Business Administration, Supply Chain Management
Dr. Jamie Daigle serves as an Assistant Professor of Supply Chain Management at Texas A&M University-Texarkana. Specializing in the integration of cutting-edge technologies such as A.I., neural networks, and blockchain into supply chain curricula, Dr. Daigle plays a pivotal role in shaping the future of SCM education. In addition to his teaching duties, she is actively involved in research, exploring the intersections of technology, leadership, and business.
Prior to her tenure at A&M-Texarkana, Dr. Daigle amassed a wealth of experience in diverse roles. Since joining Texas A&M University-Texarkana, she's risen to the position of Assistant Professor of Supply Chain Management and serves as the Supply Chain Management Program Coordinator.
Dr. Daigle proudly earned her Doctorate of Business Administration with a focus on Neural Networks and University Supply Chain Management programs from The University of Liverpool. She also holds a Postgraduate Program in Data Science and Business Analytics and Artificial Intelligence and Machine Learning from the University of Texas-Austin.
Dr. Daigle’s research and teachings predominantly delve into supply chain management, artificial intelligence's impact on supply chains, organizational culture, and leadership dynamics. She's particularly interested in the transformative potential of technology within these domains.
Dr. Daigle is passionate about sharing her expertise with her students. Some of her favorite classes encompass artificial intelligence in supply chains, organizational dynamics, and leadership in business contexts. Her dedication to teaching is evident through her role in shaping the Supply Chain Management curriculum at A&M-Texarkana.
Dr. Daigle's scholarly pursuits span various areas, including the study of artificial intelligence's role in modern supply chains, the intricate relationship between strong organizational cultures and leadership, and exploring cutting-edge technologies in business contexts.
2022 | Daigle, J., “Can global supply chain disasters be solved by artificial intelligence and blockchain technology? Texarkana Gazette
2021 | Daigle, J., “Don’t tell us the sky is the limit when we have people going to Mars.” Texarkana Gazette
2021 | Daigle, J. (2021) “Rethinking University supply chain management programs for economic development: An action research approach” Doctor of Business Administration Dissertation, University of Liverpool.
2020 | Matthews, B., Daigle J., Cooper J. (2019) “A Causative Effect of Motivation Among Relational Dyads: A Look At What Can Motivate Leaders To Use Motivation” European Journal of Management and Business Economics
2021 | Faculty Author Award, Texas A&M University-Texarkana
2020 | Teaching in Excellence Award, National Society of Leadership and Success, Texas A&M University-Texarkana
2019 | Fabulous 40 and under, Four States Living Magazine
2017-2018 | Teaching Excellence Award (non- tenure category recipient), Texas A&M University- Texarkana
2017-2018 | Experiential Learning Teaching Award nominee, Texas A&M University- Texarkana
Dr. Daigle is an active member of several professional bodies and often takes on roles that serve both the academic and local communities. Her involvement with the Red River Air Cargo Association stands as a testament to her commitment to industry advancements, as she currently presides as chair.
