A Comprehensive framework for prioritizing alternative strategies in information management for micro, small, and medium enterprises (MSMEs) supply chain: a hybrid AHP-FUZZY TOPSIS approach
摘要
This empirical study systematically identifies and prioritizes alternative strategies for mitigating barriers to information management within the supply chain (SC) of micro, small, and medium enterprises (MSMEs). Integrating the Analytical Hierarchy Process (AHP) and fuzzy Technique for Order Performance by Similarity to Ideal Solution (TOPSIS), the research provides a comprehensive framework to discern, rank, and address barriers in SC information management for MSMEs. Through an empirical case study of an Indian MSME manufacturing organization, the framework is demonstrated as a systematic decision support tool for enhancing SC performance. The study highlights a targeted methodology for overcoming information management challenges, aiming to increase success rates within the MSME sector by offering a more accurate and systematic approach to SC information management.