How do crowd logistics platforms create value? An exploratory case study from China

Li, Shuang; Wu, Wenbing; Xia, Yuhuan; Zhang, Mingyu; Wang, Shuxiang; Douglas, Matthew A.

doi:10.1080/13675567.2019.1628929

Cited by 34 publications

(25 citation statements)

References 36 publications

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“…Therefore, a study of the crowd cyber system requires systemic analysis of the network connectivity among intelligent agents to assess the value they create (Li et al , 2019a, 2019 b). Measuring both profitability and risk is not straightforward; account needs to be taken of operating costs, customer availability, transaction costs related to transparent information and optimization models.…”

Section: Discussionmentioning

confidence: 99%

“…Our results contribute to the notion of crowd science and engineering and are in line with the recent work on crowd cyber systems (Chai et al , 2017; Liu et al , 2018). This multidisciplinary framework (Li et al , 2019a, 2019 b; Han et al , 2019) is based on several theories that include methods and tools able to capture the emergent concept of crowd cyber systems. Our research on sharing economy logistics and crowd logistics provides some answers to questions posed in the context of crowd cyber systems regarding crowd intelligence in the logistics sector.…”

Section: Introductionmentioning

confidence: 99%

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Bibliometric analysis of sharing economy logistics and crowd logistics

Saglietto

2021

IJCS

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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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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of sharing economy logistics and crowd logistics

Saglietto

2021

IJCS

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“…As for crowd logistics platforms, rigorous driver selection system, secure messaging system, demandsupply matching system, path planning system and secure online payment system are supposed to be integrated to platforms [9], of which informative support can coordinate logistics resource-demand match and influence logistics agility, thus improving logistics performance [5] [10]. It is suggested that platform designers should analyse how a change of task load or task assignments impact drivers' behaviours, in that business model of CL may be intrusive to commuter workers who need to deviate from routine routes for carrying parcels [11].…”

Section: Operational Mechanismmentioning

confidence: 99%

Agricultural Products Crowd Logistics: A Literature Review and Research Agenda

Su¹,

Zhang²,

Li³

2021

Proceedings of the 6th Annual International Conference on Social Science and Contemporary Humanity Development (SSCHD 2020)

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As an innovative business model, agricultural products crowd logistics (APCL) is emerging rapidly. The focus of this paper is to carry out a literature review on APCL grounded in literature of crowd logistics (CL) and agricultural products logistics (APL), and then provides an agenda for future research. The research areas of CL focus on innovative business model, operational mechanism and value creation in urban area or cities, while researchers in the field of APL focus on logistics facility and equipment, operation mode, optimization of path planning, and, finally, logistics assessment. We propose the first conceptual definition of APCL. Potential topics, possible research questions, combined with relating research methods are provided for future research in order to deepen knowledge about APCL phenomenon.

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“…The sharing economy refers to a diverse ensemble of initiatives (Acquier et al , 2019) that connect individuals through platforms to carry out sales, rentals, swaps or donations (Gansky, 2010); create and share goods, services, space and money with each other (Miller, 2016); produce, access and circulate resources (Carbone et al , 2018); and centralize access to idle assets, making them available for use (Botsman and Rogers, 2010). Sharing through a community-based online platform makes a great deal of practical and economic sense for the consumer and promotes sustainable environmental, social and economic development (Belk, 2014; Li et al , 2019).…”

Section: Introductionmentioning

confidence: 99%

“…Narrowing the focus to crowd logistics initiatives, studies have investigated how this specific type of sharing initiative creates value through platforms (resource matching, operations management and risk control) (Li et al , 2019), helps drivers to provide customers with faster and more flexible logistics services (Zhang et al , 2019), enables cost optimization (Frehe et al , 2017) and reduces the transportation carbon footprint. However, the negative impacts of crowd logistics have only been highlighted in a few studies, mentioning the controversial environmental impact (Carbone et al , 2018) or exploring critical social issues concerning in particular precarious working conditions and road safety (Dablanc et al , 2017).…”

Section: Introductionmentioning

confidence: 99%

Last-mile logistics in the sharing economy: sustainability paradoxes

Moncef

Dupuy

2021

IJPDLM

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PurposeThe purpose of this paper is to explore sustainability paradoxes in sharing economy initiatives by focusing on logistics management in last-mile logistics.Design/methodology/approachIn this exploratory study, a total of 10 case studies were conducted in three categories of companies: anti-waste platforms, food delivery platforms and bicycle delivery companies. Twenty-seven face-to-face interviews with founders and/or managers and contractors (couriers, logistics service providers or volunteers) were the primary source of data collection. The heterogeneity of the sample enabled the authors to build an understanding of sustainability paradoxes in the logistics of sharing economy initiatives.FindingsThe findings indicate how logistics management impacts the sustainability of sharing economy initiatives in last-mile delivery. The authors identify seven paradoxical tensions (five of them social) generated by the contradictions between the organizations' promised environmental and social values and the impacts of their operations.Research limitations/implicationsThis exploratory research is based on a qualitative study of 10 cases and 27 interviews from heterogeneous samples; further empirical research is needed to ensure generalization.Practical implicationsThe paper increases the understanding of environmental and social paradoxical tensions and awareness of logistics challenges.Social implicationsThe paper helps identify ways to reconcile promised values and impacts generated by sharing economy initiatives while managing last-mile delivery.Originality/valueThe results enrich the literature about the paradoxes in sharing economy initiatives by providing illustrations in last-mile logistics and exposing the underlying challenges for sharing economy logistics actors.

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How do crowd logistics platforms create value? An exploratory case study from China

Cited by 34 publications

References 36 publications

Bibliometric analysis of sharing economy logistics and crowd logistics

Bibliometric analysis of sharing economy logistics and crowd logistics

Agricultural Products Crowd Logistics: A Literature Review and Research Agenda

Last-mile logistics in the sharing economy: sustainability paradoxes

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