Using Organizational Social Networks to Predict Employee Engagement

Authors

  • Shion Guha Cornell University
  • Michael Muller IBM Research
  • N Sadat Shami IBM
  • Mikhil Masli IBM
  • Werner Geyer IBM Research

DOI:

https://doi.org/10.1609/icwsm.v10i1.14814

Abstract

Employee engagement (EE) has been shown to have important implications for the success of organizations. Most researchers have discussed employee engagement in terms of factors in a top-down, hierarchical model of the organization. However, there may also be contributing factors from an employee‟s intra-organizational social network. (IOSN). In this paper, we show that an employee‟s social network attributes can contribute to the prediction of engagement, primarily through centrality and homophily in a large, multinational company. Our research expands the range of theoretical factors that can predict employee engagement from a top-down vertical model to a mixed-factor horizontal model. We discuss how this work points toward a richer set of methods to predict engagement, as well as new ways of thinking about organizational networks.

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Published

2021-08-04

How to Cite

Guha, S., Muller, M., Shami, N. S., Masli, M., & Geyer, W. (2021). Using Organizational Social Networks to Predict Employee Engagement. Proceedings of the International AAAI Conference on Web and Social Media, 10(1), 571-574. https://doi.org/10.1609/icwsm.v10i1.14814