• Management & Information Systems Review
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• v.31 no.1
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• pp.45-63
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• 2012

The purpose of this study is to investigated the association between the percentage of common stock held by a company's CEO and measure firm performance in down and up markets. We found that managerial ownership is associated positively with firm performance. We also found that although firms with high insider ownership generally outperform other firms, this relationship is diminished in down markets and is increased in up market. These results suggest that investment strategies based on the assumption that high insider ownership is associated positively with financial performance may be faulty in declining market.

• Journal of the Korea Convergence Society
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• v.6 no.1
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• pp.85-91
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• 2015

Recently government has distributed precautionary measure and response procedures for smishing(SMS phishing), pharming, phishing, memory hacking and intensified Electronic Financial Transaction Act because of the sharp increase of electronic bank frauds. However, the methods of electronic bank frauds also developed and changed accordingly so much it becomes hard to cope with them. In contrast to earlier voice phishing targeted randomizing object, these new methods find out the personal information of targets and analyze them in detail making a big data base. And they are progressed into new kind of electronic bank frauds using those analyzed informations for voice phishing. This study analyze the attack method of voice phishing blended with the Big Data of personal informations and suggests response procedures for electronic bank frauds increasingly developed. Using the method to save meaningless data in a memory, attackers cannot deduct accurate information and try voice phishing properly even though they obtain personal information based on the Big Data. This study analyze newly developed social technologic attacks and suggests response procedures for them.

• Culinary science and hospitality research
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• v.15 no.4
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• pp.259-272
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• 2009

The purpose of this research is to provide practical implications for the management of the contracted foodservice business by developing a key performance indicator(referred to herein as a K.P.I.) which is to measure the performance of management of contracted foodservice business in Korea. For this study, a KPI is developed in different perspectives by conducting the delphi-3round test with industry professionals who have more than 8 year job experience at contracted foodservice business located in Korea. The KPI that was developed as a result of this research will be able to help contracted foodservice business in Korea to set a concrete direction to focus on in preparing for the future economic environment, and to utilize the KPI in indicating an area on which they must concentrate their capital. In addition, the KPI will help contracted foodservice business executives to clearly evaluate current and future value of existing contracted foodservice business, thus providing accurate standards in M&A. However, this research has a limitation in proving directions of KPI despite its own meaning because there was no actual proof of relationship between contracted foodservice business of strategies in Korea.

• The Journal of Information Systems
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• v.17 no.2
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• pp.1-26
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• 2008

SCM is one of the important key issues in Internet-based business environment. This study intends to suggest a research model to measure the influence of environmental, organizational, information technology factors on organizational performance using the four perspectives of balanced scorecard (BSC). 9 independent variables and 4 dependent variables were adopted from existing literature review. 103 companies data were collected by survey. Four hypotheses in this study were generated to analyze the positive relationship of environmental, organizational, information systems on organizational performance with 4 perspectives of BSC. The results of hypothesis testing show as follows. First, organizational performance of learning and growth perspective has a positive influence of IS maturity, process innovation, top management support, use of SCM package, IS interoperability, and objectives sharing. Second organizational performance of infernal process perspective has a positive influence of process innovation, IS interoperability, objectives sharing, top management support, use of SCM package, competitiveness, and IS maturity. Third, organizational performance of customer perspective has a positive influence of IS interoperability, objectives sharing, process innovation, IS maturity, competitiveness, and use of SCM package. Finally, organizational performance of financial perspective has a positive influence of process in innovation, use of SCM package, IS maturity, objectives sharing, IS interoperability, and top management support. The contribution of this study is that it provides a conceptual framework and empirical evidences of the causal relationship between environmental, organizational, IS factor and organizational performance with 4 perspectives of BSC.

• Journal of the Korean Data and Information Science Society
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• v.27 no.6
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• pp.1453-1463
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• 2016

The most useful financial risk measure may be VaR (Value at Risk) which estimates the maximum loss amount statistically. The VaR tends to be estimated in many industries by using transformed univariate risk including variance-covariance matrix and a specific portfolio. Hong et al. (2016) are defined the Vector at Risk based on the multivariate quantile vector. When a specific portfolio is given, one point among Vector at Risk is founded as the best VaR which is called as an alternative VaR (AVaR). In this work, AVaRs have been investigated for multivariate normal distributions with many kinds of variance-covariance matrix and various portfolio weight vectors, and compared with VaRs. It has been found that the AVaR has smaller values than VaR. Some properties of AVaR are derived and discussed with these characteristics.

• The Korean Journal of Applied Statistics
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• v.22 no.1
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• pp.163-170
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• 2009

The purpose of this article is to measure the level of insurance industry's social cognition based on the university students' survey questionnaire. For this, this study analyzes the cognition of students on the level of social reliability, the causes of low reliability, and the measures of enhancing the reliability level about insurance industry. For the analysis of survey questionnaire, partially ranked data analysis was employed. The results show that most students recognize that the reliability of insurance industry is lower than that of other financial industry such as banks and securities firms. The main reason for this low reliability is the lack of sales forces' specialty, the complexity of insurance products and contracts, and negative media release about insurance industry. To enhance the social reliability level of insurance, establishment of the future insurance image is essential, and that can be achieved through strengthening the insurance education and public relations and simplifying insurance products and contracts.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.107-120
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• 2007

When it tomes to IT investment, it's a challenge for the management to make the right decision. Unlike investment in other business area, it's hard to measure direct cost vs. effect in IT business. To validate the investment in IT, it is required to establish objective assessment system that both provider and beneficiary of information can accept, and it is also required to suggest an assessment tool of fixed quantity that includes measuring standards and method for the economic effect of new investment. This study, therefore, has developed IT ROI Methodology that can prove investment validity by accepting the strong points of the existing models while complementing their weak points and by analyzing IT Investment and IT Efforts. It also has built an IT ROI System that reflects the methodology which is applied to 21 companies of 5 business categories. This system is designed to provide effective and objective decision-making tool for IT investment by proving what positive impacts IT could have on business activities.

• Journal of the Korean Society of Food Culture
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• v.12 no.1
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• pp.87-96
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• 1997

The purpose of this study is, to examine current foodservice management practices at free meal service organization for elderly people and, to evaluate the attitude of recipients about the service and their ecological background. 6 meal service center as well as randomly selected 120 recipients at Sungnam area were surveyed and interviewed and result were summarized as follow. The cost of each meal (lunch) was ranged from 1,300 won to 1,500 won and number of attendant at meal service were ranged from 50 to 200 persons. Meal time for lunch begins from 10:30 am to noon because greater portion of people (elderly) didn't take breakfast frequently. Most of the center adapted self-service system. Standard recipe was not developed and meal preparation was controlled under the experiences of volunteer’s. Recording system of, nutrition management, production control, storage and inventory control was not well adapted by most of the center. In order to measure the level of storage, sanitation etc., scorin system in survey was adapted in this study and result are as follow: The score of sanitation of kitchen was lower than dinning area and that of food storage was lowest score. It was suggested that not only financial but also systematical support on management by local government may be necessary to meet the goal of supply nutritionally balanced food at the center. The score given by the recipient on the satisfaction of meal service was rate as 4.8 at the 5-point maximum scale. Meeting friends and share social relationship was major reason (41.6% of the total) of visiting to the center. It is suggested that in order to meet the changes of the patterns of change of social and family structure, the service of the center should be extended in urban area and it is necessary to develop systematic management models for the center.

• The Korean Journal of Applied Statistics
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• v.21 no.2
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• pp.211-219
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• 2008

Customer Loyalty is very important for a company to be survived and to make profit for a long time. Especially, since the credit card company has to manage proper card members and merchants, the CRM(Customer Relationship Management) is much emphasized. A loyalty score is more essential to credit card companies which provide differential financial services based on card members and merchants than any other companies. In this paper, we discuss behavioral measures to define customer loyalty and suggest a method to make loyalty score with an example of a credit card company. The loyalty score developed is considered easy to understand and simple to apply in card industry. In the development of loyalty score, first, we define the loyal customers and non-loyal customers by measuring variables indicating loyalty. And we perform individual logistic regression by each exploratory measuring variable and obtain the weight of measure variables using Chi-square statistics which is used for model fitness. The loyalty score suggested shows very stable results in terms of PSI (Population Stability Index) as time goes.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.103-123
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• 1999

Input filtering as a preprocessing method is so much crucial to get good performance in time series forecasting. There are a few preprocessing methods (i.e. ARMA outputs as time domain filters, and Fourier transform or wavelet transform as time-frequency domain filters) for handling time series. Specially, the time-frequency domain filters describe the fractal structure of financial markets better than the time domain filters due to theoretically additional frequency information. Therefore, we, first of all, try to describe and analyze specially some issues on the effectiveness of different filtering methods from viewpoint of the performance of a neural network based forecasting. And then we discuss about neural network model architecture issues, for example, what type of neural network learning architecture is selected for our time series forecasting, and what input size should be applied to a model. In this study an input selection problem is limited to a size selection of the lagged input variables. To solve this problem, we simulate on analyzing and comparing a few neural networks having different model architecture and also use an embedding dimension measure as chaotic time series analysis or nonlinear dynamic analysis to reduce the dimensionality (i.e. the size of time delayed input variables) of the models. Throughout our study, experiments for integration methods of joint time-frequency analysis and neural network techniques are applied to a case study of daily Korean won / U. S dollar exchange returns and finally we suggest an integration framework for future research from our experimental results.