Retrieved from Īuthors who publish with this journal agree to the following terms:Ī. Data-Driven Decision-Making: Some Rough Ideas. Lancester University Management School, Centre for Performance-led HR. Intuition in organizational decision making. (2012).What the movie Moneyball teaches us about data-driven decision making. Khatri, N., Ng, H.(2000).Role of Intuition in strategic decision making. College of Business at Southeastern Louisiana University. (2003).The Hidden Traps in Decision Making.Harvard Business. (1999).Smart Choices: A Practical Guide To Making Better Life Decisions. Hammond, J.S., Kenney, R.L., & Raiffa, H. Eight lessons form Moneyball: The high cost of ignoring evidence-based corrections. Wharton, School, University of Pennsylvania.Ĭullen, F., Myer, A., & Latessa, E. How does data-driven decision making affect firm productivity and CEO pay?. Measuring system engineering success: Insights from baseball.Working Paper Series.ESD-WPp2007-26.īrynjolfsson, E. 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.īlackburn, C., Valerdim, R. Moneyball approached that using data-driven decision making gave excellent result for Beane’s team.
Many teams still use the old paradigm that rely on experts’ judgments, intuition, or experience in decision making process. 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. 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.
Decision making, data management, sport industry Abstractīilly Beanes’s success in using data-driven decision making in baseball industry is wonderfully written by Michael Lewis in Moneyball.
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