Advancing corporate sustainability via big data analytics, blockchain innovation, and organizational dynamics—A cross‐validated predictive approach
通过问卷调查和结构方程模型，发现大数据分析能力、可靠的大数据和云数据分析能力以及区块链技术对企业可持续绩效有显著正向影响，数据驱动的竞争可持续性起中介作用，组织管理信息系统匹配和数据驱动文化起调节作用。
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.