Palabras clave
Innovation performance
Knowledge management capability
Organizational resilience
Environmental dynamism
Cómo citar
Resumen
Purpose: This study investigates how digital capabilities function as infrastructural enablers of Competitive Intelligence (CI) systems and how intelligence-governed processes drive competitive innovation performance.
Methodology/Approach: Using survey data from 658 enterprises, Structural Equation Modeling (SEM) was employed to test a dual-mediation and moderated framework in which knowledge management capability and organizational resilience represent intelligence-processing and intelligence-execution mechanisms.
Originality/Relevance: Rather than treating digital capabilities as direct drivers of innovation, this study repositions them as components of intelligence governance infrastructure. The model integrates dynamic capability theory with Competitive Intelligence logic to explain how firms reduce information asymmetry and structure executive decision-making under environmental dynamism.
Findings: Results demonstrate that digital capabilities influence innovation performance primarily through intelligence-processing (knowledge management) and intelligence-execution (organizational resilience) mechanisms. Environmental dynamism strengthens these intelligence pathways. Sustainable competitive advantage emerges from structured intelligence governance rather than technological intensity alone.
Theoretical/methodological contributions: This research will have its relevance to the existing literature through the formulation and empirical support of a dual-mediation model between digital capabilities and competitive innovation performance. It applies the dynamic capability theory to the digital field and demystifies the boundary role of environmental dynamism, providing a systematic discussion on the future research in the study of capability-based innovation.
Citas
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