for the aggregate of the settlement issue is. In this paper the distribution of FC for the ERP project to build and aggregate revenue and cost elements of the business unit's sales against the cost of materials, labor, expense accounting, including aggregate elements, and also for purchase orders and bid off retail logistics estimates of the value of arms agreements with logistics Simulation results will be studied. If the attempt to close the business units and country units, and total assets of the unit to enable profit and loss calculations are to ERP research. Through this thesis FC business development and logistics ERP will contribute to the retail industry.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1253-1262
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• 2014

Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

• Proceedings of the Technology Innovation Conference
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• 2006.02a
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• pp.207-225
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• 2006

지금까지 기업의 신기술 채택에 관한 연구는 주로 Rank, Epidemic 등으로 대표되는 개별적인 요인을 중심으로 수행되어 왔다. 하지만, 기술 채택은 복잡한 과정을 통해 이루어지기 때문에 개별 요인보다 다양한 요인들이 통합된 모형을 필요로 한다. 이를 위해 에너지관리공단의 온실가스 감축수단 조사사업의 설문조사 데이터를 이용하여, 온실가스 배출량이 가장 큰 발전산업을 중심으로 로짓, 프로빗 모형을 통해 기술 채택 요인에 따른 기술 혁신의 확산을 예측하였다. 그 결과, 기업의 측면에서 기업의 매출액, 목표회수기간, 기술의 인지 여부 등이 유의했고, 기술의 측면에서 기술의 초기비용은 유의했지만 본 연구에서 특별히 관심을 갖고 지켜봤던 이산화탄소 저감률은 유의하지 않았다. 이를 통해서 어떤 기업이 신기술을 더 빨리 채택할 것이며, 어떤 기술이 더 빨리 채택될 것인가를 예측할 수 있었다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.1039-1042
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• 2006

Because many corporations computerize process figure enemy who is introducing eCRM fast and are used mainly at past by purpose to detect and analyze and forecast systematic analysis of customer information and various pattern of customer recently, ordinary peoples are trend that is alternated gradually by data mining that can drawand forecast result of good quality easily. Field that this data mining is used representatively is eCRM. In this treatise customer data of A discount store and sale data of 1 years experimenting that forecast customer contribution to base next year through data mining actuality data and data mining through comparison with predicted data are how effective to eCRM prove.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.191-196
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• 2015

There have been many studies on statistical forecasting on firm's performance and stock price by applying various financial indicators such as debt ratio and sales growth rate. Selecting predictors for constructing a prediction model among the various financial indicators is very important for precise prediction. Most of the previous studies applied variable selection algorithms for selecting predictors. However, the variable selection algorithm is considered to be at risk of eliminating certain amount of information from the indicators that were excluded from model construction. Therefore, we propose a firm's performance prediction model which principal component analysis is applied instead of the variable selection algorithm, in order to reduce dimensionality of input variables of the prediction model. In this study, we constructed the proposed prediction model by using financial data of American IT companies to empirically analyze prediction performance of the model.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11c
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• pp.2149-2152
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• 2002

활성화되고 있는 전자상거래에 있어서 단순히 정해진 정보를 고객에게 제공하는 범위를 벗어나 고객의 특성에 따라 고객에 맞는 정보를 제공함으로서 매출 신장을 통하여 이윤확대를 꾀할 수 있다. 그러므로 본 연구에서는 베이지안 학습법을 이용하여 회원고객의 특성에 따른 분류화를 통하여 잠재적 구매 고객에 대한 구매 스타일을 예측하여 타겟광고가 가능한 기법에 대해 연구하였다.

• Digital Contents
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• no.1 s.116
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• pp.38-49
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• 2003

지난 몇년간 우리의 온라인 게임은 괄목할 만한 성장을 거듭했으며, 이제 양적인 면에서 국내시장에는 고점에 와있다고 본다. 하지만 PC성능의 향성, 플랫폼의 다양화, 초고속통신망의 확대, 2D에서 3D로의 발전, 다양한 게임 장르의 구현 등으로 질적인 면에서의 성장은 앞으로도 고도의 성장을 구가할 수 있다고 본다. 특히 해외시정의 경우 인프라 구축과 더불어 급성장세를 유지하리라 예측된다. 향후 1~2년 안에 200억 달러가 넘을 세계 게임시장에서 온라인 게임이 차지하는 비중은 점점 늘어가는 추세이며 앞으로 5년안에는 모바일, 콘솔온라인, MMORPG 등의 네트워크 관련 게임이 전체시장의 50%에 이를 전망이다. 이는 현재 온라인 게임이 차지하고 있는 세계시장 점유율과 매출 총액에 대비한다면 이들이 성장의 주축을 이루리라고 판단하기에 어렵지 않다.