Abstract
This paper explores the impact of homophily in formal and social networks within a hierarchical organization. Specifically, it examines how employees form relationships within formal work relations, including the giving and receiving of work orders and help requests, as well as informal social ties. Through Social Network Analysis (SNA), the study identifies the extent to which homophilic tendencies—such as similar roles, gender, race, and other personal characteristics—shape these networks. The innovation of this research lies in comparing homophily across both formal and social networks, using advanced statistical techniques like Moran’s I and Geary’s C to quantify the spatial autocorrelation of roles within the networks. The study concludes that while homophily can enhance communication and collaboration among similar individuals, it also risks creating exclusive networks that limit diversity of ideas and perspectives. The findings suggest that organizations with more rigid hierarchies may be more susceptible to these biases, and strategies to diversify help-seeking networks are recommended to improve organizational decision-making and innovation.
Original language | English |
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Article number | e08661 |
Journal | Computational and Mathematical Organization Theory |
DOIs | |
State | Accepted/In press - 2025 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.
Keywords
- Hierarchical Organization
- Homophily
- Organizational networks
- SNA
ASJC Scopus subject areas
- General Decision Sciences
- General Computer Science
- Modeling and Simulation
- Computational Mathematics
- Applied Mathematics