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Joseph  Johnson

Joseph Johnson

Associate Professor, Marketing


Dr. Joseph Johnson is Associate Professor of Marketing at the University of Miami and member of the Big Data Center at UM’s Center for Computational 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
  • Artificial intelligence algorithms for designing new products
  • 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
  • Credit portfolio models for banks
  • 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 and 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.

Research Interests

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.

Featured Publications

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

    Survival of the Fastest: Using Sequential Pattern Analysis to Measure Efficiency of Complex Organizational Processes.” Joseph Johnson, Raju Parakkal, Sherry Bartz, Gang Ren, and Mitsunori Ogihara, IEEE Proceedings for Data Mining, Nov. 2019.

    Individualized No-Show Predictions: Effect on Clinic Overbooking and Appointment Reminders.” Yutian Li, Sammi Yu Tang, Joseph Johnson, and David A. Lubarsky, Production and Operations Management, Aug. 2019.

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

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

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

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

    “Persistence and Learning: Success Factors of Taiwanese Firms in International Markets,” (with Eden Yin and Hueiting Tsai), Journal of International Marketing, Vol.17, No. 3, (Sep. 2009), pp.39-54.  

    “Beyond Conjoint: Advances in Preference Measurement,” (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), Marketing Letters. 2008, vol. 19, issue 3, pages 337-35.

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

    “The Value of Quality,” (with Gerard J. Tellis), Marketing Science, Vol. 26. No. 6, Nov-Dec 2007, pp. 758-773.

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

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

    “Statistical Measures For the QR Algorithm,” (with Robert E. Kalaba and H. Natsuyama), Journal of Optimization Theory and Applications, Vol.127, No.3, Dec.2005. 

    “Blowing Bubbles: Heuristics and Biases in the Run-up of Stock Prices,” (with Gerard J. Tellis), Journal of the Academy of Marketing Science, Vol. 33, No.4, Fall, 2005. 

    “Losers, Winners and Biased Trades (with Gerard Tellis and Deborah Macinnis), Journal of Consumer Research. Vol. 32, No. 2, Sep, 2005.  

    “Interactive Profiler: An Online Data Visualizing Application for Educational and Marketing Databases,” (with Edward H. Ip and Philip Leung), Journal of Education and Behavioral Statistics, Vol.29, No.2, Summer, 2004. 

    “Statistical Measures for the Alpha-Q Algorithm,” (with Robert E. Kalaba) Journal of Optimization Theory and Applications, Vol. 117, No.3, June, 2003. 

Teaching and Professional Experience

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


  • Marketing analytics
  • New product development
  • Strategic brand management
  • Marketing strategy


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

Honors and Awards

  • 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
Joseph  Johnson


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