Driving circular economy through business intelligence: managing complexity via innovation culture and effective decision-making

作者：Mariam Khalifa AlZaabi, Mehmood Khan, E. Alzeiby, Jagannath Mohanty, P. Sasso, Elena Borin · 发表于：Business Process Management Journal · 年份：2026 · DOI：10.1108/bpmj-05-2025-0748

This article investigates the effect of business intelligence (BI) capacity on the adoption of circular economy (CE) practices. Drawing on the quality of decision-making as a mediator and innovation climate (IC) and continuous improvement (CI) as moderators, it takes the research on open innovation process practices further. Through the resource-based view (RBV)/dynamic capabilities (DC) view, the study explains a conditional-process model that separates the bundles of BI capabilities (sensing, transforming and driving). In this model, decision-making quality (DMQ) is the middle link. IC and CI are the outside conditions that influence the results. The study employed a quantitative research design. The data was derived from a sample of 360 employees in governmental organizations throughout the United Arab Emirates (UAE). Structural equation modeling using partial least squares was employed for data analysis. The model examines three types of pathways: direct effects, indirect effects where BI influences CE outcomes through DMQ, and moderated effects, in which IC shapes the relationship between BI and DMQ, while CI influences the link between DMQ and CE outcomes. This analytical structure provides theory-driven evidence that extends beyond mere correlation. The results reveal that those BI capabilities, particularly driving and transforming capabilities, positively influence CE implementation by enhancing DMQ. Sensing capability showed no meaningful effect. This ...