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March 25, 2026EntropyOpen Access

Mining the Collaborative Networks: A Machine Learning-Based Approach to Firm Innovation in the Digital Transformation Era

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Authors

WZWenhao ZhouZZZhiwei Zhang

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Overview

Investigates how collaborative networks and digital transformation affect innovation in firms, suggesting a complex relationship.

Key Points

  • The research aims to explore how collaborative network structures and digital transformation impact firm innovation performance.
  • Analyzed patent data from Chinese manufacturing firms (2012-2022)
  • Constructed inter-firm technological collaboration networks via co-patenting relationships
  • Employed a Classification and Regression Tree (CART) model to identify configurational patterns
  • Conducted regression-based robustness tests
  • Innovation outcomes depend on joint configurations of multiple network attributes
  • Structural holes are identified as the most influential factor on innovation performance
  • Digital transformation interacts with network positions to create diverse innovation paths
  • CART model outperforms traditional linear models in predicting innovation effects

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/69c37bf3b34aaaeb1a67ed65https://doi.org/10.3390/e28030357
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