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Agile-based Data Analysis Framework for Career Exploration in Library and Information Science

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.1, pp.189-210
https://doi.org/10.3743/KOSIM.2024.41.1.189
JeongYun Lee (Chung-Ang University)
HakLae Kim (Chung-Ang University)
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Abstract

Individuals majoring in Library and Information Science (LIS) typically find employment in the library sector, such as working as librarians, university librarians, and in public libraries. Recent advancements in information technology and shifts in work outlooks have broadened the professional opportunities for students majoring in LIS in several sectors. Research on career exploration varies based on the university major or occupation. This paper suggests a methodology for conducting surveys and analyzing data efficiently to support ongoing career exploration for students majoring in LIS. It also examines the findings of a career exploration survey conducted among LIS majors. The survey findings indicate that individuals majoring in LIS are adapting their salary expectations and priorities in alignment with societal shifts, showing a preference for diverse career opportunities outside traditional librarian roles. Effective support and ongoing research are essential for the career development of LIS majors in this environment.

keywords
library and information science, career exploration, data analysis, data visualization, agile framework
Submission Date
2024-02-15
Revised Date
2024-02-27
Accepted Date
2024-03-06

Journal of the Korean Society for Information Management