Smart City Gnosys
Smart city article details
| Title | Enterprise Systems For Networked Smart Cities |
|---|---|
| ID_Doc | 24161 |
| Authors | Ahmad N.; Mehmood R. |
| Year | 2020 |
| Published | EAI/Springer Innovations in Communication and Computing |
| DOI | http://dx.doi.org/10.1007/978-3-030-13705-2_1 |
| Abstract | Smart city concept redefines the urban planning and development of the existing and new cities. It drives on economic, social, and environmental sustainability of a city and attracts citizens, professionals, and corporations to build sustainable living. It portrays a city that is operationally optimal and provides a space for innovation. This is achieved through state of the art physical, institutional, and digital infrastructure. This chapter addresses the challenges of the digital aspect of the smart city. Enterprise systems technology is widely used in the organizations and will be utilized in the Smart city systems conceptualization and implementation. Smart city systems definition has been derived by analyzing the smart city requirements. Enterprise systems technology has been explained and the latest ICT trends have been explored to develop the technological foundation of smart city systems. Finally, we introduce partial least square regression, a structural equation modeling method to explore interrelationships between different interdisciplinary constructs and show its application to studying smart city systems. From the digital perspective of smart city, it may be concluded that connectedness leads to integration and integration leads to dynamism and dynamism leads to smartness and cycle continues to realize the best in class smart city. © 2020, Springer Nature Switzerland AG. |
| Author Keywords | Artificial Intelligence; Big Data; Cloud Computing; Enterprise Systems; High-Performance Computing; Internet of Things; Partial Least Square Regression; PLS SEM; Smart City; Smart City Systems; Smart City Technological Foundations |
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