Multi-period price competition of blockchain-technology-supported and traditional platforms under network effect

Ting Zhang, Peimiao Li, Ningning Wang*

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

38 Citations (Scopus)

Abstract

We build a multi-period pricing model between a blockchain-technology-supported platform and a traditional platform, where the blockchain-technology-supported platform provides a higher value for customers. Customers are influenced by network effect, that is, they value a platform more if the platform has more users. As either platform can adopt static pricing or dynamic pricing, four scenarios may occur. By deriving the equilibrium of each scenario, we reveal the 'Matthew effect' caused by network effect, that platform advantage (from adopting blockchain technology) or disadvantage (from not adopting blockchain technology) accumulates as time goes by. Thus, platforms are advised to adopt the blockchain technology antecedent to the competitors. Network effect, which amplifies the benefit of initial users, may intensify price competition and harm both platforms. By comparing the four scenarios, we derive the equilibrium pricing strategies: when network effect is weak, one platform adopts static pricing and the other adopts dynamic pricing; when network effect is medium, the blockchain-technology-supported platform adopts static pricing and the traditional platform adopts dynamic pricing; and when network effect is strong, both platforms adopt dynamic pricing. Dynamic pricing is more desirable for the traditional platform relative to the blockchain-technology-supported platform.
Original languageEnglish
Pages (from-to)3829-3843
JournalInternational Journal of Production Research
Volume91
Issue number11
DOIs
Publication statusPublished - 12 Mar 2021

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