한국도서관정보학회지 (Journal of Korean Library and Information Science Society)

한국도서관정보학회 (Korean Library and Information Science Society)
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도서관자동화시스템 개선을 위한 현황 및 인식 연구

A Study on the Current Status and Perception of Library Automation Systems for System Improvement

  • 안병군 (한국과학기술정보연구원) ;
  • 정영임 (한국과학기술정보연구원, 과학기술연합대학원대학교) ;
  • 황혜경 (한국과학기술정보연구원)
  • 투고 : 2024.02.29
  • 심사 : 2024.03.20
  • 발행 : 2024.03.30
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초록

본 연구는 도서관자동화시스템에 대한 현황 분석을 기반으로 향후 개선 방향을 모색하는 것을 목적으로 한다. 연구에서는 KESLI와 KCUE 컨소시엄에 참여하는 기관의 담당 사서를 대상으로 설문을 진행함으로써 도서관자동화시스템의 현황과 만족도, 오픈소스 기반 도서관자동화시스템의 현황과 인식을 조사하였다. 연구 결과, 현재 도서관에서 사용하는 자동화시스템은 대부분 2000년대 혹은 2010년대에 외주도입 방식으로 개발되었으며, 도서관자동화시스템 전반에 대해서 50% 이상의 응답자가 만족 의견을 보였다. 전반적인 만족도는 개별 기능 만족도와 고객지원 서비스 만족도, 시스템의 구축 및 운영관리 만족도의 영향을 받는 것으로 확인되었다. 현재 도서관자동화시스템은 대부분 오픈소스 혹은 클라우드를 활용하지 않고 있었으나 향후 활용 의사가 높게 나타났으며, 특히 3년 이내에 도입하겠다는 답변도 40% 이상을 차지했다. 본 연구는 향후 오픈소스기반 도서관자동화시스템 구축을 위한 중요한 기초 자료가 될 것으로 기대된다

This study aims to analyze the current status of library automation systems and explore future directions for improvement. The study was conducted by surveying librarians at institutions participating in the KESLI and KCUE consortia to investigate the current status and satisfaction with library automation systems, and the current status and awareness of open source-based library automation systems. The study found that most automation systems currently in use in libraries were developed through outsourcing in the 2000s or 2010s, and that more than 50% of respondents were satisfied with the overall library automation system. Overall satisfaction was found to be influenced by satisfaction with the functionality, customer support services and construction and operational management of the system. Most current library automation systems are not based on open source software or cloud services, but the intention to use them in the future is high, with more than 40% of respondents saying they would use them within three years. This study is expected to serve as an important foundation for building an open source-based library automation system in the future.

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과제정보

이 논문은 2023년도 한국과학기술정보연구원(KISTI)의 기본사업으로 수행된 연구입니다. (과제번호: (KISTI) K-23-L05-C02, (NTIS) 1711198418)

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