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Shubham Singh
Assistant Professor of Operations Mgmt and Bus Analytics
Department of Management and Marketing
Shubham Singh
Assistant Professor of Operations Mgmt and Bus Analytics
Department of Management and Marketing
Shubham Singh is an Assistant Professor of Operations Management and Business Analytics at Purdue University Fort Wayne. He completed his PhD from the College of Business and Innovation, The University of Toledo in Manufacturing and Technology Management with a minor in Operations Management, in 2019. The title of his dissertation is “Building Advanced Business Analytics Capability for Effective Performance Outcome: An Integrated Model and Empirical Validation.” Dr Singh has experience teaching at Purdue University Fort Wayne, University of Toledo, University of Minnesota Duluth and Cleveland State University in the subjects of business analytics and operations and supply chain management.
Dr Singh has an MBA in Management Information Systems and Sales Management from Miller College of Business, Ball State University. He has also been Certified in Production and Inventory Management (CPIM) by the Association of Supply Chain Management (ASCM, formerly APICS).
His research interests include effective onboarding of business analytics technology inside the company, personalization versus privacy paradox, use of business analytics to improve firm performance and effective drivers of business analytics assimilation inside the organization.
His teaching interest includes data mining, data analysis, management science, operations and supply chain management and strategic sourcing. In addition, he has published an article in Benchmarking: An International Journal about achieving risk resilience by incorporating big data analytics inside the organization.
Dr Singh has an MBA in Management Information Systems and Sales Management from Miller College of Business, Ball State University. He has also been Certified in Production and Inventory Management (CPIM) by the Association of Supply Chain Management (ASCM, formerly APICS).
His research interests include effective onboarding of business analytics technology inside the company, personalization versus privacy paradox, use of business analytics to improve firm performance and effective drivers of business analytics assimilation inside the organization.
His teaching interest includes data mining, data analysis, management science, operations and supply chain management and strategic sourcing. In addition, he has published an article in Benchmarking: An International Journal about achieving risk resilience by incorporating big data analytics inside the organization.