Big Data Analysis of Employee Turnover in Global Media Companies, Google, Facebook and Others

被引：0

作者：

Sela, Alon ^{[1
]}

Ben-Gal, Hila Chalutz ^{[2
]}

机构：

[1] Ariel Univ, Dept Ind Engn, Ariel, Israel

[2] Afeka Acad Coll Engn, Dept Ind Engn & Management, Tel Aviv, Israel

来源：

2018 IEEE INTERNATIONAL CONFERENCE ON THE SCIENCE OF ELECTRICAL ENGINEERING IN ISRAEL (ICSEE) | 2018年

关键词：

Big Data; Turnover; Google; Facebook; Job Satisfaction; High Tech; HR Analytics; eHRM; JOB-SATISFACTION; IMPACT; STAY;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

An analysis of a unique data set of over 970,000 Curriculum Vitas (CVs), revealed a mild inverse relation between job satisfaction and the average employment period. We found that while higher compensation packages often lead to higher job satisfaction, this does not translate into longer employment period. Moreover, our findings indicate an opposite and surprising pattern, in which as salary and satisfaction levels increase, employment period per job decreases. This counter-intuitive effect was found to be strongest in global high technology companies, such as Google and Facebook.

引用

页数：5

共 21 条

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