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The value of data: Data assetization and enterprises' business credit

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  • Chen, Lu
  • Tang, Siqi

Abstract

This study examines the essential function of data assetization—a transformative process that converts raw data into valuable, actionable, and marketable assets—in improving organizations' commercial creditworthiness under global economic instability and the decline of traditional trust mechanisms. This study demonstrates a positive causal association between data assetization and commercial lending, utilizing data from 2018 to 2023. Mechanism analysis indicates that this enhancement functions through two interconnected channels: optimizing credit resource allocation (by facilitating precise, advantageous credit terms aligned with operational requirements) and enhancing capital liquidity (by expediting cash conversion and short-term solvency), thereby creating a virtuous cycle that magnifies the overall effect. This study not only validates data assetization as a determinant of creditworthiness but also highlights its significance as a strategic capability rather than a mere technical procedure. It converts digital infrastructure into established financial credibility, addressing a crucial gap in previous research by focusing on management cognition in the conversion of technological access into financial trust. These findings offer practical insights for companies seeking to establish robust credit profiles in a progressively data-driven environment.

Suggested Citation

  • Chen, Lu & Tang, Siqi, 2025. "The value of data: Data assetization and enterprises' business credit," Finance Research Letters, Elsevier, vol. 86(PD).
    • Handle: RePEc:eee:finlet:v:86:y:2025:i:pd:s1544612325018641
    DOI: 10.1016/j.frl.2025.108610
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    References listed on IDEAS

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    1. Ni, Yunsong, 2025. "Data assets and corporate ESG performance: Evidence from Chinese listed companies," Finance Research Letters, Elsevier, vol. 86(PF).

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