TY - GEN
T1 - Measurement of organizational happiness
AU - Eckhaus, Eyal
N1 - Publisher Copyright:
© Springer International Publishing AG 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
KW - Email sentiments
KW - HR metrics
KW - Happiness
KW - Natural language processing
UR - http://www.scopus.com/inward/record.url?scp=85031309195&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-60372-8_26
DO - 10.1007/978-3-319-60372-8_26
M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???
AN - SCOPUS:85031309195
SN - 9783319603711
T3 - Advances in Intelligent Systems and Computing
SP - 266
EP - 278
BT - Advances in Human Factors, Business Management and Leadership - Proceedings of the AHFE 2017 International Conferences on Human Factors in Management and Leadership, and Business Management and Society
A2 - Barath, Tibor
A2 - Kantola, Jussi Ilari
A2 - Nazir, Salman
T2 - AHFE 2017 International Conferences on Human Factors in Management and Leadership, and Business Management and Society, 2017
Y2 - 17 July 2017 through 21 July 2017
ER -