Analytics, Information and Operations Management research

The Analytics, Information and Operations Management (AIO) academic area includes faculty who are experts in topics such as business analytics, information systems and supply chain management, as well as former industry professionals whose experience supplements our curriculum.

AIO faculty regularly publish in leading academic journals and lend their expertise to regional and national media. Their intellectual contributions generate new knowledge and understanding, particularly as industries continue to rely more heavily on data-driven decision making.

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Area directors

Degree programs

Research topics

Data mining
Machine learning
Information security
Supply chain management
Healthcare information systems

In the Media

Disruptor Daily
What is the future of supply chain management? 16 experts share insights
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Inbound Logistics
What's the difference between supply chain visibility and transparency?
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Academic Minute
Mazhar Arikan, University of Kansas, talks baggage fees
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Recent research & news

Best strategies for designing crowdfunding campaigns revealed in new study

A KU researcher and colleagues have uncovered some strategies to help crowdfunding campaigns avoid last-minute contributions. “One way of doing that is using menus," says assistant professor Soudipta Chakraborty.

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Autonomous vehicles could prove to be future model for delivery services, study finds

Autonomous vehicles can help delivery people serve customers on foot, especially in cities where parking is a challenge and customers are close together, according to a study by assistant professor of business analytics Sara Reed.

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Professor named co-editor-in-chief of journal

KU professor Andrew Chen has been appointed co-editor-in-chief of Decision Support Systems, an academic journal covering theoretical and technical issues in the support of enhanced decision making.

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Artificial intelligence expert originates new theory for decision-making

How should people make decisions when the outcomes of their choices are uncertain, and the uncertainty is described by probability theory? That’s the question faced by Prakash Shenoy, the Ronald G. Harper Distinguished Professor of Artificial Intelligence at the University of Kansas School of Business.

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