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February 12, 2026PLoS ONE0 citationsOpen Access

The data-driven decision-making, sustainable value creation, and international firm performance: Micro-level evidence based on AI language models

MXMiao XuBLBing Lu

Key Points

  • This research aims to examine how data-driven decision-making influences international firm performance through sustainable value creation.
  • Analyzed the effects of data-driven decision-making on international firm performance.
  • Utilized AI language models (BERT and ChatGLM2-6B) to quantify data-driven decision-making.
  • Developed a framework outlining the mechanisms of sustainable value creation across multiple dimensions.
  • Data-driven decision-making positively impacts international firm performance.
  • Sustainable value creation mechanisms include pollution prevention, green innovation, sustainability information disclosure, and sustainability vision co-creation.
  • The positive effect of data-driven decision-making is stronger in competitive markets with higher foreign shareholding and state ownership.

Abstract

Data-driven decision-making (DDDM) has become integral to managerial and organizational processes in the era of digitalization and internationalization. This study explores the impact of DDDM on international firm performance. Leveraging AI language models, specifically BERT and ChatGLM2-6B, to quantify DDDM, we find that DDDM positively impacts international firm performance. To uncover the mechanisms underlying this correlation, we develop a framework explaining how DDDM creates sustainable value for firms, thereby enhancing international firm performance across four dimensions: pollution prevention (current internal), green innovation (future internal), sustainability information disclosure (current external), and sustainability vision co-creation (future external). Additionally, this study reveals that the positive impact of DDDM on international firm performance is amplified by higher market competition, greater foreign shareholding, and state ownership.

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Cite This Study

Xu et al. (2026) studied this question.

synapsesocial.com/papers/698d6edc5be6419ac0d54c49https://doi.org/10.1371/journal.pone.0340731
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