Joseph Johnson

Assoc. Professor

(305) 284-1379
Locator Code:



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 MarketingJournal 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.



2001Ph.D. Marketing, University of Southern California
1990MBA Marketing, Finance, Indian Institute of Management
1985B.ChE. , Jadavpur University

LIST OF SPECIALTIES: Marketing analytics | New product development | Strategic brand management | Marketing strategy

LIST OF SPECIALTIES: Marketing analytics | New product development | Strategic brand management | Marketing strategy

Professional Experience

2001 - Associate Professor, Marketing, Miami Herbert Business School
2000 - 2000Lecturer, University of Southern California
1995 - 1996Senior Executive, Toyota Division, SSB, Muscat
1990 - 1995Deputy Manager, International Trade Division, Tata Iron & Steel Co
1989 - 1989Summer Intern, Banque National De Paris
1985 - 1988Assistant Manager, Automotive and Lube Oils, Hindustan Petroleum

Honors & Acknowledgements

Best Conference Paper: World Congress of Endourology, 2014
Provost Research Award, University of Miami, 2012
CIBER Research Support, University of Miami School of Business Administration, 2011
General Research Support, University of Miami School of Business Administration, 2003, 2006, 2010, 2011
James W. McLamore Research award, University of Miami School of Business Administration, 2002, 2005, 2006, 2007, 2010
Winner, Best Paper Award, Journal of Marketing, 2009
Marketing Science Institute Research Grant, 2008

LIST OF SPECIALTIES: Marketing and big data analytics; marketing-finance interface; application of artificial intelligence techniques to marketing; deep learning for advertising design; text analytics; health care analytics; new product development and branding.


Joseph M. Johnson, Gerard J. Tellis, and Noah VanBergen Fooled by Success: How, Why, and When Disclosures Fail or Work in Mutual Fund Ads (Journal of Public Policy and Marketing. 2021). [Link]

Shaan Khosla, Leila Abdelrahman, Joseph Johnson, Mohammad Samarah, and Sanjoy K. Bhattacharya RegenX: an NLP recommendation engine for neuroregeneration topics over time (Annals of Eye Science. 2021). [Link]

Gang Ren, Joseph Johnson, Hyunhwan Lee, Mitsunori Ogihara Sequential Pattern Based Temporal Contour Representations for Content-Based Multimedia Timeline Analysis (2018).

Kate Smith and Jatinder Gupta (editors) Identifying High Value Customers: A Neural Network Application,” (with Edward Ip) in “Neural Networks in Business: Techniques and Applications (Idea Group Publishing, Hershey, PA 17033. 2002).

Measuring Brand Sentiment Using Emojis” with Sharat Dwibhasi and Goutam Chakraborty SAS Users Global Conference (April 2016).

With Gerard Tellis and Edward Ip To Whom, When, and How Much to Discount? A Constrained Optimization of Customized Temporal Discounts 361- 373 (89(4) Journal of Retailing. 2013).

With Eden Yin and Hueiting Tsai Persistence and Learning: Success Factors of Taiwanese Firms in International Markets 39-54 (17(3) Journal of International Marketing. Sep. 2009).

With Oded Netzer, Olivier Toubia, Eric T. Bradlow, Ely Dahan, Theodoros Evgeniou, Fred M. Feinberg, Eleanor M. Feit, Sam K. Hui, John C. Liechty, James B. Orlin, and Vithala R. Rao Beyond Conjoint: Advances in Preference Measurement 337-35 (19(3) Marketing Letters. Marketing Letters).

With Gerard J. Tellis Drivers of Success of Market Entry into Emerging Markets: The Case of China and India 1-13 (72 Journal of Marketing. May 2008).

With Gerard J. Tellis The Value of Quality 758-773 (26(6) Marketing Science. Nov-Dec 2007).

with Howard Marmorstein, John M. Charnes, and Dan Sarel Beyond Tax-Loss Harvesting: Maximizing Effective Returns by Accelerated Recognition of Long- term Gains 77-89(13) (25(1) Journal of Taxation of Investments. Fall 2007).

With Howard Marmorstein, John M. Charnes, and Dan Sarel Tax Loss Harvesting In Quarter 1? (Journal of Taxation of Investments. 2006 (Winter)).

With Robert E. Kalaba and H. Natsuyama Statistical Measures For the QR Algorithm (127(3) Journal of Optimization Theory and Applications. Dec. 2005).

With Gerard J. Tellis Blowing Bubbles: Heuristics and Biases in the Run-up of Stock Prices (33(4) Journal of the Academy of Marketing Science. Fall 2005).

With Gerard Tellis and Deborah Macinnis Losers, Winners and Biased Trades (32(2) Journal of Consumer Research. Sep 2005).

With Edward H. Ip and Philip Leung Interactive Profiler: An Online Data Visualizing Application for Educational and Marketing Databases (29(2) Journal of Education and Behavioral Statistics. Summer 2004).

With Robert E. Kalaba Statistical Measures for the Alpha-Q Algorithm (117(3) Journal of Optimization Theory and Applications. June 2003).