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Exploring the Risks of Green Crowdsourcing in South Africa: The Case of Dilivari

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  • John Michael Maxel Okoche

    (Department of Operations Management, University of South Africa, Pretoria 0002, South Africa)

  • Anthea Amadi-Echendu

    (Department of Operations Management, University of South Africa, Pretoria 0002, South Africa)

  • Marcia Mkansi

    (Department of Operations Management, University of South Africa, Pretoria 0002, South Africa)

  • Wellington Chakuzira

    (Department of Operations Management, University of South Africa, Pretoria 0002, South Africa)

  • Phumlani Masilela

    (Department of Operations Management, University of South Africa, Pretoria 0002, South Africa)

Abstract

Green crowdsourcing mobile applications provide an appropriate supply chain coordination mechanism for deliveries, harnessing benefits for people, profits and the environment. Despite the benefits, the risks and challenges associated with green crowdsourcing undermine the social, economic and sustainability benefits of last mile logistics. We undertook an exploration of the risks of using the green crowdsourcing Dilivari mobile application (App) innovation in South Africa. The study used an exploratory research case study research design. The study included 54 respondents with rich, in-depth knowledge, 49 participants for focus group discussions (FGDs) and five key informant interviews. Our study established security, legal, human and connectivity risks associated with this app. We focused on the risks and challenges in the literature including critical emergent risks in a developing country context, compatibility of technology, load shedding, mobile penetration, and data costs. Furthermore, we highlighted the security risks posed by theft, robberies and terrorism.

Suggested Citation

  • John Michael Maxel Okoche & Anthea Amadi-Echendu & Marcia Mkansi & Wellington Chakuzira & Phumlani Masilela, 2024. "Exploring the Risks of Green Crowdsourcing in South Africa: The Case of Dilivari," Sustainability, MDPI, vol. 16(22), pages 1-28, November.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:22:p:9699-:d:1515955
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    References listed on IDEAS

    as
    1. Geoff Walsham, 1995. "The Emergence of Interpretivism in IS Research," Information Systems Research, INFORMS, vol. 6(4), pages 376-394, December.
    2. Wenyi Chen & Martijn Mes & Marco Schutten, 2018. "Multi-hop driver-parcel matching problem with time windows," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 517-553, September.
    3. John Mingers, 2001. "Combining IS Research Methods: Towards a Pluralist Methodology," Information Systems Research, INFORMS, vol. 12(3), pages 240-259, September.
    4. Berthon, Pierre R. & Pitt, Leyland F. & McCarthy, Ian & Kates, Steven M., 2007. "When customers get clever: Managerial approaches to dealing with creative consumers," Business Horizons, Elsevier, vol. 50(1), pages 39-47.
    5. Archetti, Claudia & Savelsbergh, Martin & Speranza, M. Grazia, 2016. "The Vehicle Routing Problem with Occasional Drivers," European Journal of Operational Research, Elsevier, vol. 254(2), pages 472-480.
    6. Yanwei Li & Araz Taeihagh & Martin De Jong, 2018. "The Governance of Risks in Ridesharing: A Revelatory Case from Singapore," Energies, MDPI, vol. 11(5), pages 1-21, May.
    7. Lijuan Huang & Guojie Xie & John Blenkinsopp & Raoyi Huang & Hou Bin, 2020. "Crowdsourcing for Sustainable Urban Logistics: Exploring the Factors Influencing Crowd Workers’ Participative Behavior," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    Full references (including those not matched with items on IDEAS)

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