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Catch and release? NHL expansion draft endowment effects

Catch and release? NHL expansion draft endowment effects The purpose of this paper is to investigate National Hockey League (NHL) expansion draft decisions to measure divestment aversion and endowment effects, and analyze bias and its affect on presumed rational analytic decision making.Design/methodology/approachA natural experiment with three variables (age, minutes played and presence of a prior relationship with a team’s management), filtered athletes that were exposed or protected to selection. A machine learning algorithm trained on a group of 17 teams was applied to the remaining 13 teams.FindingsAthletes with pre-existing management relationships were 1.7 times more likely to be protected. Athletes playing fewer relative position minutes were less likely to be protected, as were older athletes. Athlete selection was predominantly determined by time on ice.Research limitations/implicationsThis represents a single set of independent decisions using publicly available data absent of context. The results may not be generalizable beyond the NHL or sport.Practical implicationsThe research confirms the affect of prior relationships on decision making and provides further evidence of measurable sub-optimal decision making.Social implicationsDecision making has implications throughout human resources and impacts competitiveness and productivity. This adds to the need for managers to recognize and implement de-biasing in areas such as hiring, performance appraisal and downsizing.Originality/valueThis natural experiment involving high-stakes decision makers confirms bias in a setting that has been dominated by students, low stakes or artificial settings. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Sport, Business and Management: An International Journal Emerald Publishing

Catch and release? NHL expansion draft endowment effects

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2042-678X
DOI
10.1108/sbm-04-2018-0028
Publisher site
See Article on Publisher Site

Abstract

The purpose of this paper is to investigate National Hockey League (NHL) expansion draft decisions to measure divestment aversion and endowment effects, and analyze bias and its affect on presumed rational analytic decision making.Design/methodology/approachA natural experiment with three variables (age, minutes played and presence of a prior relationship with a team’s management), filtered athletes that were exposed or protected to selection. A machine learning algorithm trained on a group of 17 teams was applied to the remaining 13 teams.FindingsAthletes with pre-existing management relationships were 1.7 times more likely to be protected. Athletes playing fewer relative position minutes were less likely to be protected, as were older athletes. Athlete selection was predominantly determined by time on ice.Research limitations/implicationsThis represents a single set of independent decisions using publicly available data absent of context. The results may not be generalizable beyond the NHL or sport.Practical implicationsThe research confirms the affect of prior relationships on decision making and provides further evidence of measurable sub-optimal decision making.Social implicationsDecision making has implications throughout human resources and impacts competitiveness and productivity. This adds to the need for managers to recognize and implement de-biasing in areas such as hiring, performance appraisal and downsizing.Originality/valueThis natural experiment involving high-stakes decision makers confirms bias in a setting that has been dominated by students, low stakes or artificial settings.

Journal

Sport, Business and Management: An International JournalEmerald Publishing

Published: Jun 13, 2019

Keywords: Decision making; Bias; Endowment; NHL; Divestment aversion; Expansion draft

References