Ujwal Kayande

Ujwal Kayande is a Professor and Inaugural Director of the Institute for Digital Innovation & AI (IDIA) at Melbourne Business School.

Ujwal previously founded the Centre for Business Analytics at MBS and was its Director from 2014-2021. During 2022-2024, Ujwal was the Dean of the Beedie School of Business at Simon Fraser University, Canada. He has also served as a permanent or visiting faculty at Penn State University, University of Mannheim, ESSEC, Indian School of Business, the Wharton School, UNSW, and the Australian National University.

Ujwal teaches Digital Product Management, AI for Business, Marketing Strategy, and Data for Decision-Making in MBA and Executive Education programs. His research has been published in leading international journals such as the Journal of Marketing Research, Marketing Science, Information Systems Research, International Journal of Research in Marketing, and the Journal of Retailing. He has received many teaching and research awards, including multiple MBS Teaching Excellence Awards, the Don Lehmann Award from the American Marketing Association, the IJRM Best Paper Award from the European Marketing Academy, and the Distinguished Researcher Award from the Australia-NZ Marketing Academy. Ujwal has also been recognized globally as an Academic Leader in Data Analytics by the Chief Data Officer (CDO) magazine.

He currently serves as an Advisor to several companies including L'Oréal, BrandComms.ai, Zetaris, T2 Tea, Lauretta.io, among others, and is on the Board of Tech Futures Australia, a leading not-for-profit in Australia that helps schoolchildren develop tech skills.

Ujwal has a PhD in Quantitative Marketing from the University of Alberta, as well as an MBA and Bachelor of Science in Mathematics and Electronics. In 2023, he completed the Institute for Corporate Directors/Rotman (University of Toronto) Directors Education Program.

Most Notable Research

‘From academic research to marketing practice: exploring the marketing science value chain’, Roberts, JH, Kayande, U & Stremersch, S, International Journal of Research in Marketing, vol. 31, no. 2, June 2014, pp. 127–140.

‘The seeds of dissolution: discrepancy and incoherence in buyer-supplier exchange’, Wang, Q, Kayande, U & Jap, S, Marketing Science, vol. 29, no. 6, November 2010, pp. 1109–1124.

‘How incorporating feedback mechanisms in a DSS affects DSS evaluation’, Kayande, U, De Bruyn, A, Lilien, GL, Rangaswamy, A & van Bruggen, G, Information Systems Research, vol. 20, no. 4, December 2009, pp. 527–546.

‘Mapping the bounds of incoherence: how far can you go and how much will it hurt your brand?’ Kayande, U, Roberts, JH, Lilien, GL & Fong, DKH, Marketing Science, vol. 26, no. 4, July 2007, pp. 504–513.

‘Reliability assessment and optimization of marketing measurement’, Finn, A & Kayande, U, Journal of Marketing Research, vol. 34, no. 2, July 1997, pp. 262–275.

Significant Awards

Distinguished Service Award, 2021, Melbourne Business School.

Master of Business Analytics Teaching Excellence Award, 2015 and 2017, Melbourne Business School.

Outstanding Reviewer Award, 2017, Journal of Marketing, American Marketing Association.

EMAC-IJRM Best Paper Award, 2015, European Marketing Academy.

Overall Best Paper Award, 2015, Australian-New Zealand Marketing Academy Conference, Sydney.

ERIM Top Article Award, 2015, Erasmus Research Institute of Management.

Smeal Award for MBA Teaching Excellence, 2010, Pennsylvania State University.

Distinguished Researcher Award, 2000, Australia-NZ Marketing Academy.

Donald Lehmann Award, 1998, American Marketing Association.