Understanding and assessing crowd logistics business models – using everyday people for last mile delivery

Volker Frehe · Jens Mehmann · Frank Teuteberg

164 citations0/0 files storedJournal of Business and Industrial Marketing

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Urban and Freight Transport Logistics Business Strategies and Innovation Digital Economy and Work Transformation

Abstract

Purpose The purpose of this paper is to evaluate the nature and characteristics of crowd logistics business models. Using this evaluation, a new concept for a sustainable implementation of crowd logistics services is proposed. Design/methodology/approach The Design Science process was followed to develop the proposed crowd logistics business model concept. The data are derived from expert interviews and a document-based data analysis of 13 companies. Findings Four relevant steps that companies should follow to implement sustainable crowd logistics services are identified. Open research questions are also identified and guide five research tasks, which may lead to a greater understanding of this emerging field. Research limitations/implications The present research is based on data from companies operating in Germany. The holistic approach gives a broad overview but lacks detailed descriptions. Practical implications Managers can use the four steps and the crowd logistics business model concept to plan future activities (e.g. new service provision). These steps increase the understanding, awareness and knowledge of opportunities and risks of specific crowd logistics services. Social implications This paper provides initial insights into social changes in terms of drivers for the use of crowd logistics services. However, further research is needed to capture the social implications in detail. Originality/value Crowd logistics is an emerging concept, and this paper is one of the first dealing with this topic generally and the first providing an analysis of crowd logistics business models. The developed concept includes implications for practice in the forms of common, and best practices, and science in the form of open research questions and tasks. Overall, the present research provides new insights into this emerging topic.

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References

2004Design Science in Information Systems Research1 2004Design science in information systems research 2008The SAGE Encyclopedia of Qualitative Research Methods 2002Analyzing the Past to Prepare for the Future: Writing a Literature Review 1987The Case Research Strategy in Studies of Information Systems 1995Design and natural science research on information technology 1975A dynamic model of process and product innovation 1994Analysis and Interpretation of Qualitative Data in Consumer Research

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2017Crowdsourcing the last mile delivery of online orders by exploiting the social networks of retail store customers 2019Framework of Last Mile Logistics Research: A Systematic Review of the Literature 2019Supply, demand, operations, and management of crowd-shipping services: A review and empirical evidence 2020Sustainability assessment of last-mile logistics and distribution strategies: The case of local food networks 2018Stochastic last-mile delivery with crowdshipping

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