Loading…

Dynamic innovation and pricing decisions in a supply-Chain

•A differential game of innovation and pricing decisions with one seller & one buyer.•Firms can put efforts for product/process improvement at upstream firm’s end.•Feedback equilibrium strategies are obtained, optimal decisions linear in goodwill.•Insights on incentives of firms to innovate and...

Full description

Saved in:
Bibliographic Details
Published in:Omega (Oxford) 2021-09, Vol.103, p.102423, Article 102423
Main Authors: Song, Jian, Chutani, Anshuman, Dolgui, Alexandre, Liang, Liang
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:•A differential game of innovation and pricing decisions with one seller & one buyer.•Firms can put efforts for product/process improvement at upstream firm’s end.•Feedback equilibrium strategies are obtained, optimal decisions linear in goodwill.•Insights on incentives of firms to innovate and how they evolve with time.•Insights on how innovation and pricing policies depend on various model parameters. This paper studies dynamic innovation and pricing decisions in a two-echelon supply chain. We model a distribution channel where a seller sells a product to an independent buyer who ultimately sells it to the customers. We refer to innovation as efforts made on the product quality improvement, or on process improvement. Both the players can put innovation efforts over time which in turn may enhance the goodwill of the product in market. The product demand increases with goodwill and decreases with the retail price. The innovation efforts can also impact the unit processing cost of the product at the upstream firm’s end positively or negatively. We model the problem as a Stackelberg differential game in which the seller first announces its wholesale price and innovation efforts over time and the buyer responds by deciding the retail price and its innovation efforts over time. We obtain feedback equilibrium strategies for a central decision maker in centralized channel, and for both the players in a decentralized channel. We also obtain several useful managerial insights using analytical as well as numerical means.
ISSN:0305-0483
1873-5274
DOI:10.1016/j.omega.2021.102423