How Digital Transformation Shapes Corporate R&D Expenditure: An Exploration of Multidimensional Perspectives and Innovation Consequences

Tingqian Pu

SAGE Open, 2025, vol. 15, issue 3, 21582440251349263

Abstract: Digital transformation has accelerated corporate innovation and strengthened competitive advantage, yet its impact on one of the most critical innovation inputs—corporate R&D expenditure—remains underexplored. This study addresses this gap by employing machine learning-based text analysis on 27,163 observations of Chinese A-share listed firms from 2012 to 2021. By integrating the perspectives of agency theory and dynamic capabilities, I find a positive relationship between digital transformation and corporate R&D expenditure. Additionally, five key dimensions of digital transformation—artificial intelligence, blockchain, cloud computing, big data, and digital technology applications—are shown to significantly increase R&D expenditure. The study further provides evidence that digital transformation enhances the effectiveness of R&D expenditure in producing innovative outcomes. These findings not only advance the theoretical frameworks of agency theory and dynamic capabilities but also offer practical insights for firms seeking to optimize digital strategies to maximize innovation outcomes. While focused on Chinese firms, the results have broader implications for other emerging markets where digital transformation is evolving rapidly. JEL Classification: G34, O31, O32, O33.

Keywords: corporate R&D expenditures; digital transformation; innovation performance; machine learning; text analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:3:p:21582440251349263

DOI: 10.1177/21582440251349263

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