Explicating Trust-building Factors Impacting the Use of e-government Services

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2023-12-18 DOI:10.1177/08944393231220757
Suha AlAwadhi, Husain Alansari, Ahmad R. Alsaber
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Abstract

This study investigates the users’ perception of trust-building factors influencing the use of e-government services and information, by integrating constructs identified in the technology acceptance model (TAM) with information systems (IS) success and trust models. Data was collected using a questionnaire targeted towards users of e-government services in Kuwait. The partial least squares structural equation modeling method was used to analyze 717 valid questionnaire responses. The results indicate that information quality and design (IQD) and perceived ease of use (PEU) influence individuals’ trust in e-government (TEG), thereby affecting their behavioral intentions (BI). Furthermore, the results indicate an average level of the users’ satisfaction and significant differences in how gender and nationality are associated with the overall satisfaction of e-government services users. The proposed framework contributes to extending models by integrating IQD (a modified construct of the IS model) and PEU (a construct of the TAM) as trust-related factors that provide better insights into the driving forces of BI and should be considered when designing and developing e-government services. Additionally, the study provides a deeper understanding of the challenges that could hinder the use of e-government systems.
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阐释影响电子政务服务使用的信任建设因素
本研究通过将技术接受模型(TAM)中确定的构造与信息系统(IS)成功和信任模型相结合,调查了用户对影响电子政务服务和信息使用的信任建立因素的看法。数据是通过针对科威特电子政务服务用户的调查问卷收集的。采用偏最小二乘法结构方程模型法对 717 份有效问卷进行了分析。结果表明,信息质量和设计(IQD)以及感知易用性(PEU)会影响个人对电子政务的信任(TEG),从而影响其行为意向(BI)。此外,研究结果表明,用户的满意度处于平均水平,性别和国籍与电子政务服务用户的总体满意度存在显著差异。所提出的框架通过整合 IQD(IS 模型的一个修正构造)和 PEU(TAM 的一个构造)作为与信任相关的因素,为扩展模型做出了贡献,这些因素为 BI 的驱动力提供了更好的见解,在设计和开发电子政务服务时应加以考虑。此外,本研究还有助于深入了解可能阻碍电子政务系统使用的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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