849
Views
63
CrossRef citations to date
0
Altmetric
Articles

Pricing policy and coordination for a two-layer supply chain of duopolistic retailers and socially responsible manufacturer

, &
Pages 487-508 | Received 04 Nov 2014, Accepted 17 Aug 2015, Published online: 02 Nov 2015
 

ABSTRACT

This paper explores channel coordination and profit distribution in a two-layer socially responsible supply chain that consists of a manufacturer and two competitive retailers. In manufacturer-Stackelberg game setting, the manufacturer exhibits corporate social responsibility and the retailers play Cournot and Collusion games. Besides comparing the optimal decisions of the retailers two game behaviours, the paper analyses the effects of social responsibility on the optimal decisions. It is found that two-part tariff contract resolves channel conflict and provides win–win outcome for a specific range of the franchise fee and it is always possible to find a particular profit split using Nash bargaining product. With increasing social responsibility of the manufacturer, the coordinated wholesale prices of the manufacturer may be both decreasing or ‘U’ shaped and decreasing when the market potentials of the retailers are almost the same or significantly different. Also, at least one coordinated wholesale price is less than the manufacturer's marginal cost. The proposed model is illustrated by a numerical example.

Disclosure statement

No potential conflict of interest was reported by the authors.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 235.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.