Digital enablement or burden? The impact of knowledge digitization on green innovation performance
Zhiyi Li, Xiaoyu MaPurpose
The “green productivity puzzle” suggests that digital investment does not always translate into environmental performance. Based on the knowledge-based view and the knowledge process perspective, this study aims to examine whether this puzzle reflects differences in the scale of digital knowledge or differences in how digital knowledge is integrated into firms’ technical and problem-solving processes.
Design/methodology/approach
This study distinguishes between the substantive integration of digital knowledge and the accumulation of general digital knowledge. Using Chinese listed firm data, knowledge digitization is operationalized as digital knowledge intensity, which captures the share of digital-physical coupled knowledge in the firm’s patent stock, and integration depth, which captures the depth of digital-physical knowledge integration as disclosed in patent claims.
Findings
Digital knowledge intensity and integration depth are both positively associated with green innovation performance, whereas the accumulation of purely digital knowledge is not. Mechanism analysis indicates that knowledge digitization is more strongly related to knowledge creation than to knowledge reuse, while cognitive friction weakens its positive association with green innovation performance. Additional analyses show that this positive effect is stronger for general-purpose connective technologies than for vertically specialized ones.
Originality/value
This study extends the theory of knowledge processes and shows that the green value of knowledge digitization depends on the degree of digital–physical knowledge coupling and the depth of integration. By linking knowledge digitization to knowledge creation, knowledge reuse and cognitive friction, it provides a knowledge-management perspective on how knowledge digitization shapes green innovation.