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Measurement of Organizational Happiness

  • Eyal EckhausEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 594)

Abstract

Personal well-being studies have reported a strong positive relationship between happiness and productivity, determining the need of the Human Resource (HR) function to regularly monitor and maintain employee happiness and satisfaction. However, lack of scientific precision in defining the term ‘happiness’ and inconsistency in its measurement have made this research area more challenging. The study proposes an automated detection technique that uses Natural Language Processing (NLP), to offer the HR function an easy means of implementing a technique that enables constant monitoring of happiness levels, and leverages the data into a tool for evaluating the effectiveness of programs, policies, and practices. A case study is presented to demonstrate the framework’s effectiveness.

Keywords

Happiness HR metrics Email sentiments Natural Language Processing 

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Ariel UniversityArielIsrael

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