{"id":{"repo_id":"uts","oai_identifier":"oai:opus.lib.uts.edu.au:10453/191894"},"canonical_url":"https://search.dev.ndltd.org/etd/uts/oai:opus.lib.uts.edu.au:10453/191894","repository":{"repo_id":"uts","name":"University of Technology Sydney","base_url":"https://opus.lib.uts.edu.au/oai/request"},"display":{"title":"An empirical investigation of factors influencing the adoption of secure blockchain technology in the Saudi Manufacturing sector","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Alsolmy, Mahasen"],"institution":null,"degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2024,"date_issued":"2024","date_published":"2024","updated_at":"2026-07-24T06:32:42Z","subjects":[],"languages":["en_US"],"rights":["info:eu-repo/semantics/openAccess","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. 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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. 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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. 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