Ahmed Doha

Dr. Doha’s research is broadly interested in business model innovation for emerging technologies including artificial intelligence and the Internet of Things. His current research focuses on applied artificial intelligence for business decision making in supply chains. He is particularly interested in business model innovation for applications of machine learning, natural language processing, and computer vision in areas that include e-commerce, crowdsourcing, symantec ontologies, product recommendations, and sentiment analysis to aid supply chain decision-making. Dr. Doha’s research employs mixed methods embedded in a design research methodology framework. As such, his research typically follows the full cycle of the design research methodology starting with business problem identification, conceptualizing a solution, laying design principles, software development and deployment, and performance evaluation through field experimentation.

Dr. Doha is also interested in research on technology and innovation management, with particular interest in how firms develop their innovation and technology capabilities. His Ph.D. dissertation studied the dynamics between imitation and innovation within firms’ R&D activities in the computer, semiconductor, and pharmaceutical industries in the United States. Dr. Doha’s research has been funded by Canada’s Natural Sciences and Engineering Research Council (NSERC) and Social Sciences and Humanities Research Council (SSHRC) as well as industrial partners. Dr. Doha has a Ph.D. degree in Operations Management and Information Systems with a minor in Strategy from Schulich School of Business, York University. He also has an M.Sc. degree in Electrical and Computer Engineering from Queens University. He is a recipient of NSERC’s Alexander Graham Bell Canada Graduate Scholarship for Doctoral Studies.