Re-examination and expanding the EUCS Model on Cloud-based ERP system

IF 0.3 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Journal of Information and Organizational Sciences Pub Date : 2021-06-15 DOI:10.31341/jios.45.1.7
Weli Weli
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引用次数: 4

Abstract

The end-user computing satisfaction model (EUCS) has been widely used in previous studies, and Enterprise Resource Planning. Therefore, Enterprise Resource Planning (ERP) System, need to be developed in accordance with cloud computing that dominate current information technology devices. This study was carried out to test the expansion of the EUCS model in a cloud-based ERP system. Therefore, the purpose of this research is to re-examine the validity and reliability of the computer application satisfaction model and its relationship with user performance in cloud-based ERP system. The overall satisfaction variable is added as a mediation between the satisfaction model and user performance. Data was collected through snowball sampling with a questionnaire distributed to the cloud-based ERP users. Additionally, data processing was conducted using the Second-order concept in structural equation modeling with the Partial Least Square approach. Since data processing using WarpPLS confirmed the validity and reliability of the model and all relationships between variables, this research contributes theoretically to the study of end-user satisfaction from information technology applications. Its final section describes the limitations and opportunities for future research.
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基于云ERP系统的EUCS模型的再检验与扩展
最终用户计算满意度模型(EUCS)在以前的研究和企业资源规划中得到了广泛的应用。因此,企业资源规划(ERP)系统,需要根据目前主导信息技术设备的云计算进行开发。本研究旨在测试EUCS模型在基于云的ERP系统中的扩展。因此,本研究的目的是重新审视基于云的ERP系统中计算机应用程序满意度模型的有效性和可靠性及其与用户绩效的关系。添加总体满意度变量作为满意度模型和用户性能之间的中介。数据是通过滚雪球抽样收集的,问卷分发给基于云的ERP用户。此外,在偏最小二乘法的结构方程建模中,使用二阶概念进行了数据处理。由于使用WarpPLS的数据处理证实了模型的有效性和可靠性以及变量之间的所有关系,因此本研究在理论上有助于研究信息技术应用中的最终用户满意度。最后一节介绍了未来研究的局限性和机遇。
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来源期刊
Journal of Information and Organizational Sciences
Journal of Information and Organizational Sciences COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
1.10
自引率
0.00%
发文量
14
审稿时长
12 weeks
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