Celebrating the Work of Keith Murnighan

Donald E. Conlon; Max   Bazerman; Deepak  Malhotra; Madan M. Pillutla

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Article | Negotiation and Conflict Management Research

Celebrating the Work of Keith Murnighan

by Donald E. Conlon, Max Bazerman, Deepak Malhotra and Madan M. Pillutla

Abstract

In this tribute, four scholars highlight research published during the career of 2015 International Association for Conflict Management Lifetime Achievement Award Winner Keith Murnighan. In the four sections of the paper, each scholar highlights one of Keith’s published papers and discusses the impact it had on them, as well as the field of organizational behavior more generally. The authors close by going beyond each article to identify common themes that emerge across the works.

Keywords: Conflict Management;

Format: Print

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Citation:

Conlon, Donald E., Max Bazerman, Deepak Malhotra, and Madan M. Pillutla. "Celebrating the Work of Keith Murnighan." Negotiation and Conflict Management Research 9, no. 4 (November 2016): 332–344.

About the Authors

Max H. Bazerman

Jesse Isidor Straus Professor of Business Administration

Negotiation, Organizations & Markets

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Deepak Malhotra

Eli Goldston Professor of Business Administration

Negotiation, Organizations & Markets

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Article | Journal of Behavioral Economics for Policy | 2019

Pay-for-Monopoly?: An Assessment of Reverse Payment Deals by Pharmaceutical Companies

Sana Rafiq and Max Bazerman

Citation:
Rafiq, Sana, and Max Bazerman. "Pay-for-Monopoly? An Assessment of Reverse Payment Deals by Pharmaceutical Companies." Journal of Behavioral Economics for Policy 3, no. 1 (2019): 37–43. View Details

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Working Paper | 2019

Redirecting Rawlsian Reasoning toward the Greater Good

Joshua D. Greene, Karen Huang and Max Bazerman

Citation:
Greene, Joshua D., Karen Huang, and Max Bazerman. "Redirecting Rawlsian Reasoning toward the Greater Good." Working Paper, 2019. View Details

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Working Paper | 2019

Veil-of-Ignorance Reasoning Favors the Greater Good

Karen Huang, Joshua D. Greene and Max Bazerman

The “veil of ignorance” is a moral reasoning device designed to promote impartial decision-making by denying decision-makers access to potentially biasing information about who will benefit most or least from the available options. Veil-of-ignorance reasoning was originally applied by philosophers and economists to foundational questions concerning the overall organization of society. Here we apply veil-of-ignorance reasoning in a more focused way to specific moral dilemmas, all of which involve a tension between the greater good and competing moral concerns. Across six experiments (N = 5,785), three pre-registered, we find that veil-of-ignorance reasoning favors the greater good. Participants first engaged in veil-of-ignorance reasoning about a specific dilemma, asking themselves what they would want if they did not know who among those affected they would be. Participants then responded to a more conventional version of the same dilemma with a moral judgment, a policy preference, or an economic choice. Participants who first engaged in veil-of-ignorance reasoning subsequently made more utilitarian choices in response to a classic philosophical dilemma, a medical dilemma, a real donation decision between a more vs. less effective charity, and a policy decision concerning the social dilemma of autonomous vehicles. These effects depend on the impartial thinking induced by veil-of-ignorance reasoning and cannot be explained by a simple anchoring account, probabilistic reasoning, or generic perspective-taking. These studies indicate that veil-of-ignorance reasoning may be a useful tool for decision-makers who wish to make more impartial and/or socially beneficial choices.

Keywords: policy-making; procedural justice; Ethics; Decision Making; Fairness;

Citation:
Huang, Karen, Joshua D. Greene, and Max Bazerman. "Veil-of-Ignorance Reasoning Favors the Greater Good." Working Paper, July 2019. View Details

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Celebrating the Work of Keith Murnighan

Abstract

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