Using Linear Programming to Determine Post-Facto Consistency in Performance Evaluations of Major League Baseball Players
Christopher Zappe,
William Webster and
Ira Horowitz
Additional contact information
Christopher Zappe: Management Department, Bucknell University, Lewisburg, Pennsylvania 17837
William Webster: Decision and Information Sciences Department, 351 Business Building, University of Florida, Gainesville, Florida 32611-2017
Ira Horowitz: Decision and Information Sciences Department, 351 Business Building, University of Florida, Gainesville, Florida 32611-2017
Interfaces, 1993, vol. 23, issue 6, 107-113
Abstract:
We use linear programming to judge the consistency of the performance appraisals that Bill James has made of major league baseball players. In particular, we use a linear programming model to determine whether weights for the set of performance measures can be found such that the players' ordinal ratings can be reconstructed. This approach can be used to judge the consistency of performance appraisals for groups of employees.
Keywords: programming: linear applications; recreation/sports (search for similar items in EconPapers)
Date: 1993
References: Add references at CitEc
Citations: View citations in EconPapers (8)
Downloads: (external link)
http://dx.doi.org/10.1287/inte.23.6.107 (application/pdf)
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:inm:orinte:v:23:y:1993:i:6:p:107-113
Access Statistics for this article
More articles in Interfaces from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().