基于ISM-ANP的制造业公司数字化成熟度评价模型OA

Addressing the problems of inadequate systematic indicator systems and insufficient consideration of the complexity of relationships among indicators in existing digital transformation maturity assessment models,this study integrates Interpretive Structural Modeling(ISM)and Analytic Network Process(ANP)to construct a digital transformation maturity assessment model for manufacturing companies.Through literature review and expert interviews,an evaluation system containing 6 primary indicators and 18 secondary indicators was established.The ISM model was employed to analyze the hierarchical relationships among indicators,and the ANP method was adopted to determine indicator weights.The digital maturity of enterprises was divided into five levels,constructing a complete maturity assessment model.The research indicates that digital transformation in manufacturing relies more on management change and organizational adaptability rather than mere technology application,providing a scientific assessment tool for the digital transformation of manufacturing enterprises.