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Service quality, outsourcing and upward channel decentralization

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  • Desheng Dash Wu

    (RiskLab, University of Toronto, Toronto, Canada)

Abstract

We build a model to analyse the benefit of upward channel decentralization for a firm choosing service outsourcing and integration. The key findings of this paper are as follows. First, we formulate an upward channel decentralization problem as a game incorporating consumer behaviour of willingness to pay in a channel duopoly. Our model considers (i) service quality, (ii) consumer marginal willingness to pay (MWTP), and (iii) consumer perceivable difference. A supply chain firm’s preference of outsourcing strategy depends on the monotonicity of both the failure rate (or Mills Ratio) and CDF-PDF ratio of MWTP distribution function. Second, we use this model to explore the benefit of retailer strategy of upward channel decentralization. An equilibrium can be achieved by benefiting the low-label product with low quality service but deteriorating the high-label channel product with high quality.

Suggested Citation

  • Desheng Dash Wu, 2016. "Service quality, outsourcing and upward channel decentralization," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 240-247, February.
  • Handle: RePEc:pal:jorsoc:v:67:y:2016:i:2:p:240-247
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    Cited by:

    1. Taleizadeh, Ata Allah & Sadeghi, Razieh, 2019. "Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 48-60.
    2. Qi Chen & Qi Xu, 2022. "Joint optimal pricing and advertising policies in a fashion supply chain under the ODM strategy considering fashion level and goodwill," Journal of Combinatorial Optimization, Springer, vol. 43(5), pages 1075-1105, July.
    3. Qi Chen & Qi Xu, 0. "Joint optimal pricing and advertising policies in a fashion supply chain under the ODM strategy considering fashion level and goodwill," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-31.

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