| Article ID: | iaor20082400 |
| Country: | United Kingdom |
| Volume: | 58 |
| Issue: | 11 |
| Start Page Number: | 1449 |
| End Page Number: | 1458 |
| Publication Date: | Nov 2007 |
| Journal: | Journal of the Operational Research Society |
| Authors: | Arcelus F.J., Srinivasan G., Kumar S. |
| Keywords: | inventory, supply & supply chains, manufacturing industries, stochastic processes |
This paper considers a single-period problem designed to analyse the pricing strategy of a manufacturer who does not possess full information about the retailer’s risk-preferences. The retailer, who faces a price-dependent stochastic demand, is a maximizer of the risk-adjusted expected profit, rather than of the expected profit. The paper first evaluates the implication of the various risk-preferences of the retailer on the manufacturer’s policy under a full-information scenario. Then, it considers a partial information scenario and computes the expected value of perfect information. Finally, it assesses the impact on the manufacturer’s profit of sharing the retailer’s risk through the introduction of a buyback policy. Linear or iso-elastic demand functions and additive or multiplicative demand error structures capture the demand distributions. Analytical results as well as numerical examples illustrate the main features of the model.