Alzoubi, H M, Lee, Khai Loon, Wong, Sze Yun, Al Kurdi, Barween, Alshurideh, Muhammad Turki and El Khatib, Mounir (2023) Adopting smart supply chain and smart technologies to improve operational performance in manufacturing industry. International Journal of Engineering Business Management, 15. ISSN 1847-9790
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The manufacturing industry plays a crucial role in the economy of many countries, but there is a lack of expertise in implementing smart supply chains and smart technologies. This study aims to investigate the relationship between smart supply chains, smart technologies, and operational performance in the manufacturing industry. A survey questionnaire was conducted among registered manufacturing industries, and the results were analyzed using Smart PLS to test 10 hypotheses. Four hypotheses were supported out of 119 responses received through simple random sampling. The study suggests implementing instrumented supply chains using smart technologies can enhance operational performance. The findings provide valuable insights for policymakers, academics, and industry practitioners to improve the competitiveness of the manufacturing industry. This research emphasizes the importance of smart supply chains and smart technologies in achieving operational excellence, and further studies are necessary to address the identified limitations and contribute to a deeper understanding of the role of smart technologies in the supply chain’s digitalization.
Affiliation: | Skyline University College |
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SUC Author(s): | Alzoubi, H M ORCID: https://orcid.org/0000-0003-3178-4007 |
All Author(s): | Alzoubi, H M, Lee, Khai Loon, Wong, Sze Yun, Al Kurdi, Barween, Alshurideh, Muhammad Turki and El Khatib, Mounir |
Item Type: | Article |
Subjects: | A Business and Management > AM Business Innovation A Business and Management > AS Business Strategy |
Divisions: | Skyline University College > School of IT |
Depositing User: | Mr Mosys Team |
Date Deposited: | 26 Jan 2024 16:16 |
Last Modified: | 26 Jan 2024 16:16 |
URI: | https://research.skylineuniversity.ac.ae/id/eprint/794 |
Publisher URL: | https://doi.org/10.1177/18479790231200614 |
Publisher OA policy: | https://v2.sherpa.ac.uk/id/publication/19400 |
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