• The Journal of the Korea Contents Association
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• v.8 no.11
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• pp.306-322
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• 2008

The purpose of this study is to inquire into the effect of characteristics of public enterprise CEOs' leadership (transforming leadership and transactional leadership) on the leader trust and organizational effectiveness of organizational members. A survey was made on 1,124 persons being in the service of 14 marketable and quasimarketable public enterprises. The results of this study were as follows. First, it showed that the individualized consideration had an effect on the confidence level of leader. Second, it showed that the transforming and transactional leaderships had an effect on the organizational effectiveness, which the hypothesis was adopted. Third, it showed that calculable, intellectual and identical factors had a positive effect on the job satisfaction and organizational commitment, but the organizational commitment of calculable variable was rejected in the confidence level. In general, the effect of transforming and transactional leaderships as public enterprise CEOs' leadership characteristics on the organizational effectiveness by mutual confidence level of calculable, intellectual and identical standards showed that the organizational commitment was rejected in the base of identification. And other factors were adopted as a positive mechanism, which they were a mechanism suitable to public enterprise CEOs' leadership characteristics.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.161-177
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• 2015

With the rapid evolution of technology, the size, number, and the type of databases has increased concomitantly, so data mining approaches face many challenging applications from databases. One such application is discovery of fraud patterns from agricultural product wholesale transaction instances. The agricultural product wholesale market in Korea is huge, and vast numbers of transactions have been made every day. The demand for agricultural products continues to grow, and the use of electronic auction systems raises the efficiency of operations of wholesale market. Certainly, the number of unusual transactions is also assumed to be increased in proportion to the trading amount, where an unusual transaction is often the first sign of fraud. However, it is very difficult to identify and detect these transactions and the corresponding fraud occurred in agricultural product wholesale market because the types of fraud are more intelligent than ever before. The fraud can be detected by verifying the overall transaction records manually, but it requires significant amount of human resources, and ultimately is not a practical approach. Frauds also can be revealed by victim's report or complaint. But there are usually no victims in the agricultural product wholesale frauds because they are committed by collusion of an auction company and an intermediary wholesaler. Nevertheless, it is required to monitor transaction records continuously and to make an effort to prevent any fraud, because the fraud not only disturbs the fair trade order of the market but also reduces the credibility of the market rapidly. Applying data mining to such an environment is very useful since it can discover unknown fraud patterns or features from a large volume of transaction data properly. The objective of this research is to empirically investigate the factors necessary to detect fraud transactions in an agricultural product wholesale market by developing a data mining based fraud detection model. One of major frauds is the phantom transaction, which is a colluding transaction by the seller(auction company or forwarder) and buyer(intermediary wholesaler) to commit the fraud transaction. They pretend to fulfill the transaction by recording false data in the online transaction processing system without actually selling products, and the seller receives money from the buyer. This leads to the overstatement of sales performance and illegal money transfers, which reduces the credibility of market. This paper reviews the environment of wholesale market such as types of transactions, roles of participants of the market, and various types and characteristics of frauds, and introduces the whole process of developing the phantom transaction detection model. The process consists of the following 4 modules: (1) Data cleaning and standardization (2) Statistical data analysis such as distribution and correlation analysis, (3) Construction of classification model using decision-tree induction approach, (4) Verification of the model in terms of hit ratio. We collected real data from 6 associations of agricultural producers in metropolitan markets. Final model with a decision-tree induction approach revealed that monthly average trading price of item offered by forwarders is a key variable in detecting the phantom transaction. The verification procedure also confirmed the suitability of the results. However, even though the performance of the results of this research is satisfactory, sensitive issues are still remained for improving classification accuracy and conciseness of rules. One such issue is the robustness of data mining model. Data mining is very much data-oriented, so data mining models tend to be very sensitive to changes of data or situations. Thus, it is evident that this non-robustness of data mining model requires continuous remodeling as data or situation changes. We hope that this paper suggest valuable guideline to organizations and companies that consider introducing or constructing a fraud detection model in the future.

• Journal of Agricultural Extension & Community Development
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• v.21 no.1
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• pp.177-217
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• 2014

The purpose of this study is to examine the relation between Program Satisfaction and the leadership types of who participating in the program of village lifelong education leader. The detail goals of this study are to (1) understand the concepts about the training program of village lifelong education leader. (2) study the theory related to the leadership of village lifelong education leader. (3) examine the relation between program satisfaction and leadership types by personal characteristics. The results of this study are as follows: First, there is the significant difference between the transactional leadership and the exceptive management leadership which is the transactional leadership's sub-type in age. Second, there is the significant difference between the exceptive management leadership which transactional leadership's sub-type and charisma leadership that is transformational leadership's sub-type by participated in or not the lifelong education program before. Third, the average value of the transformational leadership is more higher than the transactional leader's average value. Fourth. the ranking of the transformational leaders' activities are as follows; (1) individual relationship (2) spiritual motivation (3) intelligence stimulus (4) charisma. Fifth, the ranking of the transactional leader's activities are as follows; (1) reward to achievement (2) exceptional management.

• Korea Real Estate Review
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• v.28 no.2
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• pp.7-20
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• 2018

This paper has statistically analyzed the determining factors that affect office building sale prices by focusing on strata property sales through the hedonic price function. In this study, 1,171 office building transaction cases were analyzed in Seoul from 2000 to 2017. To determine the influence of various factors on office building sale prices, independent variables included factors that represented macroeconomic characteristics, locational characteristics, physical characteristics, and deal characteristics. The analysis of the strata property sales, which is a major concern in this study, showed that strata property sales enjoyed a discount of about 1.56 million won per pyeong out of the entire sales. In terms of the discount rate, strata property sales were at a 12.6% discount compared to entire property sales, so it was found that strata property sales significantly influenced office building selling price. This is due to the fact that the owner of the strata property encounters more difficulties in distributing cost than the sole proprietor in terms of property rights and the exercise of management rights. The results of this study are expected to contribute in securing transparency in transactions and risk management strategies in the future.

• Journal of Global Scholars of Marketing Science
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• v.17 no.1
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• pp.51-75
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• 2007

Dongdaemun fashion market has been successfully positioned as a main hub for non-brand fashion product distribution in Korea. One of important competitive advantages of Dongdaemun market often quoted by retail researchers is an efficiently managed network system among supply chain members. This study aimed to examine the importance of buyer-supplier relationship elements and supplier properties from buyers' perspectives (small & very small-sized fashion stores in Dongdaemun market), and to identify the determinants of the relationship length between suppliers and buyers. Survey responses of 233 stores were analyzed using EQS 6.1 for Window and SPSSWIN 10.0. The findings could be summarized as follows: First, fashion stores perceived that right delivery as the most important factor, and geographically closeness, design capability, quality, and lower price followed in order. Second, the characteristics of stores such as location, wholesaling versus retailing focusing, monthly sales, and total business length all affected the perceived importance of buyer-supplier relationship. Third, design capacity, communication, power was identified as determinants of actual relationship length with a supplier, while communication and trust were found to be determinants of future expected relationship length.

• Journal of Distribution Research
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• v.16 no.5
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• pp.123-140
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• 2011

This study analyzed large distributors' trade features with local suppliers and their direct purchase features through the survey and the interview targeting some MDs(Merchandisers) in large retailers responsible for buying fresh foods (agricultural, fishery, livestock and proceeded products). As the result of conducting the survey targeting the large purchase MDs, it was found that when they select local suppliers, they importantly consider the factors of stable products supply, the quality management, the aggressive management attitude, the affordable (cheap) price, and the suggestion of differentiated goods in order. Concerning their direct purchases in local places, their preference toward the direct-purchase traders were higher than that toward vendors and whole markets as their existing major traders. Among the traders for direct purchase, they preferred farm corporations (including agricultural corporations) the most, and followed the National Agricultural Cooperative, and the unit agricultural cooperative in order. Regarding to the trades with suppliers, when they set the trade price, the merchandisers (MDs) of large distributors preferred long-term trades over 2 years, and utilized the factors of market rate(50.9%), production cost(31.2%) and sale price in the same industry(18.0%). For the local distribution organizations to aggressively counteract the changes of distribution environment in the consumption places, it needs some strategies to organize the agricultural production, to expand the production size and to specialize the distribution channels. And the supply system's continuality and stability are required, so it needs to establish the counteract system enabling to supply all year round through the link of production organizations. Additionally, as an effort to intensify the market negotiation ability, it should collect various market information from the consumption places.

• Journal of the Korea Society of Computer and Information
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• v.7 no.2
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• pp.196-204
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• 2002

This paper examines the price discovery role of the KOSPI 200 futures index for its cash index. It was used the intrady data for KOSPI 200 and futures index from July 1998 to June 2001. The existing Preceding study for KOSPI 200 futures index was used the data of early market installation, but this study is distinguished to use a recent data accompanied with the great volume of transaction and various investors. We established three hypothesis to examine whether there is the price discovery role in the KOPSI 200 futures index and the characteristics of that. First, to examine whether the lead-lag relation is induced by the infrequent trading of component stocks, observations are sorted by the size of the trading volume of cash index. In a low trading volume, the long lead time is reported and the short lead time in a high volume. It is explained that the infrequent trading effect have an influence on the price discovery role. Second, to examine whether the lead-lag relation is different under bad news and good news, observations are sorted by the sign and size of cash index returns. In a bad news the long lead time is reported and the short lead time in a good news. This is explained by the restriction of"short selling" of the cash index Third, we compared estimates of the lead and lag relationships on the expiration day with those on days prior to expiration using a minute-to-minute data. The futures-to-spot lead time on the expiration day was at least as long as other days Prior to expiration, suggesting that "expiration day effects" did not demonstrate a temporal character substantially different form earlier days. Thus, while arbitrage activity may be presumed to be the greatest at expiration, such arbitrage transactions were not sufficiently strong or Pervasive to alter the empirical price relationship for the entire day. for the entire day.

• KDI Journal of Economic Policy
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• v.22 no.1_2
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• pp.363-417
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• 2000

우리 경제는 외환위기를 계기로 단기금융시장을 포함한 국내 자본시장이 전면 개방된 동시에 외환거래 역시 대폭 자유화됨에 따라 실물부문은 물론 금융부문에 있어서도 완전한 개방경제체제로 전환하였다. 이러한 전면적인 자본시장 개방은 국내외 자본시장의 통합을 촉진하는 동시에 환율, 금리, 물가 등 거시 금융변수간의 상충관계(trade-off)에 변화를 초래함으로써 거시경제정책 환경도 크게 변호시킬 것으로 기대된다. 본고에서는 국내외 금리 및 주가간의 동조화 현상에 초점을 맞추어 자본시장 개방에 따른 국내외 자본시장 통합 효과를 살펴본 후, 자본시장 개방이 환율변동패턴의 통계적 특성에 어떠한 영향을 미쳤는지를 분석하였다. 특히 외환위기를 계기로 국내 자본시장이 제도적으로 완전 개방된 점을 고려하여 위기 이전과 이후에 자본시장 통합도와 환율 변동패턴에 어떠한 변화가 발생하였는지를 실증분석하였다. 금리에 대한 실증분석 결과는 외환위기 이후 금리재정거래(金利裁定去來)(interest parity)가 국내금리변화에 미치는 영향이 크게 확대되고 있음을 나타내고 있다. 주가에 대한 실증분석의 경우에도 미국과 국내주가 간의 동조화 현상이 외환위기 이후 심화되고 있으며, 국내 주식시장이 효율적 시장가설(efficient market hypothesis)을 지지하는 방향으로 변화하고 있음을 나타내고 있다. 환율의 경우에도 외환위기 이후 환율변동패턴에 임의보행(random walk)적 특성이 보다 강화된 것으로 나타나고 있어 외환시장의 효율성이 제고되었음을 시사하고 있다.

• The Journal of Society for e-Business Studies
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• v.13 no.4
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• pp.209-222
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• 2008

The product information can be practically stored and managed, and also queried when we use a relational database. We need to develop a special indexing scheme in order to process the queries to ask for the semantic relationships of the product information. Such semantic relationships include ISA or taxonomy relationships that have the transitive properties. In this paper, we propose an index scheme to effectively process those queries with the transitive property. The proposed index scheme is based on a numbering scheme that has relatively low update cost.

• Proceedings of the CALSEC Conference
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• 1999.11a
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• pp.713-720
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• 1999

최근 조직간정보시스템의 연구는 조직간 전략적 협력을 형성함에 있어서 발생될 수 있는 잠재적 갈등의 위험 인지에 초점을 두고 있다. 기존 연구 대부분은 조직간의 위험발생에 있어서 경제적 관점의 위험에만 초점을 맞추고 있다. 이는 조직간 기술적 호환과 관련된 기술적 문제, 조직상호간의 활동, 서로 다른 문화ㆍ전략 차이간의 조정에 요구되는 사회정책적 문제는 고려하지 않고 있어서 조직간의 합리적이며 경제적인 협력적 동맹관계를 논의하는데는 충분치 않다. 따라서 조직간 협력적인 동맹관계를 다루기 위해서는 기존의 경제적 관점에 기술적 관점, 사회정책적 관점을 추가한 세가지 측면에 대한 고려가 필요하다. 본 연구에서는 먼저 조직간 정보시스템의 개념적 특성을 살펴보고, 조직간의 상호의존성, 구조적 특성, 기술, 조정매카니즘 요소등에 의해 정보자원공유, 가치사슬망, 네트웍 형태의 세 가지 유형으로 구분하여 각 유형별에 대한 경제적, 기술적, 사회정책적 관점의 위험을 분석하고 위험을 최소화하기 위한 관리방안을 제시하고자 한다.