TY - JOUR
T1 - Unleashing the power of AI in manufacturing
T2 - Enhancing resilience and performance through cognitive insights, process automation, and cognitive engagement
AU - Yu, Yubing
AU - Xu, Jiawei
AU - Zhang, Justin Z.
AU - Liu, Yulong (David)
AU - Kamal, Muhammad Mustafa
AU - Cao, Yanhong
N1 - Publisher Copyright:
© 2024 Elsevier B.V.
PY - 2024/4
Y1 - 2024/4
N2 - 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.
AB - 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.
KW - AI
KW - Cognitive engagement
KW - Cognitive insight
KW - Manufacturer
KW - Organizational resilience
KW - Process automation
UR - http://www.scopus.com/inward/record.url?scp=85185401167&partnerID=8YFLogxK
U2 - 10.1016/j.ijpe.2024.109175
DO - 10.1016/j.ijpe.2024.109175
M3 - Article
AN - SCOPUS:85185401167
SN - 0925-5273
VL - 270
JO - International Journal of Production Economics
JF - International Journal of Production Economics
M1 - 109175
ER -