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.

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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
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article

Cloud Computing and Big Data Analytics in Smart City Information Systems

Omolayo Abegunde, Stephen John, Ayomide Olugbade, Anthony Ogechukwu Okolo et al.
iRASD Journal of Computer Science and Information Technology
Smart Cities and Technologies
article

Cloud Computing and Big Data Analytics in Smart City Information Systems

Omolayo Abegunde, Stephen John, Ayomide Olugbade, Anthony Ogechukwu Okolo, Chizube Obinna Chikezie, Moses Uyi Osagie
article en

Abstract

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.

iRASD Journal of Computer Science and Information TechnologyVol. 5(1)
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)
Openalex Percentile: Top 55%
Smart Cities and Technologies
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Cloud Computing and Big Data Analytics in Smart City Information Systems — Omolayo Abegunde, Stephen John, et al. · iRASD Journal of Computer Science and Information Technology (2024) | TGRS Research Map | TGRS