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Abstract From the data-driven perspective, New Tianjin Steel Group is selected as the research object to explore the dynamic evolution process and internal mechanism of green transformation of high-pollution manufacturing enterprises driven by data. The results show that, firstly, the green pressure faced by high-pollution manufacturing enterprises mainly includes regulatory pressure, technological pressure as well as market pressure, and presents dynamic changes at different stages. The data-driven focus of their green transformation shows an evolutionary trajectory of “activation-optimization-reconstruction”. Secondly, the data-driven mechanism in the green transformation of high-pollution manufacturing enterprises mainly includes three key elements: technology combination, data utilization, and scene collaboration. Enterprises continue to improve their digital information technology capabilities through technology combination, fully release the value of data elements through data utilization, and realize energy information sharing through scene collaboration, thereby efficiently helping reduce carbon emissions. Thirdly, on the basis of technical logic and product logic, the enterprise green transformation model based on data logic is extracted.
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Received: 03 February 2023
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