Performance Measurement of Major League Baseball Teams Using Network DEA

Herbert F. Lewis ()
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Herbert F. Lewis: Stony Brook University

Chapter Chapter 20 in Data Envelopment Analysis, 2014, pp 475-535 from Springer

Abstract: Abstract Data envelopment analysis (DEA) has been extensively applied to measure the performance of individual athletes and teams in a variety of sports as well as to analyze nations competing in the Olympics. Most of the models presented in the literature are single-stage DEA models which treat the underlying process of converting inputs into outputs as a “black box.” In many situations, analysts are interested in investigating the sources of inefficiency within the organization in order to improve organizational performance. To accomplish this, researchers have developed two-stage and network DEA methodologies. In this chapter, we model an MLB team as comprised of a front office operation which consumes money in the form of player salaries to acquire offensive and defensive talent and an on-field operation which uses the talent to outscore opponents and win games. We present a network DEA methodology to measure performance of the front office operation, the on-field operation, and the overall team. Finally, we conduct two industry-wide studies of Major League Baseball which utilize the network DEA methodology.

Keywords: Two-stage DEA; Network DEA; Major League Baseball; Efficiency measurement in sports (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/978-1-4899-8068-7_20

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