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Riding the wave of fashion rental: The role of power structures and green advertising

Zhang, Lina; Zhang, Yumeng; Chutani, Anshuman

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Lina Zhang

Yumeng Zhang


In recent years, the rise in the collaborative consumption of fashion products has propelled many fashion brands to tap into rental markets and offer rental services. Although many studies have investigated consumer perceptions and attitudes toward fashion rental services, analytical models that help businesses make more informed supply chain decisions are scarce. Consequently, we develop game-theoretical models to study the fashion market with two firms, i.e., a fashion manufacturer and its rental platform partner. The models consider four green-advertising investment situations: no firm invests, only the fashion manufacturer invests, only the rental platform invests, or both firms invest in green advertising for fashion rental services. We compare pricing and green advertising decisions under different power structures between the two firms across the four green-advertising investment situations. Our results demonstrate when and how the power structure affects the key decision variables. We reveal that it is least profitable for both firms if neither contributes to green advertising, while both firms obtain the highest profits when they both invest in green advertising. In the two situations when only one firm invests in green advertising, we note that it is not necessarily unfavorable for firms to accept the green-advertising cost proactively. Specifically, the Stackelberg follower benefits from investing in green advertising. Furthermore, in these two situations, whether or not the Stackelberg leader covers the green-advertising cost is more important than their identity. Our results and analysis reveal important managerial implications that can assist firms in excelling in the fashion rental market.

Journal Article Type Article
Acceptance Date Oct 26, 2022
Online Publication Date Nov 12, 2022
Publication Date 2022-12
Deposit Date Nov 24, 2022
Publicly Available Date Nov 13, 2023
Journal Transportation Research Part E: Logistics and Transportation Review
Print ISSN 1366-5545
Peer Reviewed Peer Reviewed
Volume 168
Article Number 102946
Public URL
Publisher URL


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