Unleashing the power of AI in manufacturing: Enhancing resilience and performance through cognitive insights, process automation, and cognitive engagement

Yubing Yu, Jiawei Xu, Justin Z. Zhang, Liu, Yulong (David), Muhammad Mustafa Kamal and Yanhong Cao

International Journal of Production Economics, 2024, vol. 270, issue C

Abstract: The empowerment of Artificial Intelligence (AI) in manufacturing has drawn considerable attention, yet a holistic understanding of AI's effects on manufacturers' resilience and performance remains elusive. Our research leverages organizational information processing theory to explore the impact of three AI types – cognitive insights, process automation, and cognitive engagement – on manufacturers' resilience and performance. Our findings unveil that AI-driven process automation and cognitive engagement significantly influence both planned and adaptive resilience among manufacturers, while AI for cognitive insights predominantly elevates planned resilience without substantial effects on adaptive resilience. Moreover, our study establishes a positive link between planned and adaptive resilience and manufacturers' operational performance. By enhancing the comprehension of AI's implications for organizational resilience, our research yields crucial managerial insights and fresh perspectives for industry practitioners.

Keywords: AI; Process automation; Cognitive engagement; Cognitive insight; Manufacturer; Organizational resilience (search for similar items in EconPapers)
Date: 2024
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:270:y:2024:i:c:s092552732400032x

DOI: 10.1016/j.ijpe.2024.109175

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