Business intelligence competence as a strategic enabler of organizational agility in supply networks
Purpose – This study investigates how Business Intelligence (BI) competence functions as a strategic enabler of organizational agility within supply networks. It examines the moderating role of BI competence in two critical relationships: between agile drivers and agile capabilities, and between agile capabilities and agile practices. In doing so, the study advances organizational agility theory by conceptualizing BI competence as a strategic and relational enabler that shapes agility development, rather than merely a technological support tool. Design/methodology/approach – Using targeted sampling, 157 responses were collected through a structured questionnaire from manufacturing firms. The data were analysed using partial least squares structural equation modelling (PLS-SEM). Findings – The results suggest that BI competence serves not only as a predictor of agile capabilities but also as a contextual moderator, particularly influencing the relationship between supply network capabilities and practices. This highlights a previously underexplored pathway in agility theory, whereby BI competence enables more effective translation of capabilities into actionable agile practices. Originality/value – This is the first empirical work to examine the theoretical interplay between BI competence and agility constructs within a chain-based framework. It contributes to theory by advancing the understanding of BI as a strategic enabler and moderating force, rather than merely a technological tool. The study also offers practical insights for manufacturing firms in emerging economies seeking to build resilience and responsiveness in their supply networks. Keywords- Organisational agility; supply chain resilience, agile capabilities; business intelligence competence; sustainable operations; dynamic capabilities
Publication Details
- Journal
- Research Repository (University of Gloucestershire)
- Published
- 2025-11-25
- Primary Topic
- Quality and Supply Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00