• 실천공학교육논문지
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• 제6권2호
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• pp.111-117
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• 2014

이 연구에서는 취업정보센터 웹사이트 이용자의 컨텐츠 특성(사용자 편의성, 정보성, 고객서비스성)에 대한 지각이 이용자 반응(이용자 만족도, 이용자 애호도)에 미치는 영향을 분석하였다. 주요 연구결과로 첫째, 취업정보센터 웹사이트 컨텐츠 특성들은 이용자 만족도를 36.4% 설명하는 것으로 나타났고, 상대적 영향력은 정보성, 사용자편의성, 고객서비스성 순으로 나타났다. 둘째, 취업정보센터 웹사이트 컨텐츠 특성들은 이용자 애호도를 36.2% 설명하는 것으로 나타났고, 상대적 영향력은 정보성, 고객서비스성, 사용자편의성 순으로 나타났다. 이를 통해 취업정보센터 웹사이트 이용자들의 만족도와 애호도를 높이기 위해서는 웹사이트 컨텐츠에 대한 고려가 중요함을 알 수 있었다.

• Journal of information and communication convergence engineering
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• 제3권4호
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• pp.209-212
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• 2005

This study proposes hybrid case-based reasoning and genetic algorithms model for customer classification. In this study, vertical and horizontal dimensions of the research data are reduced through integrated feature and instance selection process using genetic algorithms. We applied the proposed model to customer classification model which utilizes customers' demographic characteristics as inputs to predict their buying behavior for the specific product. Experimental results show that the proposed model may improve the classification accuracy and outperform various optimization models of typical CBR system.

• 산업경영시스템학회지
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• 제20권44호
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• pp.447-462
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• 1997

Customer satisfaction is one of the major issues in current marketing research. Among many studies on this issue, the best known is the determinants of customer satisfaction. This study is focused the involvement as a moderator of customer satisfaction. The data were collected from 113 students who have an experience using or buying the products and services. The present study found that the customer satisfaction has a relation with the following major characteristics. These are: 1) The direct effect of expectation on the customer satisfaction is significant in case of high involvement service. 2) The direct effect of performance has a difference between high involvement and low involvement. 3) And the direct effect of disconfirmation on the customer satisfaction is significantly different from the levels of involvement.

• 한국경영과학회지
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• 제33권2호
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• pp.115-135
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• 2008

An interesting problem in capacitated supply chains is how to guarantee customer service levels with limited resources. One of the common approaches to solve the problem is differentiating service depending on customer classes. High-priority customers receive a better service at the cost of low-priority customers' service level. One of common criteria to determine a customer's priority in practice is whether he has made a reservation before arrival or not. Customers with a reservation usually receive service based on the time the reservation was made. We examine the effect this advance information of customer arrival has on customer service levels. We show the trade-offs between the leadtime and other system characteristics such as the proportion of high-priority customers. when the service level is high. We also suggest how to differentiate service using the asymptotic ratio of the service levels for both types of customers.

• 경영과학
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• 제19권2호
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• pp.205-220
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• 2002

As the business structure of many industries changes under IT progress and internet economy, the customer information has emerged a key factor in setting up the management policy. The customer has come to replace the product as a central figure in business competition. The domestic life insurance market has also experienced the rapid structural changes in IT time. The competition in the insurance industry to maintain the existing membership and to attract the new members gets stronger under such a new business circumstance. Accordingly, it is necessary for an individual insurance company to develop a systematic marketing plan, based on the customer information, to be competitive in the market. Unlike other studies in which customer characteristics are neglected, this study attempts to utilize the customer information by applying the data mining technique, and then suggests an efficient marketing strategy that could prevail in the competitive business environment.

• 대한산업공학회지
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• 제33권3호
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• pp.339-348
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• 2007

Since the 1980s, the marketing paradigm has rapidly changed from product-driven marketing to customer-driven marketing. Recently, due to an increase in the amount of information, customer-differentiation strategies have been emphasized more than product-differentiation strategies. This paper suggests a methodology for new customer segmentation and purchase forecasting using changes in customer behavior. This methodology includes a segmentation method for new customers using existing customer's characteristics and a purchase-forecasting system using the purchase-behavior patterns of existing customers. The proposed methodology not only provides differential services from a segmentation system but also recommends differential items from the purchase forecasting system for new and existing customers.

• 한국의류학회지
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• 제33권6호
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• pp.968-979
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• 2009

본 연구의 목적은, 의류산업 리테일 매니저의 매스커스터마이제이션 도입 의향과 의류소비자의 매스커스터마이제이션 제품 구입 의향에, 영향을 미치는 4가지 특성적 요인을 분석함에 있다. 매스커스터마이제이션 도입 의향을 결정하는 4가지 특성적 요인으로, 기업, 개인, 기술, 환경적 특성이 제시되었다. 66명의 매니저와 274명의 20대 소비자를 대상으로 설문조사하여, 제시된 가설 중 7개의 가설이 채택되었다. 매스커스터마이제이션 도입 의향에 유의한 영향을 미치는 요인으로는, 의류매장 및 매니저의 기술, 환경적 특성, 그리고 의류소비자의 개인, 기술, 환경적 특성으로 나타났다. 가장 유의한 영향을 미치는 요인으로 기술적 특성이었는데, 개인 주문생산 서비스를 실현하기 위해 소비자와 원활한 상호작용이 가능한 기술 환경적 시스템 구축이 선행되어야 할 것으로 나타났다. 이밖에 3D Body Scanning, QR, IT 기술들의 필요성 인지도 및 도입 의향과, 매스커스터마이제이션 도입 의향과는 매우 유의한 상관관계가 있었다. 본 연구의 또 한가지 결실은, CRM 도입에 대한 매니저 및 소비자의 높은 관심도였다. 의류소비자 개개인의 니즈에 맞춘 생산 설계를 통한 유연생산시스템과 함께, 고객과 직접 교류하는 소비자 중심의 경영은 메스커스터마이제이션 도입의 발판이 될 것으로 나타났다.

• 한국병원경영학회지
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• 제18권3호
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• pp.1-26
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• 2013

To improve the competitiveness of the hospital provides high quality medical services in a hospital coordinator role is emphasized. This study on customer orientation of the role ambiguity in order to identify the impact of degree of customer orientation were analyzed for demographic differences. Dependent variable, customer orientation affects role ambiguity as independent variables, and regression analysis were set. And the control variables are set to support situational factors, customer orientation on the role ambiguity and hierarchical regression analysis was performed. Obtained through empirical results are as follows: First, according to the demographic characteristics of the hospital coordinator customer orientation, the difference between gender and medical subjects are not shown. Age, education, work experience, job title, and the hospital on the pattern of customer orientation has shown a difference. Second, according to the hospital coordinator role ambiguity about its impact on customer orientation analysis can be a role implementation, job implementation, opinion communication in achieving customer orientation was negatively affected. Third, role ambiguity, and customer orientation factors for the moderating effects of organizational support for the role of customer orientation can role implementation, job implementation, opinion communication was a statistically significant. Fourth, the role ambiguity factors and customer orientation for the administrative support for the moderating effect of customer orientation and role implementation is significant, but job implementation, opinion communication were statistically significant. Fifth, the role ambiguity factors and customer support for customer orientation and customer orientation for the moderating effects of role performance and the opinion communication was not statistically significant. However, job implementation was statistically significant. The limitations of this study are as follows: First, role ambiguity, situational factors and support due to limitations of the variable factors that may affect the customer orientation of a number of factors were excluded. So many exogenous variables in the measurement process can affect. Second, the variables measured as problems of self-assessment by the variable measuring the respondent's bias may occur. Third, This study is difficult to generalize. In other words, several areas of the province conducted by the empirical results of the survey as a limit on the overall generalization can follow.

• 경영정보학연구
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• 제25권1호
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• pp.111-128
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• 2023

인공지능(AI) 기술이 발전함에 따라 빅데이터 기반의 상품 선호도 추정 개인화 추천시스템에 관심이 증가하고 있는 추세이다. 하지만 개인화 추천이 적합하지 않은 경우 고객의 구매 의사를 감소시키고 심지어 금융상품의 특성상 막대한 재무적 손실로 확대될 수 있는 위험을 가지고 있다. 따라서 고객의 특성과 상품 선호도를 포괄적으로 반영한 추천시스템을 개발하는 것이 비즈니스 성과 창출과 컴플라이언스 이슈 대응에 매우 중요하다. 특히 금융상품의 경우 개인의 투자성향과 리스크 회피도에 따라 고객의 상품 선호도가 구분되므로 축적된 고객 행동 데이터를 활용하여 맞춤형 추천서비스를 제안하는 것이 필요하다. 이러한 고객의 행동 특성과 거래 내역 데이터를 사용하는 것뿐만 아니라, 고객의 인구통계정보, 자산정보, 종목 보유 정보를 포함하여 추천 시스템의 콜드 스타트 문제를 해결하고자 한다. 따라서, 본 연구는 고객의 거래 로그 기록을 바탕으로 고객의 투자성향과 같은 특성 정보와 거래 내역 및 금융상품 정보를 통해 고객별 금융상품 잠재 선호도를 도출하여 딥러닝 기반의 협업 필터링을 제안한 모형이 가장 성능 우수한 것을 확인하였다. 본 연구는 고객의 금융 투자 메커니즘을 기반으로 금융상품 거래 데이터를 통해 미거래 금융상품에 대한 예상 선호를 도출하는 추천 모델을 구축하여, 선호가 높을 것으로 예상되는 상위 상품군을 추천하는 서비스를 개발하는 것에 의의가 있다.

• 한국식생활문화학회지
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• 제27권2호
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• pp.95-104
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• 2012

The purpose of this study was to develop definite and practical marketing strategies for coffee shop managers or preliminary founders through empirical analysis of the effects of desert menu quality characteristics a mainstay of coffee shop-on store choice and revisit frequency. The results of this study are summarized as follows. The results showed that the menu quality characteristics taste, price, hygienic conditions, and health had significant effects on store choice and repurchase frequency through customer satisfaction, whereas originality was rejected due to the lack of menu originality. Both shop choice and repurchase frequency through customer satisfaction were also significant. This suggests that there is a need for the development of a diverse desert menu to increase competitiveness, creation of new customers, and regular customer management.