Finding top performers through email patterns analysis
- URL: http://arxiv.org/abs/2105.13025v1
- Date: Thu, 27 May 2021 09:45:02 GMT
- Title: Finding top performers through email patterns analysis
- Authors: Q. Wen, P. A. Gloor, A. Fronzetti Colladon, P. Tickoo, T. Joshi
- Abstract summary: This study combines social network and semantic analysis to identify top performers based on email communication.
Top performers tend to assume central network positions and have high responsiveness to emails.
In email contents, top performers use more positive and complex language, with low emotionality, but rich in influential words that are probably reused by co-workers.
- Score: 0.0
- License: http://creativecommons.org/licenses/by-nc-nd/4.0/
- Abstract: In the information economy, individuals' work performance is closely
associated with their digital communication strategies. This study combines
social network and semantic analysis to develop a method to identify top
performers based on email communication. By reviewing existing literature, we
identified the indicators that quantify email communication into measurable
dimensions. To empirically examine the predictive power of the proposed
indicators, we collected 2 million email archive of 578 executives in an
international service company. Panel regression was employed to derive
interpretable association between email indicators and top performance. The
results suggest that top performers tend to assume central network positions
and have high responsiveness to emails. In email contents, top performers use
more positive and complex language, with low emotionality, but rich in
influential words that are probably reused by co-workers. To better explore the
predictive power of the email indicators, we employed AdaBoost machine learning
models, which achieved 83.56% accuracy in identifying top performers. With
cluster analysis, we further find three categories of top performers,
"networkers" with central network positions, "influencers" with influential
ideas and "positivists" with positive sentiments. The findings suggest that top
performers have distinctive email communication patterns, laying the foundation
for grounding email communication competence in theory. The proposed email
analysis method also provides a tool to evaluate the different types of
individual communication styles.
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