Analysis of Decision Making Process in Moneyball: The Art of Winning an Unfair Game

Authors

  • Mochamad Sandy Triady BINUS University
  • Ami Fitri Utami BINUS University

DOI:

https://doi.org/10.21512/tw.v16i1.1555

Keywords:

decision making, data management, sport industry

Abstract

Billy Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball. As a general manager in baseball team that were in the bottom position of the league from the financial side to acquire the players, Beane, along with his partner, explored the use of data in choosing the team’s player. They figured out how to determine the worth of every player.The process was not smooth, due to the condition of baseball industry that was not common with using advanced statistic in acquiring   players. Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team. The team won 20 gamessequently in the 2002 season and also spent the lowest cost per win than other teams.This paper attempts to review the principles of Moneyball – The Art of Winning an Unfair Game as a process of decision making and gives what we can learn from the story in order to win the games, the unfair games.

Author Biographies

Mochamad Sandy Triady, BINUS University

Management Department

Ami Fitri Utami, BINUS University

Management Department

References

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Published

2015-03-31
Abstract 985  .
PDF downloaded 307  .