• 대한인간공학회지
• /
• 제17권1호
• /
• pp.37-46
• /
• 1998

A human sensibility ergonomics design supporting system was applied to the product development for the customer's satisfaction based on ergonomics technology. The system is composed of three major subsystems such as customer's sensibility analysis, inference mechanism, and presentation technology. The main approaches of the system are to analyze customer's sensibilities and to translate them into product design elements. The purpose of this paper is to develop a design supporting system in which the relationship between customer's sensibility and product design elements is reasoned by a MADM(Multi-Attribute Decision Making) fuzzy model. In this model, three variables such as multiple correlation coefficients, partial correlation coefficients, and category scores were used in reasoning process. The weighted value of the words were also considered in fuzzy decision process. As a case study, the design supporting system with the MADM fuzzy model was applied to the personnel computer design.

• 한국경영과학회:학술대회논문집
• /
• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
• /
• pp.143-146
• /
• 2004

With the rapid growth of e-commerce, marketers are able to observe not only purchasing behavior on what and when customers purchased, but also the individual Web usage behavior that affect purchasing. The richness of this information has the potential to provide marketers with an in-depth understanding of customer. Using commonly available Web log data, this paper examines Web usage behaviors at the individual level. By decomposing the buying process into a pattern of visits and purchase conversion at each visit, we can better understand the relationship between Web usage behavior and purchase decision. This allows us to more accurately forecast a shopper's future purchase decision at the site and hence determine the value of individual customers to the siteAccording to our research, not only information seeking behavior but also visiting duration of a customer and participative behavior such as participation in event should be considered as important predicators of purchase decision of customer in a cosmetic internet shopping mall.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2003년도 춘계학술대회
• /
• pp.206-213
• /
• 2003

Application of existing decision tree algorithms for Internet retail customer classification is apt to construct a bushy tree due to imprecise source data. Even excessive analysis may not guarantee the effectiveness of the business although the results are derived from fully detailed segments. Thus, it is necessary to determine the appropriate number of segments with a certain level of abstraction. In this study, we developed a stopping rule that considers the total amount of information gained while generating a rule tree. In addition to forwarding from root to intermediate nodes with a certain level of abstraction, the decision tree is investigated by the backtracking pruning method with misclassification loss information.

• Journal of the Korean Data and Information Science Society
• /
• 제13권1호
• /
• pp.121-127
• /
• 2002

The volume of electronic commerce based on Internet and network traffic is increasing rapidly. The objective of this study is to examine the current status of the exponentially multiplying cyber-shopping mall phenomenon. To this end, data obtained from a single cyber-shopping mall exemplified customer purchasing behavior and provided decision tree and correspondence analysis derived customer segmentation and merchandise.

• 한국경영정보학회:학술대회논문집
• /
• 한국경영정보학회 2007년도 추계학술대회
• /
• pp.527-532
• /
• 2007

Differentiation strategies have been suggested as the critical sources of competitive advantage in B2C industry where customers can switch internet shopping mall with one click with virtually no transaction cost. Indeed, competition on low pricing cannot be a viable strategy in B2C industry. Moreover, cultivating customer loyalty to attain profitability is still a challenging task for most internet shopping mall. In this study, we provide empirical analysis results on key managerial variables that indicate the difference between the product categories in terms of customer perception on relative value importance. We first identified comprehensive managerial variables and organized them in terms of customer decision stage. Next, with reference to extant literatures on product characteristics based e-commerce strategy, hypotheses are developed to formalize the customer value differences on the key managerial variables. Empirical testing results indicated that there are significant differences on customer perceived value of the key managerial variables between the product groups. The findings provide useful insight for further study on e-commerce differentiation strategy.

• 한국조리학회지
• /
• 제10권1호
• /
• pp.46-63
• /
• 2004

The service quality factors which causes an effect in restaurant selections appeared with gain and loss factors of essence and the customers. The restaurant recommendation factor was appeared with shedding of blood characteristics. The research which sees Korean-style food party's decision making is difficult with the plan of the security and loyalty of customers presented. The marketing strategy for the customer loyalty of Korean-style food party will be able to be overcome. The critical point of the research which sees for the security of the loyalty customer selects a target market, and the strategy which invades intensively is necessary. The Korean-style food party decision may cause the customer fractionation anger which follows in market fractionation anger. It does not become accomplished from the research which sees but with the critical point of research to appear, the research of creation of the loyalty customer who applies a market fractionation anger necessity will be becomes feed with hereafter research subject.

• 경영정보학연구
• /
• 제8권3호
• /
• pp.125-134
• /
• 2006

본 연구에서는 온라인 자동차보험 고객 이탈 예측에 있어 의사결정나무를 적용하였다. 우리는 본 연구에서 2003년과 2004년 사이에 온라인 자동차 보험을 계약한 고객의 데이터를 이용하여 의사결정나무를 이용해 고객이탈을 예측하였다. 우리는 C5.0 알고리즘에 기반을 둔 의사결정나무의 예측 결과에 대한 비교를 위해 다변량판별분석과 로짓분석을 이용하였다. 분석결과 의사결정나무 알고리즘은 다른 기법보다 예측성과가 매우 뛰어난 것으로 나타났다. 이러한 실증분석 결과는 온라인 자동차 보험에 있어서 마케팅전략 수립에 유용한 가이드라인을 제공해 줄 것이다.

• 한국유통학회지:유통연구
• /
• 제5권2호
• /
• pp.69-90
• /
• 2001

본 논문은 고객의 기업에 대한 관계지향성이 어떠한 요인에 의해 이루어지는지를 연구한 것이다. 보다 구체적으로, 고객의 관계지향성은 크게 고객만족 수준과 거래성향에 의해 영향을 받으며, 고객만족은 품질 불일치에 의해 영향을 받는다는 가설이 설정되었다. 여기서, 거래성향을 구성하는 요소는 거래상의 의사결정 효율성, 의사결정 관성, 점포 내 정보수집, 그리고 지각된 위험이다. 본 가설의 검증을 위해 분당 지역의 백화점과 할인점의 고객 494명을 대상으로 설문조사를 실시하였다. 설문조사 결과, 고객의 관계지향성은 의사결정의 효율성, 의사결정의 관성, 고객만족에 의해 영향을 받으며, 고객만족은 품질 불일치에 의해 영향을 받는 것으로 나타났다. 그러나 점포 내 정보수집과 지각된 위험은 관계지향성에 영향을 미치지 않는 것으로 나타났다. 향후 이에 대한 보다 심층적인 연구가 기대된다.

• 대한안전경영과학회지
• /
• 제4권4호
• /
• pp.109-118
• /
• 2002

Such effects would be paid off in the right way only when management of the firms perform marketing activities focusing on long term effectiveness, which would drive company profits up and keep them for long. Demands of customers are being changed and varied. In this result with the advantage of mass marketing and database marketing have been drawing attentions from company. To fulfill these demands of customer, they need a concept of eCRM(Web based Customer Relationship Management), and go from selling products and services, or gathering customer requests, up to the phase of solving customer's problem by real time or previous action. With the help of internet, the frequency and speed of the problem solving has improved greatly. For these purposes, we try to determine the most important and most urgent factors in eCRM: utilization by using SN Ratio Decision making, one of the Multi-criteria decision-making methods SN Ratio Decision making is widely used for determining relative magnitude per evaluation item, i. e. priority on problems and is expected to make more systematic and objective evaluations than conventional methods do. Even in the present situation where any general criterion on eCRM dose not exist, utilization of eCRM is expected to be actively continued, which will cause many problems. In this regard, evaluating eCRM counts.

• The Journal of Asian Finance, Economics and Business
• /
• 제6권1호
• /
• pp.195-203
• /
• 2019

The study aims to identify Service Quality factors that affect purchase decision on Click and Collect service through the mediating variable of customer emotions at Mobile World stores in Ho Chi Minh City. This study employs a mixed methods research design. Data were collected through online self-completion questionnaire distributed to 316 customers who used to experience Click and Collect service at the Mobile World stores in Ho Chi Minh City, Vietnam. The theoretical model was tested through two-stage regression analysis (PATH model). The findings show that factors of service quality such as Reliability, Responsiveness, Assurance, Empathy, Tangibility, and Emotions affect the decision to purchase online and receive products directly at Mobile World stores in Ho Chi Minh City. Responsiveness and Assurance have a significant positive impact on the customer's emotions. Consequently, these factors should be considered and addressed when conducting multi-channel services. Obviously, employees must first be trained to be able to deliver the promise of the retailer to their customers. Based on the results of the study, the authors provide managerial implications for retailers in Vietnam in the multi-channel retail environment to develop Click and Collect at retail stores across the country and the world.