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- October 2023
- Case
Accounting Red Flags or Red Herrings at Catalent?
By: Joseph Pacelli, ZeSean Ali and Tom Quinn
Fund manager Janet Curie asked for a recommendation about the pharmaceutical company Catalent. The company seemed like a solid investment. However, a pair of research reports issued over the previous two months complicated this narrative. GlassHouse Research, a short...
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Keywords:
Accounting Audits;
Budgets and Budgeting;
Business Earnings;
Earnings Management;
Cost Accounting;
Fair Value Accounting;
Financial Reporting;
Revenue Recognition;
Integrated Corporate Reporting;
Fairness;
Moral Sensibility;
Values and Beliefs;
Government Legislation;
Conflict of Interests;
Forms of Communication;
Announcements;
Blogs;
Debates;
Pharmaceutical Industry;
Accounting Industry;
United States
- May–June 2023
- Article
Unmasking Behaviors During the Pandemic with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors....
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- 2022
- Chapter
Buying Time? The Vietnam War and Southeast Asia
By: Mattias Fibiger
This article examines the “buying time thesis”—the idea that the American war in Vietnam bought time for the rest of Southeast Asia to build up political, economic, military, and diplomatic defenses against communism. It finds that there is some truth to claims that...
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Keywords:
Vietnam War;
Impact;
Legacy;
Geopolitics;
War;
History;
Government and Politics;
Southeast Asia
- Article
Policies to Influence Perceptions about COVID-19 Risk: The Case of Maps
By: Claudia Engel, Jonathan Rodden and Marco Tabellini
Choropleth disease maps have become an important tool for informing the public about the risks posed by COVID-19. In a survey conducted in the U.S. state of Georgia in June 2020, we randomly assigned respondents to view either of two maps. The first one reported...
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- May 26, 2021
- Article
The Challenge of Rebuilding U.S. Domestic Supply Chains
By: Willy C. Shih, Robert S. Huckman and James Wyner
Massachusetts-based Shawmut scrambled to expand production to meet the soaring demand for N95 masks and hospital gowns during the pandemic. Its experience illustrates a crucial point that policymakers should take to heart: Once a country loses its industrial commons...
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- Article
Sustainability, Business, and Health
By: George Serafeim, Amanda M. Rischbieth and Howard K. Koh
The coronavirus disease 2019 (COVID-19) pandemic has demonstrated that response demands involvement from every sector of society. As a major example, some businesses have stepped up in ways previously unimaginable. Garment companies have repurposed production to face...
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- June 2020 (Revised October 2020)
- Case
Muddy Waters vs. eHealth: The Debate of a 'Lifetime'
By: Jonas Heese and Cristo Liautaud
In May 2020, an analyst was assessing eHealth’s performance. eHealth was an online / tele-sales broker of health insurance products. The stock had recently hit all-time highs, closing at a peak of $146 on March 4, 2020. But now, May 4, 2020, eHealth traded at $103. The...
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- Article
Humblebragging: A Distinct—and Ineffective—Self-Presentation Strategy
By: Ovul Sezer, Francesca Gino and Michael I. Norton
Self-presentation is a fundamental aspect of social life, with myriad critical outcomes dependent on others’ impressions. We identify and offer the first empirical investigation of a prevalent, yet understudied, self-presentation strategy: humblebragging. Across nine...
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- March–April 2016
- Article
Scrutiny, Norms, and Selective Disclosure: A Global Study of Greenwashing
By: Christopher Marquis, Michael W. Toffel and Yanhua Zhou
Under increased pressure to report environmental impacts, some firms selectively disclose relatively benign impacts, creating an impression of transparency while masking their true performance. We identify key company- and country-level factors that limit firms' use of...
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- Article
When Does Familiarity Promote Versus Undermine Interpersonal Attraction? A Proposed Integrative Model from Erstwhile Adversaries
By: Eli J. Finkel, Michael I. Norton, Harry T. Reis, Dan Ariely, Peter A. Caprariello, Paul W. Eastwick, Jenna H. Frost and Michael R. Maniaci
This article began as an adversarial collaboration between two groups of researchers with competing views on a longstanding question: Does familiarity promote or undermine interpersonal attraction? As we explored our respective positions, it became clear that the...
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- October 2012 (Revised August 2013)
- Case
Global Unichip Corporation (A)
By: Willy Shih and Chen-Fu Chien
Global Unichip Corporation (GUC) is a design services company that acts as a front-end to TSMC, the world's largest semiconductor foundry. In so doing, it masked the complexity of the latest process technologies, and reduced the entry barriers for small firms to...
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Keywords:
Abstraction;
Value-network;
Entry Barriers;
Intermediaries;
Dis-intermediation;
Aggregator;
Vertical Specialization;
Technology Adoption;
Digital Platforms;
Competitive Strategy;
Corporate Strategy;
Horizontal Integration;
Vertical Integration;
Technological Innovation;
Innovation Strategy;
Innovation and Management;
Industry Structures;
Information Infrastructure;
Complexity;
Information Technology;
Semiconductor Industry;
Technology Industry;
Telecommunications Industry;
Taiwan
- June 2010
- Article
Leadership Competencies for Implementing Planned Organizational Change
By: Julie Battilana, Mattia Gilmartin, Anne-Claire Pache, Metin Sengul and Jeffrey A. Alexander
This paper bridges the leadership and organizational change literatures by exploring the relationship between managers' leadership competencies (namely, their effectiveness at person-oriented and task-oriented behaviors) and the likelihood that they will emphasize the...
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- Research Summary
Understanding the Limitations of Model Explanations
The goal of this research is to understand how adversaries can exploit various algorithms used for explaining complex machine learning models with an intention to mislead end users. For instance, can adversaries trick these algorithms into masking their racial and...
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