Journal Informatic, Education and Management (JIEM)

Data Privacy and Security in the Age of IoT A Comprehensive Study on Information System Vulnerabilities

2024-06-02T14:48:02+00:00

In the era of the Internet of Things (IoT), data privacy and security issues have become a primary concern in information systems. This research aims to investigate the underlying vulnerabilities of information systems concerning data privacy and security in the context of IoT. The research methods employed include literature surveys, case analyses, and reviews of best practices in data protection. The findings highlight several key vulnerability points, including weaknesses in credential management, network attacks, and deficiencies in data encryption implementation. Moreover, the findings indicate that despite advancements in security technology, significant gaps still exist that can be exploited by unethical parties to access users' IoT personal data. In conclusion, data protection in the context of IoT requires a holistic approach involving preventive measures, detection, and rapid response to evolving security threats. This research underscores the importance of data security education and awareness among IoT users and the necessity of collaboration among government, industry, and society to address these challenges.

Adoption and Impact of Cloud Computing in Small and Medium Enterprises A Systematic Review

2024-06-03T17:58:25+00:00

This research aims to investigate the adoption and impact of cloud computing on Small and Medium Enterprises (SMEs) through a systematic approach. The research method involves analyzing a number of relevant and verified scientific articles, focusing on technology adoption, benefits gained, and challenges faced by SMEs in adopting cloud computing technology. The analysis results show that cloud computing adoption among SMEs has significantly increased in recent years, with benefits including operational efficiency, scalability, and data accessibility. However, there are some obstacles faced, including data security issues, resource limitations, and challenges in integrating with existing systems. In conclusion, although cloud computing adoption holds great potential benefits for SMEs, associated challenges need to be addressed with careful strategies.

The Integration of Internet of Things (IoT) in Smart Cities A Systemic Approach to Urban Management

2024-06-03T18:05:32+00:00

The use of the Internet of Things (IoT) has become an integral part of efforts to develop efficient and sustainable smart cities. This research aims to investigate the integration of IoT in the context of systemic urban management. The research methods employed include in-depth literature studies, comprehensive policy document analysis, and field research to understand IoT implementation in several smart cities. The results indicate that a systemic approach to integrating IoT in urban management is crucial to achieving efficiency and sustainability. This integration involves various aspects, including physical infrastructure, information systems, policies, and community participation. In this context, the research highlights the importance of developing integrated and interoperable IoT infrastructure, open data platforms, and adequate regulatory frameworks. Additionally, community participation in designing and utilizing IoT solutions is a key factor for successful implementation. By analyzing case studies in several smart cities, this research also provides insights into the challenges faced and strategies employed in integrating IoT into urban management. Based on these findings, the research concludes that a systemic approach encompassing cross-sector collaboration, proven technology use, and active community participation is necessary for successful IoT integration in urban management. This research contributes to expanding the understanding of IoT implementation in a broader urban context and provides practical guidance for policymakers, practitioners, and academics involved in smart city development.

Ethical Considerations in Artificial Intelligence A Framework for Responsible Information Systems Development

2024-06-03T18:23:48+00:00

This research aims to develop a framework that explains ethical considerations in the responsible development of Information Systems (IS) related to artificial intelligence (AI). The research method used involved a thorough literature review to identify relevant ethical principles in the context of AI and IS. Apart from that, an in-depth analysis of various existing models and frameworks was also carried out to understand ethical considerations in technology development. The result of this research is a framework consisting of a series of ethical principles that must be considered at every stage of IS development that uses AI technology. This framework considers not only the technical aspects of system development, but also relevant social, legal and cultural aspects. Through the application of this framework, IS developers can ensure that the resulting products are not only of high technical quality, but also pay attention to their impact on individuals, society and the environment. The conclusions of this research emphasize the importance of including ethical considerations as an integral part of the IS development process that uses AI to achieve the goals of socially responsible technology development.

Analysis of the Impact of Blockchain Technology Adoption on Operational Efficiency and Consumer Trust in Digital Business

2024-07-04T04:23:01+00:00

This research intends to assess the influence of blockchain technology adoption on operational efficiency and consumer trust in digital enterprises. Blockchain technology, with its decentralized, transparent and safe properties, is predicted to have a favorable impact on several elements of business operations and boost consumer trust. The research method employed is a quantitative approach by collecting data through surveys and interviews with organizations that have incorporated blockchain technology. Data analysis was carried out using descriptive and inferential statistical techniques to test the stated hypotheses. The research results demonstrate that the deployment of blockchain technology greatly boosts operational efficiency, particularly in terms of reduced transaction costs, increased processing speed, and reduced operational errors. Apart from that, customer confidence has also improved dramatically, notably in areas of openness, security and data protection. These findings demonstrate that blockchain technology not only contributes to enhancing the operational performance of enterprises, but also boosting the trust relationship between firms and consumers. The conclusion of this study is that the implementation of blockchain technology has a considerable positive influence on operational efficiency and consumer trust in digital enterprises. Therefore, organizations working in the digital ecosystem are recommended to explore integrating blockchain technology as a strategy to boost competitiveness and consumer trust.