关键词: 数据主导逻辑, 数字技术采纳, 新质生产力

Abstract:     In the context of high-quality development, many traditional industries urgently need to create new quality productivity through integration of digital and real economy to promote the upgrading of quality and efficiency. However, current research mostly focuses on the theoretical deductions at the macro level, with little emphasis on revealing how companies can overcome the gap from traditional productivity to new quality productivity in the context of new technologies. To address this, this study conducted an embedded single-case study centered around the Duckbill Technology Platform, exploring its micro mechanisms in disrupting traditional containerized land transportation models simultaneously on the supply and demand sides to build new quality productivity. The study found that: (1) in the supply and demand sides of traditional industries, the process model of “digital technology adoption - data dominant logic - traditional productivity renewal” was established through collaborative efforts to overturn old growth patterns. (2) To address the development bottlenecks of traditional industries’ supply and demand sides, adopting digital technology under the dual dimensions of general digital technology embedding and exclusive digital technology research and development, served as a stimulating factor and trigger for promoting the transition from traditional to 
new quality productivity. (3) Data-driven process reengineering and functional realignment together constituted a data dominant logic, which acted as an enabler for enterprises to form an organic linkage between data flow and business flow from a strategic cognition level.The research findings will provide reference for the construction of new quality productivity in traditional industries by promoting mutual promotion of "supply-demand" sides to break through traditional growth bottlenecks and development maladies.

Key words:  data dominant logic, digital technology adoption, new quality productivity