• 제목/요약/키워드: Related Search

검색결과 2,276건 처리시간 0.029초

인터넷 쇼핑몰에서의 소비자의 워험지각과 정보탐색에 관한 연구 (Consumer′s Perceived Risk and Information Search in Internet Shopping)

  • 신민경;정순희;여윤경
    • 대한가정학회지
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    • 제42권9호
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    • pp.195-212
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    • 2004
  • The purpose of this study was to analyze consumers' perceived risk and information search behaviors in internet shopping. For this purpose, survey was conducted on 302 consumers in their 20s and 30s who had internet shopping experience. This study found that consumers' perceived risk was significantly related to their gender, educational level, income, credit card use, period of internet un, number of internet shopping experiences, and purchased product. Consumers' search behaviors were also significantly affected by gender, age, educational level, income, period of internet use, and purchased product. In addition, a higher level of consumers' perceived risk was significantly related to the amount of information search on product attributes themselves rather than on general information search such as the number of sites or the number of brands.

정보탐색을 위한 중개시스템에 관한 연구 (A Study on an Intermediary System for Searches)

  • 이효숙
    • 한국문헌정보학회지
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    • 제17권
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    • pp.299-337
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    • 1989
  • In this study, an Intermediary System for Searches has been designed and implemented. This System has some key functions as follows: First, in each stage of a search process, the information related to a definite term could be provided. Second, through displaying semantic categories for terms this system 'helps a searcher in modifying search terms when he fails to retrieve. Third, being consulted, this system could assist a searcher in making a Boolean search statement in terms of search specificity Fourth, to make a final search statement, a searcher could have several rounds of search cycles through displaying related terms, semantic categories, and frames.

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연관 태그의 군집 알고리즘의 설계 및 구현 (A Design and Development of A Related Tag Clustering Algorithm)

  • 박병재;우종우
    • 한국IT서비스학회지
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    • 제7권4호
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    • pp.199-208
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    • 2008
  • Tagging represents one of the Web 2.0 technology, and has an appropriate mechanism for the classification of dynamically changing Web informations. This technique is capable of searching the Web informations using the user specified tags, but still it has a limitation of providing only the limited informations to the tags. Therefore, in order to search the related informations easily, we need to extend this technique further to search not only the desired informations through the designated tags and also the related informations. In this paper, we first have designed and developed an algorithm that can get a desired tag cluster, which is capable of collecting the searched tags along with the related tags. We first performed a test to compare the difference between the user collected tag data through RSS and the reduced data. The second test focused on the accuracy of extracted related tags that depends on the similarity functions, such as the Pearson Correlation and Euclidean. Finally, we showed the final results visually using the graph algorithm.

기업의 개방형 혁신이 혁신 생산성에 미치는 영향: 외부 지식 탐색활동을 중심으로 (The Effects of Open Innovation on Innovation Productivity: Focusing on External Knowledge Search)

  • 이종선;박지훈;배종태
    • 지식경영연구
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    • 제17권1호
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    • pp.49-72
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    • 2016
  • Extant research on firm innovation productivity is limited in measuring the innovation productivity, in which they measured firm innovation productivity by using either inputs or outputs of innovation. The present study complemented the extant research by employing Data Envelopment Analysis (DEA) approach to measure firm innovation productivity. Furthermore, this paper examined the effects of firms' external knowledge search, as one of open innovation practices, on firm innovation productivity, for open innovation activities are regarded as an influencing factor on firm innovation productivity in the previous literatures. Using the data of the Korean Innovation Survey (KIS) of manufacturing industries conducted in 2008, this study developed hypotheses in which we considered not only two dimensions of external knowledge search (breadth and depth) but also two subtypes of external knowledge search (market-driven and science-driven). The results found that searching deeply and market-driven search are positively related to firm innovation productivity, but science-driven search is somewhat negatively related to firm innovation productivity. Furthermore, market-driven search can mitigate the negative effect of science-driven search on innovation productivity.

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제품속성별 정보탐색유형과 탐색성과에 관한연구 (A Study on Product Attributes Information Search Patterns and Search Outcomes)

  • 채정숙
    • 가정과삶의질연구
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    • 제14권3호
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    • pp.91-108
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    • 1996
  • The major purpose of this study was to find the influencing factors in explaining search patterns of product attributes in formation and to find if significant differences exist in search outcomes by search patterns. The data for this study were collected in a survey and the final sample consisted of 327 respondents purchased refrigerator 340 purchased bed. The important findings of this study are as follows: First the variables related to search cost-benefit play an important role in identifying search patterns for each of product attributers. The findings of this study provide some implications regarding consumer education programs and consumer information providing policies.

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검색 포털들의 검색어 추천 서비스 분석 평가: 네이버와 구글의 연관 검색어 서비스를 중심으로 (Analysis and Evaluation of Term Suggestion Services of Korean Search Portals: The Case of Naver and Google Korea)

  • 박소연
    • 정보관리학회지
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    • 제30권2호
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    • pp.297-315
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    • 2013
  • 본 연구에서는 주요 검색 포털들의 검색어 추천 서비스를 분석, 평가하였다. 이 연구에서는 네이버와 구글 코리아를 대상으로 추천되는 연관 검색어의 적합도 및 최신성을 평가하고, 연관 검색어의 개수 및 분포, 연관 검색어가 제공되지 않는 질의의 특징을 조사하였다. 또한 연관 검색어의 유형을 질의와 연관 검색어의 관계 측면에서 분석하고, 연관 검색어들 중 유해 검색어의 유형 및 특징, 비표준어의 유형 및 특징도 조사하였다. 마지막으로, 한글 질의와 영어 질의, 대중적인 질의와 전문적인 질의의 연관 검색어의 특징을 비교하였다. 연구 결과, 네이버가 구글보다 연관 검색어의 적합도와 최신성이 다소 높은 것으로 나타났다. 또한 구글과 네이버 모두 새로운 연관 검색어를 제시하기보다는 질의에 단어를 추가 또는 삭제하거나, 질의와 동일한 검색어나 동의어 검색어를 제공하는 경우가 많은 것으로 나타났다. 본 연구의 결과는 향후 포털들의 검색어 추천 서비스의 개선에 활용될 수 있을 것으로 기대된다.

의류제품 소비자의 생활주기에 따른 주관적 지식이 정보탐색에 미치는 영향 (The Effects of Subjective Knowledge on Information Search as Related to a Consumer's Life Cycle)

  • 황정인;박재옥
    • 대한가정학회지
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    • 제48권9호
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    • pp.41-54
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    • 2010
  • This study attempted to determine how the subjective knowledge related to a consumer's life cycle influences their information search in the decision making process. The data was collected using a total of 349 questionnaires for the final analysis of this study. SPSS 12.0 for windows was used for the data analysis and the detailed analyses included descriptive analysis, factor analysis, reliability tests, one way ANOVA, multiple regression analysis and t-tests. The results of this study showed that there are differences in the subdivisions of subjective knowledge of apparel according to the consumer's life cycle and there is a difference in the types of information searches according to the consumer's subjective knowledge, and the subdivisions of subjective knowledge of the consumers influence their information search. This study showed that although it affected the internal search, the media search, and the store search, it did not influence the personal search in the decision making process.

소셜 빅 데이터를 활용한 자살검색 요인 다변량 분석 (Multivariate Analysis of Factors for Search on Suicide Using Social Big Data)

  • 송태민;송주영;안지영;진달래
    • 보건교육건강증진학회지
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    • 제30권3호
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    • pp.59-73
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    • 2013
  • Objectives: The study is aimed at examining the individual reasons and regional/environmental factors of online search on suicide using social big data to predict practical behaviors related to suicide and to develop an online suicide prevention system on the governmental level. Methods: The study was conducted using suicide-related social big data collected from online news sites, blogs, caf$\acute{e}$s, social network services and message boards between January 1 and December 31, 2011 (321,506 buzzes from users assumed as adults and 67,742 buzzes from those assumed as teenagers). Technical analysis and development of the suicide search prediction model were done using SPSS 20.0, and the structural model, nd multi-group analysis was made using AMOS 20.0. Also, HLM 7.0 was applied for the multilevel model analysis of the determinants of search on suicide by teenagers. Results: A summary of the results of multivariate analysis is as follows. First, search on suicide by adults appeared to increase on days when there were higher number of suicide incidents, higher number of search on drinking, higher divorce rate, lower birth rate and higher average humidity. Second, search on suicide by teenagers rose on days when there were higher number of teenage suicide incidents, higher number of search on stress or drinking and less fine dust particles. Third, the comparison of the results of the structural equation model analysis of search on suicide by adults and teenagers showed that teenagers were more likely to proceed from search on stress to search on sports, drinking and suicide, while adults significantly tended to move from search on drinking to search on suicide. Fourth, the result of the multilevel model analysis of determinants of search on suicide by teenagers showed that monthly teenagers suicide rate and average humidity had positive effect on the amount of search on suicide. Conclusions: The study shows that both adults and teenagers are influenced by various reasons to experience stress and search on suicide on the Internet. Therefore, we need to develop diverse school-level programs that can help relieve teenagers of stress and workplace-level programs to get rid of the work-related stress of adults.

신규 패션브랜드 평가속성에 대한 소비자 위험지각과 정보탐색에 관한 연구 (New Fashion Brand Evaluation Attributes related to Risk Perception and Information Search)

  • 김한나;이은영
    • 한국의류학회지
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    • 제29권5호
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    • pp.727-736
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    • 2005
  • The purpose of this study was to identify the new fashion brand evaluation attributes influenced by risk perception and its relationship with information search. As for the method of the research, questionnaires were given to 311 consumers who just finished shopping at new fashion brand stores. The results of this study were as follows: 1) New fashion brand evaluation attributes consisted of five factors; product experience attributes, celebrity credence attributes, product search attributes, brand credence attributes, salesperson search attributes. 2) New fashion brand evaluation attributes were found to be significantly influenced by risk perception. 3) The amount of information seeking and the use of information sources were found to be significantly related to the new fashion brand evaluation attributes. 4) The variables influencing on the new fashion brand evaluation attributes were age and monthly clothing expenses.

Fuzzy based Intelligent Expert Search for Knowledge Management Systems

  • Yang, Kun-Woo;Huh, Soon-Young
    • 지능정보연구
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    • 제9권2호
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    • pp.87-100
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    • 2003
  • In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user′s information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

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