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Connections between Big Data and Smart Cities from the Supply Chain Perspective: Understanding the Impact of Big Data

Author

Listed:
  • Alaa Amin Abdalla

    (Military Programs, Al-Ain Campus, Abu Dhabi University, Abu Dhabi 1790, United Arab Emirates)

  • Yousif Abdelbagi Abdalla

    (Department of Accounting, College of Business Administration, University of Sharjah, Sharjah 27272, United Arab Emirates
    Department of Accounting and Financial Management, School of Management Studies, University of Khartoum, Khartoum 11115, Sudan)

  • Akarm M. Haddad

    (Humanities, Arts and Applied Sciences, Amity University Dubai, Dubai 345019, United Arab Emirates)

  • Ganga Bhavani

    (Amity Business School, Amity University Dubai, Dubai 345019, United Arab Emirates)

  • Eman Zabalawi

    (Department of Business, Britts Imperial College, Dubai 345019, United Arab Emirates)

Abstract

This study explores the impact of Big Data and smart city initiatives on supply chain management. The effects of smart cities and SCM integration on sustainable development are also examined. Big Data, smart cities, and supply chain characteristics have all received a significant amount of attention (supply network structure, governance mechanisms). Based on literature reviews, we created a comprehensive model for supply chains, Big Data, and smart cities. The study concluded that smart cities have various consequences for network architecture and governmental systems. Future research directions in supply chain management and smart cities are also addressed in this paper. A comprehensive model was developed that can be used to undertake empirical research on the implications of smart cities and Big Data on supply chain management and sustainable development in the future. Big Data, smart cities, and supply chains have more than merely causal interactions, and Big Data and smart cities will hugely impact sustainable development and SCM operations. Several studies have recently examined the use of information technology in supply chains, but few have specifically addressed smart cities and Big Data, according to literature analyses.

Suggested Citation

  • Alaa Amin Abdalla & Yousif Abdelbagi Abdalla & Akarm M. Haddad & Ganga Bhavani & Eman Zabalawi, 2022. "Connections between Big Data and Smart Cities from the Supply Chain Perspective: Understanding the Impact of Big Data," Sustainability, MDPI, vol. 14(23), pages 1-13, December.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:16161-:d:992448
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    References listed on IDEAS

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    1. John A. Burt, 2014. "The environmental costs of coastal urbanization in the Arabian Gulf," City, Taylor & Francis Journals, vol. 18(6), pages 760-770, December.
    2. Kristoffer Francisco & David Swanson, 2018. "The Supply Chain Has No Clothes: Technology Adoption of Blockchain for Supply Chain Transparency," Logistics, MDPI, vol. 2(1), pages 1-13, January.
    3. Carmen Cantuarias-Villessuzanne & Romain Weigel & Jeffrey Blain, 2021. "Clustering of European Smart Cities to Understand the Cities’ Sustainability Strategies," Post-Print hal-03362185, HAL.
    4. Carmen Cantuarias-Villessuzanne & Romain Weigel & Jeffrey Blain, 2021. "Clustering of European Smart Cities to Understand the Cities’ Sustainability Strategies," Sustainability, MDPI, vol. 13(2), pages 1-20, January.
    5. Jun Shu & Russell Barton, 2012. "Managing Supply Chain Execution: Monitoring Timeliness and Correctness via Individualized Trace Data," Production and Operations Management, Production and Operations Management Society, vol. 21(4), pages 715-729, July.
    6. Alicia García-Holgado & Francisco José García-Peñalvo & Paul Butler, 2020. "Technological Ecosystems in Citizen Science: A Framework to Involve Children and Young People," Sustainability, MDPI, vol. 12(5), pages 1-16, March.
    7. Agnieszka Deja & Tygran Dzhuguryan & Lyudmyla Dzhuguryan & Oleg Konradi & Robert Ulewicz, 2021. "Smart Sustainable City Manufacturing and Logistics: A Framework for City Logistics Node 4.0 Operations," Energies, MDPI, vol. 14(24), pages 1-21, December.
    8. Peter Verhoeven & Florian Sinn & Tino T. Herden, 2018. "Examples from Blockchain Implementations in Logistics and Supply Chain Management: Exploring the Mindful Use of a New Technology," Logistics, MDPI, vol. 2(3), pages 1-19, September.
    9. Kaffash, Sepideh & Nguyen, An Truong & Zhu, Joe, 2021. "Big data algorithms and applications in intelligent transportation system: A review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 231(C).
    10. Letnik, Tomislav & Marksel, Maršenka & Luppino, Giuseppe & Bardi, Andrea & Božičnik, Stane, 2018. "Review of policies and measures for sustainable and energy efficient urban transport," Energy, Elsevier, vol. 163(C), pages 245-257.
    11. Mukesh Kumar & Gary Graham & Patrick Hennelly & Jagjit Srai, 2016. "How will smart city production systems transform supply chain design: a product-level investigation," International Journal of Production Research, Taylor & Francis Journals, vol. 54(23), pages 7181-7192, December.
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