How AI-Big Data integration affects firm resilience

The gap

Evidence profile

Sourced from the recommendations and inline gaps and stated research gap of the source papers, classified as general, spanning 3 journals.

Supporting evidence — 3 representative gaps

• The Moderating Role of Business Intelligence in the Relationship between Supply Chain Alliances and Sustainable Firm Performance within Emerging Economic Environment (2026) · International Review of Management and Marketing · doi

  The structural model results highlight the critical role of business intelligence (BI) in strengthening the correlation between supply chain alliances (SCA) and sustainable firm performance (SFP) in new economic landscapes. The findings indicate that although supply chain alliances lead to resource sharing and operational coordination, their direct effect on firm sustainability is insignificant unless underpinned by BI capabilities. This relationship is substantially enhanced by the moderating effect of BI (MEB), which confirms that data-driven intelligence transforms alliances into strategic instruments for long-term sustainability. Essentially, BI helps companies convert data within alliance networks into actionable insights that foster innovation, efficiency, and resilience. Companies that successfully integrate BI into their supply chain management practices are more likely to track sustainability measures, adapt to environmental forces, and make informed strategic choices. This observation aligns with dynamic capabilities theory, which states that organizations need to continuously redesign resources and capabilities in response to evolving environments. BI, therefore, is a dynamic capability that can help firms gain sustained competitive advantage and achieve high performance outcomes. The study recommends that: i. Firms operating in emerging economies should prioritize investments in BI technologies, including data analytics platforms, dashboards, and real-time monitoring systems, to enhance supply chain visibility and sustainability performance. integrated data-sharing systems that allow seamless information exchange, ensuring that BI tools can aggregate, analyze, and visualize data across the network. iii. Beyond technology, firms should develop human capital by training employees in data literacy, predictive analytics, and business decision modeling to maximize the utility of BI in strategic decision-making. REFERENCES Adegbite, E., Macheke, R. (2022), The role of business intelligence in enhancing operational efficiency and sustainability within retail supply chains in emerging markets. Journal of Retail and Consumer Services, 68, 103-120. Agyabeng-Mensah, Y., Afum, E., Ahenkorah, E. (2020), Exploring the link between green manufacturing practices and sustainable performance: The moderating role of supply chain collaboration. International Journal of Production Economics, 228, 107-128. Agyabeng-Mensah, Y., Afum, E., Owusu, J.A. (2020), Examining the influence of internal green supply chain practices, green human resource management, and supply chain integration on firm performance. Supply Chain Management an International Journal, 25(3), 385-400. Agyabeng-Mensah, Y., Ahenkorah, E., Afum, E., Acquah, I.S.K. (2020), The impact of supply chain collaboration on su

  generalrecommendations
  Keywords: supply chain performance sustainability role business intelligence alliances firm capabilities strategic management practices firms journal
• Developing AI-enabled sustainable supply chain quality capability: Scale development, validation, and its role in enhancing supply chain resilience and performance (2026) · Radiant Journal of Business & Sustainability · doi

  By conceptualizing and validating AISSQC as a multidimensional organizational capability, the study addresses an important gap in the literature and provides a stronger explanation of how AI investments are translated into resilient and sustainable supply chain outcomes (Barney, 1991; Teece, 2007). The findings indicate that AI Capability alone is insufficient to strengthen resilience and sustainable performance; instead, organizational value emerges when AI is embedded within coordinated routines that integrate quality management, sustainability, collaboration, continuous improvement, and responsible governance.

  generalinline gaps
  Keywords: organizational capability sustainable conceptualizing validating aissqc multidimensional addresses important literature provides stronger explanation investments translated
• Integrating AI and Big Data for Firm Resilience: The Mediating Roles of AI Capabilities and Supply Chain Agility (2026) · Systems · doi

  The study identifies a gap in the understanding of how AI-Big Data integration affects firm resilience. The study aims to contribute to the Dynamic Capabilities View (DCV) and Knowledge-Based View (KBV) by empirically examining the relationships between AI-Big Data integration, AI capabilities, supply chain agility, and firm resilience.

  generalstated research gapevidence 5/5
  Keywords: study identifies gap understanding ai-big data integration affects

Questions about this gap