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Customer-driven investment decisions in existing multiple sales channels: A downstream supply chain analysis

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  • Salmani, Yasamin
  • Partovi, Fariborz Y.
  • Banerjee, Avijit

Abstract

A supply chain employing multiple sales channels, needs to continually enhance these channels for achieving competitive advantage. The purpose of this paper is to provide a channel-level benefit-cost analysis, through an integration of operations and marketing perspectives to ultimately provide a systematic procedure for optimal investment decisions towards improving existing sales channels. This study is motivated by the decision for improvement, on the part of many established firms that typically utilize multiple channel structures. In pursuing our objective, an analytic network process (ANP), that considers both customer priorities and demand correlations among channels, is suggested, for obtaining customer input data. Utilizing a proposed benefit-cost ratio metric for each channel, incorporating customer input information, as well as relevant operating costs, we outline a mathematical programming procedure for determining the optimal allocation of a limited investment budget among these channels. Our suggested methodological approach is illustrated by a realistic numerical example and some selected sensitivity analysis.

Suggested Citation

  • Salmani, Yasamin & Partovi, Fariborz Y. & Banerjee, Avijit, 2018. "Customer-driven investment decisions in existing multiple sales channels: A downstream supply chain analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 44-58.
  • Handle: RePEc:eee:proeco:v:204:y:2018:i:c:p:44-58
    DOI: 10.1016/j.ijpe.2018.07.029
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    3. Liu Jiaguo & Zhang Huimin & Zhao Huida, 2021. "Blockchain Technology Investment and Sharing Strategy of Port Supply Chain Under Competitive Environment," Journal of Systems Science and Information, De Gruyter, vol. 9(3), pages 280-309, June.

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