Joseph Johnson

Dr. Joseph Johnson is Associate Professor of Marketing at the University of Miami and member of the AI and Big Data Center at UM’s Institute for Data Sciences. At UM he teaches Marketing Analytics, New Product Development, Strategic Brand Management and a doctoral seminar on quantitative methods for marketing management. His current research focuses on the use of artificial intelligence and textmining tools as a decision aid for managers. He has created and collaborated in the development of:

• Deep learning algorithms for advertising design and testing
• Brand management tools using textmining
• Customer satisfaction and service quality measurement tools using textmining
• Dynamic optimization methods for retail promotions
• Media planning tools for big Pharma
• Digital media analytics for non-profit organizations
• Clinic scheduling model for UM’s clinics
• Risk models for predicting post-surgery health outcomes

His research has appeared in leading journals such as the Journal of Consumer Research, Marketing Science, Journal of Marketing, Journal of Retailing, Journal of the Academy of Marketing Science, Journal of International Marketing, Journal of Optimization Theory and Applications and IEEE Proceedings of the International Conference of Machine Learning Applications. His paper on market entry strategies into India and China won the Paul Root Best Paper Award from the Journal of Marketing in 2008. His research on financial markets has been featured in Financial Times of India, MSNBC and Kiplinger’s Personal Finance. He has appeared on the TV news show Nightly Business Report to discuss his research on how consumer decision making leads to financial bubbles. His co-authored paper with Shirin and Sanjay Razdan won the best paper award at the World Conference of Endourology in 2014. He has given invited presentations on his work at Cambridge University, Harvard University, University of Florida, and the Wharton School of Business. In 2017, his students voted him the Research Mentor of the Year for his guidance of their research projects.

He has thirty-two years of experience, divided between academia and industry, in computerization and empirical models for manufacturing, supply chain and marketing. In India, he worked at HINDUSTAN PETROLEUM where he developed rule based algorithms for optimal gas station locations and layout design for LPG filling stations. Later with TATA STEEL he led the team that designed and implemented computerized systems that integrated demand forecasting and distribution logistics for TATA STEEL’s eastern India operations. His work earned him TATA STEEL’s award for the best TOTAL QUALITY project in 1995. In the Middle East he worked with SSB, Oman where he developed pricing and promotion response models for Toyota’s auto line up. In the US, he has worked on projects with Affinova, Axalta, Cheapoair, Coflow Jet, Dell, Eli-Lilly, eMpulse, Royal Caribbean, Ocean Reef Club, NuPhoton, Proton Data Security, Perry Ellis, Ryder Transportation, Power Finance Credit Union, SAS, UM-Health Universal Fox Studios and Ventas.