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Article . 2024
License: CC BY NC ND
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY NC ND
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY NC ND
Data sources: Datacite
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Research on Last-Mile Crowdshipping: Identification of Barriers and Enablers Impacting Wilingness-To-Work as a crowdshipper Across Diverse Groups and Countries

Authors: Bajec, Patricija; Pivtorak, Halyna; Švadlenka, Libor;

Research on Last-Mile Crowdshipping: Identification of Barriers and Enablers Impacting Wilingness-To-Work as a crowdshipper Across Diverse Groups and Countries

Abstract

Last-mile crowdshipping or crowdsourcing refers to using a crowd of individuals to perform the last-mile distribution. This delivery model has gained attention due to its many advantages. However, it also poses some challenges, and one of the greatest is providing a critical mass of crowdshippers (deliverers). This research focuses on last-mile crowdshippers, examining the impact of previously unexplored barriers on their Willingness-To-Work (WTW). Drawing from a comprehensive review of the literature on crowdshipper preferences and practical implementation challenges of crowdshipping, an extensive list of barriers was compiled. Then, the significance of these barriers on the WTW of two key crowdshipper groups (employees and students) was analysed through surveys conducted in the Czech Republic, Slovenia, and Ukraine and the fuzzy ranking method was applied. This method was also used to assess the influence of respondents’ sociodemographic characteristics on their perception of the importance of individual barriers on WTW as a crowdshipper. The research aims to identify significant barriers hindering the likelihood of individuals becoming last-mile crowdshippers in each country and assess potential differences or similarities among these factors across the selected countries and countries included in past research. These insights are beneficial for individual package providers and contribute to developing efficient crowdshipper targeting, retention business models, and management strategies.

The dataset related to this publication is available in the ZENODO repository under the persistent identifier DOI: 10.5281/zenodo.15005970

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citations
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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