Anca Micu, PhD, senior associate dean, published her research paper, “Fostering Effective Collaboration Between Faculty and Marketing Staff for Institutional Success,” in the Journal of Education Advancement & Marketing.
Faculty and staff collaboration is increasingly important for higher education institutional success. Creating an environment of cooperation with faculty-staff cross-silo dialogue requires mission-driven, clearly communicated, and measurable strategic goals, where staff have a clear vertical structure of responsibilities and perceive faculty being incentivized to work with them, and faculty have a thorough understanding of the beneficial outcomes of their collaboration with staff.
Winner of the Fairfield Dolan 2024 Outstanding Research Paper Award, Stanislav Vavilov, PhD, assistant professor of management, had the research paper, “Global Development Agenda Meets Local Opportunities: The Rise of Development-Focused Entrepreneurship Support,” co-authored with Stephen Manning and published in Research Policy.
Emerging economies provide abundant opportunities for entrepreneurship with social impact, but they often lack the resources to support it. This dilemma has led to the emergence of “developmentfocused entrepreneurship support” (DFES), which is typically provided by development organizations in the Global North, and which targets impactoriented entrepreneurs operating in the Global South. This study examines —based on rich qualitative data from the U.S., Rwanda, and Uganda — how international DFES organizations (iDFESOs) support entrepreneurs.
Philip Maymin, PhD, associate professor of analytics, co-authored the research paper “Fairy Tails: Lessons From 150 Years of Drawdowns,” published in The Journal of Portfolio Management. Co-authored by Ashwin Alankar, Daniel Ding, Allan Maymin, and Myron Scholes.
The authors identify, examine, and categorize the largest downside tail events in the U.S. equity market over the past 150 years, using monthly data. They define a downside tail event as any peak-to-trough loss of at least 15 percent. Using Gaussian mixture models to cluster the tail events based on pre-drawdown observables, five distinct environments emerge: hiking, easing, disinflationary, inflationary, and exuberance.
Lin Lu, PhD, assistant professor of analytics, co-authored the research paper “Measuring Service Quality With Text Analytics: Considering Both Importance and Performance of Consumer Opinions on Social and Non-Social Online Platforms,” published in Journal of Business Research. Co-authored by Pei Xu, Yen-Yao Wang, and Yu Wang.
Online word-of-mouth (WOM) has attracted considerable attention from researchers due to its abundant information on customer perceptions that drive product and service improvement. This study develops a novel weighted service quality (WSQ) metric derived from online customer opinions, leveraging the importanceperformance analysis framework. Data collected from social and non-social online platforms confirms that this WSQ approach outperforms the widely used average sentiment score approach and significantly predicts the industry service quality standard, Airline Quality Rating (AQR).
