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Business Intelligence and Environmental Sustainability: Evidence from Jordan on the Strategic Role of Green and Integrated Supply Practices

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  • Zaid Omar Abdulla Al-Hyassat

    (Business and Economic Department, Girne American University, 99428 Kyrenia, Turkey)

  • Matina Ghasemi

    (Business and Economic Department, Girne American University, 99428 Kyrenia, Turkey)

Abstract

This study examines how Business Intelligence (BI) capabilities influence environmental performance (EP) in manufacturaing supply chains, with a focus on the mediating roles of Green Supply Chain Management (GSCM) and Supply Chain Integration (SCI) and the moderating role of Blockchain Integration (BCI). Addressing a critical research gap in digital sustainability, particularly in emerging markets, this study integrates the Resource-Based View (RBV) theory, Natural Resource-Based View (NRBV) theory, and Dynamic Capabilities View (DCV) theory to develop a theoretically grounded framework. Data were collected via a cross-sectional survey of 231 managers in 65 firms in Jordan and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Findings reveal that while BI does not directly enhance EP, it significantly improves GSCM and SCI, which in turn mediate its influence on EP. GSCM fully mediates this relationship, while SCI provides partial mediation. BCI did not demonstrate a significant moderating effect. These results suggest that BI must be embedded within green and integrative operational systems to drive sustainability outcomes. This study contributes novel insights into how digital capabilities translate into environmental gains in underrepresented contexts and provides actionable guidance for firms and policymakers aiming to align digital transformation with environmental objectives.

Suggested Citation

  • Zaid Omar Abdulla Al-Hyassat & Matina Ghasemi, 2025. "Business Intelligence and Environmental Sustainability: Evidence from Jordan on the Strategic Role of Green and Integrated Supply Practices," Sustainability, MDPI, vol. 17(16), pages 1-22, August.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7313-:d:1723436
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