Thursday, April 21, 2022
Exploring AI Capabilities in Operations Management: Going from a Bibliometric Analysis to Empirical Studies
Samuel Fosso Wamba, associate dean of research at Toulouse Business School in France, spoke in April about artificial intelligence as the next productivity frontier. He presented some insights from a bibliometric analysis of 40,147 documents retrieved from the Web of Science database dealing with a “good AI society.”
Wamba discussed findings from a recent study on the impacts of AI assimilation on firm performance and another study on the impacts of AI-enabled entrepreneurial capabilities on innovation and performance.
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 discussed 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 included 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. A second study looked 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.
Wamba closed his lecture by presenting 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.