Network-Informed Team Formation in Management Education: Translating Social Network Theory Into Teaching Practice

Sharath Sasidharan

Management Teaching Review2026https://doi.org/10.1177/23792981261432636article
AJG 2ABDC C
Weight
0.50

What the paper says

Team-based experiential learning is central to management education, yet team formation is often reduced to an administrative task rather than used as a pedagogical design opportunity. This article reframes student team formation as a deliberate instructional intervention, drawing on social network theory, social learning, social capital, and existing literature. It introduces seven network-informed principles for structuring teams: distributing central actors, including brokers, integrating peripheral members, diversifying cliques, balancing tie strength, anchoring with supportive or neutral ties, and avoiding negative pairings. A complementary seven-step framework shows how instructors can collect and analyze classroom network data to design intentional, transparent, and equitable teams. Applicable to undergraduate, postgraduate, and executive management courses, this approach strengthens communication, knowledge-sharing, and distributed leadership; fosters problem-solving and innovation; increases diversity of ideas; promotes resilience; builds psychological safety; and improves fairness and cohesion, preparing students for the relational complexities of managerial life.

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https://doi.org/https://doi.org/10.1177/23792981261432636

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@article{sharath2026,
  title        = {{Network-Informed Team Formation in Management Education: Translating Social Network Theory Into Teaching Practice}},
  author       = {Sharath Sasidharan},
  journal      = {Management Teaching Review},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/23792981261432636},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

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