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Research on Advertising and Pricing in E-Supply Chain Under Different Dominant Modes

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  • Wang Yuyan
  • Yu Zhaoqing

    (School of Management Science and Engineering, Shandong University of Finance and Economics, Jinan, 250014, China)

Abstract

The E-supply chain is formed gradually along with the development of network, which is getting more attention among enterprises with unique advantages. Three E-supply chain operation modes are constructed in this paper, then the optimal pricing and advertising strategies under those modes are studied and compared, which are demonstrated with numerical examples. The results of comparison and analysis show that: Selling price, network platform service level, advertising investment and the profits of manufacturer, network platform and E-supply chain all increase with advertising effectiveness of stimulating demand growth. Under centralized decision-making mode, service level is highest, advertising investment is largest and the profit of E-supply chain is highest as well. When manufacturer leads decentralized decision-making mode, not only network service level, advertising investment and the profit of manufacturer can gain better results, but also profit of network platform can be higher while the advertisement effect of increasing demand is big enough. Additionally, it is confirmed that centralized decision-making is better than decentralized decision-making for system operation. Besides, decentralized decision-making mode led by manufacturer is superior to it led by network platform on the condition that advertisement effect is obvious.

Suggested Citation

  • Wang Yuyan & Yu Zhaoqing, 2018. "Research on Advertising and Pricing in E-Supply Chain Under Different Dominant Modes," Journal of Systems Science and Information, De Gruyter, vol. 6(1), pages 58-68, February.
  • Handle: RePEc:bpj:jossai:v:6:y:2018:i:1:p:58-68:n:4
    DOI: 10.21078/JSSI-2018-058-11
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    References listed on IDEAS

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    1. Aust, Gerhard & Buscher, Udo, 2014. "Cooperative advertising models in supply chain management: A review," European Journal of Operational Research, Elsevier, vol. 234(1), pages 1-14.
    2. Lu, Qihui & Liu, Nan, 2015. "Effects of e-commerce channel entry in a two-echelon supply chain: A comparative analysis of single- and dual-channel distribution systems," International Journal of Production Economics, Elsevier, vol. 165(C), pages 100-111.
    3. Araneda-Fuentes, Cristina & Lustosa, Leonardo Junqueira & Minner, Stefan, 2015. "A contract for coordinating capacity decisions in a business-to-business (B2B) supply chain," International Journal of Production Economics, Elsevier, vol. 165(C), pages 158-171.
    4. Lei Zhao & Jihua Zhang & Jinxing Xie, 2016. "Impact of demand price elasticity on advantages of cooperative advertising in a two-tier supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 54(9), pages 2541-2551, May.
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