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Impact of pricing leadership on blockchain data acquisition efforts in a circular supply chain

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  • Junbin Wang
  • Yangyan Shi
  • Changping Zhao
  • V. G. Venkatesh
  • Weiwei Chen

Abstract

Motivated by the industrial observation of the increasing application of blockchain in the supply chain and its improvement in terms of consumer demand, this study examines the impact of investment decisions of blockchain data acquisition nodes upstream and downstream of the supply chain on firms’ product recycling and pricing, market demand, and profits. The influences of different pricing leadership (i.e. supplier-led vs. retailer-led) in a supply chain are also thoroughly investigated. First, the presence of a strong retailer dramatically reduces suppliers’ incentive to invest in blockchain. However, the supplier is still likely to invest more in a retailer-led supply chain than that in a supply chain led by itself under certain conditions; that is, the cost of blockchain is relatively small, or consumers’ sensitivity to blockchain or product recycling benefits is rather large. Second, the total number of blockchain data acquisition nodes, market demand, and supply chain profit in a retailer-led supply chain are higher than in a supplier-led supply chain. Finally, interestingly, the supplier will be better off in a retailer-led supply chain when the return effect of product recycling is relatively high, while the cost-effectiveness of blockchain investment is relatively low.

Suggested Citation

  • Junbin Wang & Yangyan Shi & Changping Zhao & V. G. Venkatesh & Weiwei Chen, 2023. "Impact of pricing leadership on blockchain data acquisition efforts in a circular supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 61(21), pages 7248-7262, November.
    • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:21:p:7248-7262
    DOI: 10.1080/00207543.2022.2147237
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    Cited by:

    1. Yang, Zaoli & Shang, Wen-Long & Miao, Lin & Gupta, Shivam & Wang, Zhengli, 2024. "Pricing decisions of online and offline dual-channel supply chains considering data resource mining," Omega, Elsevier, vol. 126(C).

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