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Big Data Management Of Smart Sustainable Cities: Networked Digital Technologies And Automated Algorithmic Decision-Making Processes

Author

Listed:
  • Elvira NICA

    (Bucharest University of Economic Studies, Pia?a Romana, 6, Romania)

  • Vladimir KONECNY

    (University of Zilina, Univerzitna 1, 010 26, Zilina, Slovak Republic)

  • Milos POLIAK

    (University of Zilina, Univerzitna 1, 010 26, Zilina, Slovak Republic)

  • Tomas KLIESTIK

    (University of Zilina, Univerzitna 1, 010 26, Zilina, Slovak Republic)

Abstract

Empirical evidence on big data management of smart sustainable cities has been scarcely documented in the literature. Using and replicating data from Black & Veatch, ESI ThoughtLab, KPMG, McKinsey, Osborne Clarke, Phillips, and SmartCitiesWorld, we performed analyses and made estimates regarding how smart city technologies can make daily commutes faster and less frustrating (%), key actions to accelerate education development in smart cities (%), potential improvement through current generation of smart city applications, from time of implementation (%), the components of a smart city which are most likely to improve citizen well-being (%), actions needed to improve transportation and mobility in smart cities (%), the components of a smart city which are most likely to reduce energy consumption (%), key actions to improve smart cities’ management of energy and resources (%), and the components of a smart city which are most likely to increase economic growth (%). Data were analyzed using structural equation modeling.

Suggested Citation

  • Elvira NICA & Vladimir KONECNY & Milos POLIAK & Tomas KLIESTIK, 2020. "Big Data Management Of Smart Sustainable Cities: Networked Digital Technologies And Automated Algorithmic Decision-Making Processes," Management Research and Practice, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 12(2), pages 48-57, June.
    • Handle: RePEc:rom:mrpase:v:12:y:2020:i:2:p:48-57
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    References listed on IDEAS

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    Cited by:

    1. Ke Wang & Yafei Zhao & Rajan Kumar Gangadhari & Zhixing Li, 2021. "Analyzing the Adoption Challenges of the Internet of Things (IoT) and Artificial Intelligence (AI) for Smart Cities in China," Sustainability, MDPI, vol. 13(19), pages 1-35, October.

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