Using Behavior Analysis and Improvement of Bookmark as Web Information Management Tool (웹 정보 수집 관리 도구로서의 북마크 이용행태 분석을 통한 개선방안 연구)

Ji-Yeon Min (민지연); Jeeyeon Lee (이지연)

doi:10.3743/KOSIM.2009.26.4.059

Using Behavior Analysis and Improvement of Bookmark as Web Information Management Tool

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2009, 26(4), pp.59~79
DOI : 10.3743/KOSIM.2009.26.4.059
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : October 1, 2009
Accepted : October 20, 2009
Published : December 30, 2009

Ji-Yeon Min ¹, Jeeyeon Lee ¹

¹연세대학교

Accredited

ABSTRACT

As the amount of web information grows, a bookmark has become an important tool to reuse web information effectively which is relevant to users’ information needs. Thus, this study aimed to investigate how bookmarks are used as a management tool of web information, and what functions users require concerned with it. For this purpose, semi-structured interviews and observations were carried out from 5 respondents, and a survey was conducted to investigate the relationship between bookmark using behaviors and requirements for function improvement. The users who use bookmark less frequently think bookmark feature essential for the purpose of reusing web information.

KEYWORDS

bookmark, web information, personal information management

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* References for papers published after 2023 are currently being built.

[thesis] 이지원 / 2004 / 웹 브라우저의 즐겨찾기(Bookmark)기능 활용과 인터넷 이용행동 간의 관계에 대한 탐색적 연구 / 석사 / 이화여자대학교 정책과학대학원

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Using Behavior Analysis and Improvement of Bookmark as Web Information Management Tool

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Using Behavior Analysis and Improvement of Bookmark as Web Information Management Tool

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.