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Optimal information disclosure strategies for a retail platform in the blockchain technology era

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  • Qingyun Xu
  • Yi He

Abstract

This paper considers a retail platform selling a product to consumers and voluntarily discloses product quality information by using blockchain technology (BCT). Consumers decide whether to deliberate before making purchase decisions. We develop an analytical model to explore the effects of information disclosure strategies on the retail platform’s pricing and consumers’ deliberation decisions. Some interesting results are obtained. First, regardless of the information disclosure strategy, consumers’ deliberation and purchasing decisions depend on the deliberation cost and product price. Consumers will only deliberate if the price is at the medium level and the deliberation cost is not too high. Second, when the disclosure cost is high, the retail platform either stimulates or prevents consumer deliberation; however, when the disclosure cost is at a medium interval, the retail platform’s pricing decision depends on its information disclosure strategy. Specifically, when disclosing quality information, the retail platform will implement the stimulated deliberation (SD) or prevented deliberation (PD) strategy and will never adopt the sold at a low price (SL) strategy; however, when quality information is withheld, the retail platform will only adopt the PD strategy. Third, we identify the conditions under which the retail platform should disclose quality information when facing different disclosure costs.

Suggested Citation

  • Qingyun Xu & Yi He, 2023. "Optimal information disclosure strategies for a retail platform in the blockchain technology era," International Journal of Production Research, Taylor & Francis Journals, vol. 61(11), pages 3781-3792, June.
  • Handle: RePEc:taf:tprsxx:v:61:y:2023:i:11:p:3781-3792
    DOI: 10.1080/00207543.2021.1976434
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    Cited by:

    1. Li, Zhiwen & Xu, Xianhao & Bai, Qingguo & Chen, Cheng & Wang, Hongwei & Xia, Peng, 2023. "Implications of information sharing on blockchain adoption in reducing carbon emissions: A mean–variance analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 178(C).

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