Determinants of information and digital technology implementation for smart manufacturing
Факторы, определяющие внедрение информационных и цифровых технологий для «умного» производства
2019-06-25
SCID: 54.1/4hv58unn
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Industry 4.0Information and Digital Technologies (IDT)cybersecurity maturitydeterminants of IDT adoptionenabling factorsinterpretive structural modellingmanagement supportoperations technology maturityperceived benefitssmart manufacturing
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Abstract (AI)
This study aims to identify and analyse factors that determine the implementation of Information and Digital Technologies (IDT) of smart manufacturing. By performing a state-of-the-art and content-driven review of literature, consulting a group of experts from academia and industry, and implementing interpretive structural modelling methodology, the study identified eleven enabling factors and mapped the contextual interrelationships among them. The study further explained the complex precedence relationships that exist among determinants of smart manufacturing IDT adoption. Results showed that perceived benefits and management support are the two driver determinants that act as stepping-stones in the implementation of smart manufacturing IDT. Operations technology maturity and cybersecurity maturity were found to be the dependent determinants of smart manufacturing IDT implementation and highly driven by the linkage and driver determinates. The findings are expected to assist academicians, industrialists, and the policymakers with achieving a detailed understanding of smart manufacturing transformation processes, and conditions that facilitate the manufacturing digitalisation in the Industry 4.0 era.
Key Findings
1
Eleven enabling factors determining implementation of information and digital technologies (IDT) for smart manufacturing were identified via literature review and expert consultation.
2
Findings provide actionable understanding to help academicians, industry practitioners, and policymakers facilitate manufacturing digitalisation in the Industry 4.0 era.
3
Interpretive structural modelling mapped contextual interrelationships and explained complex precedence relationships among the identified determinants.
4
Operations technology maturity and cybersecurity maturity are dependent determinants of smart manufacturing IDT implementation, heavily driven by linkage and driver determinants.
5
Perceived benefits and management support are the two driver determinants that act as primary stepping-stones for implementing smart manufacturing IDT.
Research Object
Implementation of Information and Digital Technologies (IDT) for smart manufacturing
Research Subject
Determinants (factors and their contextual interrelationships and precedence) governing adoption and implementation of IDT in smart manufacturing, including driver and dependent factors such as perceived benefits, management support, operations technology maturity, and cybersecurity maturity
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2019-06-25
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