Next Lecture: Samuel Fosso Wamba

Thursday, April 21, 2022, 5-6:30 pm GMT / 10-11:30 am PDT

Exploring AI Capabilities in Operations Management: Going from a Bibliometric Analysis to Empirical Studies

Speaker:  Dr. Samuel Fosso Wamba Professor and Associate Dean of Research  Toulouse Business School, France

Artificial intelligence (AI) has been seen as the next productivity frontier for its high capability to transform almost all aspects of intra-and-inter-organizational operations across industries. Yet very few empirical studies have been conducted to assess the actual value of AI. This talk will first present some insights from a bibliometric analysis of 40,147 documents retrieved from the Web of Science database dealing with a “good AI society.”

This presentation will discuss some of the findings from a sample of recent empirical studies, including one study that investigates the impacts of AI assimilation on firm performance. This includes an exploration of the mediating effects of organizational and customer agility on the relationship between AI assimilation on firm performance, using a sample of 205 supply chain executives in the United States. The second study will look at the impacts of AI-enabled entrepreneurial capabilities on innovation and performance using a sample of 303 IT and business decision-makers in the United States. Finally, we will discuss some potential research opportunities related to AI-enabled operations management. 

About the presenter:
Samuel Fosso Wamba is the Associate Dean of Research at TBS Education, France. He is also a Distinguished Visiting Professor at The University of Johannesburg, South Africa, and at the UCSI Graduate Business School, UCSI University, Malaysia. He earned his PhD in industrial engineering at the Polytechnic School of Montreal, Canada.

His current research focuses on the business value of information technology, inter-organizational systems adoption, use and impacts, supply chain management, electronic commerce, blockchain, artificial intelligence for business, social media, business analytics, big data, and open data. He leads the Center of Excellence in Artificial Intelligence and Business Analytics at TBS Education.

He is among the 2% of the most influential scholars globally based on the Mendeley database that includes 100,000 top scientists for 2020 and 2021. He ranks in ClarivateTMs 1% most cited scholars in the world for 2020 and 2021 and in CDO Magazine’s Leading Academic Data Leaders 2021. Based on the Research.com 2021 ranking, he is France’s third top business and management scientist. 

Previous Lectures

Friday, February 25, 2022

Tobias Schoenherr, PhD
Michigan State University, Broad College of Business

Speaker Bio
Tobias Schoenherr is the Hoagland-Metzler Endowed Professor in Purchasing and Supply Management at the Broad College of Business, Michigan State University. Recently ranked to be among the Top 10 thought leaders worldwide in supply chain management research, he is an award-winning scholar and teacher focusing on the area of sourcing, with a particular interest in buyer-supplier relationships. Having obtained his PhD from Indiana University in Operations Management and Decision Sciences, he has been teaching at numerous universities, both domestically and internationally.

He has published more than 75 peer-reviewed articles that appeared in outlets such as Management ScienceProduction and Operations ManagementJournal of Operations ManagementJournal of Marketing ResearchDecision SciencesJournal of Supply Chain Management, and Journal of Business Logistics. He is serving as the Co-Editor-in-Chief for the International Journal of Operations and Production Management, and as an Associate Editor for the Journal of Operations ManagementDecision Sciences, and the Journal of Purchasing and Supply Management.

Thursday, December 2, 2021

Mark Pagell, PhD, Chair in Global Leadership
Professor of Sustainable Supply Chain Management, University College Dublin
Co-Editor-in-Chief The Journal of Supply Chain Management 

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Friday, October 1, 2021

Francis K. Ando-Baidoo, PhD
Associate Professor of Information Systems, University of Texas Rio Grande Valley

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