Data as a new type of production factor profoundly influences the development trajectory and competitiveness of enterprises in multiple aspects, including driving innovation, optimizing decision-making, reshaping business models, precision marketing, and improving operational efficiency. This paper uses the establishment of national big data pilot zones as a quasi-natural experiment and employs a difference-in-differences method to study the impact of data aggregation on corporate digital transformation. The findings reveal that data aggregation promotes corporate digital transformation, with more pronounced effects in regions with weaker factor utilization capabilities and in eastern regions. Mechanism analysis indicates that data aggregation enhances corporate willingness to pursue digital transformation by alleviating financing constraints and improving intellectual property protection levels.

Wenqian Mu, Jiangyuan Chang. Data Aggregation and Enterprise Digital Transformation: A Quasi-Natural Experiment Based on National Big Data Pilot Zones. Academic Journal of Business & Management (2025), Vol. 7, Issue 8: 164-171. https://doi.org/10.25236/AJBM.2025.070819.

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