A machine learning framework for exploring the relationship between supply chain management best practices and agility, risk management, and performance
This study provides a comprehensive analysis of supply chain management practices based on survey responses from a sample of enterprises. Through descriptive statistics, hypothesis testing, predictive modeling, advanced analytics techniques such as classification, clustering, and association ru...
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Main Authors: | Tyler Ward, Sam Khoury, Selva Staub, Kouroush Jenab |
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Format: | Article |
Language: | English |
Published: |
Growing Science
2025-01-01
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Series: | Management Science Letters |
Online Access: | http://www.growingscience.com/msl/Vol15/msl_2024_29.pdf |
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