Research On The Antecedent Configuration And Performance Of Intelligent Transformation Of Manufacturing Enterprises

Taking intelligent manufacturing as an important opportunity to promote the high-quality development of China ’s manufacturing industry is not only the main direction of further integration of digital economy and real economy,but also the key breakthr-ough of dual-cycle development.How to develop intelligent manufacturing,promote the intelligent transformation of manufacturing enterprises,help enterprises improve quality and efficiency to enhance their core competitiveness has become a problem for all senior managers of manufacturing enterprises and relevant scholars.As far as manufacturing enterprises are concerned,it is urgent to choose theoretical and empirical research methods to explore the development path of intelligent transformation of manufacturing enterprises,and to provide guiding significance and reference for the intelligent transformation of manufacturing enterprises.Based on the above background,the main research questions of this paper are:(1)What are the factors that affect and drive the intelligent transformation of manufacturing enterprises?(2)What are the linkage effects and transformation paths after the interaction of these influencing factors?(3)How will different intelligent transformation paths affect corporate performance?Are there any diff-erences?This paper integrates the causes and consequences of the intelligent transformation of manufacturing enterprises into the same framework.Firstly,this paper expounds the basic theory,combs the influencing factors,paths and follow-up performance of intelligent transformation of manufacturing enterprises;secondly,based on the adaptive structural theory,six antecedents that affect the intelligent transformation of manufacturing enterprises are refined;then,the fsQCA method is used to analyze the configuration of these six antecedents,and it is found that there are five configurations that lead to the intelligent transformation of high-level enterprises.At the same time,it is found that there is an alternative and complementary relationship between the antecedent conditions,and the typical cases of each configuration are further analyzed to realize the dialogue between theory and practice.Subsequently,the least square method is used to test the impact of intelligent transformation of different configurations on corporate financial performance and market performance,and it is found that the intelligent transformation of different configurations has a heterogeneous impact on corporate performance.Finally,according to the research results,it provides suggestions for measures at the enterprise level and the government level.The conclusions of the paper are as follows:(1)The six main influencing factors affecting the intelligent transformation of manufacturing enterprises are intelligent infrastructure,technological innovation capability,knowledge absorption capacity,manager cognition,environmental complexity,and government subsidies.(2)There are five configurations in the intelligent transformation of manufacturing enterprises,including knowledge absorption progressive intelligent transformation,policy-driven adaptive intelligent transformation,executive-led collaborative intelligent transformation,intelligent application active intelligent transformation,and innovation-supported active intelligent transformation.(3)Knowledge absorption incremental intelligent transformation and innovation support intelligent transformation can significantly enhance enterprise performance;policy-driven adaptive intelligent transformation has a significant negative impact on enterprise performance;the impact of executive-led collaborative intelligent transformation and intelligent application active intelligent transformation on corporate performance are not significant.The research conclusions provide reasonable suggestions for manufacturing enterprises to choose intelligent transformation methods and how the government can play a guiding role.