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Review Citation - WoS: 244Citation - Scopus: 442Transformative Effects of Iot, Blockchain and Artificial Intelligence on Cloud Computing: Evolution, Vision, Trends and Open Challenges(Elsevier, 2019) Gill, Sukhpal Singh; Tuli, Shreshth; Xu, Minxian; Singh, Inderpreet; Singh, Karan Vijay; Lindsay, Dominic; Garraghan, PeterCloud computing plays a critical role in modern society and enables a range of applications from infrastructure to social media. Such system must cope with varying load and evolving usage reflecting societies' interaction and dependency on automated computing systems whilst satisfying Quality of Service (QoS) guarantees. Enabling these systems are a cohort of conceptual technologies, synthesized to meet demand of evolving computing applications. In order to understand current and future challenges of such system, there is a need to identify key technologies enabling future applications. In this study, we aim to explore how three emerging paradigms (Blockchain, IoT and Artificial Intelligence) will influence future cloud computing systems. Further, we identify several technologies driving these paradigms and invite international experts to discuss the current status and future directions of cloud computing. Finally, we proposed a conceptual model for cloud futurology to explore the influence of emerging paradigms and technologies on evolution of cloud computing. (C) 2019 Elsevier B.V. All rights reserved.Article Citation - WoS: 3Citation - Scopus: 4Sector Diversity among IT Professionals in the Timing of Blockchain Adoption: an Attitudinal Perspective(Kaunas Univ Technol, 2022) Akman, Ibrahim; Turhan, CigdemBlockchain technology has the potential to reshape the conventional ways of processes and transactions on digital platforms. Much of the attention surrounding blockchain is mainly focused on the technical and organizational aspects. Comparatively, little effort has been targeted towards understanding the attitudinal issues in blockchain adoption. This study aims to explore the role of attitudinal forms behind the intended timing of IT professionals' blockchain adoption, with an emphasis on the differences between the public and private sectors. A survey method was used where the data was collected from 208 IT professionals from public and private sector establishments in order to investigate how the different attitudes of the participants as well as the differences in their work sectors affect their intention to adopt blockchain. The data collected was analysed with ordinal logistic regression and the results indicate that the participants' affective, normative and pessimistic attitudes have a significant effect on the timing of blockchain adoption, and that these effects show differences among the IT professionals from the public and private sector. The findings are believed to provide valuable information to researchers and strategists in forecasting the future evolution of the blockchain technology in terms of individual utilization. The results also will provide feedback to managers of different sectors in making decisions regarding blockchain adoption, developers of blockchain services, as well as individuals who are interested in using blockchain.Article The Individual Readiness and Risk-Related Concerns of It Professionals for Blockchain Adoption(Elsevier, 2025) Turhan, Cigdem; Akman, IbrahimBlockchain has gained remarkable momentum since its introduction in 2008, drawing the attention of industries, individuals, and governments on a global scale. This technology has been studied in the literature, with a focus on technical aspects, application areas, and emerging research challenges. However, few studies address individuals' perceptions of and concerns with respect to blockchain adoption. This study aims to investigate the attributes affecting blockchain adoption intention. A sample of IT professionals was used for this purpose since they are expected to have earlier and greater awareness of new digital technologies. The perceptions of this group of users regarding attributes such as innovativeness, self-efficacy, social pressure, and awareness, as well as their perceptions of privacy, security, and complexity, were examined through a survey of 208 responses. The results indicate that among the individual attributes, personal innovativeness, awareness, and social pressure positively affect blockchain acceptance, whereas security and privacy concerns fuel the reluctance to adopt blockchain. The findings hopefully provide insight for developers and management of enterprises to ensure a smooth transition into blockchain and present evidence to forecast its future.Article Binary Tree Blockchain of Decomposed Transactions(Graz University of Technology, Institute of Information Systems and Computer Media (IICM), 2025) Culha, DavutWidespread adoption of blockchain technologies requires scalability. To achieve scalability, various methods are applied, including new consensus algorithms, directed acyclic graph solutions, sharding solutions, and off-chain solutions. Sharding solutions are particularly promising as they distribute workload across different parts of the blockchain network. Similarly, directed acyclic graphs use graph data structures to distribute workload effectively. In this work, a binary tree data structure is used to enhance blockchain scalability. Binary trees offer several advantages, such as the ability to address nodes with binary numbers, providing a straightforward and efficient method for identifying and locating nodes. Each node in the tree contains a block of transactions, which allows for transactions to be directed to specific paths within the tree. This directionality not only increases scalability by enabling parallel processing of transactions but also ensures that the blockchain can handle a higher volume of transactions without becoming congested. Moreover, transactions are decomposed into transaction elements, improving the immutability of the binary tree blockchain. This novel decomposition process helps to minimize the computational overhead required for calculating account balances, making the system more efficient. By breaking down transactions into their fundamental components, the system can process and verify transactions more rapidly and accurately. This approach effectively realizes implicit sharding using a binary tree structure, distributing the processing load more evenly and reducing bottlenecks. The proposed method is simulated to assess its performance. Experimental results demonstrate that the proposed method achieves a significantly higher transaction throughput of 32307 transactions per second. Furthermore, block generation times decrease as the system scales, with an average block generation time of 0.13 seconds, underscoring the efficiency of the binary tree blockchain structure.
