Multi-criteria decision approaches for technical and managerial issues in customer relationship management : Personalized recommendation, system selection, and rule prioritization고객관계관리에서의 기술 및 경영 이슈를 위한 다기준의사결정 접근법 : 개인화 된 상품추천, 시스템 선정, 룰 우선순위 도출

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Within the new business culture today, the importance of customer relationship management (CRM) is emphasized both in the academic and business arenas. The concept of mass marketing is being replaced by one-to-one marketing and personalized services. To this end, it is essential for firms to implement CRM systems by means of such as outsourcing, commercial packages, and/or in-house development for some functions. In any case, various technical and/or managerial issues are doomed to arise, and must be addressed. In this thesis, we address three issues on technical and managerial problems that can be encountered in CRM implementation with multi-criteria decision approaches. First, a method for eliciting customer preference information from navigation behavior on the web and for finally recommending the most appropriate product was presented. The identification and recommendation of such products are all based on the use of each customer’s real-time web usage behavior which includes the activities such as just viewing, basket placement, and purchasing of products without forcing a customer to explicitly express his or her preference information for particular products. Further, the products are usually characterized by multiple aspects including price, which is considered most important. The multiple aspects of products lead to the consideration of the multiple criteria decision making approach in which products are evaluated under multiple conflicting criteria. Information on the web usage behavior for the products determines the ordinal relations among the products which are evaluated by multiple criteria. Thus, the problem eventually results in the identification of weights attached to the multiple criteria under multi-dimensional preference space constructed by ordinal relations among the products. The derived weights are then used for the prioritization of products that are not included in the navigation behavior due to the facts such as time pressure, cog...
Advisors
Kim, Soung-Hieresearcher김성희researcher
Description
한국과학기술원 : 경영공학전공,
Publisher
한국과학기술원
Issue Date
2007
Identifier
310667/325007  / 020005323
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 경영공학전공, 2007.2, [ vii, 122 p. ]

Keywords

Customer Relationship Management; Personalized Recommendation; System Selection; Rule Prioritization; 고객관계관리; 개인화 된 상품추천; 시스템 선정; 룰 우선순위 도출

URI
http://hdl.handle.net/10203/53507
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=310667&flag=dissertation
Appears in Collection
KGSM-Theses_Ph.D.(박사논문)
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