| Title | Big Data Management Of Smart Sustainable Cities: Networked Digital Technologies And Automated Algorithmic Decision-Making Processes |
|---|---|
| ID_Doc | 42799 |
| Authors | Nica, E; Konecny, V; Poliak, M; Kliestik, T |
| Title | Big Data Management Of Smart Sustainable Cities: Networked Digital Technologies And Automated Algorithmic Decision-Making Processes |
| Year | 2020 |
| Published | Management Research And Practice, 12, 2 |
| 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. |
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