Assessing the Success of Village Asset Management Systems: An Employee Perspective

Q3 Business, Management and Accounting Electronic Journal of Knowledge Management Pub Date : 2023-11-20 DOI:10.34190/ejkm.21.3.3101
Julita Nur Amanda, Wahyu Agus Winarno, A. Agustini
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Abstract

This study aims to examine the success of Village Asset Management Systems (VAMS). The measurement uses the Delone McLean success model (D&M model), which provides six interrelated dimensions of information system success: system quality, information quality, service quality, intention to use, user satisfaction, and net benefits. 112 respondents who had used the VAMS application were surveyed, and data was analyzed using the structural equation modeling (SEM) technique. We find that information quality, system quality, and service quality are significant determinants to increase the VAMS application's user satisfaction. The intention to use positively impacts user satisfaction of the VAMS application. Furthermore, both intention to use and user satisfaction effectively increase the net benefits of the VAMS application. On the other hand, although system quality has no impact on the intention to use VAMS applications, interestingly, when we did a split sample test based on the knowledge transfer method in the VAMS implementation process, all dimensions on the D&M model were well-proven and validated. Finally, this study also demonstrates that information quality and service quality positively affect intentions to use the VAMS application in the context of a mandatory government information system.
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评估乡村资产管理系统的成功:员工视角
本研究旨在探讨乡村资产管理系统(VAMS)的成功与否。该模型提供了信息系统成功的六个相互关联的维度:系统质量、信息质量、服务质量、使用意愿、用户满意度和净收益。我们对 112 名使用过 VAMS 应用程序的受访者进行了调查,并使用结构方程建模(SEM)技术对数据进行了分析。我们发现,信息质量、系统质量和服务质量是提高 VAMS 应用程序用户满意度的重要决定因素。使用意向对 VAMS 应用程序的用户满意度有积极影响。此外,使用意愿和用户满意度都能有效提高 VAMS 应用程序的净收益。另一方面,虽然系统质量对 VAMS 应用程序的使用意向没有影响,但有趣的是,当我们在 VAMS 实施过程中根据知识转移方法进行分样本测试时,D&M 模型的所有维度都得到了很好的证明和验证。最后,本研究还表明,信息质量和服务质量会对强制性政府信息系统中的 VAMS 应用程序的使用意向产生积极影响。
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来源期刊
Electronic Journal of Knowledge Management
Electronic Journal of Knowledge Management Business, Management and Accounting-Management of Technology and Innovation
CiteScore
3.00
自引率
0.00%
发文量
9
审稿时长
20 weeks
期刊最新文献
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