Comparative Analysis of Job Satisfaction Factors, Using LDA Topic Modeling by Industries : The Case Study of Job Planet Reviews

Abstract

Submitted:April 29, 2016 1 st Revision:July 22, 2016 Accepted:July 25, 2016 * 본 과제(결과물)는 교육부의 재원으로 지원을 받아 수행된 산학협력 선도대학(LINC) 육성사업의 연구결과입니다. ** 아주대학교 e-비즈니스학과, 학사과정 *** 아주대학교 e-비즈니스학과 교수, 교신저자 **** 아주대학교 e-비즈니스학과 부교수 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. Keyword:LDA Topic Modeling, Facet job satisfaction, Job Review, Co-occurrence Analysis 韓國IT서비스學會誌 第15卷 第3號 2016年 9月, pp.157-171 158 Dongwook Kim.Juyoung Kang.Jay Ick Lim