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原文传递 The Value of Data-driven Category Management: A Case for Teaching Data Analytics to Purchasing and Supply Management Students

题名：	The Value of Data-driven Category Management: A Case for Teaching Data Analytics to Purchasing and Supply Management Students
正文语种：	eng
作者：	Andrea S. Patrucco;Tobias Schoenherr;Antonella Moretto
作者单位：	Florida International University - College of Business;Michigan State University - Eli Broad College of Business;Politecnico di Milano - School of Management
关键词：	data analytics; purchasing and supply management; analytics skills; teaching case
摘要：	As companies look to differentiate themselves with the help of their suppliers, the need for robust and sophisticated purchasing and supply management (PSM) processes that allow for informed decision-making becomes increasingly important. These processes often rely on sophisticated data analytics to inform the design of a company's category management strategy, such as its supply network design, its supplier relationship management, and its supplier performance management. Therefore, data analytics skills are crucial for PSM professionals. To foster these skills, we developed an innovative approach for teaching students how to use data analytics tools and techniques in PSM through the use of a teaching case called "Savingtools." This case, developed in collaboration with a company undergoing a PSM transformation, illustrates the value of data-driven category management in PSM. The case further demonstrates the principles and tools related to PSM data management, spend analysis, and classification, and allows for in-depth data analysis, including visualizations. Our approach has been shown to effectively enhance student learning and comprehension, and we believe that it prepares future supply chain leaders while advancing PSM pedagogy.
出版年：	2023
期刊名称：	Transportation Journal
卷：	62
期：	4
页码：	427-457