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The growth of e-commerce and omnichannel retailing has led to significant changes in urban logistics deliveries. In addition to the traditional delivery channels, new solutions have been introduced, such as click-and-collect, parcel locker delivery, crowdshipping, and on-site delivery. However, such solutions require seamless connections between different layers of the city logistics system. These connections form, in the Physical Internet terminology, a “hyperconnected city”. In this context, how do consumers make decisions about logistics services, either as prospective users or as suppliers of last mile logistics services? We argue that a thorough understanding of consumers’ decision-making about last mile services is a prerequisite for the effective exploration of future demand for these services and the design of transport policies. While there is abundant literature on new approaches of last mile logistics, a review of research on consumers’ decision-making and participation in such services is absent. This paper aims to provide such a review and, based on this, provides directions for future research. Based on the existing literature, we propose a conceptual framework that categorises decisions and system attributes affecting consumers’ decision-making. Highlights for future research include interaction between consumers’ demand and supply decisions, changes in consumer preferences, the importance of social networks, and the city-level impacts of hyperconnected last mile delivery.
hyperconnectivity, 380, consumer, consumer involvement, Last mile logistics, decision-making, physical internet, omnichannel retailing
hyperconnectivity, 380, consumer, consumer involvement, Last mile logistics, decision-making, physical internet, omnichannel retailing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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