How business intelligence capability impacts decision-making speed, comprehensiveness, and firm performance

Scholars and practitioners have trumpeted business intelligence (BI) capability as a game-changer due to its significant impact on firm performance. Despite these claims, the amplifying and underlying mechanisms governing the relationship between BI capability and organizational performance are still in their infancy. This research examines the nexus between BI capability, decision-making speed, comprehensiveness, and organizational performance. This study, drawing on knowledge-based theory, proposes a conceptual model to explain how BI capability influences organizational performance through decision-making speed and comprehensiveness and the moderating role of firm size. The proposed moderated-mediated model was tested using survey data from 236 respondents occupying leadership positions in various Jordanian industries. Partial least squares structural equation modeling (PLS-SEM) was used to diagnose the proposed model. BI capability indirectly affects firm performance through decision-making speed and comprehensiveness. These mediating effects do not vary by company size. This paper contributed theoretically and practically to the BI framework considering decision-making, firm performance, and firm size. Implications for theory-building and practice are described.