Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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A Study on Job Satisfaction/Retention Factors and Job Unsatisfaction/Turnover Factors by Industries using Job Reviews

직무 리뷰 분석을 통한 산업군별 직무만족/존속 요인 및 직무불만족/이직 요인에 관한 연구

  • 이종서 (연세대학교 글로벌융합공학부 IT융합전공) ;
  • 김성근 (아주대학교 경영정보학과) ;
  • 강주영 (아주대학교 e-Business 학과)
  • Received : 2016.10.28
  • Accepted : 2017.03.14
  • Published : 2017.03.31
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Abstract

Keeping good, talented people is one of the most significant factors in a company's success. HR analytics is an important area for applying big data analysis techniques to human resources. It provides organizational insight that enables effective management of employees, allowing management to reach their business goals quickly and efficiently. Job satisfaction and employee turnover analysis are the keys to HR analytics. Job review web services have been becoming popular. Because people exchange information about job satisfaction and turnover through these web services, useful information about HR Analytics is accumulated on the job review web sites. In this paper, we identified factors of employee retention by analyzing a Job Satisfaction/Retention group, and the factors of employee turnover by analyzing a Job Unsatisfaction/Turnover group. In order to do this, we first classified employees according to whether their self-reported job satisfaction or turnover was true. We collected and analyzed data from Jobplanet, a popular job review site. Through dominance analysis and LDA topic modeling, we found major factors, topics, and keywords of the classified groups by IT, service, and manufacturing domains. Our approach is a novel model to apply the analysis of reviews and text mining to the HR domain, and it will be practically helpful for setting new strategies that improve job satisfaction.

Keywords

References

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