Dr. Mahd M Alzoubi

Integrating Blockchain and Artificial Intelligence can change business processes, promising improvements in Security, efficiency, and transparency. This proposed research investigates the synergy between these two technologies, investigating how their convergence can change business operations. AI’s data analysis and decision-making ability, coupled with Blockchain’s Security and transparent data sharing, sets the stage for innovative solutions across diverse sectors. The study aims to explore this integration’s potential benefits and challenges, emphasizing the need for further exploration and development. By conducting a systematic literature review, this research will analyze current findings to provide comprehensive insights into how Blockchain and AI can work together to improve business processes. This investigation uses AI to enhance Blockchain’s capabilities through smart contract automation, data analysis, and decision-making, while Blockchain offers a secure and transparent framework for AI operations. The research seeks to answer critical questions about improving Blockchain networks’ Security and privacy using AI, using Blockchain to enhance AI systems’ transparency and accountability, and using AI to improve Blockchain network performance and scalability. Beyond this research, the Author aims to contribute to the Blockchain and AI integration literature, offering a base for future research.

This paper explores the potential of blockchain technology to enhance the security and trust of the Internet of Things (IoT) ecosystem. It identifies key challenges faced by IoT applications, such as data privacy, security, and interoperability. The paper then analyses how blockchain's characteristics, including decentralisation, immutability, and transparency, offer solutions to these challenges. It highlights how blockchain can secure data transactions, automate device authentication, and ensure data integrity, addressing critical IoT vulnerabilities. However, the paper acknowledges the complexities of integrating blockchain and IoT (BCIoT), including scalability limitations, energy consumption concerns, and the need for interoperability across diverse platforms. Additionally, regulatory considerations surrounding blockchain's decentralised nature are discussed. The paper concludes by emphasising the contribution of this research in providing a comprehensive analysis of blockchain's potential to secure, streamline, and manage IoT applications, paving the way for their secure and efficient integration.

Organizations make substantial investments in implementing enterprise resource planning (ERP) systems to improve the efficiency and utilization of ERP systems. This study examined the factors influencing and moderating the use of ERP systems. The research variables' hypothetical relationships and moderation analysis were examined through factor analysis and partial least squares structural equation modeling. This study suggests that specific factors significantly influence and moderate the employees' system use. The research results could serve as a reference for vendors when planning the implementation of an ERP system.

Cloud computing is a technology that is expected to have a positive impact on the healthcare industry. However, this technology should be employed after a thorough investigation of relevant industry-specific requirements. This research aimed to uncover the relative importance and moderating effects of service quality, trust, and security on cloud systems usage in the healthcare industry. A web-based survey provided 291 usable responses from which the researchers examined the survey items' internal consistency, reliability, and discriminant and convergent validity. SmartPLS was utilised to investigate the hypothetical relationships using partial least squares (PLS) structural equation modelling (SEM). The study findings indicated that the research variables security, trust, and service quality (SVQ) were found to be the main predictors of cloud computing usage in healthcare. Cloud providers can use these results to deliver better service to the healthcare industry by focusing on the leading issues perceived by healthcare end-users.

The healthcare systems are making changes by incorporating technological innovations to serve patients and secure medical data. Blockchain is an emerging field that has become one of the most examined techniques for managing and securing data transfer over trusted peer-to-peer systems. This study focuses on the existing literature to identify the challenges and solutions in healthcare systems. Several research articles were thoroughly examined and analysed to conclude how blockchain technology can overcome security challenges in the healthcare sector. This paper was completed using a systematic literature review to find and aggregate all relevant studies to answer specific research questions. The anticipated contribution of this paper is to provide an overview for healthcare organisations and practitioners to understand the significance of blockchain technology solutions in healthcare. In addition, to motivate and provide direction for advancing knowledge to better secure, distribute, and manage medical data.

Enterprise resource planning (ERP) systems have been widely studied during the past decade, yet they often fail to deliver the intended benefits originally expected. One notable reason for their failures is the lack of understanding in users' requirements. This study was designed to understand the relative importance of system quality, information quality, service quality, and their influence on ERP users in the Middle East. The dependent variable individual impact was used to represent the ERP success at the individual level of analysis. The results from this study were compared to the results attained by Petter et al. in their 2008 analysis of North American ERP users. In addition, the moderating effect of users' characteristics on the individual impact variable was examined along an investigation of the items' reliability, internal consistency, convergent, and discriminant validity. Assessing the level of impact from users may help organizations assess the impacts of ERP users' performance and productivity and create training to improve attitudes toward ERP systems.