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Analyzing Domestic Research Trends on Disclosure of Information By Comparing Major Academic Disciplines

Journal of the Korean Society for Information Management / Journal of the Korean Society for Information Management, (P)1013-0799; (E)2586-2073
2024, v.41 no.2, pp.295-316
https://doi.org/10.3743/KOSIM.2024.41.2.295
Na-yun Bae (Jeonbuk National University)
Hyo-Jung Oh (문화융복합아카이빙연구소)
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Abstract

Analyzing research trends is essential for the sustainable development of a discipline and is important for understanding the value of prior research and laying the groundwork for subsequent research. This study aims to draw implications for the future direction of convergence research on the disclosure of information from various disciplines by comparing and analyzing the trends in disclosure of information research in Korea. For this purpose, we analyzed the publication frequency of information disclosure papers listed in the Korea Citation Index (KCI) from 2002 to 2023 and the publication trend by discipline as a time series. In addition, we compared the keyword relationships and specialized research topics of each discipline by applying network analysis and LDA topic modeling techniques to the names and keywords of papers in law, public administration, and library and information science. As a result of the analysis, the law focuses on legal regulations and policy improvement, public administration focuses on changing social needs and administrative operation methods, and LIS focuses on practical approaches to record management and disclosure of information. Based on this, future research directions include combining policy research in law with social change research in public administration and developing realistic policies and operational guidelines from the practical perspective of LIS. Such convergent research will enable the systematic and efficient implementation of disclosure of information systems, contributing to the guarantee of the public’s right to know and the enhancement of state transparency.

keywords
disclosure of information, research trends analysis, quantitative analysis, word network analysis, topic modeling
Submission Date
2024-05-19
Revised Date
2024-06-10
Accepted Date
2024-06-18

Journal of the Korean Society for Information Management