• The Journal of Society for e-Business Studies
• /
• v.15 no.1
• /
• pp.17-37
• /
• 2010

Currently, online searching sites offer a variety of services such as just sorting by price, manufacturer, sorting by release date for sale as well as the product reviews to help and enjoy online shopping provided consumers with more shopping information. The purpose of this study is to examine the effects of online product reviews attributes (informativeness and usefulness) and familiarity on consumers' loyalty in online product searching site via trust and satisfaction. To identify these relationships, the secondary data or past studies were collected and theoretically arranged. I made the theoretical proposed model to explain the relationships between the constructs, identify the operational definitions and 8 Hypotheses were established, there was executed the survey of 175 customers. As the result of test that make the relations of used variables clear, i can get the conclusion; site familiarity and informativeness, Usefulness of online reviews have the positive effect empirically on trust building and loyalty. From the empirical test, i suggest the strategic advices in online product searching site. To increase the consumers' loyalty, it would be developed that a variety of methods and ways to raise the site familiarity and informativeness, usefulness in online product reviews. It is necessary for sticking the consumers to raise the positive trust building and satisfaction. The results of this study would help companies operating the online product searching site.

• Proceedings of the Korean Information Science Society Conference
• /
• 2000.10c
• /
• pp.431-433
• /
• 2000

최근 비교 쇼핑 에이전트 기술을 적용하여 소비자가 원하는 상품을 최적의 가격으로 구매할 수 있도록 여러 쇼핑몰들의 상품 정보를 검색해 주는 비교 쇼핑 사이트들이 등장하고 있다. 이들 비교 쇼핑 사이트들 각각이 인터넷상의 모든 쇼핑몰 정보를 수집하는 것이 아니므로, 소비자들이 상품에 대해 최저 가격을 알기 위해서는 각 비교 쇼핑 사이트를 방문해야 한다. 그리고 온라인 검색의 경우, 상품에 대한 정보를 쇼핑몰들이 출력해 주는 형태대로 보여주기 때문에 소비자가 자기가 원하는 상품에 대한 가격 비교가 쉽지 않다. 본 논문에서는 각 비교 쇼핑 사이트에 동시에 상품 정보 검색을 요청하여 해당 상품의 최저 가격을 제공할 수 있는 메타-비교 쇼핑 에이전트 시스템을 제안한다. 또한 가공 에이전트(Processing agent)가 있어 쇼핑몰들의 출력을 사용자가 원하는 상품에 대한 가격 정보만을 여과하여 보여준다.

• Information Systems Review
• /
• v.5 no.1
• /
• pp.97-111
• /
• 2003

With the spread of electronic commerce on the Internet, comparison shopping sites with agent technique are getting popular for the best shopping. However, most consumers are still spending much time to search for the best price through the sites because each of them may show a different price even for the same goods or a site does not show any information about specific goods. Additionally, the search for the best price of the goods like books and CDs may cause the system to be overloaded and the response time to be long due to an on-line real-time search. In this paper, we have designed and implemented a meta-search system for comparison shopping sites with a local database and memory cache to resolve the above problems. The proposed system collects and maintains the price information of popular goods among the comparison shopping sites using several software agents. The experimental results show that our system is an efficient meta-comparison shopping engine and reduces the latency of the response time with little overhead.

• The Journal of the Korea Contents Association
• /
• v.12 no.12
• /
• pp.733-741
• /
• 2012

In recent, many consumers visit the online shopping malls or price comparison sites to collect the information on the product category that they are interested in. However, the volumes of the data provided by such web sites are often too enormous, and significant number of consumers have trouble in making purchase decision based on the plethora of products and sellers. In this context, modern online shopping agents need to process the retrieved information in more intelligent way before providing them to the users. This paper proposes a novel approach for identifying the main price ranges hidden in a single product category. To this end, the price of an item in the category is represented as a row vector and k-means clustering analysis is applied to the price vectors to produce the clusters that consists of the product items with similar price vectors. Then, the main price ranges of the product category can be identified from the result of clustering analysis. In general, the price is one of the most important factors in the consumers' purchase decision, and the identified main price ranges will be helpful for the online shoppers to find appropriate items effectively.

• Journal of Global Scholars of Marketing Science
• /
• v.15 no.1
• /
• pp.21-39
• /
• 2005

The research objectives of this study were to examine the relationship between e-store attributions(reputation, customer service, safety(security), merchandise quality, information quality, web navigation), trust, satisfaction and web site loyalty. The data were collected using survey with a structured questionnaire. The subjects of the study were 213 people. Several hypotheses were put forward and results except for four hypotheses were supported. That is, reputation, customer service, safety(security) and merchandise quality have a significant influence on trust and satisfaction, information quality and web navigation have no influence on trust and satisfaction, and trust and satisfaction have a significant influence on e-loyalty. Regression Analysis were applied to test the research hypotheses on the relationships among the variables. Research implications of the findings and future research directions are presented.

• Smart Media Journal
• /
• v.13 no.1
• /
• pp.67-75
• /
• 2024

The purpose of this research is to investigate consumer responses to production recommendations by AI. In order to test hypotheses of this study, we conducted experimental study that was a 2(Brand reputation: high vs. low) X 2(Social comparison: high vs. low). The results of this study showed the interaction effects of brand reputation and social comparison on brand attitude. Based on the results, we provide theoretical implications to extent the existing research regarding product recommendations. Moreover, the results of this study provide some practical implications and a new aspect about AI recommendations.

• Proceedings of the Korean Information Science Society Conference
• /
• 2001.10a
• /
• pp.385-387
• /
• 2001

대부분의 B2C 쇼핑몰 시스템은 사용사 인터페이스에서만 큰 차이를 보일 뿐 기능적/비기능적 요구사항과 아키텍처는 유사하며 쇼핑몰 시스템 구성요소들의 재사용은 매우 높다. 이에 B2C 쇼핑몰 시스템의 제품 라인 구축 시 입력몰인 1) 제푸 제약사항, 2)스타일, 패턴 및 프레임워크, 3)생산 제약사항, 4)생산 전략, 5)기존 구성품의 재고조사를 정의하고 B2C 쇼핑몰의 모델 분류와 기본적인 사용자 요구사항을 바탕으로 쇼핑몰 시스템의 공통점과 차이점을 제품 라인 범위로 제시한다. 일반적인 B2C 쇼핑몰 시스템이 제공하여야 하는 고객 정보 관리, 상품 정보 관리, 주문관리, 보안, 상품 운송 등의 기본 기능이 공통점으로 추출되었으며 가격의 고정 여부, 사용자 인터페이스, 멀티미디어 서비스 지원 여부, 포탈 사이트와 비슷한 검색 기능, 온라인 지불 기능의 지원과 사용자 인터페이스 및 데이터 베이스 스키마 등이 차이점으로 추출되었다.

• Journal of the Korean Society for information Management
• /
• v.18 no.1
• /
• pp.43-64
• /
• 2001

The purpose of this study is to examine the features of Internet bookshops in order to suggest the most effective website model for them. Seven Internet bookshop websites are analyzed. The evaluating criteria includes: interface layout, contents, function aspects. The results show that a suggested model should include various aspects: 1) user-centered menu structure, 2) effective search methodlsubject directory, and 3) various and good quality review.

• The KIPS Transactions:PartB
• /
• v.8B no.6
• /
• pp.617-624
• /
• 2001

With the proliferation of E-Commerce, product informations and services are provided to customers diversely. Thus customers want a software agent that can retrieve and recommend goods satisfying various purchase conditions as well as price. In this paper, we present a MAS (multi-agent system) for book information retrieval and recommendation in E-Commerce. User's preference is reflected in the MAS using the profile which is taken by user. The proposed MAS is composed of individual agents that support information retrieval, information recommendation, user interface, and web robots and a coordination agent which performs information sharing and job management between individual agents. Our goal is to design and implement this multi-agent system on a Windows NT server. Owing to the workflow management of the coordination agent, we can remove redundant information retrievals of web robots. From the results, we could provide customers various purchase conditions for several online bookstores in real-time.

• Journal of Intelligence and Information Systems
• /
• v.17 no.1
• /
• pp.127-138
• /
• 2011

The core service of most research portal sites is providing relevant research papers to various researchers that match their research interests. This kind of service may only be effective and easy to use when a user can provide correct and concrete information about a paper such as the title, authors, and keywords. However, unfortunately, most users of this service are not acquainted with concrete bibliographic information. It implies that most users inevitably experience repeated trial and error attempts of keyword-based search. Especially, retrieving a relevant research paper is more difficult when a user is novice in the research domain and does not know appropriate keywords. In this case, a user should perform iterative searches as follows : i) perform an initial search with an arbitrary keyword, ii) acquire related keywords from the retrieved papers, and iii) perform another search again with the acquired keywords. This usage pattern implies that the level of service quality and user satisfaction of a portal site are strongly affected by the level of keyword management and searching mechanism. To overcome this kind of inefficiency, some leading research portal sites adopt the association rule mining-based keyword recommendation service that is similar to the product recommendation of online shopping malls. However, keyword recommendation only based on association analysis has limitation that it can show only a simple and direct relationship between two keywords. In other words, the association analysis itself is unable to present the complex relationships among many keywords in some adjacent research areas. To overcome this limitation, we propose the hybrid approach for establishing association network among keywords used in research papers. The keyword association network can be established by the following phases : i) a set of keywords specified in a certain paper are regarded as co-purchased items, ii) perform association analysis for the keywords and extract frequent patterns of keywords that satisfy predefined thresholds of confidence, support, and lift, and iii) schematize the frequent keyword patterns as a network to show the core keywords of each research area and connecting keywords among two or more research areas. To estimate the practical application of our approach, we performed a simple experiment with 600 keywords. The keywords are extracted from 131 research papers published in five prominent Korean journals in 2009. In the experiment, we used the SAS Enterprise Miner for association analysis and the R software for social network analysis. As the final outcome, we presented a network diagram and a cluster dendrogram for the keyword association network. We summarized the results in Section 4 of this paper. The main contribution of our proposed approach can be found in the following aspects : i) the keyword network can provide an initial roadmap of a research area to researchers who are novice in the domain, ii) a researcher can grasp the distribution of many keywords neighboring to a certain keyword, and iii) researchers can get some idea for converging different research areas by observing connecting keywords in the keyword association network. Further studies should include the following. First, the current version of our approach does not implement a standard meta-dictionary. For practical use, homonyms, synonyms, and multilingual problems should be resolved with a standard meta-dictionary. Additionally, more clear guidelines for clustering research areas and defining core and connecting keywords should be provided. Finally, intensive experiments not only on Korean research papers but also on international papers should be performed in further studies.