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

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538663783
DOIs
StatePublished - 2 Jul 2018
Externally publishedYes
Event2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018 - Eilat, Israel
Duration: 12 Dec 201814 Dec 2018

Publication series

Name2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018

Conference

Conference2018 IEEE International Conference on the Science of Electrical Engineering in Israel, ICSEE 2018
Country/TerritoryIsrael
CityEilat
Period12/12/1814/12/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Big Data
  • Facebook
  • Google
  • HR Analytics
  • High Tech
  • Job Satisfaction
  • Turnover
  • eHRM

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