معرفی
Stephan Kudyba is an Associate Professor of Business Analytics and MIS at NJIT's MT School of Management. His research focuses on enhancing organizational efficiency through business intelligence, data mining, and strategic management across domains including healthcare, fintech, and supply chain. He holds a PhD in Economics from Rensselaer Polytechnic Institute, an MBA from Lehigh University, and a BS in Economics from Siena College.
With over 15 years of industry experience, Kudyba has published extensively on analytics applications in B2B marketing, digital transformation, and healthcare informatics. His research examines how organizations can leverage data resources to drive innovation and competitive advantage. Recent work explores AI implementation strategies, data-driven healthcare ecosystems, and digital transformation post-COVID.
Kudyba's publications demonstrate consistent focus on practical applications of analytics in business decision-making and risk management. His scholarly output spans predictive modeling in healthcare, agile project management tools, and financial technology innovations. The topical evolution shows increasing emphasis on real-time analytics and AI integration across business functions.
