Enhancing Supply Chain Management in Small-Medium Enterprises through Business Intelligence: A Conceptual Model Approach

Abstract

Abstract In the contemporary business milieu, small and medium enterprises (SMEs) encounter distinct challenges in navigating the complexities of supply chain management (SCM) owing to resource constraints and operational limitations. This study proposes a conceptual model to bolster SCM efficiency within SMEs through the strategic application of business intelligence (BI). Adopting a qualitative and exploratory approach, the research delves into the experiences and insights of experts, managers, and information technology specialists entrenched in the SME landscape. Utilizing judgmental sampling, data saturation was achieved through semi-structured interviews, which were subsequently analyzed via thematic analysis. The findings unveil a comprehensive framework comprising 98 initial themes distilled into 55 basic themes, 15 organizing themes, and 4 global themes encompassing supply network analytics, business performance analytics, optimal path management, and retention and loyalty analytics. By embracing BI and integrating the proposed conceptual model, SMEs are poised to unlock novel growth trajectories and fortify their competitive standing in the contemporary business ecosystem.