|M.Sc Student||Rosenfeld Yakov|
|Subject||Expression of Mixed Emotions in Employee|
Communication in an Organzational Social
Network: An Automated Text Analysis
|Department||Department of Industrial Engineering and Management||Supervisor||Professor Anat Rafaeli|
|Full Thesis text|
There has long been a controversy among scholars as to whether people can experience both positive and negative emotions simultaneously. Available research, based on self-report methods and vulnerable to many biases, has not been able to get a clear answer for this question. In this study, we begin to fill the gap by using automated tools to analyze texts of employees in a natural real-life setting. We analyze texts mined from an organizational social network, where employees collaborate and exchange thoughts, providing a non-obtrusive access to emotion expressions in organizational communication. The tool we used estimates an intensity for several specific emotions, and the focus of the study was text that contained a combination of positive and negative emotions.
Our analyses of two applications (blogs and micro-blogs) found (1) substantial emotional expression in organizational communication; (2) most posts written by employees contain mixed emotions, e.g. happiness mixed with anger or fear; (3) managers express more mixed emotions than non-manager employees; (4) employees express mixed emotions with higher intensity than single emotions. Our method opens the opportunity for further research with implications for management.