Profiting from product-harm crises in competitive markets
Olivier Rubel
European Journal of Operational Research, 2018, vol. 265, issue 1, 219-227
Abstract:
Product-harm crises force managers to implement pricing strategies that optimally balance profitability with future potential costs of a recall. We propose a stochastic differential game to investigate what should be the optimal competitive pricing strategies in such contexts. In the proposed model, firms strategically choose prices taking into account that any player in the market can be forced to recall large volume of products at random dates. The characterization of the optimal pricing strategies yields novel managerial insights. We first find that prices of risk-prone products should be higher than prices of risk-free products due to the addition of state dependent risk-premia. Optimal pricing strategies differ depending on whether firms play Nash or Stackelberg. Furthermore, we find that despite its leadership position, the value function of the leader is lower than the value function of the follower. Finally, we discover that long term profits of competing firms can increase with intensities of the jump processes governing product harm crises. This surprising result happens because anticipating a product harm crisis softens price competition.
Keywords: Marketing; Pricing; Product recall; Stochastic optimal control; Stochastic differential games (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (10)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221717306598
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:265:y:2018:i:1:p:219-227
DOI: 10.1016/j.ejor.2017.07.032
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().