Cloud Computing and Big Data Analytics in Smart City Information Systems
This study aims to investigate how the Cloud Computing Infrastructure (CCI), Big Data Analytics Capabilities (BDAC), System Integration (SI), Information Quality (IQ), Organizational Support (OS), and Technological Readiness (TR) affect the effectiveness of Smart City Information System (SCISE) and how the mediating roles of SI and IQ as well as the moderating roles of OS and TR play in affecting SCISE. Data was collected from 500 professionals who are participants in smart city initiatives, and the data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). It is found that SCISE can be significantly improved by both CCI and BDAC via improved SI and IQ. Finally, they further confirm the importance of organizational and technological context and emphasize OS and TR as these relationships. This study provides theoretical contributions and practical insights on how to further digital transformation in smart cities.
Authors
- Omolayo Abegunde
- Stephen John (ORCID: https://orcid.org/0000-0003-2710-8196)
- Ayomide Olugbade
- Anthony Ogechukwu Okolo
- Chizube Obinna Chikezie
- Moses Uyi Osagie
Institutions
- University of Ulster (GB)
- University of Georgia (US)
- Ulster Hospital (GB)
- University of Fairfax (US)
- CE Technologies (United Kingdom) (GB)
- Teesside University (GB)
- Kwara State University (NG)
Publication Details
- Journal
- iRASD Journal of Computer Science and Information Technology
- Published
- 2024-12-22
- DOI
- https://doi.org/10.52131/jcsit.2024.0501.3010
- Primary Topic
- Smart Cities and Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00