A performance evaluation of Major League Baseball teams: An integrated social network and data envelopment analysis

An‐Pang Wang, Che‐Wei Chang, Juin‐Ming Tsai and Shiu‐Wan Hung

Managerial and Decision Economics, 2021, vol. 42, issue 6, 1421-1434

Abstract: 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.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1002/mde.3316

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:wly:mgtdec:v:42:y:2021:i:6:p:1421-1434

Access Statistics for this article

Managerial and Decision Economics is currently edited by Antony Dnes

More articles in Managerial and Decision Economics from John Wiley & Sons, Ltd.
Bibliographic data for series maintained by Wiley Content Delivery ().