Group Identification and Decision Disclosure Effects on Costly Decisions to Reduce Group Risk
40 Pages Posted: 27 Apr 2006 Last revised: 12 Aug 2008
Date Written: July 30, 2008
Abstract
Our experiment investigates using group identification and decision disclosure to reduce partners' tendencies to risk partnership assets for personal gain. We manipulate group identity (weak, strong) and decision disclosure (yes, no) and ask participants to decide whether to protect partnership assets from their randomly-determined bad outcomes. We find that (1) strong group-identity participants are more likely to protect their group than weak group-identity participants; (2) weak group-identity participants are more likely to protect their group when protection decisions will be disclosed; and (3) the strong group identity advantage declines when protection decisions will be disclosed. These findings are important to decentralized professional partnerships hoping to reduce reputational risk without restructuring compensation and to researchers studying incentive effects in professional settings.
Keywords: Public Goods, Reputations, Group Identity, Decision Disclosure, Firm Risk, Professional partnerships
JEL Classification: H41, L20, M49
Suggested Citation: Suggested Citation
Do you have a job opening that you would like to promote on SSRN?
Recommended Papers
-
Asset Pricing Under Endogenous Expectations in an Artificial Stock Market
By W. Brian Arthur, John H. Holland, ...
-
The Dow Theory: William Peter Hamilton's Track Record Re-Considered
By Stephen J. Brown, Alok Kumar, ...
-
Agent-Based Computational Economics: Growing Economies from the Bottom Up
-
Social Behaviors, Enforcement, and Compliance Dynamics
By Jon S. Davis, Gary Hecht, ...
-
Agent-Based Models of Financial Markets: A Comparison with Experimental Markets
By Tomaso Poggio, Andrew W. Lo, ...
-
When the Bubble is Going to Burst
By Jing Chen
-
What If Hayek Goes Shopping in the Bazaar
By Marco Lamieri and Enrico Bertacchini
-
By Stefano Balbi and Carlo Giupponi
-
Automated Trading with Boosting and Expert Weighting
By Germán G. Creamer and Yoav Freund