Factors Influencing the Adoption of Cloud-based Village Information System: A Technology-Organization-Environment Framework and AHP–TOPSIS Integrated Model

Q3 Mathematics
Theresiawati Theresiawati, Tjahjanto Tjahjanto, Yuni Widiastiwi, Hamonangan Kinantan Prabu, Bambang Tri Wahyono, Wan Nor Shuhadah Wan Nik
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Abstract

Cloud-based service is a key area for growth in Indonesia, but there are still very few villages that have adopted a village information system based on cloud computing. This study investigates the factors influencing OpenSID adoption in cloud computing. The research was informed by the Technological Organizational Environmental (TOE) and combined two multi-criteria decision analysis methods, namely, AHP and TOPSIS to analyze the acceptance of cloud computing-based village information systems, the driving factors for adoption, and the selection of forms of OpenSID. The research focuses on the analysis of four dimensions namely organization, trust, innovation, and vendor. The sub-dimensions of each dimension include the organization (the technological readiness of actors, top management support, and firm size), Trust (security and privacy factors), innovation (compatibility, complexity, trialability, and relative advantage factors), and Vendor (vendor reputation, perceived price, and external support factors). Primary data was collected using a questionnaire and semi-structured interviews with respondents from the village government apparatus in Indramayu. The results of the study showed an open-source cloud-based village information system is the most suitable alternative solution for government at the village level in Indramayu, West Java Province. The results highlighted that the enablers that are critical for cloud adoption include Technology readiness, trust, technological innovation, and vendor. The barriers that are hindering cloud adoption are infrastructure readiness, understanding the use of cloud computing technology, low technical skills and knowledge, data integration issues, and data security. This research is a reference for developing a village information system based on cloud computing.
基于云的乡村信息系统采用的影响因素:技术-组织-环境框架和AHP-TOPSIS集成模型
基于云计算的服务是印尼增长的一个关键领域,但仍然很少有村庄采用了基于云计算的村庄信息系统。本研究调查了影响OpenSID在云计算中采用的因素。本研究以技术组织环境(TOE)为指导,结合AHP和TOPSIS两种多准则决策分析方法,分析基于云计算的村庄信息系统的接受程度、采用的驱动因素以及OpenSID的形式选择。本研究主要从组织、信任、创新和供应商四个维度进行分析。每个维度的子维度包括组织(参与者的技术准备程度、高层管理支持和公司规模)、信任(安全和隐私因素)、创新(兼容性、复杂性、可试验性和相对优势因素)和供应商(供应商声誉、感知价格和外部支持因素)。通过问卷调查和对Indramayu村政府机构受访者的半结构化访谈收集了原始数据。研究结果表明,基于云的开源村庄信息系统是西爪哇省Indramayu村一级政府最合适的替代解决方案。结果强调了云采用的关键因素包括技术准备、信任、技术创新和供应商。阻碍云采用的障碍是基础设施准备就绪、理解云计算技术的使用、低技术技能和知识、数据集成问题和数据安全。本研究对基于云计算的乡村信息系统的开发具有一定的参考价值。
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
Indonesian Journal of Electrical Engineering and Informatics
Indonesian Journal of Electrical Engineering and Informatics Computer Science-Computer Science (miscellaneous)
CiteScore
1.50
自引率
0.00%
发文量
56
期刊介绍: The journal publishes original papers in the field of electrical, computer and informatics engineering which covers, but not limited to, the following scope: Electronics: Electronic Materials, Microelectronic System, Design and Implementation of Application Specific Integrated Circuits (ASIC), VLSI Design, System-on-a-Chip (SoC) and Electronic Instrumentation Using CAD Tools, digital signal & data Processing, , Biomedical Transducers and instrumentation. Electrical: Electrical Engineering Materials, Electric Power Generation, Transmission and Distribution, Power Electronics, Power Quality, Power Economic, FACTS, Renewable Energy, Electric Traction. Telecommunication: Modulation and Signal Processing for Telecommunication, Information Theory and Coding, Antenna and Wave Propagation, Wireless and Mobile Communications, Radio Communication, Communication Electronics and Microwave, Radar Imaging. Control: Optimal, Robust and Adaptive Controls, Non Linear and Stochastic Controls, Modeling and Identification, Robotics, Image Based Control, Hybrid and Switching Control, Process Optimization and Scheduling, Control and Intelligent Systems. Computer and Informatics: Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling, Information Management (DB) practices, Knowledge Based Management System, Knowledge Discovery in Data).
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