| 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 |
| DOI |
|
| 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. |
| Author Keywords |
big data management; smart sustainable city; networked digital technology |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Emerging Sources Citation Index (ESCI) |
| EID |
WOS:000537839800004 |
| WoS Category |
Management |
| Research Area |
Business & Economics |
| PDF |
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