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Individual Level Data 04112018.dta from The architecture of network <i>collective intelligence</i>: correlations between social network structure, spatial layout and prestige outcomes in an office

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The Royal Society Figshare2018-07-02 更新2026-04-17 收录
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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 <i>network collective intelligence</i>, 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’.

社会网络(social network)承载着超越其任意单个成员智能范畴的互动与知识。本研究旨在考察网络集体智能(network collective intelligence)、空间布局,与组织内个体及团队层面的声望或地位结果之间的关联。我们提出,受空间因素塑造的社会认知,将决定哪些个体能够跻身组织内的高声望团队,同时也会影响组织内其他成员对团队声望的感知。对于个体而言,声望是获取社会地位、影响力与职场向上流动的重要路径;对于团队来说,外界感知到的团队声望,与团队成员的群体认同感及协作行为紧密相关。声望能够提升团队的存续能力与资源获取渠道。在个体层面,我们采用两阶段赫克曼(Heckman)样本选择模型,检验了社会网络位置与个体所属高声望项目数量之间的关联,该关联以物理空间与社会联结、社会网络之间的联系为调节条件。在团队层面,我们通过线性回归分析,考察了网络结构、空间邻近性与项目团队感知声望或创新性之间的关系。与研究假设一致,对于个体而言,物理空间与社会网络之间存在显著关联,且社会网络位置与个体所属高声望项目数量之间的关联亦以此为调节条件。同样契合我们的假设,对于团队而言,网络结构与空间邻近性、感知声望之间存在显著关联。尽管本研究为横断面研究,但其结果证实,在探讨网络集体智能如何与组织内个体及团队层面的产出产生关联时,纳入空间维度的考量至关重要。本文属于专题议题“揭示建筑对集体行为的影响:跨学科研究方法”(Interdisciplinary approaches for uncovering the impacts of architecture on collective behaviour)的一部分。

提供机构:
Felichism Kabo
创建时间:
2018-05-25
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