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Committee Decision Making in Organizations: An Experimental Test of the Core

Joel H. Steckel

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Abstract

ABSTRACT One concept that has been widely supported in experiments on predicting the outcome of majority‐rule voting committees is the Core, the set of alternatives that cannot be defeated by any other in a binary contest. Unfortunately, the applicability of these experiments to organizations is limited by a set of rigid controls intended to ensure that the experiments are internally valid. This paper tests the Core in a laboratory environment that relaxes these controls. The Core is found to be highly predictive under these relaxed conditions, thereby enhancing confidence in its external validity.

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What this paper is about

ABSTRACT One concept that has been widely supported in experiments on predicting the outcome of majority‐rule voting committees is the Core, the set of alternatives that cannot be defeated by any other in a binary contest. Unfortunately, the applicability of these experiments to organizations is limited by a set of rigid controls intended to ensure that the experiments are internally valid. This paper tests the Core in a laboratory environment that relaxes these controls. The Core is found to be highly predictive under these relaxed conditions, thereby enhancing confidence in its external validity.

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Available abstract

ABSTRACT One concept that has been widely supported in experiments on predicting the outcome of majority‐rule voting committees is the Core, the set of alternatives that cannot be defeated by any other in a binary contest. Unfortunately, the applicability of these experiments to organizations is limited by a set of rigid controls intended to ensure that the experiments are internally valid. This paper tests the Core in a laboratory environment that relaxes these controls. The Core is found to be highly predictive under these relaxed conditions, thereby enhancing confidence in its external validity.

Key concepts: Core (optical fiber), CONTEST, Outcome (game theory), Set (abstract data type), Computer science, Voting, Test (biology), Operations research

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