IoT and Blockchain Integration for Enhanced AI-Driven Business Intelligence

Kalinaki, Kassim

doi:10.4018/979-8-3693-5288-5.ch002

Cited by 2 publications

References 68 publications

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The Mediating Impact of Organizational Innovation on the Relationship Between Fintech Innovations and Sustainability Performance

Almasria,

Alhatabat,

Ershaid

et al. 2024

Sustainability

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The paper explores the impact of digital payment systems, blockchain technology, and AI/machine learning on innovation and sustainability in financial organizations. As part of the analysis, the study has adopted an explanatory research design and has used SmartPLS in order to analyze the data collected from 230 professionals of different fields through a structured questionnaire. The results show positive effects of digital payment systems and blockchain technology on organizations’ innovations with the impact of digital payments being the most pronounced. Empirical results suggest that these technologies are important to improve sustainability performance, depending on measures of internal consistency and discriminant validity among the proposed constructs. Al, also machine learning, has the highest relevance with environmental sustainability, thereby underlining the importance and work of such measures. Based on the Resource-Based View (RBV) theory, the study also explains the need for the organization to assimilate these innovations to enhance the organizational operations, customer satisfaction, and compliance with the laws. The study highlights fintech’s potential to address environmental issues and enhance societal goals, but geographical limitations may obstruct its transportability.

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The Mediating Impact of Organizational Innovation on the Relationship Between Fintech Innovations and Sustainability Performance

Almasria,

Alhatabat,

Ershaid

et al. 2024

Sustainability

View full text Add to dashboard Cite

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Artificial Intelligence-Enabled Cybersecurity and Internet of Things Applications in Smart Cities

Shafik

2024

Advances in Civil and Industrial Engineering

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The rapid adoption of Smart Cities (SCs) has increased reliance on AI-based IoT technologies to enhance smart infrastructure and services, contributing to the UN's sustainable development goals. However, this integration brings significant cybersecurity (CS) challenges, such as DDoS, MITM, phishing, and ransomware attacks. This chapter underscores the importance of CS in SCs, highlighting vulnerabilities and risks. It examines IoT's role in SC infrastructure and services, AI's impact on SC efficiency, and various AI techniques used in SC applications. The chapter analyzes cyberattacks on SC infrastructure, suggesting CS measures like protocols, encryption, authentication techniques, access control, and incident response. AI and IoT integration enhances CS, reducing cyber threats through anomaly detection and real-time data collection for AI-based security solutions. The chapter also presents SC application case studies demonstrating the integration's effectiveness and best practices. It concludes by emphasizing the need for continued research and innovation in SC cybersecurity.

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IoT and Blockchain Integration for Enhanced AI-Driven Business Intelligence

Cited by 2 publications

References 68 publications

The Mediating Impact of Organizational Innovation on the Relationship Between Fintech Innovations and Sustainability Performance

The Mediating Impact of Organizational Innovation on the Relationship Between Fintech Innovations and Sustainability Performance

Artificial Intelligence-Enabled Cybersecurity and Internet of Things Applications in Smart Cities

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