Bakhtiar Ostadi

A hybrid machine learning framework for supplier risk prediction and segmentation: an automotive supply chain case study

Purpose This study aims to develop a hybrid data-driven framework for supplier risk assessment in automotive supply chains. It seeks to integrate predictive modeling with clustering techniques to proactively identify and categorize supplier risks, enabling enhanced operational st...

Entrepreneurial enablers of agile digital transformation in Iranian SMEs: a hybraid Delphi–BWM approach

Purpose Agile digital transformation (ADT) is essential for small- and medium-sized enterprise (SME) competitiveness, particularly in emerging economies facing institutional fragility. In Iran, sanctions, limited access to advanced technologies and market volatility intensify the...