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The impact of human decision makers' individualities on the wholesale price contract's efficiency: Simulating the newsvendor problem

Dimitriou, Stavrianna, Robinson, Stewart, Kotiadis, Kathy (2009) The impact of human decision makers' individualities on the wholesale price contract's efficiency: Simulating the newsvendor problem. In: Rossetti, M.D. and Hill, R.R. and Johansson, B. and Dunkin, A. and Ingalls, R.G., eds. Proceedings - Winter Simulation Conference. Proceedings of the 2009 Winter Simulation Conference (WSC). . pp. 2353-2364. IEEE, Austin, USA (doi:10.1109/WSC.2009.5429209) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:91501)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
Official URL:
https://doi.org/10.1109/WSC.2009.5429209

Abstract

Suppliers and retailers in the newsvendor setting need to submit their pricing and inventory decisions respectively, well before actual customer demand is realized. In the literature they have both been typically considered as perfectly rational optimizers, exclusively interested in their own respective benefits. Under the above set of conditions the wholesale price-only contract has long been analytically proven as inefficient. We asked real human subjects to act as suppliers or retailers in simulation games performed in the laboratory. We found their decisions to significantly deviate from the perfectly rational decisions. By using Agent Based Simulation as the evaluation tool, we investigated the effect of their varying individual preferences on the contract's efficiency. In doing so we established sufficient evidence that the contract can emerge as efficient, in spite of the underlying strategies' under-performances. This counter-intuitive result fully supports the contract's long observed wide popularity.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/WSC.2009.5429209
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Depositing User: Kathy Kotiadis
Date Deposited: 10 Nov 2021 15:51 UTC
Last Modified: 16 Nov 2021 10:35 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/91501 (The current URI for this page, for reference purposes)

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