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Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach

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  • Jagienka Rześny-Cieplińska

    (Department of Finance and Management, WSB University in Gdansk, 80-266 Gdansk, Poland)

  • Agnieszka Szmelter-Jarosz

    (Faculty of Economics, University of Gdansk, 81-824 Sopot, Poland)

Abstract

This article presents the assessment results for crowd logistics (CL) solutions from the perspective of the needs of different stakeholders. The uniqueness of this study lies in entering these needs in the implementation of the three spheres of sustainable development in cities (social, economic, and environmental). The purpose of this publication is to present the benchmark solutions for the CL area, helping to adjust the business model and market offer of other providers to the needs of different groups of stakeholders. The reason for such valuation is the fast-paced sharing economy development in the city logistics area, as well as in the courier activity. For this study, the AHP (analytic hierarchy process) method was applied in order to develop the proposed evaluation tool of the CL initiatives. The evaluation criteria (the needs of particular groups of respondents) are derived from document-based data analysis and the primary data for the model are derived from information provided by service providers. The list of the best solutions is made for indicating benchmark brands on the market. The recommendations for managers were drawn on how to adjust solutions to the stakeholders’ needs.

Suggested Citation

  • Jagienka Rześny-Cieplińska & Agnieszka Szmelter-Jarosz, 2019. "Assessment of the Crowd Logistics Solutions—The Stakeholders’ Analysis Approach," Sustainability, MDPI, vol. 11(19), pages 1-26, September.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:19:p:5361-:d:271585
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    7. Andrii Galkin & Tibor Schlosser & Ivan Cardenas & Dominika Hodakova & Silvia Capayova, 2021. "Freight Demand and Supply Assessment for Implementation of Crowdsourcing Technology: A Case Study in Bratislava, Slovakia," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    8. Marco Bortolini & Francesca Calabrese & Francesco Gabriele Galizia, 2022. "Crowd Logistics: A Survey of Successful Applications and Implementation Potential in Northern Italy," Sustainability, MDPI, vol. 14(24), pages 1-17, December.
    9. Qingfu Li & Zhipeng Wang & Linfang Lu & Qiang Ma, 2021. "Construction Risk Evaluation of Poor Geological Channels Based on Cloud Model-Improved AHP–Matter–Element Theory," Sustainability, MDPI, vol. 13(17), pages 1-22, August.
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    11. Aleksandra Stanković & Milan Andrejić & Vukašin Pajić & Milorad Kilibarda & Dragan Djurdjević, 2023. "A Novel Survey-QFD-WASPAS Methodological Approach for Designing Crowd Storage Platforms: A Case Study of Serbia," Sustainability, MDPI, vol. 15(10), pages 1-32, May.
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