The Configuration Effect of Factors Influencing the Performance of Intelligent Transformation in Manufacturing Enterprises:Based on AMO Theoretical Analysis Framework
The intelligent transformation of manufacturing enterprises is the result of the synergy of multiple factors,and how to improve transformation performance is currently the main challenge faced by Chinese manufacturing enterprises.However,there is still a lack of in-depth research on this issue.In this regard,this paper first defines the concept of intelligent transformation of manufacturing enterprises and analyzes its connotation.Secondly,considering that the performance level of organizations,teams,or individuals is influenced by various factors such as their ability,motivation,and opportunity,a configuration model of the influencing factors of intelligent transformation performance in manufacturing enterprises is constructed based on the ability-motivation-opportunity(AMO)theoretical framework.Finally,using 103 valid questionnaires for manufacturing enterprises across China,combined with typical cases,the fuzzy set qualitative comparative analysis method(fsQCA)is used to analyze the configuration effects of enterprise transformation abilities(dynamic capabilities,knowledge endowments),transformation motivations(internal transformation needs,external competitive pressures),and transformation opportunities(government policy support,digital infrastructure)on the intelligent transformation performance of sample enterprises.The results indicate that ability,motivation,and opportunity alone cannot constitute the necessary conditions for the high intelligence transformation performance of manufacturing enterprises.There are eight conditional configurations that can lead to high intelligence transformation performance in enterprises,which can be summarized as five configuration types,including ability-led opportunity-supportive,motivation-led ability-supportive,motivation-led opportunity-supportive,opportunity-led ability-supportive,and ability-,motivation-,and opportunity-combined.There is one type of conditional configuration that can lead to non-high intelligence transformation performance in enterprises,which can be summarized as ability,motivation and opportunity non-availability.From this,it can be inferred that manufacturing enterprises must pay attention to comprehensive consideration of their own abilities,motivations,and opportunities in the process of transforming and upgrading to intelligent manufacturing,and choose a reasonable transformation and upgrading path based on actual conditions.
intelligent transformation of manufacturing enterprisestransformation performancefactor synergyability-motivation-opportunity(AMO)theoryfuzzy set qualitative comparative analysis(fsQCA)configuration analysisintelligent manufacturing
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