Developing a Blockchain-based Data Storage System Model to Improve Government Agencies’ Organizational Performance

Abstract

Confidential documents in possession of government agencies are considered as assets that must be protected. Government agencies have started implementing cloud data storage systems to document data in a centralized network. However, this data storage system has been well-known as being threatened by data security, integrity, and data availability risks. On the other hand, blockchain technology, a decentralized, fast, secure, transparent, and recorded data storage system, is considered as the solution for mitigating these risks. Therefore, this study aims to identify the dominant risk factors of implementing the cloud computing storage system in government agencies potentially impacting its organizational performance and developing a risk-based data storage system that considers blockchain technology. This research used questionnaire surveys, case studies, and expert interviews to obtain its research objectives. The results demonstrated that six dominant risks included data theft and breaches, data corruption caused by virus attacks, limited storage space, data loss caused by system damage, data being accessed without particular access rights, and lack of guarantees from the system when a security threat occurred. A model for the blockchain-based cloud data storage system is proposed to address these risks and to improve the organizational performance of government agencies.