Artificial Intelligence Technology Adoption,Resource Allocation, and Service-Oriented Manufacturing Performance —The Moderating Role of Data Factor Utilization Level
Guan Yunfang1, Tang Zhen1 , Tian Hao2, Liu Yu1
1. School of Business,Hohai University,Nanjing 211100,China; 2. School of Economics,Jilin University,Changchun 130012,China
Abstract：Industry 4.0 has shifted manufacturing toward Service-Oriented Manufacturing(SOM),transforming physical products into interactive service platforms.Today,artificial intelligence(AI)is redefining the core logic of SOM's value creation and delivery.Drawing on Resource Orchestration Theory and the Resource-Based View,this study utilizes panel data from 1,678 Chinese listed manufacturers(2012—2023)to examine the impact of AI adoption on SOM performance.Our findings indicate that:①AI adoption significantly bolsters SOM performance;②resource allocation serves as a critical mediator in this relationship;and ③the efficacy of AI-driven resource orchestration is contingent upon the level of data factor utilization.These results elucidate the mechanisms and boundary conditions of AI's impact,providing strategic insights for unlocking AI's value and fostering the deep integration of manufacturing and services.
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