• Journal of Korean Library and Information Science Society
• /
• v.39 no.2
• /
• pp.355-373
• /
• 2008

The purpose of this study is to find out user's information needs in public libraries based on websites. The data were collected from the user's plaza in public libraries websites. To identify the user's information needs, the works in the public libraries including acquisition, information services, circulation, digital library, reading room, reference services were analyzed.

• Journal of the Korean Society for Library and Information Science
• /
• v.58 no.1
• /
• pp.417-439
• /
• 2024

This study aimed to analyze the impact of public library librarians' innovative work behavior on service quality, which is an indicator of organizational performance. To achieve this goal, the study surveyed both librarians and users of seven public libraries in the Seoul metropolitan area and assessed 77 cases of librarian data and 309 cases of user data. The innovative work behaviors of librarians and the quality of service provided to users were examined. The analysis showed that idea realization, the final stage of innovative work behavior, was beneficial for information control. However, idea generation, the initial stage of innovative behavior, adversely affected the affect of service and information control dimensions. The situation where the process stalled at the idea generation stage without progressing to the next stage (idea promotion or realization), was interpreted as leading to decreased service quality. The significance of this study is that it applied the concept of innovative work behavior to public libraries and suggested the impact of public librarians' innovative work behavior on service quality using an empirical method.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.32 no.1
• /
• pp.133-150
• /
• 2021

The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.29 no.4
• /
• pp.251-267
• /
• 2018

In this research, a sample was selected from a public library in Paju city, which operates a regional collaborative library system. They collected data on materials, usage, and acquisition. An analysis of book collection data and usage data was also conducted in order to evaluate the correlation between the usage and acquisition by comparing overlap of purchased materials. As a result, circulations and the interlibrary loan (ILL) borrowing requests were differentiated by topics according to targeted materials, and that these characteristics affect the overlap of purchased materials. The study suggested that public libraries in the region collaborative library system need to consider the paradigm of collection and access when purchasing books.

• Industry Promotion Research
• /
• v.8 no.3
• /
• pp.201-210
• /
• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• Journal of Korean Library and Information Science Society
• /
• v.54 no.2
• /
• pp.111-130
• /
• 2023

With the arrival of the knowledge information society, records as assets have become increasingly important. As defined in ISO 30300, records must be actively utilized to contribute to organizational management and generate added value. To create added value through records, their utilization must be prioritized. While countries like the UK, New Zealand, and Australia recognize records as assets and propose record assetization policies, specific measures for managing records as assets have yet to be suggested. To address this gap, we analyze Directive (EU) 2019/1024, established by the EU, to facilitate commercial use and promote accessible public information. We derive seven characteristics from the analysis and extract insights from Italian policies and actual implementation cases that reflect them in accordance with the regulations of the EU guidelines. In addition, the correlation between the Public Data Act and the Public Records Act in Korea was revealed, and points that could reflect Directive (EU) 2019/1024 in Korea were derived. Through this study, it is expected that public data will be treated as information assets and serve as a stepping stone for preparing information assetization policies for records.

• Journal of Korean Library and Information Science Society
• /
• v.40 no.4
• /
• pp.353-379
• /
• 2009

Since April last year when "the disability discrimination act" became effective in Korea, public libraries in Korea have been obligated to provide library service to the disabled. But most of public libraries in Korea do not and are not ready to service them. After finding out the characteristics of Korean disabled people and investigating current state of services for them in the public libraries of Korea by analyzing related statistics and laws, suggestions for the enhancement of public library service for disabled people in Korea were proposed.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.11a
• /
• pp.329-330
• /
• 2009

본 연구는 공공기관이 소장한 이미지데이터 활용성을 높이기 위한 전문검색서비스 구현 시 필수적인 문서인식시스템의 고도화에 있으며, 주요한 연구방향은 공공기관이 소장하고 있는 데이터의 분석을 통해 이미지분석 기술 및 라이브러리를 개발하고 특화된 지식베이스를 구성하는 것이다. 또한, 향후 확장성을 고려하여 지식베이스를 지속적으로 관리할 수 있는 툴을 개발하는 것이다. 본 연구는 현재 지능형 인식 라이브러리를 결합한 프로토타입(prototype) 시스템 개발이 완료된 바, 방대한 국가기록원내 소장자료를 대상으로 다양한 성능평가를 위한 테스트베드 구축이 진행되고 있다.

• Journal of the Korean Society for Library and Information Science
• /
• v.53 no.3
• /
• pp.5-23
• /
• 2019

This study was conducted with a view to examining the determinants of the public library budget in the local governments of south korea. To the end, this study used the public library budget data and macro/micro environments data of 167 local governments in 2017. The analysis results shows that the determinants which have an effect on the public library budget are metropolitan area, the level of education, the population size of young adults in terms of the macro environment, and the number of users, books, and librarians in terms of the micro environment.

• The Journal of Bigdata
• /
• v.3 no.2
• /
• pp.87-99
• /
• 2018

This study analyze the factors affecting the number of bidders in public contracts by collecting contract data such as purchase of goods, service and facility construction through KONEPS among various forms of public contracts. The reason why the number of bidders is important in public contracts is that it can be a minimum criterion for judging whether to enter into a rational contract through fair competition and is closely related to the budget reduction of the ordering organization or the profitability of the bidders. The purpose of this study is to analyze the factors that determine the participation of bidders in public contracts and to present the problems and policy implications of bidders' participation in public contracts. This research distinguishes the existing sampling based research by analyzing and analyzing many contracts such as purchasing, service and facility construction of 4.35 million items in which 50,000 public institutions have been placed as national markets and 300,000 individual companies and corporations participated. As a research model, the number of announcement days, budget amount, contract method and winning bid is used as independent variables and the number of bidders is used as a dependent variable. Big data and multidimensional analysis techniques are used for survey analysis. The conclusions are as follows: First, the larger the budget amount of public works projects, the smaller the number of participants. Second, in the contract method, restricted competition has more participants than general competition. Third, the duration of bidding notice did not significantly affect the number of bidders. Fourth, in the winning bid method, the qualification examination bidding system has more bidders than the lowest bidding system.