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Artificial Intelligence And Big Data Analytics Capabilities For Enhancing Supply Chain Resilience And Supply Chain Performance: The Mediating Role Of Adaptive Capabilities

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dc.contributor.authorAl Zoubi, Lamees Rateb Ahmed
dc.date.accessioned2026-07-15T06:10:57Z
dc.date.available2026-07-15T06:10:57Z
dc.date.issued2025-09
dc.description.abstractToday's manufacturing industry is constantly challenged by global competition, rapid technological advancements, and economic shocks, compounded by environmental concerns and the need for continuous innovation. In response, manufacturers are increasingly adopting advanced technologies such as Artificial Intelligence (AI) and Big Data Analytics (BDAC) to enhance operational efficiency and supply chain resilience (SCRes) and performance (SCP). This study explores the direct and indirect effects of AI and BDAC capabilities on SCRes and SCP, employing Organizational Information Processing Theory (OIPT) and Dynamic Capabilities Theory (DCT) as its theoretical bases. The research was conducted using Partial Least Squares-Structural Equation Modelling (PLS-SEM) on a sample of 208 diverse manufacturing firms in Jordan. The findings underscore the pivotal role of Adaptive Capabilities (AC) as mediators, transforming AI and BDAC investments into significant improvements in SCRes and SCP.
dc.identifier.urihttps://erepo.usm.my/handle/123456789/24699
dc.language.isoen
dc.subjectArtificial Intelligence And Big Data Analytics Capabilities
dc.subjectEnhancing Supply Chain Resilience And Supply Chain Performance
dc.subjectMediating Role Of Adaptive Capabilities
dc.titleArtificial Intelligence And Big Data Analytics Capabilities For Enhancing Supply Chain Resilience And Supply Chain Performance: The Mediating Role Of Adaptive Capabilities
dc.typeResource Types::text::thesis::doctoral thesis
dspace.entity.typePublication
oairecerif.author.affiliationUniversiti Sains Malaysia
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