Stephan Kudyba

Associate Professor of Business Analytics and MIS New Jersey Institute of Technology

  • Newark NJ

Stephan Kudyba examines organizational efficiency and innovation through analytics, MIS and strategic management.

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New Jersey Institute of Technology

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Biography

Stephan Kudyba is an associate professor at NJIT's Martin Tuchman School of Management. He analyzes how different companies innovatively mine data to become more efficient. In particular, he explores data mining and management information systems in B2B marketing, digital transformation, data products, health care, fintech and supply chain management.

Areas of Expertise

Artifical Intelligence
Healthcare Analytics
Digital Marketing
Strategic Information Systems
Business Analytics
Information Systems
Data Science
Data Mining
Knowledge Management
Digital Transformation

Education

Rensselaer Polytechnic Institute

Ph.D.

Economics

Lehigh University

M.B.A

Siena College

B.S.

Economics / Computer Science

Articles

Will Generative AI Disrupt your Company and your Need for Workers?

The European Business Review

Stephan Kudyba

As Stephan Kudyba explains, generative AI affects companies in different ways….it all depends on the data that they rely on.

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What Companies Need to Know Before Investing in AI

Harvard Business Review

Different forms of AI can improve performance through prediction, automation of routines and identification of images, keywords and patterns in voice and text. However, organizations often struggle with knowing where investments in AI will really pay off.

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Build a Better Dashboard for Your Agile Project

Harvard Business Review

Good, reliable data is often the key to making an agile project successful. But project managers often struggle to get the data they need — or to find it in a sea of data they don’t.

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