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<p>In an era of rapid technological advancements and evolving market demands, organizations must continuously adapt their business models and enhance their sustainability performance. This study examines how business analytics capabilities (BAC) contribute to environmental, social, and governance (ESG) performance through resource orchestration capabilities (ROC), organizational agility (OA), and business model innovation (BMI) in China’s manufacturing and services sectors. Using partial least squares structural equation modeling (PLS-SEM) on data collected from eight hundred and fifty-eight respondents, the study finds that BAC significantly enhances ROC and OA, which drive BMI. However, the direct impact of ROC on BMI was found to be negligible, highlighting the complexity of resource management in fostering innovation. Additionally, the study underscores the pivotal role of BMI in improving ESG performance, reinforcing its strategic importance in sustainable business transformation. These findings offer theoretical insights into the intersection of analytics-driven capabilities, business model adaptation, and corporate sustainability, with practical implications for firms navigating competitive and regulatory pressures in China’s evolving business landscape.</p> Graphical abstract <p></p>

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Studying the nexus of business analytics capabilities with ESG performance. How resource orchestration capabilities, organizational agility, and business model innovation bridge this relationship

  • 期刊论文

  • 发表日期：

    2025年9月13日

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  • Jiajia Liao,
  • Masooma Batool,
  • Syed Jawad Ali Kazmi,
  • Fengcun Feng,
  • Abad Alzuman

摘要

In an era of rapid technological advancements and evolving market demands, organizations must continuously adapt their business models and enhance their sustainability performance. This study examines how business analytics capabilities (BAC) contribute to environmental, social, and governance (ESG) performance through resource orchestration capabilities (ROC), organizational agility (OA), and business model innovation (BMI) in China’s manufacturing and services sectors. Using partial least squares structural equation modeling (PLS-SEM) on data collected from eight hundred and fifty-eight respondents, the study finds that BAC significantly enhances ROC and OA, which drive BMI. However, the direct impact of ROC on BMI was found to be negligible, highlighting the complexity of resource management in fostering innovation. Additionally, the study underscores the pivotal role of BMI in improving ESG performance, reinforcing its strategic importance in sustainable business transformation. These findings offer theoretical insights into the intersection of analytics-driven capabilities, business model adaptation, and corporate sustainability, with practical implications for firms navigating competitive and regulatory pressures in China’s evolving business landscape.

Graphical abstract