토픽모델링 기법을 활용한 산업별 직무만족요인 비교 조사 : 잡플래닛 리뷰를 중심으로

• 영문명: Comparative Analysis of Job Satisfaction Factors, Using LDA Topic Modeling by Industries : The Case Study of Job Planet Reviews
• 발행기관: 한국IT서비스학회
• 저자명: 김동욱(Dong Wook Kim) 강주영(Ju Young Kang) 임재익(Jay Ick Lim)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제15권 제3호, 157~171쪽, 전체 15쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2016.09.30

영문 초록

As unemployment rates and concerns about turnover keep growing, the need for information is also increasing. In these situations, the job reviews which share information about the company catch people s attention because they are usually created by people who worked at the company. The development of SNS and mobile environments has led to an increase in the web services that provide job reviews. For example, Jobplanet is a job review service in Korea, and Glassdoor.com offers a similar service in the US. Despite this attention, however, research utilizing job reviews is insufficient. This paper asks whether there are differences in ratios of job satisfaction factors by industry, using LDA topic modeling and co-occurrence analysis to explore the differences. Through the results of LDA, we find that the ratios of job satisfaction factors are similar by industry. At the same time, the results of co-occurrence analysis show that the co-occurrence frequency of some job satisfaction factors appears high: pay and welfare, balance of work and life, company culture. We expect that the result of this research will be helpful in comparative analysis of job satisfaction factors by industry. Furthermore, in this paper we suggest how to use the job review data in organizational behavior research.

목차

Abstract

1. 서론

2. 선행연구

3. 연구 절차 및 방법

4. 연구 분석 및 결과

5. 결론

References

키워드

LDA Topic Modeling Facet job satisfaction Job Review Co-occurrence Analysis