This study offers a comprehensive view of the network centrality–firm performance relationship through a meta-analysis. Drawing on a data set of 1,699 effect sizes retrieved from 147 studies published during 2000–2022, the authors establish a positive association between degree, closeness, betweenness, and eigenvector measures of centrality with firm performance on average. Nevertheless, these measures show significant differences in their effectiveness across various contexts. While the associations of degree, closeness, and betweenness centralities with firm performance have diminished over time, the relationship between eigenvector centrality and performance has strengthened. Moreover, the linkage between degree centrality and overall performance is more pronounced in customer-oriented and larger markets, whereas closeness centrality demonstrates a stronger relationship with overall performance in larger markets. Also, social trust amplifies the relationships of degree, closeness, and betweenness centralities with overall performance. Furthermore, the centrality–performance linkage and the moderating effects of the contingency factors depend at least partially on the type of network (i.e., board interlock vs. alliance vs. supplier–customer) and the measure of firm performance used (i.e., innovation vs. financial outcomes). Incorporating these factors into social network analyses helps managers refine their networking strategies and enables scholars to improve the generalizability of their findings.

本研究通过荟萃分析提供了网络中心性与企业绩效关系的全面观点。作者利用从 2000 年至 2022 年发表的 147 项研究中检索到的 1,699 个效应大小的数据集，在中心性的程度、紧密度、介数和特征向量度量与公司平均绩效之间建立了正相关关系。然而，这些措施在不同情况下的有效性存在显着差异。虽然程度、紧密度和介数中心性与公司绩效的关联随着时间的推移而减弱，但特征向量中心性与绩效之间的关系却加强了。此外，在以客户为导向的市场和较大的市场中，程度中心性和整体绩效之间的联系更为明显，而在较大市场中，紧密度中心性则表明与整体绩效之间的联系更强。此外，社会信任放大了程度、亲密程度和中介中心度与整体绩效的关系。此外，中心性与绩效的联系以及偶发因素的调节作用至少部分取决于网络的类型（即董事会联动、联盟、供应商-客户）以及所使用的企业绩效衡量标准（即创新与创新）。财务成果）。将这些因素纳入社交网络分析有助于管理者完善他们的网络策略，并使学者能够提高他们的研究结果的普遍性。