Paul Burke

Distinguished Visiting Scholar

The entry appointment for invited academics holding a special tenure with us. This hits the exact note of being formally invited to share specific, high-impact research.

About

Biography: Dr. Paul Burke Professional Profile Dr. Paul Burke is a Professor of Marketing and the Deputy Director of the Centre for Business Intelligence and Data Analytics (BIDA) located within the UTS Business School. He is a leading expert in the applied and theoretical aspects of choice modelling, experimental design, and consumer behaviour. As a highly collaborative transdisciplinary researcher, Dr. Burke’s work spans a diverse array of decision-making contexts. His research has been applied to branding, corporate social responsibility, education, vaccination and health, labour market barriers, and citizenship for persons with a disability—and has even examined how bees make choices. Research and Academic Publications Dr. Burke is an expert in multi-disciplinary and trans-disciplinary research, frequently publishing in top international journals. His work has appeared in prestigious Financial Times (FT50) and A* ranked journals, including: Marketing & Business Ethics: Journal of Marketing Research, International Journal of Research in Marketing, Journal of Product Innovation Management, European Journal of Marketing (where he currently serves as Regional Editor for the Asia Pacific), and the Journal of Business Ethics. Operations, Policy & Education: Research Policy, Journal of Operations Management, Transportation Research Part A: Policy and Practice, Educational Researcher, Teaching and Teacher Education, and Computers & Education. Health & Social Sciences: Appetite, Vaccine, and Social Science Research. Grants, Consulting, and Industry Impact As a chief investigator, Dr. Burke has been the recipient of several research grants totaling more than $4.3 million. This includes funding from the Australian Research Council (ARC) through prestigious ARC DECRA, ARC Discovery, and two ARC Linkage grants. His insights and advancements in statistical techniques have been heavily utilized across corporate, government, and non-profit sectors: Corporate Sector: Consulted for major global brands such as Westpac, Toyota, Motorola, and Bose. Government & Defence: Collaborated with the Australian Defence Force, the Australian Academy of Science, and various New South Wales (NSW) departments, including the Department of Premier and Cabinet, Primary Industries, Fisheries, and Education. Not-for-Profit & Culture: Partnered with the Australian War Memorial, as well as the Australian, Powerhouse, Maritime, National, and Melbourne museums to model factors impacting visitor attendance. Specialized Projects: Investigated teacher retention and attrition alongside the Association of Independent Schools of NSW; analyzed interactive whiteboard utilization with Electroboard; and worked with Grain Growers to evaluate the wheat characteristics most valuable to international millers. Teaching Excellence and Authorship Dr. Burke is an outstanding contributor to university teaching and learning, particularly noted for his success in coordinating large classes. His pedagogical excellence has earned him two institutional awards from UTS, alongside national recognition through a Carrick Institute Citation and a second citation from the Australian Learning and Teaching Council (ALTC). He is also a prominent textbook co-author, contributing to Business Analytics & Statistics and Australasian Business Statistics (with Ken Black and others), both of which are leading texts in the market. Background and Early Career Prior to his tenure at UTS, Dr. Burke was a full-time lecturer in Marketing at the University of Sydney. His diverse professional background also includes positions with the CSIRO, as a research officer at the internet research firm Memetrics, and as the marketing manager for the Sydney University Sports and Aquatic Centre. He holds a Bachelor of Economics (First Class Honours in Marketing) from the University of Sydney. He was awarded the ANZMAC Best Paper in Track Award for his PhD dissertation research, which focused on the effects of ambiguous and meaningless product features.

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