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A Novel Survey-QFD-WASPAS Methodological Approach for Designing Crowd Storage Platforms: A Case Study of Serbia

Author

Listed:
  • Aleksandra Stanković

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Milan Andrejić

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Vukašin Pajić

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Milorad Kilibarda

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

  • Dragan Djurdjević

    (Faculty of Transport and Traffic Engineering, University of Belgrade, Vojvode Stepe 305, 11000 Belgrade, Serbia)

Abstract

The concept of crowd logistics has been present in practice for several decades, while it has gained importance in the literature in recent years. Crowd delivery is a widely accepted concept, while crowd storage is still nowhere near its potential. To the best of the authors’ knowledge, there are no scientific papers dealing with crowd storage in the literature. Crowd storage is one of the categories of crowd logistics services, which involves renting free space on the basis of an agreement, usually between individuals, using specialized online platforms, which are also markets for crowd storage services. Since the concept has not been researched in the literature so far, this paper focuses on several aspects. A unique methodological approach that includes three phases is proposed in this paper. In the first phase, research regarding crowd storage services in the world is carried out. The second phase involves research regarding the crowd storage services in Serbia. The third phase, at the same time the most complex, in the first step defines user requirements and the required resources for the development of crowd storage platforms based on the survey results. In the second step, the weights of the criteria are determined by applying the QFD method. In the third step, the WASPAS method is used for the software solution selection. Furthermore, the results of the research show that crowd storage services in Serbia are still not experiencing expansion. Finally, based on the results of the survey, and by applying the QFD method, user requirements are determined, as well as the resources needed. The crowd storage platform is the alternative with the highest value after the evaluation. Bearing in mind the aforementioned, the justification for the introduction of the specialized online crowd storage platform is confirmed. The concept itself creates numerous positive effects of sustainability: human, social, economic, and environmental.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:10:p:7929-:d:1145277
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    References listed on IDEAS

    as
    1. Ahmad Alharbi & Chantal Cantarelli & Andrew Brint, 2022. "Crowd Models for Last Mile Delivery in an Emerging Economy," Sustainability, MDPI, vol. 14(3), pages 1-20, January.
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