Latest Faculty Research

SAYING NO TO CREATE EMPOWERMENT

Faculty: Vanessa Patrick, Associate Dean of Research and Bauer Professor of Marketing

Insight: Patrick’s book, “The Power of Saying No,” draws on her extensive research in the area of compassionate self-control, and was published in 2023. In it, she introduces the concept of empowered refusal and shares practical strategies to say no effectively. Her book was named a Next Big Idea Club Must Read book and a top 100 pick for the Non-Obvious Book awards. Patrick’s expertise was highlighted on numerous podcasts for the Stanford Graduate School of Business, University of Toronto and Rutgers Center for Women in Business, and she was interviewed for articles in The Wall Street Journal, TIME magazine, among many others.

A MODEL FOR MORE PRECISE INVESTMENT FORECASTS

Faculty: Rohit Allena, Assistant Professor, Department of Finance

Insight: Machine learning models that outperform standard investment strategies have created a buzz in recent years. Allena’s research proposing a new mathematical model designed to improve the precision of machine learning return forecasts received the Best Paper Award at the Hong Kong Conference for Fintech, AI, and Big Data in Business. “Confident Risk Premiums and Investments using Machine Learning Uncertainties,” is being resubmitted to The Review of Financial Studies.

LOGISTICS EFFICIENCY FOR "DROP-AND-SWAP"

Faculty: E. Powell Robinson, Professor; Funda Sahin, Associate Professor, Department of Decision & Information Sciences  

Insight: Bauer College researchers designed new modeling for determining the most strategic locations for e-commerce firms using the “drop-and-swap” transport mode (decoupling linehaul and last-mile delivery operations). The new model accounts for federal mandates that limit truck drivers’ service hours, and simultaneously determines the optimum size, number and location of order fulfillment facilities and drop-and-swap terminals, as well as optimal transportation flow throughout the system.

The new location models improved profitability by approximately 5 percent compared with traditional network design approaches In a case study for a building products manufacturer. Profit improvements ranged from 2.32 percent to 10.97 percent when applied to nearly 300 other test scenarios.

“Network design with consideration of hours-of-service regulation and drop-and-swap trailer operations,” was written with a co-author from Hofstra University, and has been accepted for publication in Decision Sciences Journal.

IMPROVING ONLINE INTERACTIONS

Faculty: Janet A. Meade, Associate Professor, Kiran Parthasarathy, Instructional Associate Professor, Department of Accountancy & Taxation 

Insight: In the wake of a massive global shift to online learning, Bauer researchers sought to know whether prior academic achievement and differing demographics impacted the types of learner interaction chosen by online introductory accounting students, and whether the choices made by these students led to improved learning outcomes. Their findings make a strong case for offering multiple learner interactions to students and encouraging them to take advantage of multiple learning aids.

“Do Multiple Learner Interactions Improve Learning for Accounting Students Having Differing Academic Achievement and Demographics?” was published in the Business Education Innovation Journal.