Our faculty continues to publish research in top-tier journals at a robust rate. I am pleased to highlight several faculty members’ recent success:

Peter Kelly
Assistant Professor of Finance
Earnings Announcement Return Extrapolation
Review of Accounting Studies (Forthcoming)

The researchers show that extrapolative beliefs are an important ingredient for explaining return patterns and investor behavior around earnings announcements (EAs). Stocks expected to have high EA returns according to their new extrapolation measure experience predictable increases in prices before EAs and predictable decreases afterward (consistent with over-extrapolation). Additionally, the research offers evidence that individual and institutional investors hold extrapolative beliefs before earnings announcements based on past earnings announcement returns.

Katie Wowak
Assistant Professor of IT, Analytics, and Operations
"Hiding in the Herd: The Product Recall Clustering Phenomenon"
Manufacturing & Service Operations Management (Forthcoming)

The research finds that product recalls in the automobile industry occur in clusters, which are a collection of recalls within close temporal proximity in which a leading recall (the first recall in a cluster) by one firm excites following recalls (subsequent recalls in a cluster) by competitor firms. Over a 48-year period (1966-2013), 73% of recalls announced during that time occurred in recall clusters. Additionally, leading recalls are associated with as high as a 67% larger stock market penalty than following recalls.

Ahmed Abbasi
Joe and Jane Giovanini Professor of IT, Analytics, and Operations
"TheoryOn: A Design Framework and System for Unlocking Behavioral Knowledge Through Ontology Learning"
MIS Quarterly

Analysts and researchers are increasingly dealing with a data deluge that impacts coverage and precision while retrieving information. When manually processing large volumes of scientific research and/or technical documents, these knowledge inaccessibility and inaccuracy issues are especially pronounced. Building on recent advances in text analytics, the researchers designed and developed a machine learning framework to aid analysts and researchers in their information seeking process. Through a series of experiments, they show that the proposed framework can significantly improve the quality, completeness and speed of information retrieved by expert users. This work is part of a research stream on human-centered text analytics that recently won the INFORMS Design Science Award.

Mike Mannor
John F. O'Shaughnessy Associate Professor of Family Enterprise
Management & Organization
"Keep Your Eye on the Ball or the Field? Exploring the Performance Implications of Executive Strategic Attention"
Academy of Management Journal (August 2020)

For CEOs managing complex organizations in a rapidly changing world, it can be hard to decide how to focus their strategic attention. This research, a collaboration between Mike Mannor and a former Notre Dame MBA student, finds that performance is strongest when CEOs adapt the breadth of their attention to align with the quantity and quality of opportunities in the current market, and their organization’s recently demonstrated ability to convert opportunities into results.

Yixing Chen
Assistant Professor of Marketing
"Improving Cancer Outreach Effectiveness Through Targeting and Economic Assessments"
Journal of Marketing (May 2020)

What should health care institutions do to boost cancer screening rates while saving more money for the health care system? Combining machine learning and a large-scale field experiment, this NIH-sponsored study recently published in the Journal of Marketing develops a personalized outreach program that can simultaneously improve liver cancer screening rates by up to 24 percentage points and return on outreach program by up to 96%.

Please join me in congratulating these colleagues contributing new knowledge to their fields and advancing the reputation of Mendoza through their research.

In Notre Dame,

Martijn