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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Transportation Resea...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Transportation Research Part A Policy and Practice
Article . 2019 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Understanding the fragmented demand for transportation – Small traditional retailers in emerging markets

Authors: Youssef Boulaksil; Jan C. Fransoo; Edgar E. Blanco; Sallem Koubida;

Understanding the fragmented demand for transportation – Small traditional retailers in emerging markets

Abstract

Abstract The demand for goods transportation in emerging markets is fragmented, mainly due to the unstructured and informal ordering behavior of the many small, traditional retailers in these markets. In this paper, we study such small traditional retailers located in the neighborhoods of big cities in emerging markets. We call them nanostores. Although modern retailing has grown in the last two decades in these markets, the number of nanostores is still increasing and serving a substantial part of the daily demand for many basic products, such as bread, milk, and cooking oil. We thus conduct an empirical study to understand the business environment of these nanostores in emerging markets by collecting data from 333 nanostores, spread over eight large cities in Morocco. We analyze the data, conduct a cluster analysis, and describe their business environment with a focus on their order behavior, which typically triggers the transportation decisions upstream in the supply chain. We find that the order information from these retailers may not be the best information to rely on when making transportation decisions. Our study also provides several interesting insights that may help organize transportation toward these nanostores in a fundamentally different way. We also discuss a number of opportunities to improve the efficiency of the supply chains that serve them.

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    16
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Average
Top 10%