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The platform business model selection of online ride-hailing giants based on the aggregation model
by
Li, Jinhong
, Zhu, Xueyu
, Guo, Min
in
639/166
/ 639/705
/ Business models
/ Compliance
/ Heterogeneity
/ Humanities and Social Sciences
/ Market shares
/ multidisciplinary
/ Pure aggregation business model
/ Pure self-management model
/ Quality of service
/ Ride sharing services
/ Science
/ Science (multidisciplinary)
/ Self-support + aggregation business model
/ Service preference
/ Sharing economy
2024
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The platform business model selection of online ride-hailing giants based on the aggregation model
by
Li, Jinhong
, Zhu, Xueyu
, Guo, Min
in
639/166
/ 639/705
/ Business models
/ Compliance
/ Heterogeneity
/ Humanities and Social Sciences
/ Market shares
/ multidisciplinary
/ Pure aggregation business model
/ Pure self-management model
/ Quality of service
/ Ride sharing services
/ Science
/ Science (multidisciplinary)
/ Self-support + aggregation business model
/ Service preference
/ Sharing economy
2024
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Do you wish to request the book?
The platform business model selection of online ride-hailing giants based on the aggregation model
by
Li, Jinhong
, Zhu, Xueyu
, Guo, Min
in
639/166
/ 639/705
/ Business models
/ Compliance
/ Heterogeneity
/ Humanities and Social Sciences
/ Market shares
/ multidisciplinary
/ Pure aggregation business model
/ Pure self-management model
/ Quality of service
/ Ride sharing services
/ Science
/ Science (multidisciplinary)
/ Self-support + aggregation business model
/ Service preference
/ Sharing economy
2024
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The platform business model selection of online ride-hailing giants based on the aggregation model
Journal Article
The platform business model selection of online ride-hailing giants based on the aggregation model
2024
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Overview
Pure self-management model, pure aggregation business model and Self-support + aggregation model are three commonly used business modes on ride-hailing platforms. We use an analytical model to study these three business models and give the optimal business model decision of the platform. The research shows that the heterogeneity ratio of drivers, the cost of the platform under the Self-support model, the franchise fee received by the platform under the aggregation model and the dissatisfaction of the original users on the platform play a key role in the selection of the platform’s business model. When the difference between the franchise fee under the aggregation mode and the platform cost under the Self-support mode fails to generate positive feedback on the platform profit, the platform should choose the pure Self-support mode. When riders are more sensitive to the heterogeneity of service quality of the platform and user stickiness can be ensured, the platform should choose the pure aggregation business model. When user stickiness can be guaranteed and the cost of the platform under the self-run model is controllable, the platform should choose the Self-support + aggregation business model.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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