Stephan Kudyba
Stephan Kudyba
Associate Professor of Business Analytics and MIS, MT School of Management
4006 Central Avenue Building (CAB)
About Me
Dr. Kudyba focuses on organizational efficiency and innovation through Analytics (BI and Data Mining), MIS and strategic management. He has published numerous books and articles involving Data Mining and MIS in B2B marketing, Digital Transformation, Data Products, Healthcare, Fintech, Supply Chain and others. He has over 15 years of private sector experience.
Education
Ph.D.; Rensselaer Polytechnic Institute; Economics; 1999
M.B.A.; Lehigh University; Management; 1991
B.S.; Siena College; Economics; 1985
M.B.A.; Lehigh University; Management; 1991
B.S.; Siena College; Economics; 1985
2024 Fall Courses
BDS 725 - INDEPENDENT RESEARCH I
MIS 245 - INTRO TO MNGMNT INFO SYST
MIS 245 - INTRO TO MNGMNT INFO SYST
Teaching Interests
Analytics: Data Mining (AI) and Business Intelligence
Healthcare Informatics
Strategic Management (MIS and Knowledge Management)
Digital Marketing and Digital transformation
Past Courses
FIN 624: FINANCIAL MANAGEMENT
MGMT 350: KNOWLEDGE MANAGEMENT
MGMT 350: KNOWLEGDE MANAGMENT
MGMT 635: DATA MINING AND ANALYSIS
MGMT 635: DATA MINING&ANAL FOR MNGRS
MGMT 635: DATA MINING&ANALYSIS FOR MANAGE
MGMT 650: KNOWLEDGE MANAGEMENT
MGMT 699: ST IN MANAGEMENT
MIS 245: INTRODUCTION TO MANAGEMENT INFORMATION SYSTEMS
MRKT 360: DIGITAL MARKETING
MRKT 360: INTERNET MARKETING
MRKT 430: MARKETING RESEARCH
MRKT 631: MARKETING RESEARCH
MRKT 645: INTERNET MARKETING STRATEGY
MGMT 350: KNOWLEDGE MANAGEMENT
MGMT 350: KNOWLEGDE MANAGMENT
MGMT 635: DATA MINING AND ANALYSIS
MGMT 635: DATA MINING&ANAL FOR MNGRS
MGMT 635: DATA MINING&ANALYSIS FOR MANAGE
MGMT 650: KNOWLEDGE MANAGEMENT
MGMT 699: ST IN MANAGEMENT
MIS 245: INTRODUCTION TO MANAGEMENT INFORMATION SYSTEMS
MRKT 360: DIGITAL MARKETING
MRKT 360: INTERNET MARKETING
MRKT 430: MARKETING RESEARCH
MRKT 631: MARKETING RESEARCH
MRKT 645: INTERNET MARKETING STRATEGY
Research Interests
Strategic Analytics (Data mining/BI and problem solving)
Healthcare Informatics
New technologies and operational transformation
Knowledge Management
Journal Article
Kudyba, Stephan P., & D'Cruz, Agnel (2023). Understanding Project Success Involving Analytic Based Decision Support in the Digital Era: A Focus on IC and Agile Project Management . Journal of Intellectual Capital/ Emerald Publishing,
Kudyba, Stephen P. (2023). Will Generative AI Disrupt your Company and your Need for Workers?. The European Business Review, 2 - 5.
Kudyba, Stephen P. (2022). What Companies Need to Know before Investing in AI. Harvard Business Review,
Kudyba, Stephen P., & D Cruz, Agnel (2021). Building a Better Dashboard. Harvard Business Review,
Kudyba, Stephen P., & Perry, Thad, & Getter, Andrew, & Steele, April (2021). Domain Knowledge, Digital Interactions, and Analytics: A Multifaceted Approach to Developing a Population Health Program. Population Health Management,
Kudyba, Stephen P. (2023). Will Generative AI Disrupt your Company and your Need for Workers?. The European Business Review, 2 - 5.
Kudyba, Stephen P. (2022). What Companies Need to Know before Investing in AI. Harvard Business Review,
Kudyba, Stephen P., & D Cruz, Agnel (2021). Building a Better Dashboard. Harvard Business Review,
Kudyba, Stephen P., & Perry, Thad, & Getter, Andrew, & Steele, April (2021). Domain Knowledge, Digital Interactions, and Analytics: A Multifaceted Approach to Developing a Population Health Program. Population Health Management,
SHOW MORE
Kudyba, Stephan P. (2020). COVID-19 and the Acceleration of Digital Transformation and the Future of Work. Information Systems Management, 37(4), 284-287.
Kudyba, Stephen P., & Fjermestad, Jerry L, & Davenport, Thomas H (2020). A research model for identifying factors that drive effective decision-making and the future of work. Journal of Intellectual Capital,
Kudyba, Stephen P. (2018). A hybrid analytic approach for understanding patient demand for mental health services. Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), 7(3),
Kudyba, Stephen P. (2018). AI and Digital Resources in Fintech: Creating an evolutionary analytic platform for “risk” estimation. The European Business Review (Sept/Oct), 63 -66.
Kudyba, Stephen P. (2018). Machine Learning Can Help B2B Firms Learn More About Their Customers. Harvard Business Review(January 2018),
Davenport, Thomas, & Kudyba, Stephan (2016). Designing and Developing Analytics Based Data Products. MIT Sloan Management Review, 58(1), 83 - 89.
Kudyba, Stephen P. (2014). A data mining approach for estimating patient demand for mental health services. Health Systems,
Kudyba, Stephen P., & Gregorio, Thomas (2010). Identifying factors that impact patient length of stay metrics for healthcare providers with advanced analytics. Health Informatics Journal, 16(4), 235-245.
Kudyba, Stephen P., & Fjermestad, Jerry L (2009). Data Mining and Call Center Platforms to Mitigate Account Outflows for Finance Companies. Journal of Management Systems, Vol. 21(Number 1, 2009), Pages 27-35.
Kudyba, Stephen P., & Lawrence, Kenneth D. (2008). Enhancing information management through data mining analytics to increase product sales in an e-commerce platform. International Journal of Electronic Marketing and Retailing , 2(2), 97 - 104.
Kudyba, Stephen P. (2008). Application Challenges for Managed Care Organizations. , International Journal of Healthcare Information Systems and , 3(2),
Kudyba, Stephen P. (2006). Utilizing Neural Network Applications to Enhance Efficiency in the Health Care Industry. International Journal of Business Intelligence and Data Mining,
Kudyba, Stephen P. (2006). Enhancing Organizational Information Flow & Knowledge Creation in Re-Engineering Supply Chain Systems . International Journal of Innovation Management, 10(2),
Kudyba, Stephen P., & Fjermestad, Jerry L, & Davenport, Thomas H (2020). A research model for identifying factors that drive effective decision-making and the future of work. Journal of Intellectual Capital,
Kudyba, Stephen P. (2018). A hybrid analytic approach for understanding patient demand for mental health services. Network Modeling Analysis in Health Informatics and Bioinformatics (Springer), 7(3),
Kudyba, Stephen P. (2018). AI and Digital Resources in Fintech: Creating an evolutionary analytic platform for “risk” estimation. The European Business Review (Sept/Oct), 63 -66.
Kudyba, Stephen P. (2018). Machine Learning Can Help B2B Firms Learn More About Their Customers. Harvard Business Review(January 2018),
Davenport, Thomas, & Kudyba, Stephan (2016). Designing and Developing Analytics Based Data Products. MIT Sloan Management Review, 58(1), 83 - 89.
Kudyba, Stephen P. (2014). A data mining approach for estimating patient demand for mental health services. Health Systems,
Kudyba, Stephen P., & Gregorio, Thomas (2010). Identifying factors that impact patient length of stay metrics for healthcare providers with advanced analytics. Health Informatics Journal, 16(4), 235-245.
Kudyba, Stephen P., & Fjermestad, Jerry L (2009). Data Mining and Call Center Platforms to Mitigate Account Outflows for Finance Companies. Journal of Management Systems, Vol. 21(Number 1, 2009), Pages 27-35.
Kudyba, Stephen P., & Lawrence, Kenneth D. (2008). Enhancing information management through data mining analytics to increase product sales in an e-commerce platform. International Journal of Electronic Marketing and Retailing , 2(2), 97 - 104.
Kudyba, Stephen P. (2008). Application Challenges for Managed Care Organizations. , International Journal of Healthcare Information Systems and , 3(2),
Kudyba, Stephen P. (2006). Utilizing Neural Network Applications to Enhance Efficiency in the Health Care Industry. International Journal of Business Intelligence and Data Mining,
Kudyba, Stephen P. (2006). Enhancing Organizational Information Flow & Knowledge Creation in Re-Engineering Supply Chain Systems . International Journal of Innovation Management, 10(2),
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Book
Kudyba, Stephan P. (2021). Healthcare Informatics: Strategies for the Digital Era. New York, NY: Taylor Francis
Kudyba, Stephan (2016). Healthcare Informatics: Improving Efficiency through Technology, Analytics and Management. New York, NY: Taylor Francis Group
Kudyba, Stephen P. (2014). Big Data, Mining and Analytics: Components of Strategic Decision Making. New York: Auerbach Publishers
Kudyba, Stephen P. (2010). Healthcare Informatics: Increasing Efficiency and Productivity. Boca Raton, FLA: Taylor Francis
Lawrence, Kenneth D., & Kudyba, Stephen P., & Klimberg, Ronald (2007). Data Mining:Methods and Applications. New York: Auerbach Publishers Taylor and Francis Group
Kudyba, Stephan (2016). Healthcare Informatics: Improving Efficiency through Technology, Analytics and Management. New York, NY: Taylor Francis Group
Kudyba, Stephen P. (2014). Big Data, Mining and Analytics: Components of Strategic Decision Making. New York: Auerbach Publishers
Kudyba, Stephen P. (2010). Healthcare Informatics: Increasing Efficiency and Productivity. Boca Raton, FLA: Taylor Francis
Lawrence, Kenneth D., & Kudyba, Stephen P., & Klimberg, Ronald (2007). Data Mining:Methods and Applications. New York: Auerbach Publishers Taylor and Francis Group
Chapter
Gerety, Vernon, & Kudyba, Stephen P. (2015). Contemporary Perspectives in Data Mining, Information Age Publishing. Charlotte North Carolina: Information Age Publishing
Newspaper
Taking Data Products to the Next Stage
The Wall Street Journal, February 2015
The Wall Street Journal, February 2015
Magazine/Trade Publication
Gains in Healthcare: The Evolution of Business (Patient Treatment) Intelligence
Source Media, June 2007
Source Media, June 2007