• IE interfaces
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• v.16 no.1
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• pp.54-62
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• 2003

With the ubiquitous use of the Internet in daily business activities, most of modern firms are keenly interested in customer's behaviors on the Internet. That is because a wide variety of information about customer's intention about the target web site can be revealed from IP address, reference address, cookie files, duration time, all of which are expressing customer's behaviors on the Internet. In this sense, this paper aims to accomplish an objective of analyzing a set of exemplar web log files extracted from a specific P2P site, anti identifying information about customer segmentation strategies. Major web mining technique we adopted includes a machine learning like C5.0.

• The monthly packaging world
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• s.278
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• pp.54-67
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• 2016

농식품 패키지디자인과 브랜드 개념은 이미 90년대 중반부터 중요성을 인식하고 있었으나, 생산자 위주의 포장디자인과 유사브랜드의 개발로 차별성이 없고 경쟁력이 떨어지고 있다. 특히 오늘날과 같이 고객의 요구가 다양해지고 시장이 세분화 되고 있는 상황에서 농산물도 품질, 기능, 가격 등의 차별화만으로는 더 이상 경쟁력을 확보할 수 없고, 다른 상품과 달리 소비자가 쉽게 구매결정을 하는 저관여제품이므로, 더욱 더 포장디자인의 역할이 중요하다고 볼 수 있다. 외국의 포장디자인의 현황 및 일본의 성공적인 6차 산업과 포장디자인의 사례를 분석한 후 농촌산업의 활성화를 위한 포장디자인의 발전 전략을 제안하고자 한다. 농산물 포장디자인의 기대효과는 농업의 고부가가치화, 농가소득 증대, 농촌경제 활성화를 위한 농촌산업화 전략이다. 이를 위해 체계적인 방안을 모색하여 차별화할 수 있는 연구를 지속적으로 진행하고, 특히 상품판매를 위한 포장디자인은 농산물 소비량 증대와 농촌경제를 성장시키는 중요한 역할을 하므로 이에 대한 전략 방안을 제시하였다.

• Asia pacific journal of information systems
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• v.16 no.3
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• pp.49-65
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• 2006

This study proposes a model for customer segmentation using the psychological characteristics of Internet banking customers. The model was developed through two phased clustering method, called SONN-HC by integrating self-organizing neural networks (SONN) and hierarchical clustering (HC) method. We applied the SONN-HC method to internet banking customer segmentation and performed an empirical analysis with 845 cases. The results of our empirical analysis show the psychological characteristics of Internet banking customers have significant differences among four clusters of the customers created by SONN-HC. From these results, we found that the psychological characteristics of Internet banking customers had an important role of planning a strategy for customer segmentation in a financial institution.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.89-92
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• 2004

웹 로그에는 개별 사용자를 식별할 수 있는 사용자 정보와 세션 정보가 포함되어 사용자 식별과 해당 URL은 알 수 있지만, 그 URL에 해당하는 페이지내에 어느 객체에 관심이 있어 클릭하는지 알 수 없고, 페이지내에서 외부 사이트로의 링크 부분을 클릭했을 시 로그 파일에 기록이 되지 않는다. 본 연구에서는 세션과 사용자 중심의 로그 기록 방식에 객체를 추가함으로써 복잡하고 다양해지는 객체 요소(동영상, 오디오, 플래시 등)가 포함된 웹사이트에서는 객체 중심의 로그 기록 방식이 고객의 행동 패턴을 분석하여 세분화된 개인화 서비스에 보다 효율적임을 관찰하였다.

• Asia Marketing Journal
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• v.5 no.3
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• pp.1-34
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• 2003

서비스마케팅문헌을 살펴보면 지각된 서비스품질 및 이에 대한 고객반응에 초점을 맞추어 이루어진 연구들이 많이 있다. 그러나 본 연구에서는 지각된 서비스품질이 실질적으로 서비스 구매자인 소비자의 재구매 행위와 어떤 인과관계가 있고 또한 로열티와는 어떤 인과성을 갖는지를 규명하는데 주력하였다. 아울러 이러한 인과성이 조절변수인 라이프스타일에 따라 어떤 차이가 발생하는지를 규명하고자 하였다. 지각된 서비스품질을 측정하는 있어서는 기존 SERVQUAL방식의 측정개념이 아닌 Johnson, Tsiros & Lancioni(1995)가 적용한 일반적 시스템 접근법(투입, 과정, 성과변수로 측정)을 활용하여 새롭게 접근하고자 노력하였다. 연구결과 지각된 서비스품질은 이를 구성하는 선행변수(투입요소와 과정 및 성과요소)와 긍정적인 정(+)의 인과관계를 나타내고 있으며, 특히 성과요소에 의해 서비스품질이 지각되는 경향이 매우 큰 것으로 분석되었다. 또한 지각된 서비스품질은 재구매 의사와 로열티에 긍정적인 영향을 미치고 있는 것으로 검증되었으며 이러한 모든 인과관계는 소비자들의 라이프스타일 유형에 따라 다르게 나타나고 있었다. 따라서 서비스산업에 있어 마케팅전략을 수립하는데 있어서도 유형적 제품과 마찬가지로 라이프스타일을 이용한 시장세분화 전략을 활용할 필요가 있다.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.4
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• pp.195-209
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• 2021

According to the 2019-2020 social media usage survey conducted by the Seoul e-commerce center, 5 out of 10 consumers have experienced shopping through social media. The cost of traditional advertising media has been reduced and advertising spending on social media has risen by 74%, indicating that social media is becoming a more important marketing element. While the number of users of social media has increased and corporate marketing activities have increased accordingly, research has been conducted in various aspects of marketing such as user motivation for social media, satisfaction, and purchase intention. There was no subdivided study on the differences in the social media usage frequency of consumers in actual purchasing behavior. This study attempted to identify differences in consumer characteristics by cluster in the agrifood purchase situation by grouping them by type according to the frequency of use of social media for consumers who purchase agri-food online. Product involvement, product need, and online purchase channel Consumer characteristics such as demographic distribution, perceived risk, and eating and lifestyle in each cluster were checked for the three agrifood purchase situations including choice, and types for each cluster were presented. To this end, questionnaire data on the frequency of social media use and online agrifood purchase behavior were collected from 245 consumers, and the validity of the measurement variables was secured through factor analysis and reliability analysis. As a result of cluster analysis according to the frequency of social media use, it was divided into three clusters. The first cluster was a group that mainly used open social media, and the second cluster was a group that used both open and closed social media and online shopping malls; The third cluster was a group with low online media usage overall, and the characteristics of each cluster appeared. Through regression analysis, the effect on product involvement, product need, and purchase channel selection when purchasing agri-food online through each of the three clusters was confirmed through regression analysis. As a result of the regression analysis, the characteristic of cluster 1 in the situation of purchasing agri-food online is a male in his 30s living in a rural area who has no reluctance to purchase agri-food on social media or online shopping malls. The characteristics of cluster 2 are mainly consumers who are interested in purchasing health food, and the consumer characteristics are represented. In the case of cluster 3, when purchasing products online, they purchase after considering quality and price a lot, and the consumer characteristics are represented as people who are more confident in purchasing offline than online. Through this study, it is judged that by identifying the differences in consumer characteristics that appear in the agri-food purchase situation according to the frequency of social media use, it can be helpful in strategic judgments in marketing practice on social media customer targeting and customer segmentation.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.300-310
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• 2011

The purpose of this study was to examine the relationship between internal marketing, organizational commitment and business performance. Therefore this study is helped to build the strategies that is more efficient internal marketing and organizational commitment for the hospital business. A cross-sectional design was used, with a convenience sample of 284 registered nurses from two university hospitals, two general hospitals and two maternal-child hospital in one region. Collected data were analyzed by descriptive statistics, Pearson's correlation coefficient and multiple regression through the SPSS WIN program. The predicting factors for communication and organizational commitment had the explanation power of 41.5% in business performance by the individual. The hospital size, compensation and segmentation system comprise about 53.2% of business performance by the organizations. So, nursing leaders should be interest in the strategies for good business performance. It is possible that they implement the policies to suitable internal marketing strategies and the program to improve organizational commitment for nurses.

• Journal of Global Scholars of Marketing Science
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• v.16 no.2
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• pp.55-75
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• 2006

This study aims to identify the unknown essential condition to form the blue ocean market, in addition to the innovation of customer value which does not become a sufficient condition though it is one of the essential conditions to form a blue ocean market, and induce companies to take a firm foothold in the blue ocean market after going to the blue ocean market by segmenting the market after setting up appropriate strategies. On the basis of those goals of this study, we dealt with subjects like the problem of approaching the market that possesses factors of differentiated value innovation, the segmentation of value innovative market, the problem about the major variables that shed light on the character of blue ocean optical illusion market, the strategy for following companies to enter the market, which we applied to the actual analysis based on the investigation into the literature related to value innovation and blue ocean strategy, investigation into the actual cases and objective data. We analysed a domestic refrigerator market and a domestic chewing gum market as representative examples of durables and nondurables and segmented each market on a value innovation market. We discovered the blue ocean and the blue ocean's illusive market of the two markets. I've mentioned and studied the characters of those positively.

• Culinary science and hospitality research
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• v.16 no.4
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• pp.139-150
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• 2010

The purpose of this study is to examine the market segments of Korea specialty coffee shops based on the benefit variables by customers when they visit a coffee shop. For this study, SPSS WIN 17.0 was used for the frequency analysis, factor analysis, reliability test, cluster analysis, one-way ANOVA and cross tabulation. Benefit factors were divided into atmosphere factor, value factor, marketing factor, cleanliness & comfort factor, and service factor. Three distinct segments of customers were identified: passive benefit seekers, marketing benefit seekers and emotion benefit seekers. In order to explore differences between clusters and demographic and behavior variables, cross tabulation were used. These findings could be helpful for the marketers who need to establish a marketing strategy for grasping the characteristics of market segments and generating profits.