Engineering Opportunity: A Longitudinal Field Experiment Reveals How Convergent Versus Divergent Network Exposure Influences Social Belonging, Network Trajectories, and Career Attainment
Prof. Sameer Srivastava
Ewald T. Grether Professor of Business Administration and Public Policy
Haas School of Business
UC Berkeley
Social belonging is a fundamental human need that people seek in the workplace. While traditional approaches to engendering belonging focus on mindset interventions, the authors instead develop a novel structural intervention that fosters belonging by altering opportunity structures for interaction. They distinguish between two forms of exposure to unfamiliar colleagues: convergent (within the same network community) and divergent (across communities). In a longitudinal field experiment at a non-profit organization (N=213), participants were randomly assigned to convergent or divergent groups for a professional development experience. Convergent exposure produced greater group solidarity and, three months post-intervention, more persistent ties and greater social belonging. Conversely, divergent exposure moved participants to structurally advantaged positions of lower constraint and greater centrality, resulting in faster promotion rates. Using a ground-truth network survey, digital trace data, and computational linguistics, the authors reveal a fundamental tradeoff: While even a brief experience of convergent exposure provides persistent psychological benefits, a comparable experience of divergent exposure produces enduring structural advantages that support career attainment.













