With the rapid development of digital intelligence technology,the transformation of digital intelligence has become an inevitable choice for the development of manufacturing enterprises in the era of the digital economy. In this context,the ability to integrate digital intelligence technology and other resources of the enterprise has become the key to gaining a sustainable competitive advantage. Companies need to use digital intelligence technology to integrate digital intelligence production factors into the way they do business and transform digital intelligence production factors into digital intelligence capabilities. However,due to the lack of directional guidance for the construction of digital intelligence capability,some manufacturing enterprises are caught in the dilemma of "not transforming and waiting for death,or seeking death through transformation" ,and it is urgent to carry out in-depth research on the connotation and structure of digital intelligence capability from an academic point of view.#br#Following the dynamic resource-based view and the similar concept of digital intelligence capability,this paper defines the digital intelligence capability of manufacturing enterprises as the innovative capability of manufacturing enterprises to integrate and apply digital intelligence technologies such as big data,cloud computing and artificial intelligence in their R&D,production and sales activities,and to realize the digital intelligence of production and operation through the connection and configuration of internal and external resources such as digital intelligence technologies and data and information. Then,it explores the structural dimensions of digital intelligence capabilities of manufacturing companies using the qualitative research method of grounded theory and develops its scale. The paper follows the sampling principles of qualitative research to select the sample and conducts semi-structured interviews with 31 middle and senior managers and 23 employees from the selected manufacturing companies. The obtained textual information is tested by open coding,axial coding and selective coding,as well as theoretical saturation,and it is concluded that the digital intelligence capability of manufacturing enterprises consists of three dimensions: production intelligence capability,digital intelligence operation capability and digital intelligence connection capability. Finally,the initial scale of 19 measurement items is developed based on the connotations of each dimension. Drawing on the existing literature,the study revises the initial scale according to the experts' opinions. It strictly follows the scale development steps and constructs a digital intelligence capability index system consisting of 3 dimensions and 16 questions based on exploratory factor analysis for manufacturing enterprises. Through quantitative analysis of reliability and validity tests,the study confirms the good discriminant and convergent validity of the scale.#br#Different from the existing literature,this study clarifies the connotation and extension of digital intelligence capabilities in manufacturing enterprises through an in-depth interpretation of digital intelligence capabilities from a dynamic resource-based perspective and on the basis of comparison with other related concepts. Furthermore,grounded theory is used to dig deeper into the structural dimensions of digital intelligence capabilities,bridging the gap for previous studies merely focused on similar conceptual dimensions of numerical intelligence capabilities. It highlights that,compared to the digital capability,the digital intelligence capability pays more attention to the ecological scale of the industry chain and the depth of cooperation between enterprises,which expands the boundaries of the concept of enterprise digital intelligence capability. Finally,the digital intelligence capability scale for manufacturing companies developed in this study provides an effective measurement tool for the quantitative study of companies' digital intelligence capabilities. The development of this scale makes up for the shortcomings of the previous quantitative research on numerical intelligence ability,promotes the transformation of numerical intelligence ability from conceptual discussion to empirical research,lays a good foundation for further research on the paths and mechanisms of numerical intelligence ability enhancement,and promotes in-depth research on digital intelligence capability.#br#