An organisation's position within a network is known to influence its performance. This study proposes a novel evaluation model, incorporating social networking variables, to measure 30 Major League Baseball (MLB) teams' performances. Using the data envelopment analysis (DEA) technique, the empirical results of this study show that inefficiencies are due to purely technical rather than scale effects. The results of a sensitivity analysis indicated that the betweenness centrality had a higher level of influence on each team's performance than on the salaries paid. If the betweenness centrality was not considered, five of the teams considered to be technically efficient would become inefficient.

中文翻译：

---

美国职业棒球大联盟球队的绩效评估：综合社交网络和数据包络分析

众所周知，组织在网络中的位置会影响其绩效。本研究提出了一种新的评估模型，结合社交网络变量，来衡量 30 支美国职业棒球大联盟 (MLB) 球队的表现。使用数据包络分析 (DEA) 技术，本研究的实证结果表明，效率低下是由于纯技术而非规模效应。敏感性分析的结果表明，中介中心性对每个团队的绩效的影响程度高于对支付的薪水的影响。如果不考虑中介中心性，则认为技术上有效的五个团队将变得效率低下。