Sunk Costs in the NBA: Why Draft Order Affects Playing Time and Survival in Professional Basketball

This research was supported by a faculty research grant from the Institute of Industrial Relations at the University of California, Berkeley. The authors would like to thank Max Bazerman, Glenn Carroll, Marta Elvira, Chip Heath, Mark Mizruchi, Keith Murnighan, Robert Sutton, and Albert Teo for their suggestions on this research and/or comments on earlier drafts of this article. This study represents one of the first quantitative field tests of the sunk-cost effect. We tested whether the amount teams spent for players in the National Basketball Association (NBA) influenced how much playing time players got and how long they stayed with NBA franchises. Sunk costs were operationalized by the order in which players were selected in the college draft. Draft order was then used to predict playing time, being traded, and survival in the NBA. Although one might logically expect that teams play and keep their most productive players, we found significant sunk-cost effects on each of these important personnel decisions. Results showed that teams granted more playing time to their most highly drafted players and retained them longer, even after controlling for players' on-court performance, injuries, trade status, and position played. These results are discussed in terms of their implications for both sunk-cost research and the broader literature on managerial decision making.'

[1]  Joel B. Cohen,et al.  The social animal. , 1973 .

[2]  M. Hammer New Directions in Organizational Behavior , 1977 .

[3]  A. C. Rogers,et al.  De-escalation of commitment in oil exploration : when sunk costs and negative feedback coincide , 1990 .

[4]  Paul D. Allison,et al.  Event History Analysis : Regression for Longitudinal Event Data , 1984 .

[5]  Chip Heath,et al.  Escalation and De-escalation of Commitment in Response to Sunk Costs: The Role of Budgeting in Mental Accounting , 1995 .

[6]  Barry M. Staw,et al.  Behavior in escalation situations: Antecedents, prototypes, and solutions. , 1987 .

[7]  R. Frank Microeconomics and behavior , 1991 .

[8]  F. Schoorman,et al.  Escalation bias in performance appraisals: An unintended consequence of supervisor participation in hiring decisions. , 1988 .

[9]  Donald E. Conlon,et al.  The Role of Project Completion Information in Resource Allocation Decisions , 1993 .

[10]  J. Brockner The Escalation of Commitment to a Failing Course of Action: Toward Theoretical Progress , 1992 .

[11]  Trond Petersen,et al.  Analysis of Event Histories , 1995 .

[12]  A. Tversky,et al.  Prospect Theory : An Analysis of Decision under Risk Author ( s ) : , 2007 .

[13]  A. Teger,et al.  Too Much Invested to Quit , 1980 .

[14]  H. Garland Throwing Good Money After Bad: The Effect of Sunk Costs on the Decision to Escalate Commitment to an Ongoing Project , 1990 .

[15]  Barry M. Staw,et al.  Knee-deep in the Big Muddy: A study of escalating commitment to a chosen course of action. , 1976 .

[16]  H. Arkes,et al.  The Psychology of Sunk Cost , 1985 .

[17]  Barry M. Staw,et al.  Understanding Behavior in Escalation Situations , 1989, Science.

[18]  M. Shubik The Dollar Auction game: a paradox in noncooperative behavior and escalation , 1971 .

[19]  Barry M. Staw,et al.  Expo 86: An Escalation Prototype. , 1986 .

[20]  Thomas W. Lee,et al.  Introducing survival analysis to organizational researchers: A selected application to turnover research. , 1987 .

[21]  Thomas W. Lee,et al.  Introducing survival analysis to organizational researchers: A selected application to turnover research. , 1987 .