To address this notable gap in literature, we investigate how agility in decision-making, as a focal dynamic capability
Research gap analysis derived from 3 engineering papers in our local library.
The gap
To address this notable gap in literature, we investigate how agility in decision-making, as a focal dynamic capability, is a critical conduit linking AI capabilities for improving organizational outcomes and examine the interplay between a firm's decision-making agility and its internal and external environment, thereby offering a comprehensive understanding of the dynamics of today's complex…
Evidence profile
Sourced from the abstract and inline gaps of the source papers, classified as general, spanning 3 journals. Those papers have been cited 1 times in total.
Research trend
Established — well-defined area with open sub-problems.
Supporting evidence — 3 representative gaps
- AI for decision-making: exploring the linkage from AI capability to firm performance (2026) · Aslib Journal of Information Management · cited 1× · doi
To address this notable gap in literature, we investigate how agility in decision-making, as a focal dynamic capability, is a critical conduit linking AI capabilities for improving organizational outcomes and examine the interplay between a firm's decision-making agility and its internal and external environment, thereby offering a comprehensive understanding of the dynamics of today's complex business ecosystem.
generalabstractKeywords: agility decision making address notable literature investigate focal dynamic capability critical conduit linking capabilities improving - A Study on Digital Transformation in Commerce: AI as a Driver of Innovation in Coimbatore (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi
The dominance of data quality and integration issues as implementation barriers, combined with the widespread absence of formal ROI measurement practices, suggests that most organizations remain in the early and transitional stages of AI maturity, where tools have been adopted but the foundational infrastructure and evaluation frameworks necessary to derive strategic value have not yet been established.
generalinline gapsevidence 5/5Keywords: dominance quality integration issues implementation barriers combined widespread absence formal measurement practices suggests organizations remain - Strategic Adoption of Artificial Intelligence and Firm Performance: The Mediating Role of Strategic Agility in Emerging Economies (2026) · International Journal of Economics and Business Administration · doi
Future studies could explore additional mediating or moderating variables, such as organizational culture, leadership style, or digital capability maturity, to further explain the mechanisms linking AI adoption and firm performance. These finding advances prior studies that have reported mixed results regarding the AI–performance relationship by identifying an important organizational mechanism through which AI creates value. Strategic agility was found to play a crucial role in translating AI-related investments into superior performance outcomes, highlighting that technological adoption alone is insufficient without complementary organizational capabilities.
generalinline gapsevidence 5/5Keywords: organizational performance adoption future explore additional mediating moderating variables culture leadership style digital capability maturity
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