Research Centers

A paradigm shift in Global society has positioned technology as the main driver for economic growth in industry and government. Yet successful management of today’s fluid, fast-paced innovations poses extraordinary challenges.

Our research centers facilitate innovation through research, forums, and ongoing relationships with businesses around the globe. The dynamic research that happens at each of these centers helps ground the School’s curriculum in reality while keeping students and faculty at the edge of innovation:


Leir Center for Financial Bubble Research

The Leir Center for Financial Bubble Research within the New Jersey Institute of Technology’s Martin Tuchman School of Management was established through the generous support of the Ridgefield and Leir Foundations. The Center seeks to understand through quantitative and qualitative research how a financial bubble can be identified including its stages of development and what policies can best manage its impacts.

The Center believes bubble related research past and present has been primarily focused on the most recent financial crisis, which often involves a financial bubble but frequently does not. Yet every crisis seems now to be called a bubble. Thus developing a much more precise understanding of what is a bubble and what is not represents an important area of research.

Henry J. and Erna D. Leir Research Institute for Business, Technology, and Society

The Henry J. and Erna D. Leir Research Institute for Business, Technology, and Society will have an integrated, dual mission of innovative business/management research and targeted outreach through collaboration with partners across the academic and business communities, as well as regional economic development leaders and government agencies. The primary research objective is to advance core business knowledge and management science theory in corporate sustainability, agility, and resiliency through innovation and application of new cognitive business and machine learning methodologies, data-driven business process constructs, and novel business data science, visualization, and analytic techniques.