Ahmed Doha
Associate Professor, Supply Chain Management and Business Analytics
- PhD Operations Management and Information Systems (York University); MSc Electrical and Computer Engineering (Queens University); BSc Electrical and Computer Engineering (Mansoura University)
- 5036 Nicol, Carleton University
- 1125 Colonel By Drive, Ottawa, ON, K1S 5B6
- Email Ahmed Doha
- 613-520-2600 ext 1909
Dr. Ahmed Doha is an Associate Professor of Supply Chain Management and Business Analytics at the Sprott School of Business, Carleton University. His research examines how artificial intelligence is reshaping the way businesses create and capture value — and builds the systems that put those ideas to work. Trained first as an electrical and computer engineer, with industry experience at Nortel Networks and Lucent Technologies before earning his PhD in Operations Management and Information Systems at York University, he approaches management questions from solid technical ground: he designs, develops, and deploys the AI systems his empirical work requires rather than only theorizing about them. His research has been supported by SSHRC, NSERC, CANARIE, and industry partners.
Dr. Doha’s scholarship advances theory across supply chain management, e-commerce, recommendation systems, business model innovation, and technology and innovation management — and, increasingly, the science of science: how research knowledge itself is produced and consumed. Methodologically, he works at the frontier of applied artificial intelligence and large language models, data science and analytics at the scale of millions of documents and billions of data points, graph and network methods, empirical quantitative methods, field experimentation, and design-science action research. Much of this work yields working software — AI-driven analytics platforms and collaborative e-commerce systems that operationalize his theoretical contributions and serve as the empirical foundation for his studies.
His current interests include the application of AI agents and robotics to productivity, business analytics, and managerial decision-making; the design of domain-specialized “Expert” AI agents that act as reliable research and business assistants; science-of-science questions on the production and consumption of knowledge, including modeling the trajectories of breakthrough research; business model innovation and value creation in AI and e-commerce, including generative-AI marketplaces that help smaller firms compete; and the design of supply chains for an AI-dominated era.
Awards and Honours
- Ranked 1st in Canada — 2025 Social Sciences and Humanities Research Council (SSHRC) Insight Grant competition, Business and Management Committee (Committee B, large grants), for the project “Empowering Canadian SMEs to Compete with E-Commerce Giants”
- Best Paper Proceedings for “The Dynamics between Imitation and Innovation within the Firm,” Technology and Innovation Management Division, Academy of Management
- Alexander Graham Bell Canada Graduate Scholarship, Natural Sciences and Engineering Research Council (NSERC)