• Information Systems Review
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• v.8 no.3
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• pp.153-174
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• 2006

The purpose of this study is to identify the factors affecting users' continuing use of Hedonic Information Systems(HIS). Focusing on users' post-adoption behaviors, this study proposes a research model which incorporates technology acceptance theory into expectation disconfirmation theory and investigates the causal relationship among five factors; perceived usefulness, perceived ease of use, disconfirmation, user satisfaction, and continuance intention to use a blog as HIS. The results show that satisfaction is significantly influenced by disconfirmation and post expectations(perceived usefulness and perceived ease of use), and in particular the impact of disconfirmation on user satisfaction is stronger than those of perceived usefulness and perceived ease of use. The results also indicate that while perceived usefulness and user satisfaction have significant impacts on continuance intention, perceived ease of use does not do so and has only an indirect impact on continuance intention through perceived usefulness and user satisfaction.

• Proceedings of the Korea Society for Industrial Systems Conference
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• 2006.05a
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• pp.319-334
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• 2006

기업에서는 경쟁력을 강화하고 지속적인 경쟁우위를 확보하기 위한 수단으로 ERP시스템을 도입하여 활용하고 있는 추세이다. ERP시스템은 전체업무프로세스를 정보기술로 구현한 전사적인 통합솔루션이다. 이러한 ERP시스템 구축의 성공요인에 대해 많은 연구들이 진행되어 왔다. 그러나 대부분의 선행연구들은 기술적인 측면 등 외부적인 요인들을 강조하고 있으며, 내부적인 요인인 조직구성원들의 개인적인 성격유형이 ERP시스템의 정보기술을 수용하는데 미치는 영향에 대한 연구는 거의 이루어지지 않고 있다. 본 연구는 ERP시스템 구축의 성공요인으로 조직구성원들의 개인적인 성격유형을 탐색적으로 연구 하였다. ERP시스템 도입기업의 사용자들을 대상으로 MBTI 성격유형과 ERP시스템에 대한 정보기술 수용 정도를 설문을 통해 분석하였다. MBTI 성격유형은 Myers의 네 가지 성격유형으로 측정하고, ERP시스템의 정보기술수용에 대해서는 Davis의 TAM 모형을 이용하였다. 본 연구의 결과는 첫째, MBTI 성격유형과 ERP시스템의 정보기술수용과의 관련성 검증에서 MBTI 성격유형 중 외향형과 판단형인 경우에는 ERP시스템의 정보기술수용에 유의적인 영향을 미치는 것으로 나타났다. 그러나 감각형과 사고형인 경우에는 유의하지 않은 것으로 나타났다. 둘째, ERP시스템 관련 정보기술수용 검증에서는 선행연구들을 통해 검증된 바와 같이 ERP시스템에 대한 지각된 이용 용이성과 유용성, 활용의도 및 활용정도 간에 유의적인 영향을 미치는 것으로 나타났다.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.71-99
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• 2016

This study investigated users' information seeking behaviors associated with their perceptions of uncertainty. For this study, the data was collected from an user group, who conducted information searches in the field of history, using the KERIS Edunet system and it was analyzed through the comparative analysis of the grounded theory. The results presented users' uncertainty in the following stages: the identification of information needs, the selection of an information system, the selection of search terms, the actual use of the system, and the evaluation of search results. Major implications pertain to the enhancement of the Edunet system and related services. The former includes the improvement of the retrieval mechanisms related to the search and display interfaces. The latter emphasizes the consideration of the origin of uncertainty in the process of the services. In other words, the study suggested to consider the inadequacy of the system functions, the insufficiency of search experiences and the lack of such abilities of particular users.

• Journal of Fashion Business
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• v.17 no.1
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• pp.157-169
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• 2013

The purpose of this study was to analyze clothing fashion leadership and make-up fashion leadership of women's university students and investigate the relationships of information sources and ongoing information search. To achieve the purposes, a questionnaire was conducted to 400 female students from September 21 to October 30, 2011. The final data was analyzed with spss 17.0 program. The results were follows. First, It was found that information sources were classified 3 factors of marketer source, personal source, and mass media source. Second, there were significant differences of clothing fashion leadership and make-up fashion leadership by major and clothes and cosmetics purchasing expenses. Third, there were significant differences of clothing information sources and ongoing information search by major and clothes and cosmetics purchasing expenses. Forth, there were significant differences of make-up information sources and ongoing information search by major and clothes and cosmetics purchasing expenses. Fifth, there were significant relations of clothing/make-up fashion leadership, information sources, and ongoing information search. Thus, it was found that clothing fashion leadership and make-up fashion leadership are related to information sources and ongoing information search.

• Journal of KIISE
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• v.44 no.7
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• pp.710-718
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• 2017

As graphs are becoming increasingly large, the costs for storing and managing data are increasing continuously. Shortest path discovery over a large graph requires long running time due to frequent disk I/Os and high complexity of the graph data. Recently, graph summarization techniques have been studied, which reduce the size of graph data and disk I/Os by representing highly dense subgraphs as a single super-node. Decompressing should be minimized for efficient shortest path discovery over the summarized graph. In this paper, we analyze the decompression performance of a summarized graph and propose an approximate technique that discovers the shortest path quickly with a minimum error ratio. We also propose an exact technique that efficiently discovered the shortest path by exploiting an index built on paths containing super-nodes. In our experiments, we showed that the proposed technique based on the summarized graph can reduce the running time by up to 70% compared with the existing techniques performed on the original graph.

• Journal of the Korean Society of Clothing and Textiles
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• v.34 no.9
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• pp.1527-1537
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• 2010

The Internet has the potential to create new channels that might be beneficial to fashion consumers. This study examines the effects of consumer involvement and Internet behavior in on-going Internet information searches through the young female generation. For the practical research, the survey was conducted from June $15^{th}$ to July $15^{th}$ 2009. Data was collected in a total of 368 questionnaires from female university students in their 20's and analyzed 300 questionnaires with SPSS 12.0. The results were as follows. First, clothing involvement, fashion involvement, internet involvement, and Internet shopping interest had been considered as antecedents of on-going Internet information search behavior. Second, clothing involvement and Internet involvement significantly affected Internet shopping interest. However, fashion involvement and Internet involvement showed direct paths to on-going Internet information searches. Third, there were significant effects in Internet shopping interest and on-going Internet information searches. Forth, the respondents were segmented by two groups according to the level of ongoing information searches. These segmented two groups were different in regard to clothing shopping behaviors and impulse purchase behaviors.

• Journal of Distribution Research
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• v.10 no.2
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• pp.73-97
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• 2005

The importance of emotional factors like as product aesthetics, branding strategies and service quality is increasing in today's marketplace. At the point of fashion product purchases, emotional factor is mainly related to personal selling. Rasearches related to job aptitudity of fashion salesperson are necessary as their role becoming more serious. This study was designed (1) to determine factors of job aptitudity of fashion salesperson; and (2) to examine relations between job aptitudity of fashion salesperson and other variables: demographics, job statistics, fashion involvement fashion innovativeness, ongoing information searching and job satisfaction. As a result, job aptitudty of fashion salesperson was determined into six dimensions by factor analysis: product knowledge, professionalism, involvement to the present profession, marketing cooperator, customer orientation and self management. Marketing cooperator and product knowledge was relatively !ow compared to other aptitudity factors. This finding suggests that the special education programs including textile/fashion product knowledge and value of field information for fashion salesperson is needed to enhance the integrated fashion marketing. The job aptitudity of salesperson was correlated with fashion involvement, fashion innovativeness, ongoing information searching, and job satisfaction. The job aptitudity-related scales which showed significant relation to job aptitudity in this study could be used as the index to examine the job aptitudity of potential employees of fashion retail company.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.73-87
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• 2019

The purpose of this study is to clarify the continuous usage intention of artificial intelligence products and services. In this study, we try to define the artificial intelligence quality and preference on the online job information platform and investigate the effect of artificial intelligence on continues usage intention. A survey of artificial intelligence users was conducted and recalled 184. The empirical analysis shows that the artificial intelligence quality and preference have a positive effect on satisfaction, and that the satisfaction has significant effect on the intention of continuing use. but the artificial intelligence quality does not significantly affect the intention of continuing use. These results are expected to provide useful guidelines for artificial intelligence technology products or services in the future.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10b
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• pp.93-95
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• 1998

본 논문에서는 기존의 파일 시스템을 이용한 모빌 에이전트가 아나라, 분산된 서로 다른 데이터베이스 환경에서 효과적인 데이터 탐색을 위한 디렉토리와 옐로우 페이지를 모빌 에이전트를 이용하여 설계하고 구현하였다. 그리고 개발 환경은 서로 다른 Windows NT와 유닉스 시스템을 혼용하였고, 플랫폼에 독립적인 Java 언어와 통합 모질 에이전트 환경을 지원하는 ASDK를 사용하였다. 이러한 기능을 전투 상황이라는 시나리오에 적용하였다. 신속하게 여러 부대 가용자산 정보를 수집해야 하는 긴박한 상황 속에서 이미 Traffic Jam 상태에 있는 제한되어있는 통신망은 요구하는 속도를 충족시키기 곤란할 것이다. 이러한 상황 속에서 모빌 에이전트의 활발한 활동은 필요한 데이터를 지속적으로 갱신, 탐색 할 것이며, 특히 모빌 컴퓨팅 환경과 결합되어 더욱 효율적인 결과를 나타낼 것이다.

• Journal of the Korea Society of Computer and Information
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• v.14 no.2
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• pp.69-77
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• 2009

Stream service environment demands real-time query processing for voluminous data which are ceaselessly delivered from tremendous sources. Typical R-tree based query processing technologies cannot efficiently handle such situations, which require repetitive and inefficient exploration from the tree root on every data event. However, many stream data including sensor readings show high locality, which we exploit to reduce the search space of queries to explore. In this paper, we propose a query processing scheme exploiting the locality of stream data. From the simulation, we conclude that the proposed scheme performs much better than the traditional ones in terms of scalability and exploration efficiency.