• Title/Summary/Keyword: 고객자산 동인

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Effects of Relationship Marketing Activities on Customer Equity Drivers and Customer Behaviors (관계마케팅활동이 고객자산동인과 고객행동에 미치는 영향)

  • Cho, Sang-Lee
    • Management & Information Systems Review
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    • v.30 no.2
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    • pp.185-210
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    • 2011
  • For many firms, customers are their most valuable assets. This is a shift in the interest of managers and researchers from a traditional focus on product management to a more recent focus on customer management. And they manage their customers with relationship marketing. Despite the recent academic interest in the study of customer equity, prior research has focused on brand equity and limited relationship mediated variate such as satisfaction, commitment and trust. This paper suggests customer equity drives with mediated variate and examines how relationship marketing can generate drives of customer equity and influence on customer behaviors. The results are like this. First, customer equity drives include value, brand and relationship equity and they mediate between relationship marketing activities and customer behaviors. Second, financial, social and structural activities have significant impact on repurchase, positive word of mouth, and cross purchase through customer equity drives. Third, this study tried to organize literature on customer equity systematically. It will become the foundation of follow-up studies.

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시뮬레이션을 이용한 주가연계상품(ELS)의 성과 추정

  • Min, Jae-Hyeong;Gu, Gi-Dong
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2004.05a
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    • pp.730-733
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    • 2004
  • 본 연구에서는 넉아웃 옵션(Knock-out option)이 내재된 주가연계상품(ELS)의 성과를 시뮬레이션을 이용하여 추정한다. 옵션과 기초자산을 결합하여 구성되는 ELS는 상품개발 시점에서 그 수익구조가 결정되며, 실현수익률은 미래의 시장흐름에 의하여 결정된다. 현재 ELS는 옵션가격의 결정, 수익구조의 결정, 그리고 수익률 추정이라는 개별 과정이 각각 옵션발행자, 상품개발자, 고객관리자 등에 의하여 별도로 이루어지고 있는 실정이다. 본 연구에서는 이러한 개별 과정을 통합한 시뮬레이션 모형을 구축한 후, 이 모형의 결과(옵션가격, 수익구조, 실현수익률)를 기존 관행의 결과와 비교하여 본 연구에서 제안한 시뮬레이션 모형의 유용성을 제안한다. 분석 대상은 국내 장외파생상품 및 ELS의 기준이 되는 KOSPI 200 지수로 1990년 1월 3일부터 2002년 12월 30일까지의 1일 자료를 이용한다.

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A Study on the Priority of RoboAdvisor Selection Factors: From the Perspective of Analyzing Differences between Users and Providers Using AHP (로보어드바이저 선정요인의 우선순위에 관한 연구: AHP를 이용한 사용자와 제공자의 차이분석 관점으로)

  • Young Woong Woo;Jae In Oh;Yun Hi Chang
    • Information Systems Review
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    • v.25 no.2
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    • pp.145-162
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    • 2023
  • Asset management is a complex and difficult field that requires insight into numerous variables and even human psychology. Thus, it has traditionally been the domain of professionals, and these services have been expensive to obtain. Changes are taking place in these markets, and the driving force is the digital revolution, so-called the fourth industrial revolution. Among them, the Robo-Advisor service using artificial intelligence technology is the highlight. The reason is that it is possible to popularize investment advisory services with convenient accessibility and low cost. This study aims to clarify what factors are critically important when selecting robo-advisors for service users and providers in Korea, and what perception differences exist in the selection factors between user and provider groups. The framework of the study was based on the marketing mix 4C model, and the design and analysis of the model used Delphi survey and AHP. Through the study design, 4 main criteria and 15 sub-criteria were derived, and the findings of the study are as follows. First, the importance of the four main criteria was in the order of customer needs > customer convenience > customer cost > customer communication for both groups. Second, looking at the 15 sub-criteria, it was found that investment purpose coverage, investment propensity coverage, fee level and accessibility factors were the most important. Third, when comparing between groups, the user group found that the fee level and accessibility factors were the most important, and the provider group recognized the investment purpose coverage and investment propensity coverage factors as important. This study derived useful implications in practice. First, when designing for the spread of the robo-advisor service, the basis for constructing a user-oriented system was prepared by considering the priority of importance according to the weight difference between the four main criteria and the 15 sub-criteria. In addition, the difference in priority of each sub-criteria shown in the group comparison and the cause of the sub-criteria with large weight differences were identified. In addition, it was suggested that it is very important to form a consensus to resolve the difference in perception of factors between those in charge of strategy and marketing and system development within the provider group. Academically, it is meaningful in that it is an early study that presented various perspectives and perspectives by deriving a number of robo-advisor selection factors. Through the findings of this study, it is expected that a successful user-oriented robo-advisor system can be built and spread in Korea to help users.