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Applications of Bayesian statistics for research and practice in HR Analytics:an example of executive retirement
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HR 애널리틱스 연구 및 실무에서의 베이지안 통계 활용: 퇴임 임원의 데이터를 중심으로

논문 기본 정보

Type
Academic journal
Author
Joong Hak Lee (동국대학교 서울캠퍼스 경영학과 박사) Steven Kim (California State University Mathematics and Statistics Department) Jihoon Song (고려대학교 일반대학원 교육학과 석사과정) Daniel Jang (롯데인재개발원)
Journal
한국인사관리학회 조직과 인사관리연구 조직과 인사관리연구 제44권 제3호 KCI Accredited Journals
Published
2020.1
Pages
83 - 104 (22page)

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Applications of Bayesian statistics for research and practice in HR Analytics:an example of executive retirement
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Abstract· Keywords

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In the era of digital transformation, which is represented by technologies such as machine learning and artificial intelligence, HR is also rapidly adopting new technologies. In particular, there have been increased interests in HR analytics which utilizes the technologies to process various data collected in organizations. Among recent studies related to HR analytics, the number of quantitative research is less than the number of qualitative research. Many methods in machine learning and artificial intelligence are based on Bayesian statistics, but researchers and practitioners in HR Analytics, who are more experienced in social science and frequentist statistics, have relatively less experiences in the Bayesian methods. Despite the use of various methods in predictive business analytics such as Bayesian network, naive Bayes and topic modeling, Bayesian statistics has not been thoroughly introduced and has been rarely used in the HR fields. In this study, we provide an introduction to Bayesian statistics and examples of Bayesian data analysis for the wide use of Bayesian methods in HR analytics. In addition, we analyzed data of executives in an organization and explained which capability is highly associated with the probability of retirement. This is in line with HR analytics studies that characterizes successful and unsuccessful leaders, which is of great interest, and this research has contributions to both academia and practice as there has been little progress in Korea
#HR 애널리틱스 #베이지안 통계 #퇴임 임원 #평가센터

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박경진 / 2019 / 베이지안 회귀모델을 활용한 5G 사물인터넷 수요 예측 / Journal of Information Technology Applications & Management 26(2):61~73 dbpia 양재완 / 2020 / Workforce 애널리틱스의 이해와 전략적 활용 / 조직과 인사관리연구 44(2):77~101 dbpia 이재용 / 2014 / 베이지안 통계의 역사와 미래에 대한 조망 / 응용통계연구 27(6):855~863 dbpia 이준웅 / 2018 / 미세먼지 재해 보도의 프레임 분석 : 구조적 주제모형(Structural Topic Modeling)의 적용 / 한국언론학보 62(4):125~158 dbpia 이중학 / 2019 / 하이포 인력들이 일을 잘하는진짜 이유 / HR Insight google schola

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