Countering Negotiation Power Asymmetries by Using the Adjusted Winner Algorithm

Abstract

One promise of computational decision support is enabling better solutions in interactions and social exchange by supporting human strengths (e.g. intuitive decision-making) with formal procedures. This study investigates whether mathematical post-negotiation procedures can guide parties to an efficient negotiation result and thus overcome the shortcomings of human-only approaches in the situation of power asymmetry. The results show that (a) an increase in power by means of a rise in issue authority for one of the two parties does not lead to an increase in humans’ negotiation efficiency, (b) the use of mathematical post-negotiation procedures eminently improves the overall results and (c) the powerful party is likely to benefit most from applying a neutral post-negotiation procedure.