rstb20170238_si_005.dta (12.91 kB)

Individual Level Project-Panel Data 04112018.dta from The architecture of network collective intelligence: correlations between social network structure, spatial layout and prestige outcomes in an office

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posted on 25.05.2018 by Felichism Kabo
A social network represents interactions and knowledge that transcend the intelligence of any of its individual members. In this study, we examine the correlations between this network collective intelligence, spatial layout and prestige or status outcomes at the individual and team levels in an organization. We propose that spatially influenced social cognition shapes which individuals become members of prestigious teams in organizations, and the prestige perception of teams by others in the organization. Prestige is a pathway to social rank, influence and upward mobility for individuals in organizations. For groups, perceived prestige of work teams is related to how team members identify with the group and with their collaborative behaviours. Prestige enhances a team's survivability and its access to resources. At the individual level, we ran two-stage Heckman sample selection models to examine the correlation between social network position and the number of prestigious projects a person in a member of, contingent on the association between physical space and social ties and networks. At the team level, we used linear regressions to examine the relationship among network structure, spatial proximity and the perceived prestige or innovativeness of a project team. In line with our hypotheses, for individuals there is a significant correlation between physical space and social networks, and contingent on that between social network positions and the number of prestigious projects that a person is a member of. Also in accordance with our hypotheses, for teams there is a significant correlation between network structure and spatial proximity, and perceived prestige. While cross-sectional, the study findings illustrate the importance of considering the spatial domain in examinations of how network collective intelligence is related to organizational outcomes at the individual and team levels.This article is part of the theme issue ‘Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour’.