John C. Yi, Ph.D.

Associate Professor
Specialization: Business Analytics and Decision Sciences
Office: 342A Mandeville Hall
Phone: (610) 660-2238
Fax: (610) 660-1229

Dr. Yi has over 10 years of industry experience from Sanofi-Aventis, Johnson & Johnson, and GEC.  He has extensive theorical and applied research experience in various complex analytical projects including sales and marketing resource optimization, new and in-line sales forecasting, multi-level strategic decision planning, sales operations optimization, marketing mix optimization, and manufacturing process improvement.


  • Ph.D. University of Pennsylvania, 2001
  • M.S. University of California at Berkeley, 1994
  • B.S. Rutgers University, 1993

Courses Taught

  • The Art of Decision Making (DSS 150)
  • Business Statistics (DSS 210)
  • Business Analytics (DSS 220)
  • Business Intelligence & Analytics Concepts & Practices (DSS 315)
  • Business Statistics - Tools with Excel (DSS 505)
  • Business Analytics for MBA (DSS 560)
  • Business Statistics for EMBA (DSS 572)
  • Business Intelligence (DSS 584)
  • Sales Forecasting (DSS593)
  • Predictive Analytics (DSS680)


Selected Publications

  • Early Adoption of Innovative Analytical Approach and Its Impact on Organizational Analytics Maturity and Sustainability: A Longitudinal Study from a U.S. Pharmaceutical Company (2016). Sustainability, Vol 8, Issue 8, 808. (with S. Kim)

  • Physician Prescribing Behavior Study to Improve Sales Operations in New Prescription Drug Launch (2015), Journal of Supply Chain and Operations Management, Vol 13, Issue 1, pp 1-11. (with E. Rhee)

  • Markdown optimization at multiple stores (2015), IIE Transactions, Vol. 47, Issue 1, pp 84-108. (with M. Chen, Z.L. Chen, G. Pundoor, S. Acharya)

  • An analysis of the use of predictive modeling with business intelligence systems for exploration of precious metals using biogeochemical data (2013), International Journal of Business Intelligence Research, Vol. 4, Issue 2, pp 39-53. (with T. Woolman)

  • Predictive analytics for students’ classroom performance and its impact on classroom operations (2012), Journal of Supply Chain and Operations Management, Vol. 10, Issue 2, pp 65-75.

  • Analyzing the effectiveness of pharmaceutical marketing using business intelligence methods (2012), International Journal of Business Intelligence Research, Vol. 3, Issue 3, pp 1-15. (with E. Ricks)

  • An exploratory study to improve sales operations when selling multiple prescription drugs (2011), California Journal of Operations Management, Vol. 9, Issue 1, pp 43-57. (with M. Zhou, T. Park)
  • Utilizing Business Intelligence in College Admissions: A Strategic Approach (2011), International Journal of Business Intelligence Research, Vol. 2, Issue 1, pp 1-15. (with D. Amburgey)
  • Knowledge-based approach to improving detailing plan in multiple product situations using PDE weights (2011), Expert Systems with Applications, Vol. 38, pp 3835-3843.
  • Business plus Intelligence plus Technology equals Business Intelligence (2010), International Journal of Business Intelligence Research, Vol. 1, Issue 1, pp 41-53. (with I. Yermish, V. Miori, R. Malhotra, R. Klimberg)
  • Cultural influences on young adult consumers’ attraction to media personalities: An examination of Americans and Koreans (2009), Journal of Global Business Issue, Vol. 3, Issue 1, pp 33-39. (with T. Louie)
  • Commonalities and differences between service and manufacturing supply chains: Combining operations management studies with supply chain management (2009), California Journal of Operations Management, Vol. 7, Issue 1, pp 45-57. (with M. Zhou, T. Park)
  • Knowledge-based approach to improving micromarketing decisions in a data-challenged environment (2008), Expert Systems with Applications, Vol. 35, Issue 3, pp 1379-1385.
  • An expert system to carryover effect derivation for pharmaceutical sales detailing optimization (2008), Expert Systems with Applications, Vol. 34, Issue 3, pp 1742-1753.
  • An exploration study of leveraging domain knowledge to enhance sales operations in a data-challenged environment (2008), California Journal of Operations Management, Vol. 6, Issue 1, pp 8-15.
  • An expert system to physician-detailing planning (2003), Expert Systems with Applications, Vol. 25, Issue 4, pp 533-544. (with G. Anandalingam, L. Sorrell)

Grants and Awards

  • Society of Open Innovation, Technology, Market, & Complexity - Distinguished Paper Award, 2016
  • 2nd Annual “Saint Joseph’s University - Last Lecture” hosted by Delta Sigma Pi (Business Fraternity) – Last Lecturer voted by the students, 2015
  • International Conference of Supply Chain & Technology Innovation - Distinguished Paper Award, 2014
  • Saint Joseph’s University Michael J. Morris Grant for Faculty Research, 2012
  • Faculty Induction into Alpha Iota Delta, the International Honor Society of Decision Sciences and Information Systems, 2012
  • Saint Joseph’s University Faculty Merit Award in Research Excellence, 2010
  • Saint Joseph’s University Summer Research Grant, 2009 & 2010
  • San Jose State University - Decision Sciences Professor of the Year voted by graduating seniors, 2008


Dr. Yi’s research interests are in providing solutions to complex pharmaceutical and healthcare-focused business problems leveraging various advanced analytical methods including operations research, data mining, predictive analytics, and knowledge management