International Journal of Crowd Science 2021, 5(1): 31-54 https://doi.org/10.1108/IJCS-07-2020-0014

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Bibliometric analysis of sharing economy logistics and crowd logistics

Show Author's Information Hide Author's Information Laurence Saglietto(

)

Université Côte d’Azur, GREDEG CNRS, France

Keywords:

Crowd intelligence, Bibliometric analysis, Crowd logistics, Crowd cyber system, Sharing economy logistics

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Saglietto L. Bibliometric analysis of sharing economy logistics and crowd logistics. International Journal of Crowd Science, 2021, 5(1): 31-54. https://doi.org/10.1108/IJCS-07-2020-0014

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Abstract Full text About this article

Abstract

Purpose

This study aims to review the literature on sharing economy logistics and crowd logistics to answer the three following questions: How is the literature on sharing economy logistics structured? What are the main trends in sharing economy logistics and crowd logistics? What are the future research options?

Design/methodology/approach

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

Findings

The sharing economy logistics and crowd logistics literature is structured around several disciplines and highlights that some are more scientifically advanced than others in their subject definitions, designs, modelling and innovative solutions. The main trends are organized around three clusters: Cluster 1 refers to the optimal allocation of costs, prices, distribution and supplier relationships; Cluster 2 corresponds to business related crowdsourcing and international industry practices; and Cluster 3 includes the impact of transport on last-mile delivery, crowd shipping and the environment.

Research limitations/implications

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Originality/value

Future research directions are discussed in the context of the evolution from crowd logistics to crowd intelligence, and the complexities of crowd logistics such as understanding how the social crowd can be integrated into the logistics process. Our results are part of the crowd science and engineering concept and provide some answers about crowd cyber-system questions regarding crowd intelligence in logistic sector.

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Abstract

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About this article

Bibliometric analysis of sharing economy logistics and crowd logistics

Show Author's information Hide Author's Information Laurence Saglietto(

)

Université Côte d’Azur, GREDEG CNRS, France

Abstract

Purpose

Design/methodology/approach

Bibliometric analysis is used to evaluate 85 articles published over the past 12 years; it identifies the top academic journals, authors and research topics contributing to the field.

Findings

Research limitations/implications

The study is based on data from peer-reviewed scientific journals and conferences. A broader overview could include other data sources such as books, book chapters, working papers, etc.

Originality/value

Keywords: Crowd intelligence, Bibliometric analysis, Crowd logistics, Crowd cyber system, Sharing economy logistics

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Publication history

Received: 28 July 2020

Revised: 27 September 2020

Accepted: 14 October 2020

Published: 22 March 2021

Issue date: April 2021

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Laurence Saglietto. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode