Issue |
ITM Web Conf.
Volume 46, 2022
International Conference on Engineering and Applied Sciences (ICEAS’22)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 6 | |
Section | Computer Sciences | |
DOI | https://doi.org/10.1051/itmconf/20224602002 | |
Published online | 06 June 2022 |
Big Data Management and Smart City: From Affordance technology perspective view size
Mohammed V University in Rabat, Superior School of Technology, EST Salé, LASTIMI, Morocco
* Corresponding author: dalhi.adnane@gmail.com
Cities are aware today more than ever by the value of new technologies to develop effective and sustainable services for citizens, visitors, and businesses in all areas of the territory, this awareness is based on the inclusion of technology in the socio-economic formula by integrating modern analytical tools to analyze massive urban data to capitalize on valuable insights about key strategic performance indicators for the success of city model. This paper’s main contribution is to explore big data analytics adoption in smart city model using affordance theory and providing an example of the use of technology affordance perspective as one of the concepts that has been adopted in a variety of studies that used to describe and analyze the potential enabled affordances for actions that arise from the relationship between a technological artefact and goal-oriented actors of Big Data Management tools and how adopting a high-level big data smart city driven strategy can unlock new technological and business potentials.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.