Social Network Analysis for Detecting Indicators of Favouritism in the Appointment of Corporate Managers

Several factors influence the choice of managers within organizations: previous experience, individual competencies, leadership attitudes, among many others. However, a central issue in the culture of corporate meritocracy is ensuring that there is no personal favouritism in the appointment of leading positions. This paper proposes a social network analytical approach to systematically measure the level of influence of connections between individuals in the appointments of managers. Promising preliminary results were validated through a case study containing historical data on workforce movement from a Brazilian mixed economy company.

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Published
2024-10-14
DOI
https://doi.org/10.5753/sbbd_estendido.2024.243715
Primary Topic
Complex Network Analysis Techniques
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article
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article

Social Network Analysis for Detecting Indicators of Favouritism in the Appointment of Corporate Managers

André Ormastroni Victor, Luis Alberto Martins Sales, Rafael Basso, João F. C. Rocha et al.
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Complex Network Analysis Techniques
article

Social Network Analysis for Detecting Indicators of Favouritism in the Appointment of Corporate Managers

André Ormastroni Victor, Luis Alberto Martins Sales, Rafael Basso, João F. C. Rocha, Bruno Soares Negri Contursi, Thiago Pereira Meirelles
article en

Abstract

Several factors influence the choice of managers within organizations: previous experience, individual competencies, leadership attitudes, among many others. However, a central issue in the culture of corporate meritocracy is ensuring that there is no personal favouritism in the appointment of leading positions. This paper proposes a social network analytical approach to systematically measure the level of influence of connections between individuals in the appointments of managers. Promising preliminary results were validated through a case study containing historical data on workforce movement from a Brazilian mixed economy company.

Petrobras (Brazil) (BR)
Decent work and economic growth
Openalex Percentile: Top 83%
Complex Network Analysis Techniques
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