Sep 2026· Business Technology & Innovation Studies Journal· 0 citations
TL;DR
The findings demonstrate that AI-driven competitive advantage emerges through knowledge integration and capability development rather than through technology adoption alone, providing new insights into how organizations can transform AI investments into sustainable strategic value.
Abstract
This study examines how organizations create competitive advantage from AI-enabled decision-making capability by investigating the mediating roles of knowledge integration and dynamic capabilities within digital business ecosystems. Drawing on the Knowledge-Based View and Dynamic Capabilities Theory, the study explores the organizational mechanisms through which AI-enabled resources contribute to superior competitive outcomes. A quantitative cross-sectional survey was conducted among 426 managers and professionals working in organizations that actively utilize artificial intelligence technologies across North America. Data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4. Reliability, validity, mediation, and predictive assessments were performed using a bootstrapping procedure with 5,000 resamples. The results indicate that AI-enabled decision-making capability is positively associated with knowledge integration and dynamic capabilities. Knowledge integration positively influences dynamic capabilities and competitive advantage, while dynamic capabilities emerge as the strongest predictor of competitive advantage. The findings further reveal that knowledge integration mediates the relationship between AI-enabled decision-making capability and dynamic capabilities, while dynamic capabilities mediate the relationship between knowledge integration and competitive advantage. This study contributes to the artificial intelligence and digital business ecosystem literature by integrating the Knowledge-Based View and Dynamic Capabilities Theory within a single explanatory framework. The findings demonstrate that AI-driven competitive advantage emerges through knowledge integration and capability development rather than through technology adoption alone, providing new insights into how organizations can transform AI investments into sustainable strategic value.
The findings indicate that AI capability positively influences knowledge integration, project agility, and project performance, and that AI capability improves project performance by strengthening knowledge integration, which subsequently enhances project agility.
Rıza Banavand, Çağdaş Tunca, Mustafa Rimaz· Business Technology & In...· 0 citations
AI capability is a new strategic capability in the organization that goes beyond operational efficiency and can support the quality strategic decision-making, sustainable performance of an organization, and high decision quality. Though AI capability is evolving, current research remains disparate in how to transform a...
M. Alshamsi· Journal of Intelligent Decis...· 0 citations
The reviewed literature indicates that AI alone does not create sustainable competitive advantage; rather, its value depends on complementary organizational resources, process redesign, employee acceptance, governance, and the ability to adapt continuously.
Unknown authors· COLLECTION OF PAPERS NEW ECO...· 0 citations
This research advances the theories of RBV and DCV by highlighting how AI-CRM advances capabilities that support resilience in dynamic environments, and positions AI-CRM and AIDDM as capabilities associated with organizational adaptation and innovation in dynamic environments.
T. Alaskar· Journal of Theoretical and A...· 0 citations
The proposed framework provides a foundation for empirical validation and offers managers a structured basis for assessing and developing strategic decision capability, including effective Human–AI collaboration, organizational adaptability, and resilience.
Mohamed Ibrahim Hassan Farag· Applied Decision Analytics· 0 citations
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