An empirical investigation of factors influencing the adoption of secure blockchain technology in the Saudi Manufacturing sector

Alsolmy, Mahasen

An empirical investigation of factors influencing the adoption of secure blockchain technology in the Saudi Manufacturing sector

Alsolmy, Mahasen

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Publication Type:: Thesis
Issue Date:: 2024

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Field	Value	Language
dc.contributor.author	Alsolmy, Mahasen
dc.date.accessioned	2026-01-16T01:47:43Z
dc.date.available	2026-01-16T01:47:43Z
dc.date.issued	2024
dc.identifier.uri	http://hdl.handle.net/10453/191894
dc.description	University of Technology Sydney. Faculty of Engineering and Information Technology.	en_US.UTF-8
dc.description.abstract	A blockchain technology can be a transformative solution across various sectors, with the potential of its use in the manufacturing industry receiving increasing attention. This study explores the adoption of blockchain technology in the manufacturing sector of Saudi Arabia, a critical element of the nation’s Vision 2030 to enhance technological capabilities and economic growth. Despite the acknowledged advantages of blockchain, including enhanced accuracy of information, lower transaction costs, and improved compliance with standards, its adoption faces significant challenges. These include complexities in technology implementation and resistance in organisational structures. To address the scarcity of research on blockchain adoption in developing countries, particularly by IT employees, this study develops and examines a blockchain adoption framework based on the technology-organisation-environment (TOE) framework. Using a quantitative approach, this research analyses data collected from 332 valid responses out of 379 surveyed IT employees in the Saudi manufacturing sector. The study employs structural equation modelling to test hypotheses regarding the influence of seven key factors: relative advantage, compatibility, complexity, top management support, organisational readiness, current regulations and laws, and government support on the behavioural intention to adopt blockchain. The findings indicate a strong model fit, with these factors explaining 84% of the variance in behavioural intentions, significantly surpassing previous models. The results highlight government support as having the most substantial positive impact on adoption intentions. This study fills a significant gap in the existing literature and provides a practical roadmap to facilitate blockchain integration in manufacturing, aligning with the 2030 Vision national goals.	en_US.UTF-8
dc.format	Thesis (PhD)
dc.language.iso	en_US	en_US.UTF-8
dc.relation	https://opus.lib.uts.edu.au/bitstream/10453/191894/1/thesis.pdf
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	The author owns the copyright in this thesis including all reproduction and reuse rights for the work. The work may not be altered without the permission of the copyright owner. Attribution is essential when quoting or paraphrasing from this thesis.
dc.rights	© 2024 Mahasen Alsolmy
dc.rights	au.edu.uts.lib/cph
dc.title	An empirical investigation of factors influencing the adoption of secure blockchain technology in the Saudi Manufacturing sector	en_US.UTF-8
dc.type	Thesis
utslib.copyright.status	open_access	*

Abstract:

A blockchain technology can be a transformative solution across various sectors, with the potential of its use in the manufacturing industry receiving increasing attention. This study explores the adoption of blockchain technology in the manufacturing sector of Saudi Arabia, a critical element of the nation’s Vision 2030 to enhance technological capabilities and economic growth. Despite the acknowledged advantages of blockchain, including enhanced accuracy of information, lower transaction costs, and improved compliance with standards, its adoption faces significant challenges. These include complexities in technology implementation and resistance in organisational structures. To address the scarcity of research on blockchain adoption in developing countries, particularly by IT employees, this study develops and examines a blockchain adoption framework based on the technology-organisation-environment (TOE) framework. Using a quantitative approach, this research analyses data collected from 332 valid responses out of 379 surveyed IT employees in the Saudi manufacturing sector. The study employs structural equation modelling to test hypotheses regarding the influence of seven key factors: relative advantage, compatibility, complexity, top management support, organisational readiness, current regulations and laws, and government support on the behavioural intention to adopt blockchain. The findings indicate a strong model fit, with these factors explaining 84% of the variance in behavioural intentions, significantly surpassing previous models. The results highlight government support as having the most substantial positive impact on adoption intentions. This study fills a significant gap in the existing literature and provides a practical roadmap to facilitate blockchain integration in manufacturing, aligning with the 2030 Vision national goals.

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http://hdl.handle.net/10453/191894