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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

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Published on: May 13, 2022

How data assets influence enterprise persistent innovation: Evidence from China.

Guohua Cao¹, Huihui Ye¹

¹School of Economics and Business Administration, Chongqing University, Chongqing, China.

|September 9, 2025

Summary

Data assets significantly boost enterprise persistent innovation (PI) by improving inputs and outputs. Digital finance further amplifies this effect, highlighting the value of data in driving innovation.

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Last Updated: Jul 9, 2026

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

Area of Science:

Business Administration
Information Systems
Innovation Management

Background:

Persistent innovation (PI) is crucial for sustained enterprise growth.
The role of data assets in driving PI remains an area requiring deeper investigation.
Understanding the interplay between data assets and innovation is vital in the digital economy.

Purpose of the Study:

To investigate the impact of data assets on enterprise persistent innovation (PI).
To explore the mediating channels through which data assets influence PI.
To examine the moderating role of digital finance in the data asset-PI relationship.

Main Methods:

Panel data analysis of Chinese A-share listed firms (2011-2022).
Endogeneity tests to ensure robustness of findings.
Mediation and moderated regression analyses to test proposed relationships.

Main Results:

Data assets significantly enhance both the inputs and outputs of enterprise persistent innovation.
Process, business, and technological innovation mediate the positive impact of data assets on PI.
Digital finance (coverage, depth, digitalization) positively moderates the relationship, amplifying the value of data assets.

Conclusions:

Data assets are a key driver of enterprise persistent innovation.
Digital finance acts as a catalyst, enhancing the innovation potential of data assets.
Tailored data strategies considering firm characteristics are essential for maximizing innovation outcomes.