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Analysis of Issues Affecting IoT, AI, and Blockchain Convergence

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The Effect of Information Technology on Business and Marketing Intelligence Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1056))

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Abstract

The purpose of this project was to appraise the integration or convergence issues influencing the mutual functioning of blockchain, AI, and IoT. The study argued that the recent developments in the field of IoT and blockchain prediction have involved the integration of innumerable classification schemes to establish a hybrid model. The introduction of the hybrid technique relies on the prediction performance that strives to override the limitations of any available architectural scheme. This study offers a comprehensive exploratory appraisal of the issues influencing the successful integration of IoT and blockchain in regards to functionality and effectiveness of security, trust, and flawless communication issues. The exploratory research methodology was used in analyzing the issues affecting the integration of blockchain, artificial intelligence (AI), and the internet of things (IoT). The findings indicated that the integration challenges influencing the effective operations of blockchain, AI, and IoT as a single system involve security, scalability, accountability, and trust of communications. The study recommends that successful and effective integration will enhance the development of new business models as well as the digital transformation of market corporations. Accordingly, new approaches to convergence should ensure that executives address the new technology demands to obtain significant gains in efficiency.

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Author information

Authors and Affiliations

  1. Faculty of Management, Canadian University Dubai, Dubai, UAE

    Nasser Taleb

  2. Department of Computer Engineering, College of Engineering, Mutah University, Mu’tah, Jordan

    Nidal A. Al-Dmour

  3. School of Information Technology, Skyline University College, Sharjah, UAE

    Ghassan F. Issa

  4. Faculty of Engineering, Applied Sciences and Technology, Canadian University Dubai, Dubai, UAE

    Tamer Mohamed Abdellatif

  5. School of Business, Skyline University College, Sharjah, UAE

    Haitham M. Alzoubi

  6. Department of Marketing, School of Business, University of Jordan, Amman, Jordan

    Muhammad Alshurideh

  7. Department of Management, College of Business Administration, University of Sharjah, Sharjah, UAE

    Muhammad Alshurideh

  8. College of Engineering and Information Technology, University of Science and Technology of Fujairah, Fujairah, UAE

    Mohammed Salahat

Authors
  1. Nasser Taleb
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  2. Nidal A. Al-Dmour
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  3. Ghassan F. Issa
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  4. Tamer Mohamed Abdellatif
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  5. Haitham M. Alzoubi
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  6. Muhammad Alshurideh
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  7. Mohammed Salahat
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Corresponding author

Correspondence to Haitham M. Alzoubi .

Editor information

Editors and Affiliations

  1. Dept of Mngmnt, Cllg of Busness Admin, University of Sharjah, Sharjah, United Arab Emirates

    Muhammad Alshurideh

  2. Department of Business Administration, Faculty of Economics and Administrative Sciences, Hashemite University, Zarqa, Jordan

    Barween Hikmat Al Kurdi

  3. Management Information Systems Department, School of Business, University of Jordan, Aqaba, Jordan

    Ra’ed Masa’deh

  4. Skyline University College, Sharjah, United Arab Emirates

    Haitham M. Alzoubi

  5. Research Institute of Sciences and Engineering, University of Sharjah, Sharjah, United Arab Emirates

    Said Salloum

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Taleb, N. et al. (2023). Analysis of Issues Affecting IoT, AI, and Blockchain Convergence. In: Alshurideh, M., Al Kurdi , B.H., Masa’deh, R., Alzoubi , H.M., Salloum, S. (eds) The Effect of Information Technology on Business and Marketing Intelligence Systems. Studies in Computational Intelligence, vol 1056. Springer, Cham. https://doi.org/10.1007/978-3-031-12382-5_112

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  • DOI: https://doi.org/10.1007/978-3-031-12382-5_112

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