How many papers support this gap analysis?

4 papers from our local library contribute to this synthesis, with an average publication year of 2025.

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economics4 papersavg year 2025weak evidence

The study identifies a gap in the understanding of how

Research gap analysis derived from 4 economics papers in our local library.

The gap

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 relation

Evidence profile

Sourced from the abstract and inline gaps and future-work section and stated research gap of the source papers, classified as general, drawn from work published between 2023 and 2026, spanning 4 journals. Those papers have been cited 289 times in total.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 4 representative gaps

Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small- and medium-sized enterprises (2023) · International Journal of Production Research · cited 289× · doi
Despite the exponential growth of artificial intelligence (AI) research in operations, supply chain, and productions management literature, empirical insights on how organisational behavioural mechanisms at the human–technology interface will facilitate AI adoption in small- and medium-sized enterprises (SMEs), and subsequent impact of the adoption on sustainable practices and supply chain resilience (SCR) is under-researched.
generalabstractevidence 5/5
Keywords: supply chain adoption despite exponential growth artificial intelligence operations productions management literature empirical insights organisational
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 gapsevidence 5/5
Keywords: organizational capability sustainable conceptualizing validating aissqc multidimensional addresses important literature provides stronger explanation investments translated
Artificial Intelligence Applications in Supply Chain Management: A Systematic Review of Empirical Evidence and Future Research Directions (2026) · Journal of Business and Management Studies · doi
Future research should focus on the development of more advanced AI technologies that can address the complex challenges in supply chains. Future studies should investigate the impact of AI on different types of supply chains and industries. Future research should explore the role of organizational learning and capability development in building internal competencies related to data analytics and AI management.
generalfuture-work sectionevidence 5/5
Keywords: future research focus development advanced technologies address complex
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

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 Know… This is supported by 4 representative gap statements extracted from 4 papers, rated weak evidence.

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