BIG DATA MANAGEMENT OF SMART SUSTAINABLE CITIES: NETWORKED DIGITAL TECHNOLOGIES AND AUTOMATED ALGORITHMIC DECISION-MAKING PROCESSES

Elvira Nica (), Vladimir Konecny (), Milos Poliak () and Tomas Kliestik
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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

Management Research and Practice, 2020, vol. 12, issue 2, 48-57

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.

Keywords: big data management; smart sustainable city; networked digital technology. (search for similar items in EconPapers)
Date: 2020
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