Assessing Economic and Environmental Impacts of Mobile Crowdsourcing for Last Mile Delivery in South Africa’s E-Grocery Sector: A Simulation-Based Approach

Aaron Luntala Nsakanda (), Marcia Mkansi (), Anthea Amadi-Echendu () and Masilela Phumlani ()
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Aaron Luntala Nsakanda: Carleton University
Marcia Mkansi: University of South Africa
Anthea Amadi-Echendu: University of South Africa
Masilela Phumlani: University of South Africa

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 375-381 from Springer

Abstract: Abstract This paper assesses the economic and environmental impacts of a mobile crowdsourcing model for last-mile delivery in South Africa’s e-grocery sector. Unlike traditional models that introduce additional vehicles, this approach leverages existing commuter traffic. A simulation-based methodology is used to quantify its effects, applied to a case study of a major South African distributor. Findings highlight the model’s potential to reduce distance travelled, lower CO2 emissions, lower costs, and support sustainable logistics in urban, rural, and township areas, The study provides insights into how mobile crowdsourcing can transform last-mile delivery in developing regions, while balancing economic viability and environmental responsibility.

Keywords: Crowdsourcing-based logistics; Last-mile delivery; Monte Carlo simulation; e-Grocery; Green innovation (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23282-3_45

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DOI: 10.1007/978-3-032-23282-3_45

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