Unfolding the relationship between data privacy and security, users’ trust and satisfaction in smart cities using the IS model

Purpose Worldwide, smart cities provide promising solutions for urban residents to achieve sustainability while fostering economic growth and societal wellbeing. The effectiveness of these initiatives relies on user trust, which is contingent upon how authorities uphold data privacy and security (hereinafter referred to as DPS). User trust subsequently contributes to overall user satisfaction. The purpose of this paper is to explore the relationship between system quality, information quality, DPS, users’ trust, and satisfaction within the context of Jammu Smart City in India by using Information System Success Model (IS). Design/methodology/approach This study used a survey method, collecting quantitative responses from 330 users across 11 smart city services. Confirmatory factor analysis (CFA) and Process Macro were used to assess reliability, validity and hypothesis testing. Findings The empirical results show a positive relationship between system quality and information quality with DPS, users’ trust and users’ satisfaction. Moreover, DPS performs a mediating role between system quality and users’ trust. Users’ trust is also found to be a mediator between information quality and users’ satisfaction. Originality/value Scholars have neglected the DPS of the service users in the context of smart cities. Hence, to the best of the authors’ knowledge, this study is a unique study covering not only DPS but also users’ trust and satisfaction across the IS model.

Authors

Institutions

Publication Details

Journal
Transforming Government People Process and Policy
Published
2025-08-19
DOI
https://doi.org/10.1108/tg-06-2025-0190
Citations
1
Primary Topic
Privacy, Security, and Data Protection
Type
article
Field-Weighted Citation Impact
4.20
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unfolding the relationship between data privacy and security, users’ trust and satisfaction in smart cities using the IS model

Santap Sanhari Mishra, Charu Sharma, Shivali Choudhary
1 citations
Transforming Government People Process and Policy
Privacy, Security, and Data Protection
4.20
article

Unfolding the relationship between data privacy and security, users’ trust and satisfaction in smart cities using the IS model

Santap Sanhari Mishra, Charu Sharma, Shivali Choudhary
article en
1 citations

Abstract

Purpose Worldwide, smart cities provide promising solutions for urban residents to achieve sustainability while fostering economic growth and societal wellbeing. The effectiveness of these initiatives relies on user trust, which is contingent upon how authorities uphold data privacy and security (hereinafter referred to as DPS). User trust subsequently contributes to overall user satisfaction. The purpose of this paper is to explore the relationship between system quality, information quality, DPS, users’ trust, and satisfaction within the context of Jammu Smart City in India by using Information System Success Model (IS). Design/methodology/approach This study used a survey method, collecting quantitative responses from 330 users across 11 smart city services. Confirmatory factor analysis (CFA) and Process Macro were used to assess reliability, validity and hypothesis testing. Findings The empirical results show a positive relationship between system quality and information quality with DPS, users’ trust and users’ satisfaction. Moreover, DPS performs a mediating role between system quality and users’ trust. Users’ trust is also found to be a mediator between information quality and users’ satisfaction. Originality/value Scholars have neglected the DPS of the service users in the context of smart cities. Hence, to the best of the authors’ knowledge, this study is a unique study covering not only DPS but also users’ trust and satisfaction across the IS model.

Transforming Government People Process and PolicyVol. 19(4)
Central University of Jammu (IN)
Openalex Percentile: Top 6%
Privacy, Security, and Data Protection
4.20
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.