Sharing the Bounty
Professors join together to share research and information during SSB’s annual Harvest Day.
Stevens School of Business Harvest Day event offers a valuable opportunity for faculty and staff to learn about one another's scholarly work and pedagogical activities centered around artificial intelligence. Though faculty may be acquainted with fellow instructors or staff, glimpsing them hurrying to meetings or spotting their names on event schedules, many of them remain unfamiliar with the topics and questions that drive their academic interests. Harvest Day represents a dedicated time for illuminating intellectual pursuits that might otherwise go unseen. By bringing faculty and staff together specifically to share details of the diverse projects and initiatives they have separately undertaken in the past year, the occasion fosters meaningful connection through academic discovery.
“We extended the scope this year so that we have the theme and both research projects and pedagogical innovations that have happened over the past year,” said associate professor Jordan Suchow, organizer of the event. “It’s a nice opportunity for everyone to share what they’re excited about.”
2023 HARVEST DAY PRESENTATIONS
Digital Transformation and Enterprise Resilience Management in China
Josep A. Tribo, Junhua Chen, Shuya Hao
A study of whether digitalization of firms favors resilience through increases in absorptive capacity and by favoring stakeholder commitment.
How to Position Generative AI: Focusing on User-Provider Discrepancy
Hyewon Oh & Jinwoo Kim
Analyzing consumer preference or resistance to AI recommendations based on a functional versus emotional task from both a user and provider perspective.
ChatGPT and FOMC Monetary Policy Surprises
Jingrui (Victoria) Li
The use of ChatGPT to analyze FOMC meeting statement, press conference transcript and the summary and the summary of economic projections by using the ChatGPT Python API to train the model to provide a sentiment and tone analysis.
Applications of Generative AI: Using Artificial Intelligence to Analyze Lecture Trends
Alkiviadis Vazacopoulos & Sofia Savchuk ’25
A test of ChatGPT’s analytical capabilities by submitting lecture transcripts and inputting multiple prompts to generate a summary of the discussion, a list of student questions, the professor’s responses, insights from the transcript, positive and negative reactions from participants, and a list of action items.
Data Analytics in Accounting
Arion Cheong
An explanation of measures used during research such as firm-specific disclosure, post-intervention effect of SEC guidance, data brokers, historical internet archive, strategic ESG disclosure and pre-IPO benchmark in order to stimulate collaboration for future research.
Technology, Peers and Firm Performance
Joon Ho Kong
An investigation into whether businesses follow their peers’ technology-related investments and if peer firms’ decisions can be a trigger for a focal firm. The main results included increases in technological investments overall, technological investments for industry laggards and firm performance for technology laggards with subsequent investments.
Dissecting Corporate Culture Using Generative AI: Insights from Analyst Reports
Feng Mei, Kai Li, Chelsea Yang, Rui Shen, Tengfei Zhang
A study to extract and synthesize knowledge about corporate culture, including the causes of culture changes and the business outcomes that a corporate culture impacts, using a six-step ChatGPT prompt that asks the platform to act as an expert sell-side analyst specializing in corporate culture and analyze a segment from an analyst report.
Dos and Mostly Don’ts of ChatGPT
Ionut Florescu
An examination of content generated by ChatGPT with recommendations on how to deploy it. Since it was not designed to be correct or provide correct answers, it should only be used as a first draft.
Algorithm-Based Promotion Decisions and Post-Selection Scrutiny
Sibel Ozgen, Nathan Hiller
An exploration of downstream consequences for executives who are promoted via algorithmic decision-making versus human decision-making. Specifically, whether algorithm-promoted executives receive more scrutiny and less support from supervising executives.
Critical Thinking in the World of AI
Ratika Gore
With the advent of technologies like machine learning and artificial intelligence, it is more important than ever to help students become critical thinkers. Critical thinking is often hard because of the need to get along with the group, the aversion to listening to someone or considering an idea that might go against strongly held beliefs, and the fact that it takes energy. It is a skill that must be learned and practiced but can be learned and practiced.