Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
 
Session Overview
Session
MA1 - SO1: Strategies for social sustainability
Time:
Monday, 27/June/2022:
MA 8:30-10:00

Session Chair: Xabier Barriola
Location: Forum 1-3


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Presentations

Better Safe Than Sorry: How CEO neuroticism leads to faster product recalls

Daniel F Gass1, Andreas Fügener1, Lorenz Graf-Vlachy2

1University of Cologne, Germany; 2TU Dortmund, Germany

In the healthcare industry, quickly recalling defecting products can be instrumental in avoiding potentially harm to patients. Building on upper echelons theory and personality theory, we argue that neurotic CEOs are more vigilant when they face uncertainty, as they do when making recall decisions, leading to faster recalls. We build on a novel, machine-learning based approach to measure the personalities of 110 CEOs of U.S. healthcare firms and find broad support for our theory in analyses.



Browsers Don’t Lie? Gender Differences in the Effects of the Indian COVID-19 Lockdown on Digital Activity and Time Use

Amalia Miller1, Kamalini Ramdas2, Alp Sungu2

1Department of Economics, University of Virginia; 2London Business School, United Kingdom

We measure the digital impact of the Indian COVID-19 lockdown using a survey coupled with browser history data (n=1,094). Gender differences are present for online leisure, production, YouTube, social media and job search – and not for online learning. Working women sacrificed online leisure while maintaining online production. The gender gap is larger among parents. Fathers self-reported significantly larger childcare time increases, yet browser data and partner reports do not support this.



Inequity in disaster operations management

Xabier Barriola1, William Schmidt2

1Aalto University; 2Cornell University

We analyze prices paid in low-income and high-income areas after three hurricanes. Using a triple difference regression, we isolate the percentage change in prices paid by low-income versus high-income areas in affected versus unaffected areas. Compared to high-income areas, low-income areas experience a larger drop in promotions, higher unit percent price increases, a larger decrease in offer sets of low-priced items, and a larger increase in substitution from low-priced to high-priced items.



 
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