MTSM's Homer Bonitsis Wins Industry Service Award
NJIT’s Homer Bonitsis, associate professor of finance in Martin Tuchman School of Management, was awarded the 2026 Lifetime Service Award from the Northeast Decision Sciences Institute.
NEDSI members methodically study the planning, execution and evaluation of organizational decision-making.
Over multiple decades, Bonitsis served in several NEDSI leadership roles such as campus representative, conference presenter, paper reviewer, and session/track chair. He was elected NEDSI president and served from 2023-2024.
“NEDSI is a distinguished organization, so receiving this award is humbling in that my colleagues have determined that my contributions over the years have been significant and merit recognition,” Bonitsis said. “Indeed, one of the pillars of academia is service to one’s profession. Receiving this recognition is a capstone event that is both professionally and personally gratifying.”
In bringing the NEDSI annual conference to Newark in 2022 following two years of cancelled and virtual events due to the COVID pandemic, Bonitsis noted that external shocks can change how business happens. The shock four years ago was the world’s delicate supply chain. Now, it’s artificial intelligence. The trend is reflected in the activities of NEDSI and its parent organization, the Decision Sciences Institute, both of which now emphasize AI in their proceedings.
“The field of decision sciences seeks to enhance the cache of methods and tools available to society so as to optimize the decision-making process. AI is an innovative transformative technology that enhances optimal decision making. For a decision-maker, AI will become a potent tool that will result in more robust outcomes,” Bonitsis noted. “Self-evidently, the advent of agentic AI raises existential questions for the decision sciences to address for society.”
In research, Bonitsis studies topics such as exchange rate determination; international financial and economic relationships; monetary and traditional approaches to international competitiveness; and time-series modeling of financial and economic variables.