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Article ; Online: Factors Influencing Public Trust in Open Government Data

Abdullah Almuqrin / Ibrahim Mutambik / Abdulaziz Alomran / Jeffrey Gauthier / Majed Abusharhah

Sustainability, Vol 14, Iss 15, p

2022  Volume 9765

Abstract: Open government data (OGD) involves exposing government data to the public, guided by the values of clarity, accountability, honesty, and integrity. This study investigates the impact of the perceived quality of data, systems, and services on citizens’ ... ...

Abstract Open government data (OGD) involves exposing government data to the public, guided by the values of clarity, accountability, honesty, and integrity. This study investigates the impact of the perceived quality of data, systems, and services on citizens’ trust in OGD, with the information systems success model as the theoretical framework. A questionnaire was delivered electronically to reach OGD users around the world. A total of 358 complete responses were obtained, representing 63.58% of all responses. Structural equation modeling was used to analyze the hypothesized relationships between constructs based on users’ responses. The findings confirm the impact of data, system, and service quality on citizens’ perceived trust in OGD. Moreover, perceived system and service quality had a positive impact on perceived data quality, and perceived service quality had a positive effect on perceived system quality. These findings indicate that OGD service quality affects data and system quality, making it the most fundamental motivator of citizens’ trust in OGD. This highlights the role of open government platforms in developing public services and providing users with complete and correct data, feedback tools, and data visualization.
Keywords open government data ; trust ; data quality ; system quality ; service quality ; information systems success model ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code 306
Language English
Publishing date 2022-08-01T00:00:00Z
Publisher MDPI AG
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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