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Advancing corporate sustainability via big data analytics, blockchain innovation, and organizational dynamics—A cross‐validated predictive approach

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  • Youli Xu
  • Muddassar Sarfraz
  • Jianmin Sun
  • Larisa Ivascu
  • Ilknur Ozturk

Abstract

In today's business landscape, the paramount focus of firms is to achieve advanced corporate sustainability. This objective has led to the development of big data analytics, reliable big and cloud data analytics capabilities, and blockchain technology as powerful tools worldwide that have helped firms increase sustainable performance. Capitalizing on these technologies, this study provides new insight into the role data‐driven competitive sustainability, data‐driven culture, and organizational management information in steering firms' performance. Using a quantitative research approach, data was collected through a structured survey administered to managers and IT professionals across various industries. The relationships between the variables were analyzed using structural equation modeling (SEM), confirming that all proposed hypotheses were supported. The results demonstrate the significant positive impact of big data analytics capabilities, reliable big and cloud data analytics capabilities, and blockchain technology on corporate sustainable performance and data‐driven competitive sustainability. Furthermore, data‐driven competitive sustainability was found to mediate the relationships between BDA, RBCDA, blockchain technology, and corporate sustainable performance. Additionally, OMIS‐fit and data‐driven culture were identified as critical moderators that enhance the effects of these technological capabilities on competitive sustainability and corporate performance. These findings provide valuable insights for organizations seeking to leverage advanced technological capabilities to achieve a sustainable competitive advantage in emerging economies.

Suggested Citation

  • Youli Xu & Muddassar Sarfraz & Jianmin Sun & Larisa Ivascu & Ilknur Ozturk, 2025. "Advancing corporate sustainability via big data analytics, blockchain innovation, and organizational dynamics—A cross‐validated predictive approach," Business Strategy and the Environment, Wiley Blackwell, vol. 34(1), pages 1399-1418, January.
    • Handle: RePEc:bla:bstrat:v:34:y:2025:i:1:p:1399-1418
    DOI: 10.1002/bse.4056
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    Cited by:

    1. Marsela Thanasi-Boçe & Julian Hoxha, 2025. "Blockchain for Sustainable Development: A Systematic Review," Sustainability, MDPI, vol. 17(11), pages 1-38, May.
    2. Renfei, Chen & Zhongwen, Li & Guangfei, Yang & Wenli, Li & Zitong, Guo, 2026. "Exploring how artificial intelligence capabilities impact corporate sustainability performance: Insights from Chinese manufacturing firms," Technovation, Elsevier, vol. 149(C).

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