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      • Faculty Publications  (203)

      InterpretabilityRemove Interpretability →

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      • Article

      Four Things No One Will Tell You About ESG Data

      By: Sakis Kotsantonis and George Serafeim
      As the ESG finance field and the use of ESG data in investment decision-making continue to grow, the authors seek to shed light on several important aspects of ESG measurement and data. This article is intended to provide a useful guide for the rapidly rising number of... View Details
      Keywords: ESG; ESG (Environmental, Social, Governance) Performance; ESG Reporting; Data Analytics; Sustainability; Sustainability Reporting; CSR; Transparency; Investment Management; Socially Responsible Investing; Sustainable Finance; Sustainable Development; Inclusion; Inclusive Growth; Corporate Social Responsibility and Impact; Corporate Accountability; Investment; Management; Climate Change; Corporate Governance; Diversity; Integrated Corporate Reporting
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      Kotsantonis, Sakis, and George Serafeim. "Four Things No One Will Tell You About ESG Data." Journal of Applied Corporate Finance 31, no. 2 (Spring 2019): 50–58.
      • March 2019
      • Article

      Open Source Software and Firm Productivity

      By: Frank Nagle
      As open source software (OSS) is increasingly used as a key input by firms, understanding its impact on productivity becomes critical. This study measures the firm-level productivity impact of nonpecuniary (free) OSS and finds a positive and significant value-added... View Details
      Keywords: Applications and Software; Open Source Distribution; Performance Productivity; Information Technology; Strategy
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      Nagle, Frank. "Open Source Software and Firm Productivity." Management Science 65, no. 3 (March 2019): 1191–1215.
      • Article

      Faithful and Customizable Explanations of Black Box Models

      By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec
      As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details
      Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework
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      Lakkaraju, Himabindu, Ece Kamar, Rich Caruana, and Jure Leskovec. "Faithful and Customizable Explanations of Black Box Models." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2019).
      • 2018
      • Article

      What Can Managers Privately Disclose to Investors?

      By: Eugene F. Soltes
      Regulators have long been aware that differential access to information can undermine the efficiency and fairness of financial markets. In an effort to place investors on equal footing, the Securities and Exchange Commission in 2000 created Regulation Fair Disclosure... View Details
      Keywords: Disclosure Regulation; Information; Communication; Business and Shareholder Relations; Governing Rules, Regulations, and Reforms
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      Soltes, Eugene F. "What Can Managers Privately Disclose to Investors?" Yale Journal on Regulation Bulletin 36 (2018): 148–169.
      • November–December 2018
      • Article

      Online Network Revenue Management Using Thompson Sampling

      By: Kris J. Ferreira, David Simchi-Levi and He Wang
      We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
      Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
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      Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
      • 2020
      • Working Paper

      Machine Learning for Pattern Discovery in Management Research

      By: Prithwiraj Choudhury
      Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
      Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
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      Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
      • September 2018
      • Article

      When and Why Randomized Response Techniques (Fail to) Elicit the Truth

      By: Leslie K. John, George Loewenstein, Alessandro Acquisti and Joachim Vosgerau
      By adding random noise to individual responses, randomized response techniques (RRTs) are intended to enhance privacy protection and encourage honest disclosure of sensitive information. Empirical findings on their success in doing so are, however, mixed. In nine... View Details
      Keywords: Truth-telling; Lying; Privacy; Information Disclosure; Survey Research; Surveys; Attitudes; Behavior
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      John, Leslie K., George Loewenstein, Alessandro Acquisti, and Joachim Vosgerau. "When and Why Randomized Response Techniques (Fail to) Elicit the Truth." Organizational Behavior and Human Decision Processes 148 (September 2018): 101–123.
      • August 2018 (Revised April 2019)
      • Case

      Chateau Winery (A): Unsupervised Learning

      By: Srikant M. Datar and Caitlin N. Bowler
      This case follows Bill Booth, marketing manager of a regional wine distributor, as he applies unsupervised learning on data about his customers’ purchases to better understand their preferences. Specifically, he uses the K-means clustering technique to identify groups... View Details
      Keywords: Clustering; Data Science; Analytics and Data Science; Customers; Marketing; Analysis
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      Datar, Srikant M., and Caitlin N. Bowler. "Chateau Winery (A): Unsupervised Learning." Harvard Business School Case 119-023, August 2018. (Revised April 2019.)
      • 2018
      • Working Paper

      Black Out-Migration and Southern Political Realignment

      By: Leah Boustan and Marco Tabellini
      Can emigration from less democratic and economically less developed areas induce political and economic change? We study this question in the context of the second Great Migration of African Americans (1940–1970), when more than 4 million blacks left the U.S. South and... View Details
      Keywords: Great Migration; Immigration; Race; Government and Politics; Economics; United States
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      Boustan, Leah, and Marco Tabellini. "Black Out-Migration and Southern Political Realignment." Working Paper, 2018.
      • 2018
      • Introduction

      Introduction

      By: Sophus A. Reinert
      BOOK ABSTRACT: When Istvan Hont died in 2013, the world lost a giant of intellectual history. A leader of the Cambridge School of Political Thought, Hont argued passionately for a global-historical approach to political ideas. To better understand the development of... View Details
      Keywords: Markets; Moral Sensibility; Government and Politics; Trade; History
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      Reinert, Sophus A. "Introduction." Introduction to Markets, Morals, Politics: Jealousy of Trade and the History of Political Thought, edited by Béla Kapossy, Isaac Nakhimovsky, Sophus A. Reinert, and Richard Whatmore, 1–22. Cambridge, MA: Harvard University Press, 2018.
      • 2018
      • Book

      Markets, Morals, Politics: Jealousy of Trade and the History of Political Thought

      By: Béla Kapossy, Isaac Nakhimovsky, Sophus A. Reinert and Richard Whatmore
      When Istvan Hont died in 2013, the world lost a giant of intellectual history. A leader of the Cambridge School of Political Thought, Hont argued passionately for a global-historical approach to political ideas. To better understand the development of liberalism, he... View Details
      Keywords: Morals; Politics; Istvan Hont; Jealousy Of Trade; Enlightenment; Economic Nationalism; Markets; Moral Sensibility; Government and Politics; Trade; History
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      Kapossy, Béla, Isaac Nakhimovsky, Sophus A. Reinert and Richard Whatmore, eds. Markets, Morals, Politics: Jealousy of Trade and the History of Political Thought. Cambridge, MA: Harvard University Press, 2018.
      • 2018
      • Working Paper

      Zig-Zagging Your Way to Transformative Impact

      By: V. Kasturi Rangan and Tricia Gregg
      Achieving transformative impact has been much discussed by social entrepreneurs, funders, and consultants. These discussions have focused on issues of increasing impact and scale, but often with no clear distinction between the two terms. In order to provide clarity,... View Details
      Keywords: Social Entrepreneurship; Performance Efficiency; Growth and Development; Outcome or Result; Strategy
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      Rangan, V. Kasturi, and Tricia Gregg. "Zig-Zagging Your Way to Transformative Impact." Harvard Business School Working Paper, No. 18-062, January 2018.
      • January 2018
      • Case

      Partners In Health: Costing Primary Care in Haiti

      By: Robert S. Kaplan and Mahek A. Shah
      Partners in Health, a global NGO focused on delivering health care to residents of rural underserved communities, conducts a project on the cost of primary care at five sites in the Central Highlands of Haiti. It devises a simple approach for tracking the resources... View Details
      Keywords: Global Health; Public Health; Health Care and Treatment; Activity Based Costing and Management; Cost Accounting; Rural Scope; Health Industry; Haiti
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      Kaplan, Robert S., and Mahek A. Shah. "Partners In Health: Costing Primary Care in Haiti." Harvard Business School Case 118-051, January 2018.
      • December 2017
      • Response

      Reply: Do Powerful Politicians Really Cause Corporate Downsizing?

      By: Lauren Cohen, Joshua D. Coval and Christopher J. Malloy
      While we commend the initiative of Snyder and Welch (2017), we lay out in this short reply why we remain highly confident in our results and our interpretation thereof. We welcome authors to continue to explore the data for themselves and look forward to the new... View Details
      Keywords: Spending; Private Sector; Taxation; Interest Rates; Business and Government Relations; Investment; Employment; Power and Influence
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      Cohen, Lauren, Joshua D. Coval, and Christopher J. Malloy. "Reply: Do Powerful Politicians Really Cause Corporate Downsizing?" Journal of Political Economy 125, no. 6 (December 2017): 2232–2237.
      • 2017
      • Working Paper

      Identifying Sources of Inefficiency in Health Care

      By: Amitabh Chandra and Douglas O. Staiger
      In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
      Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
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      Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." NBER Working Paper Series, No. 24035, November 2017.
      • 2017
      • Working Paper

      Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments

      By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
      This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
      Keywords: Probability; Economic Theory; Analysis; Incentives
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      Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
      • September–October 2017
      • Article

      The Surprising Power of Online Experiments: Getting the Most Out of A/B and Other Controlled Tests

      By: Ron Kohavi and Stefan Thomke
      In the fast-moving digital world, even experts have a hard time assessing new ideas. Case in point: At Bing, a small headline change an employee proposed was deemed a low priority and shelved for months until one engineer decided to do a quick online controlled... View Details
      Keywords: Experiments; A/B Testing; Research; Consumer Behavior
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      Kohavi, Ron, and Stefan Thomke. "The Surprising Power of Online Experiments: Getting the Most Out of A/B and Other Controlled Tests." Harvard Business Review 95, no. 5 (September–October 2017): 74–82.
      • May 2017
      • Article

      The Reference Wars: Encyclopædia Britannica's Decline and Encarta's Emergence

      By: Shane Greenstein
      The experience of Encyclopædia Britannica provides the canonical example of the decline of an established firm at the outset of the digital age. Competition from Microsoft’s Encarta in 1993 led to sharp declines in the sales of books, which led to the distressed sale... View Details
      Keywords: Digital; Britannica; Diseconomies; Encyclopedias; Applications and Software; Books; Competition; Publishing Industry
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      Greenstein, Shane. "The Reference Wars: Encyclopædia Britannica's Decline and Encarta's Emergence." Strategic Management Journal 38, no. 5 (May 2017): 995–1017.
      • April 2017
      • Article

      BATNAs in Negotiation: Common Errors and Three Kinds of 'No'

      By: James K. Sebenius
      The Best Alternative to a Negotiated Agreement (“BATNA”) concept in negotiation has proven to be immensely useful. In tandem with its value in practice, BATNA has become a wildly successful acronym (with more than 14 million Google results). But the initial... View Details
      Keywords: Agreements and Arrangements; Negotiation Tactics
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      Sebenius, James K. "BATNAs in Negotiation: Common Errors and Three Kinds of 'No'." Negotiation Journal 33, no. 2 (April 2017): 89–99.
      • Article

      Learning Cost-Effective and Interpretable Treatment Regimes

      By: Himabindu Lakkaraju and Cynthia Rudin
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      Lakkaraju, Himabindu, and Cynthia Rudin. "Learning Cost-Effective and Interpretable Treatment Regimes." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 20th (2017).
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