Business Intelligence Capabilities and AI-Driven Logistics Innovation: The Roles of Decision Support and Supply Chain Visibility

Amro Alzghoul; Amineh A. Khaddam; Hani J. Irtaimeh; Ahmad Ali

doi:10.32479/irmm.24208

Authors

Amro Alzghoul Faculty of Business, Amman Arab University, Amman, Jordan,
Amineh A. Khaddam Faculty of Business, Amman Arab University, Amman, Jordan,
Hani J. Irtaimeh Department of Management and Police, Faculty of Academic Affairs, Police Academy, Al-Rayyan, Qatar,
Ahmad Ali Department of Administrative and Financial Sciences, Faculty of Technical Education, Al al-Bayt University, Mafraq, Jordan.

DOI:

https://doi.org/10.32479/irmm.24208

Keywords:

Business Intelligence Capabilities, AI-Enabled Logistics Innovation, Decision Support, Supply Chain Visibility, Logistics Firms, Serial Mediation

Abstract

This study explores the effects of business intelligence capabilities on AI-driven logistics innovation by conceptualizing two serial mediation mechanisms: decision support and supply chain visibility. Based on the dynamic capability's perspective and resource-based view, the study has the following argument: BI capabilities will enable logistics firms to gather, integrate, analyze, and convert the data from operations to useful knowledge, which helps in making intelligent decisions. A quantitative, explanatory and cross-sectional research design was used. A structured questionnaire was administered to 327 employees/managers in logistics-related companies to gather data. The data was statistically analyzed by SmartPLS software using structural equation modeling. The results indicated that the business intelligence capabilities have a positive impact on decision support as well as AI-powered logistics innovation. Results show that decision support has a positive influence on supply chain visibility, and that supply chain visibility has a positive influence on AI-enabled logistics innovation. Further results demonstrated that BI capabilities and AI-enabled logistics innovation is serially mediated by decision support and supply chain visibility. The research enlightens the literature by detailing how data-driven functionalities can be turned into AI-powered logistics innovation through enhanced decision-making capabilities and supply chain transparency.