• Journal of Navigation and Port Research
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• v.36 no.9
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• pp.769-780
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• 2012

In the last several years, South Korea's shipbuilders have been dominating global shipbuilding. Thus, many global suppliers in the shipbuilding industry, especially German supply companies, are eager to get the Korean major shipbuilders as their customer. This study analyzed the different ways of business behaviours of German and Korean businessmen regarding customer-supplier relations. Furthermore, this paper aims to examine the kinds of challenges the international businessmen are confronted with and how this affects everyday business between German suppliers and Korean customers, using several case examples. Finally, backgrounds of cross-cultural problems and conflicts of German-Korean business relations are identified and explained.

• Journal of the Korean Operations Research and Management Science Society
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• v.29 no.2
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• pp.59-75
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• 2004

Recommendation is a personalized information filtering technology to help customers find which products they would like to purchase. Collaborative filtering works by matching customer preferences to other customers in making recommendations. But collaborative filtering based recommendations have two major limitations, sparsity and scalability. To overcome these problems we suggest using adjusted product hierarchy, grain. This methodology focuses on dimensionality reduction and uses a marketer's specific knowledge or experience to improve recommendation quality. The qualify of recommendations using each grain is compared with others by several experimentations. Experiments present that the usage of a grain holds the promise of allowing CF-based recommendations to scale to large data sets and at the same time produces better recommendations. In addition. our methodology is proved to save the computation time by 3∼4 times compared with collaborative filtering.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.5 no.4
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• pp.353-359
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems (UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between 0 -1. Second, RDB and SQL (Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS (Knowledge Management Systems).

• Proceedings of the Safety Management and Science Conference
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• 2006.11a
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• pp.299-307
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• 2006

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. From this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• IE interfaces
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• v.25 no.2
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• pp.229-240
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• 2012

Conventional research on customer relationship management(CRM) in general has focused on the effects of individual customer's satisfaction, retention and profit management. However, corporate customers are more profitable than individual customers because of high volume and frequent transactions between companies. In this article, a prototype for a corporate customer relationship management is developed in the postal service. First, the frequency and amount of customers' usage were examined, and thereby the corporate customer rating scheme was established to provide customized service. Second, five different types of usage patterns were determined using clustering analysis. In addition, we presented the rationales behind the five types of patterns. Third, RFM(recency, frequency, monetary) analysis was performed, and then action plans were developed to increase sales. Finally, the prototype software was developed to automatically perform the above analysis using MS Excel program.

• Journal of the Korea Safety Management & Science
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• v.4 no.4
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• pp.119-128
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• 2002

In this report, we provide the focus on suggesting a method of estimating and measurement of CBM(Customer Behavior Model). Through the use of internet, a new trend of business for e-CRM on B2C Web Site known as EC has emerged. The purpose of this study is to identify the relationship between the customers of a shopping mall and CBM characteristics. It can be used to gain a better understanding of customers. from this we can determine trends, and so refine business toward customer's needs and target new products to particular customer groups. Result shows that there is a significant relationship between the customers pattern of shopping mall and CBM, CVM(Customer Visit Model).

• The Research Journal of the Costume Culture
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• v.12 no.1
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• pp.41-58
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• 2004

The purpose of this paper was to propose the efficient strategies of internet fashion shopping malls to success in the internet shopping mall market growing rapidly. Representative 5 internet fashion shopping malls - Halfclub, Fashionplus, e-Hyundai, Hansol CSClub and LGeShop - were selected and in-depth interviews were performed to analyze their marketing 4P's strategies. The results of this study are as fellows. Five shopping malls'main targets are women in twenties and early thirties. The price strategies are various according to shopping malls'character. In general, there are small amounts of discounts on new products(about 5%) which are sold by department stores. Shopping malls executed delivery of goods by cooperation with distribution companies and direct distribution of subcontract companies. Shopping malls are sending e-mails to the members as a promotion strategy. CRM(Customer Related Management) is partially implemented. Joint purchase and various events are conducted frequently. Shopping malls guarantee exchange and refund services.

• Proceedings of the KIEE Conference
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• 2001.07d
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• pp.1987-1989
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• 2001

전력선 통신은 디지털 변복조 통신 기술의 발달에 힘입어 높은 신뢰성과 고속의 데이터 전송 속도를 제공하게 됨에 따라 차세대 통신 기술로 기대되고 있다. 아울러 배전 계통에서의 원격 검침은 단순히 검침 비용의 절감 차원이 아닌 수용가 정보 취득 및 수요관리 등의 기능을 함께 수용할 수 있어 보다 효율적인 에너지 사용관리 및 감시가 가능한 배전 계통 구축이 가능하다. 아울러 구성된 통신망을 이용하여 제공되는 다양한 부가서비스를 통하여 CRM(Customer Relationship Management)의 차원을 한 단계 높일 수 있는 방안의 하나로서 인식되어 선진국 전력회사들간에 지대한 관심의 대상이 되고 있다. 본 논문에서는 전력선 통신을 이용하여 저압 수용가의 원격 검침 시스템의 구축 방안을 소개하며, 시스템 구축 상에 관련된 기술적 사항과 효과적인 네트웍 구축을 위한 프로토콜 등을 다루었다.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.409-415
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• 2008

본 연구는 판매원 개인적 요인 중 서비스 및 과업수행 경험기간을 고려하여 CRM의 기술도구인 영업자동화(Sales Force Automation: SFA이하)시스템을 받아들이는 판매원의 행동특성을 파악하고 그들은 어떤 일관된 신념과 데이터만족에 대한 과업기술적합성 그리고 사용행동을 보이는지 밝히고자 한다. 이는 고객과의 관계에서 실질적인 효과를 높일 수 있는 긍정적이고 적극적인 자세로 주도적인 판매 업무를 강화시키기 위한 것으로 판매원이 SFA 시스템 기술을 단순히 업무상으로 접근하는 것이 아니라 좀 더 효과적으로 기술을 수용하려면 판매원의 심리를 어떻게 파악해야하며 적절한 시스템에 적용 및 데이터 만족에 대한 과업기술적합성과 함께 유도하여 사용행동으로 이끌도록 하는데 의의가 있다.

• Analytical Science and Technology
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• v.18 no.6
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• pp.520-528
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• 2005

Two biological Certified Reference Materials (CRMs), KRISS 108-04-001 (oyster tissue) and 108-05-001 (water dropwort stem), were prepared by Korea Research Institute of Standards and Science (KRISS)during FY '01. The certified values of these materials had been determined by Isotope Dilution Mass Spectrometry (IDMS) for six elements (Cd, Cr, Cu, Fe, Pb and Zn). Additional analytical works are now progressing to certify the concentrations of a number of the environmental and nutrimental elements in these CRMs. The certified values in a CRM are usually determined by using a single primary method with confirmation by other method(s) or using two independent critically-evaluated methods. Instrumental Neutron Activation Analysis (INAA) plays an important role in the determination of certified values as it can eliminate the possibility of common error sources resulting from sample dissolution. In this study INAA procedure was used in determination of 23 elements in these two biological CRMs to acquire the concentration information and the results were compared with KRISS certified values.