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http://dx.doi.org/10.5859/KAIS.2022.31.1.271

Research on Business Job Specification through Employment Information Analysis  

Lee, Jong Hwa (동의대학교 e비즈니스학과)
Lee, Hyun Kyu (부경대학교 경영학부)
Publication Information
The Journal of Information Systems / v.31, no.1, 2022 , pp. 271-287 More about this Journal
Abstract
Purpose This research aims to study the changes in recruitment needed for the growth and survival of companies in the rapidly changing industry. In particular, we built a real company's worklist accounting for the rapidly advancing data-driven digital transformation, and presented the capabilities and conditions required for work. Design/methodology/approach we selected 37 jobs based on NCS to develop the employment search requirements by analyzing the business characteristics and work capabilities of the industry and company. The business specification indicators were converted into a matrix through the TF-IDF process, and the NMF algorithm is used to extract the features of each document. Also, the cosine distance measurement method is utilized to determine the similarity of the job specification conditions. Findings Companies tended to prefer "IT competency," which is a specification related to computer use and certification, and "experience competency," which is a specification for experience and internship. In addition, 'foreign language competency' was additionally preferred depending on the job. This analysis and development of job requirements would not only help companies to find the talents but also be useful for the jobseekers to easily decide the priority of their specification activities.
Keywords
Text Mining; TF-IDF; Non-negative Matrix Factorization; Specification; Job Competency;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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