制造业数字化转型与提升企业价值OA北大核心CHSSCDCSSCI

Digital transformation has a profound impact on the value acquisition and creation of manufacturing enterprises.How to optimize the value of manufacturing enterprises before digital transformation is an important question that needs to be answered urgently.Based on 432 listed manufacturing enterprise data,this study uses root theory and fsQCA method to analyze and test the antecedents,mechanisms,and paths of digital transformation in manufacturing enterprises to promote enterprise value enhancement.Based on industry characteristics,this study divides labor,technology and capital intensive manufacturing enterprises into three categories,and explore the value enhancement path of their digital transformation.The research results are as below.Firstly,multiple case root analysis identified six characteristic variables of digital transformation strategy layout,business management,market competition and cooperation,innovation and upgrading,R&D investment and enterprise construction.Configuration results found that a single digital transformation characteristic variable does not constitute the necessary condition for the value enhancement of manufacturing enterprises.Secondly,in the digital transformation of manufacturing enterprises,there is a kind of global enabling configuration that contributes to high enterprise value enhancement,as well as three types of configurations that lead to non high enterprise value enhancement:weak innovation,weak layout,and weak R&D,and the conclusions pass robustness tests.Thirdly,there are obvious configuration differences in the value enhancement driving path of labor-intensive,capital-intensive and technology-intensive manufacturing enterprises.Strategic layout of digital capability is the common core element for the three types of manufacturing enterprises to achieve value enhancement.This paper not only provides a new idea for the research on the precursor and synergistic path of manufacturing enterprise digital transformation and enterprise value enhancement,but also provides sufficient theoretical support for the policy design of enterprise digital transformation.