2021
DOI: 10.1007/s10796-021-10189-7
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The Impact of Revenue Models on Anti-Counterfeiting Measures for Online Intermediaries

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Cited by 6 publications
(3 citation statements)
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“…It is found that the manufacturer becomes worse off if strategic consumers purchase immediately, and the counterfeiter is worse off when customers wait to purchase in the second period. In e-commerce sites, Zhang et al (2021) examined the efforts to combat counterfeit goods using various revenue models the intermediaries. They used two types of revenue models: advertising and brokerage.…”
Section: Literature Reviewmentioning
confidence: 99%
“…It is found that the manufacturer becomes worse off if strategic consumers purchase immediately, and the counterfeiter is worse off when customers wait to purchase in the second period. In e-commerce sites, Zhang et al (2021) examined the efforts to combat counterfeit goods using various revenue models the intermediaries. They used two types of revenue models: advertising and brokerage.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Evidently, CLV and SLV are highly dependent on the platform’s revenue model(s) which are often more varied than in the traditional pipeline world. Revenues can be generated, for example, in the form of—or often also a combination of—transaction fees, subscription fees for consumers, access fees for suppliers, transaction fees and commissions, advertising by external parties, on-platform advertising by suppliers, or cross-sales of own products or services (Liu et al, 2022; Zhang et al, 2021).…”
Section: Consumer and Supplier Lifetime Valuementioning
confidence: 99%
“…Many scholars have focused on the impact of fakes on supply chains and how companies design anti-counterfeiting strategies, especially in terms of pricing [6,7], quality [8,9], anti-counterfeiting investment [10,11], channel structure [12,13], blockchain applications [14][15][16], etc. However, few scholars have discussed which companies, retailers or manufacturers are better suited to invest in anti-counterfeiting efforts based on the framework of game theory.…”
Section: Introductionmentioning
confidence: 99%