Capability Assessment Framework for Artificial Intelligence and Blockchain Adoption in Public Sector of United Arab Emirates (UAE)

Graibeh, Ahmad Mofleh Al, Khan, Saba, Al-Majeed, Salah and Zhang, Shujun ORCID: 0000-0001-5699-2676 (2024) Capability Assessment Framework for Artificial Intelligence and Blockchain Adoption in Public Sector of United Arab Emirates (UAE). International Journal of Advanced Computer Science and Applications, 15 (6). pp. 50-56. doi:10.14569/IJACSA.2024.0150607

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Abstract

This is an ongoing study with the aim to develop a maturity model for efficient deployment of Artificial Intelligence (AI) and Blockchain (BC) in the United Arab Emirates (UAE) public sector. The organizations would leverage this maturity model to assess their efficacy of deploying AI and BC technologies in their operations, highlighting their capabilities for successful integration of these technologies while underscoring their incompetency and directing their attention towards areas of improvement. To achieve this aim, initially the conceptual framework is proposed which would act as primary frame of reference for conducting empirical research in this prospect and developing a maturity model. This study presents the conceptual framework, which highlights the essential dimensions and factors that should be assessed and enhanced for successful implementation of AI and BC technologies. The framework also introduces five stages of maturity/development to mark the progress of each dimension of conceptual framework. This conceptual framework is 4x5 grid which vertically presents four dimensions and horizontally it presents five stages of maturity. Strategy & Governance, Technology, People, and Process are dimensions of framework whereas initial, developed, defined, managed and optimized are stages of maturity.

Item Type:	Article
Article Type:	Article
Additional Information:	Artificial Intelligence; Blockchain; Conceptual framework; Maturity model
Subjects:	Q Science > QA Mathematics > QA76 Computer software > QA76.9 Other topics > QA76.9.B56 Blockchains
Divisions:	Schools and Research Institutes > School of Business, Computing and Social Sciences
Depositing User:	Susan Turner
Date Deposited:	16 Jul 2024 15:41
Last Modified:	16 Jul 2024 15:48
URI:	https://eprints.glos.ac.uk/id/eprint/14235

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