In the era of digital economy， digital business model innovation centered on data elements has helped enterprises gain new competitive advantages. However， there is currently a lack of research in the academic community on the driving factors and implementation paths of digital business model innovation from the perspective of data elements. Based on the theory of information ecology， it constructed a multi-factor linkage model for digital business model innovation from the perspective of data elements， and obtained multiple implementation paths of digital business model innovation from the perspective of data elements through the fsQCA method. The research results indicate that data generation ability and data application ability， digital transformation leadership and cross-departmental data allocation， government data openness and data scenario traction are the specific preconditions for promoting digital business model innovation in the three dimensions of data capability， data subjects and data environment， respectively.There are four main implementation paths of digital business model innovation from the perspective of data elements， namely “capability support-efficiency leadership”“capability support-agile response”“collaborative drive-data availability”， and “diversified linkage-scenario release”. The research conclusions reveal the diverse implementation paths and internal mechanisms of digital business model innovation in enterprises from the perspective of data elements， clarify the accumulation mechanism and value release logic of data elements at the micro level of enterprises， enrich the theoretical research of digital business model innovation， and provide useful inspiration for enterprises to carry out digital business model innovation practice from the perspective of data elements.