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  • September 2018
  • Case

Kevin Ryan Inc.

By: Shikhar Ghosh and Greg Marsh
The case focuses on the hiring process for a CEO. Kevin Ryan had a solid trajectory as a serial entrepreneur of well-known ventures like Gilt Group, DoubleClick, Business Insider, among others. Ryan tended to involve himself in all aspects of his ventures: ideation,... View Details
Keywords: Hiring; Team Building; Interviews; CEO; Human Resources; Selection and Staffing; Entrepreneurship; Business Startups; United States; North America
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  • November 2009 (Revised August 2010)
  • Case

NovoCure Ltd.

By: William A. Sahlman and Sarah Flaherty
Venture capitalist William Doyle must raise $35 million for a portfolio company with a promising, novel cancer therapy, just as global capital markets are imploding in the fall of 2008. NovoCure, Ltd., has developed an electrical-field-based therapy, called Tumor... View Details
Keywords: Financial Crisis; Entrepreneurship; Venture Capital; Investment; Health Care and Treatment; Health Testing and Trials; Technological Innovation; Financial Services Industry
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  • September–October 2018
  • Article

The Paradox of Responsive Authoritarianism: How Civic Activism Spurs Environmental Penalties in China

By: Christopher Marquis and Yanhua Bird
Recognizing the need to better understand institutional change processes in authoritarian states, which play an increasingly prominent role in the world economy, we examine the efficacy of civic activism aimed at spurring governmental action concerning the... View Details
Keywords: Civic Activism; Authoritarianism; Regulation; Corporate Sustainability; Environmental Sustainability; Government and Politics; Business and Government Relations; Social Issues; Change; China
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  • 2012
  • Working Paper

School Accountability and Principal Mobility: How No Child Left Behind Affects the Allocation of School Leaders

By: Danielle Li
The move toward increased school accountability may substantially affect the career risks that school leaders face without providing commensurate changes in pay. Since effective school leaders likely have significant scope in choosing where to work, these uncompensated... View Details
Keywords: Leadership; Corporate Accountability; Education; North Carolina
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  • Research Summary

Knowledge flows and capability acquisition

By: Willy C. Shih
Technological advancements are a major source of improvement in competiveness, and a firm’s incentives to invest are diminished when the knowledge generated is involuntarily dispersed to competitors.  While intellectual property rights can moderate this flow to the... View Details
Keywords: Knowledge Aspects Of Strategy; Knowledge Management; Knowledge Spillovers; Knowledge Acquisition; Manufacturing Industry; Biotechnology Industry; Technology Industry; United States; China
  • November 2003 (Revised March 2004)
  • Case

Drilling South: Petrobras Evaluates Pecom

By: Mihir A. Desai and Ricardo Reisen de Pinho
The Brazilian oil company, Petrobras, is evaluating the acquisition of an Argentine oil company, the Perez Companc Group (Pecom). The acquisition would increase Petrobras' oil reserves and expand its interests outside Brazil, a significant step for the largest company... View Details
Keywords: Mergers and Acquisitions; Forecasting and Prediction; Financial Crisis; Non-Renewable Energy; Cross-Cultural and Cross-Border Issues; Corporate Governance; Risk Management; Emerging Markets; State Ownership; Performance Evaluation; Risk and Uncertainty; Valuation; Energy Industry; Argentina; Brazil
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  • 2017
  • Working Paper

Carbon Tariffs: Effects in Settings with Technology Choice and Foreign Production Cost Advantage

By: David F. Drake
Emissions regulation is a policy mechanism intended to address the threat of climate change. However, the stringency of emissions regulation varies across regions, raising concerns over carbon leakage—an outcome where stringent regulation in one region shifts... View Details
Keywords: Technology; Competition; Pollutants; Taxation; Environmental Sustainability; Globalized Markets and Industries
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  • Teaching Interest

MBA Elective Curriculum: Investment Strategies

By: Malcolm P. Baker

This is a CORE course for students pursuing careers in finance. Thus, students interested in pursuing careers in mutual funds, hedge funds, pension funds, endowments, wealth management, financial consulting, marketing and client service, sales and trading,... View Details

  • 2023
  • Article

On the Impact of Actionable Explanations on Social Segregation

By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result
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  • September 2013
  • Article

Testimonials Do Not Convert Patients from Brand to Generic Medication

By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and Gwendolyn Reynolds

Objectives: To assess whether the addition of a peer testimonial to an informational mailing increases conversion rates from brand name prescription medications to lower-cost therapeutic equivalents, and whether the testimonial's efficacy increases when... View Details

Keywords: Testimonial; Peer Information; Social Proximity; Communication; Generic Medication; Familiarity; Marketing Communications; Decision Choices and Conditions; Identity; Health Care and Treatment; Marketing Reference Programs; Power and Influence; Brands and Branding; Health Industry
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  • Research Summary

Business and Low Income Sectors: The Creation of Economic and Social Value

In the last three decades, innovative commercial solutions have emerged in developing nations focusing on providing effective responses to the hugely underserved needs of low-income populations, both as consumers as well as active participants in productive value... View Details
  • Article

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details
Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
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  • 2023
  • Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details
Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms
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  • 2020
  • Working Paper

Fresh Fruit and Vegetable Consumption: The Impact of Access and Value

By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The goal of this paper is to leverage household-level data to improve food-related policies aimed at increasing the consumption of fruits and vegetables (FVs) among low-income households. Currently, several interventions target areas where residents have limited... View Details
Keywords: Food Deserts; Food Access; Food Policy; Causal Inference; Food; Nutrition; Poverty; Government Administration
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  • 2021
  • Article

Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
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  • 17 Dec 2013
  • First Look

First Look: December 17

  Publications August 2013 Harvard Business Review Press Can China Lead? Reaching the Limits of Power and Growth By: Abrami, Regina M., William C. Kirby, and F. Warren McFarlan Abstract—At the time of the American Revolution, China was the strongest, richest, and most... View Details
Keywords: Carmen Nobel
  • 05 Sep 2023
  • Book

Failing Well: How Your ‘Intelligent Failure’ Unlocks Your Full Potential

acid deficiency. When the drug was reformulated with folic acid, it passed its efficacy trials, eventually becoming a multibillion-dollar pharmaceutical that helped thousands of lung cancer patients. How to fail intelligently Edmondson,... View Details
Keywords: by Michael Blanding
  • 11 Apr 2017
  • First Look

First Look at New Research, April 11

forthcoming Journal of Accounting & Economics Career Concerns of Banking Analysts By: Horton, Joanne, George Serafeim, and Shan Wu Abstract—We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and... View Details
  • Research Summary

Of Measurement and Mission: Accounting for Performance in Non-Governmental Organizations

By: Debora L. Spar
As members of civil society NGOs would seem to have a built-in proclivity towards representation: towards working on behalf of some group of people, or toward some specific goal. Yet in practice such moments of accountability are rare. Unlike other social agents,... View Details
  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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