• Title/Summary/Keyword: 인터넷 마케팅

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Impact of Fashion On-line Community Characteristics on Brand Loyalty: Comparisons among Lifestyle Groups (패션 온라인 커뮤니티 특성이 브랜드 충성도에 미치는 영향: 라이프스타일 집단 간 비교)

  • Ko, Eun-Joo;Kim, Kyung-Hoon;Kwon, Joon-Hee
    • Journal of Global Scholars of Marketing Science
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    • v.16 no.3
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    • pp.87-106
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    • 2006
  • Importance of on-line community has been increased and also on-line community has been used as an important marketing tool. Fashion companies also considered that on-line community provides opportunities to develop customer relationship and to improve customer loyalty. The purpose of this study is 1) to identify the characteristics of fashion on-line community, 2) to investigate the differences of factors affecting brand loyalty among fashion lifestyle groups. For data collection, on-line survey was conducted for fashion on-line community members in Daum portal site and total 404 subjects were used for this study. Factor analysis, cluster analysis, and regression analysis were used for data analysis. The results of this study were as follow: first, characteristics of fashion on-line community were classified as three factors: 'interactivity', 'information provision' and 'interest provision'. Second, the impact of fashion on-line community characteristics on brand loyalty were found to be significantly different among lifestyle groups. The results from this empirical study provide basic information for strategic planning about fashion on-line community by analyzing characteristics of on-line community users.

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Customer Relationship Management Techniques Based on Dynamic Customer Analysis Utilizing Data Mining (데이터마이닝을 활용한 동적인 고객분석에 따른 고객관계관리 기법)

  • 하성호;이재신
    • Journal of Intelligence and Information Systems
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    • v.9 no.3
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    • pp.23-47
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    • 2003
  • Traditional studies for customer relationship management (CRM) generally focus on static CRM in a specific time frame. The static CRM and customer behavior knowledge derived could help marketers to redirect marketing resources fur profit gain at that given point in time. However, as time goes, the static knowledge becomes obsolete. Therefore, application of CRM to an online retailer should be done dynamically in time. Customer-based analysis should observe the past purchase behavior of customers to understand their current and likely future purchase patterns in consumer markets, and to divide a market into distinct subsets of customers, any of which may conceivably be selected as a market target to be reached with a distinct marketing mix. Though the concept of buying-behavior-based CRM was advanced several decades ago, virtually little application of the dynamic CRM has been reported to date. In this paper, we propose a dynamic CRM model utilizing data mining and a Monitoring Agent System (MAS) to extract longitudinal knowledge from the customer data and to analyze customer behavior patterns over time for the Internet retailer. The proposed model includes an extensive analysis about a customer career path that observes behaviors of segment shifts of each customer: prediction of customer careers, identification of dominant career paths that most customers show and their managerial implications, and about the evolution of customer segments over time. furthermore, we show that dynamic CRM could be useful for solving several managerial problems which any retailers may face.

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Factors Influencing Satisfaction of Branded App and Purchasing Intention: Moderation Role of Product Involvement (브랜드 앱 만족도와 구매의도의 영향요인: 제품관여도의 조절효과)

  • Jin Xinhua;SooYeon Chung;Cheol Park
    • Information Systems Review
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    • v.18 no.4
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    • pp.121-140
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    • 2016
  • Today, consumers are interested in branded apps as new marketing channels. Consumers do not have ready access to information that will enable them to judge the quality of a particular product or service before purchase, but they will gain such information with branded apps. As they need to be actively chosen and downloaded to users' smartphone by the users themselves, branded apps have greater marketing effectiveness and influence than traditional channels. Therefore, corporations that place emphasis on interactions with customers anticipate a new marketing effect with their branded apps. With previous research on smartphone applications as a background, this research finds key factors in branded apps that influence users' satisfaction. Additionally, the study centers on the relationship in which satisfaction in the branded app significantly influences the purchase intention for the branded product/service.

Web Cogmulator : The Web Design Simulator Using Fuzzy Cognitive Map (Web Cogmulator : 퍼지 인식도를 이용한 웹 디자인 시뮬레이터에 관한 연구)

  • 이건창;정남호;조형래
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2000.04a
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    • pp.357-364
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    • 2000
  • 기존의 웹 디자인은 웹이라는 매체의 특성 상 디자인적인 요소가 매우 중요함에도 불구하고 디자인은 위한 구체적인 방법론이 미약하다. 특히, 많은 소비자들을 유인하고 구매를 촉발시켜야 하는 인터넷 쇼핑몰의 경우에는 더욱 더 그럼하에도 불구하고 이를 위한 전략적인 방법론이 부족하다. 즉, 기존 연구들은 제품의 다양성, 서비스, 촉진, 항해량, 편리성, 사용자 인터페이스 등이 중요하다고 하였지만 실제 인터넷 쇼핑몰을 디자인하는 입장에서는 활용하기가 상당히 애매하다. 그 이유는 이들 요인들은 서로 영향관계를 가지고 있어서 사용자 인터페이스가 복잡하면 항해량이 늘어나 편리성이 감소하고, 제품이 늘어나더라도 검색엔진을 사용하면 상대적으로 항해량이 감소하게 되어 편리성이 증가한다. 따라서, 이들 요인을 활용하여 인터넷 쇼핑몰을 구축하려면 요인간의 영향관계를 면밀히 파악하고 이 영향요인이 소비자의 구매행동에 어떠한 영향을 주는지가 충분히 검토되어야 한다.이에 본 연구에서는 퍼지인식도를 이용하여 인터넷 쇼핑몰 상에서 소비자의 구매행동에 영향을 주는 요인을 추출하고 이들 요인간의 인과관계를 도출하여 보다 구체적이고 전략적으로 인터넷 쇼핑몰을 디자인할 수 있는 방법으로 web-Cogmulator를 제시한다. Web-Cogmulator는 소비자의 쇼핑몰에 대한 암묵지식 형태의 구매행동을 형태지식화하여 지식베이스 형태로 가지고 있기 때문에 인터넷 쇼핑몰의 다양한 요인의 변화에 따른 소비자의 구매행동을 추론 시뮬레이션하는 것이 가능하다. 이에 본 연구에서는 기본적인 인터넷 쇼핑몰 시나리오를 바탕으로 추론 시뮬레이션을 실시하여 Web-Cogmulator의 유용성을 검증하였다.를, 지지도(support), 신뢰도(confidence), 리프트(lift), 컨빅션(conviction)등의 관계를 통해 다양한 방법으로 모색해본다. 이 연구에서 제안하는 이러한 개념계층상의 흥미로운 부분의 탐색은, 전자 상거래에서의 CRM(Customer Relationship Management)나 틈새시장(niche market) 마케팅 등에 적용가능하리라 여겨진다.선의 효과가 나타났다. 표본기업들을 훈련과 시험용으로 구분하여 분석한 결과는 전체적으로 재무/비재무적 지표를 고려한 인공신경망기법의 예측적중률이 높은 것으로 나타났다. 즉, 로지스틱회귀 분석의 재무적 지표모형은 훈련, 시험용이 84.45%, 85.10%인 반면, 재무/비재무적 지표모형은 84.45%, 85.08%로서 거의 동일한 예측적중률을 가졌으나 인공신경망기법 분석에서는 재무적 지표모형이 92.23%, 85.10%인 반면, 재무/비재무적 지표모형에서는 91.12%, 88.06%로서 향상된 예측적중률을 나타내었다.ting LMS according to increasing the step-size parameter $\mu$ in the experimentally computed. learning curve. Also we find that convergence speed of proposed algorithm is increased by (B+1) time proportional to B which B is the number of recycled data buffer without complexity of computati

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A Study on the Effect of Accept Intention for Internet-Only Bank According to Service Providers (서비스 제공자에 따른 인터넷 전문은행 서비스 수용의도에 미치는 영향에 관한 연구)

  • Jung, Sung-Gwang
    • Management & Information Systems Review
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    • v.37 no.4
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    • pp.157-174
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    • 2018
  • The purpose of this study is to examine service acceptance process of Internet-Only Bank centered on perceived usefulness, confirmation, service satisfaction, adoption intention. this study examine relation of perceived usefulness, confirmation, service satisfaction based on previous studies. And we examine the effect of Internet-Only Bank satisfaction on adoption intention. Also, we studied the relationship between perceived usefulness, confirmation, service satisfaction according to Internet-Only Bank services providers. The following are main results of this study. First, perceived usefulness, confirmation have significant effects on service satisfaction. Second, service satisfaction of Internet-Only Bank have a positive effect on adoption intention of Internet-Only Bank. Third, The relationship between perceived usefulness, confirmation and service satisfaction is differ depending on Internet-Only Bank services providers. Based on these findings, in this study examined the significant influence of Internet-Only Bank. Through this study, we propose to marketing practitioners the need for a splitted strategy based on Internet-Only Bank services providers.

A Study on the Construction Method of Collaboration Environment for Web (Web에서의 협력 환경 구축 방안 연구)

  • Lee, Jae-Ho
    • Journal of The Korean Association of Information Education
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    • v.1 no.1
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    • pp.74-81
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    • 1997
  • The World Wide Web (Web) is one of the most popular internet tool on now, In this reason most of common user, they understand the Web is internet and Web content is also important issues on this side. However, commonly Web content created by one of Web content creator and sometime they refer the another document and link. In these kinds of environments cause tile delivery of incorrect information or linking to another Web user. There are lots of way to protect the incorrect information deliveries to Web user and the most famous one is Computer Supported Cooperation Work (CSCW). This supports the multi-user environment on single system environment, but this needs more additional things in the current internet environment Current internet defined as distributed information network not tile traditional client-server environment. Specially, Intranet environments need to support the heterogeneous system environment like several Rinds of database, systems like PC, Mac and UNIX workstation, and etc. In this reason, we need collaboration and this would serve the common user interface to all of Web user. In these paper, we review the current concept of CSCW and grouoware that are major concept of collaboration and definition, classification and problem analysis of the collaboration. Finally, we suggest the construction method of collaboration environment for Web.

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Internet Shopping Value, Store Image, Customer Satisfaction, and Re-Visit Intention - A Comparison by Product Types - (인터넷 쇼핑가치, 점포이미지와 고객만족 및 재방문의도 - 구매제품유형별 비교 -)

  • Kim, Kyung-Hee
    • The Journal of the Korea Contents Association
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    • v.8 no.3
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    • pp.173-181
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    • 2008
  • This study aims to prove the connection between satisfaction and re-visit intention of customers by examining shopping value and store image depending on product types purchased at Internet shopping malls. The finding of this study revealed that shopping value could be classified into hedonic and utilitarian value, while store image could be extracted into six dimensions such as reputation, product and information service, customer service after purchase, atmosphere, convenience, and safety. Both search goods and experience goods among store image factors were found to have stronger effect on utilitarian shopping value than hedonic shopping one. In addition, it was found that store image and shopping value had an effect on customer satisfaction and re-visit intention depending on product types, with a significant difference. These findings are expected to provide marketing complications for the understanding of differentiated market segments in the Internet shopping mall market, which is facing ever-growing market.

Optimized Web Design Method by Analyzing the Websites (웹사이트 분석을 통한 최적화 설계 방안)

  • Jang, Hee-Seon
    • Convergence Security Journal
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    • v.15 no.2
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    • pp.19-24
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    • 2015
  • As the Internet usage such as Web3.0, future internet, and internet of things increases, the big data through information exchange between the users and web servers increases. Analyzing those web data, the commercial web sites use the analytic results for marketing and campaign, and non-commercial web sites also use the results to improve the user's services satisfaction. In this paper, the quantitative index is presented to analyze the web sites, and optimized web site design method is also presented through the correlation analysis of index and significance test. From the results for 138 web sites, it is observed that strong plus(+) correlation for visits-unique visitors and page views-average visit duration exists. We also observe the minus(-) correlation between bounce rate and page views per user(or ratio of new visits). In specific, to reduce the bounce rate for users, the strategy to increase the page views and ratio of new visits rather than visits and unique visitors is needed.

A Study on the factors affecting Purchasing Intentions of Internet Shopping Mall (인터넷 쇼핑몰의 구매 의도에 미치는 영향요인)

  • Gam, Hua-Jun;Kim, Dae-Ho
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.7 no.3
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    • pp.105-113
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    • 2012
  • There are many studies about the relationship between customer satisfaction and SCM, web site quality or online Word of Mouth (WOM). When a customer wants to purchase any product online, he has to watch the detail of a online shopping web by computer. So the web sits' quality can be very important for the customer to get enough information. Recently, internet shopping malls are very much prospered. To understand why these kinds of internet transactions become very popular, this study investigates a possible effect of such crucial factors as web site quality, supply chain management(or deliver service), and online Word of Mouth(WOM) of an internet shopping mall to its customer satisfaction and trust, eventually leading to purchasing product and services. This study develops a experimental research model and tests it based on 170 survey response using regression analysis.. The finding of this research implies that system quality, information quality, quick and correct, accurate delivery service, and online WOM are influential factors to the performance of online shopping mall, while design quality, cost of delivery do not affect relationship significantly.

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Propagation Models for Structural Parameters in Online Social Networks (온라인 소셜 네트워크에서 구조적 파라미터를 위한 확산 모델)

  • Kong, Jong-Hwan;Kim, Ik Kyun;Han, Myung-Mook
    • Journal of Internet Computing and Services
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    • v.15 no.1
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    • pp.125-134
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    • 2014
  • As the social media which was simple communication media is activated on account of twitter and facebook, it's usability and importance are growing recently. Although many companies are making full use of its the capacity of information diffusion for marketing, the adverse effects of this capacity are growing. Because social network is formed and communicates based on friendships and relationships, the spreading speed of the spam and mal-ware is very swift. In this paper, we draw parameters affecting malicious data diffusion in social network environment, and compare and analyze the diffusion capacity of each parameters by propagation experiment with XSS Worm and Koobface Worm. In addition, we discuss the structural characteristics of social network environment and then proposed malicious data propagation model based on parameters affecting information diffusion. n this paper, we made up BA and HK models based on SI model, dynamic model, to conduct the experiments, and as a result of the experiments it was proved that parameters which effect on propagation of XSS Worm and Koobface Worm are clustering coefficient and closeness centrality.