Engineering Opportunity:A Longitudinal Field Experiment Reveals How Convergent VersusDivergent Network Exposure Influences Social Belonging, NetworkTrajectories, and Career Attainment

Details

Co-Authors

Matthew Yeaton, Paul Green, Grace Cormier, Lara Yang, and Sameer B. Srivastava

Category of Paper

Working Papers

Tags

Field Experiment, Network Communities, Network Range, Social Belonging, Social Networks

Abstract

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

Engineering Opportunity:A Longitudinal Field Experiment Reveals How Convergent VersusDivergent Network Exposure Influences Social Belonging, NetworkTrajectories, and Career Attainment.”