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      • Faculty Publications  (109)

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      • Article

      Towards Robust and Reliable Algorithmic Recourse

      By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
      Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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      Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 2020
      • Working Paper

      An Empirical Guide to Investor-Level Private Equity Data from Preqin

      By: Juliane Begenau, Claudia Robles-Garcia, Emil Siriwardane and Lulu Wang
      This note provides guidance on the use of investor-level private equity data from Preqin for empirical research. Preqin primarily sources its cash flow data through Freedom of Information Act (FOIA) requests with U.S. public pensions. Our focus is on the components of... View Details
      Keywords: Private Equity Returns; Prequin Data; Private Equity; Analytics and Data Science; Investment Return
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      Begenau, Juliane, Claudia Robles-Garcia, Emil Siriwardane, and Lulu Wang. "An Empirical Guide to Investor-Level Private Equity Data from Preqin." Working Paper, December 2020.
      • September 2020 (Revised November 2020)
      • Case

      d.light

      By: Michael Chu, Krishna G. Palepu and Dilyana Karadzhova Botha
      Kenyan off-grid-solar pioneer d.light can power entire homes in rural Africa but must now decide how to fund the growth of its asset-heavy business model. Ned Tozun and Sam Goldman founded d.light in 2006 to transform lives through solar solutions enabling access to... View Details
      Keywords: Alternative Energy; Business Model; Capital; Emerging Markets; Expansion; Financial Strategy; Renewable Energy; Strategy; Social Entrepreneurship; Energy Industry; Africa; Kenya; India
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      Chu, Michael, Krishna G. Palepu, and Dilyana Karadzhova Botha. "d.light." Harvard Business School Case 321-069, September 2020. (Revised November 2020.)
      • Article

      Conversational Receptiveness: Expressing Engagement with Opposing Views

      By: M. Yeomans, J. Minson, H. Collins, H. Chen and F. Gino
      We examine “conversational receptiveness”—the use of language to communicate one’s willingness to thoughtfully engage with opposing views. We develop an interpretable machine-learning algorithm to identify the linguistic profile of receptiveness (Studies 1A-B). We then... View Details
      Keywords: Receptiveness; Natural Language Processing; Disagreement; Interpersonal Communication; Relationships; Conflict Management
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      Yeomans, M., J. Minson, H. Collins, H. Chen, and F. Gino. "Conversational Receptiveness: Expressing Engagement with Opposing Views." Organizational Behavior and Human Decision Processes 160 (September 2020): 131–148.
      • June 2020
      • Article

      Air Pollution, State Anxiety, and Unethical Behavior: A Meta-Analytic Review

      By: J Lu, J. Lee, F. Gino and A. Galinsky
      Lu, Lee, Gino, and Galinsky (2018) reported four studies demonstrating that air pollution predicted unethical behavior and that one mediating mechanism was state anxiety. In contrast, Heck and colleagues reported two null-effect studies on air pollution, trait... View Details
      Keywords: State Anxiety; Pollution; Behavior; Moral Sensibility; Analysis
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      Lu, J., J. Lee, F. Gino, and A. Galinsky. "Air Pollution, State Anxiety, and Unethical Behavior: A Meta-Analytic Review." Psychological Science 31, no. 6 (June 2020): 748–755.
      • 2020
      • Chapter

      Consensual Assessment

      By: B. A. Hennessey, J. S. Mueller and T. M. Amabile
      Over time, the field of creativity research has seen a gradual shift away from an almost exclusive emphasis on the creative person towards a more balanced inquiry that centers both on individual difference issues and questions about the nature of creative products and... View Details
      Keywords: Consensual Assessment Technique; Product Creativity; Creativity; Research
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      Hennessey, B. A., J. S. Mueller, and T. M. Amabile. "Consensual Assessment." In Encyclopedia of Creativity. 3rd ed. Edited by Mark A. Runco and Steven R. Pritzker, 199–205. Academic Press, 2020.
      • April 2020 (Revised October 2021)
      • Case

      SpaceX, Economies of Scale, and a Revolution in Space Access

      By: Matthew C. Weinzierl, Kylie Lucas and Mehak Sarang
      From the time he transformed the world of online banking, Elon Musk established himself as a bold innovator. After selling X.com to PayPal in 2002, he founded a series of revolutionary start-ups, starting with Space Exploration Technologies (SpaceX). Hoping to "make... View Details
      Keywords: Space Tech; Space Access; Vision; Economies Of Scale; Technological Innovation; Emerging Markets; Commercialization; Finance; Aerospace Industry
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      Weinzierl, Matthew C., Kylie Lucas, and Mehak Sarang. "SpaceX, Economies of Scale, and a Revolution in Space Access." Harvard Business School Case 720-027, April 2020. (Revised October 2021.)
      • April 2020
      • Article

      Field Comparisons of Incentive-Compatible Preference Elicitation Techniques

      By: Shawn A. Cole, A. Nilesh Fernando, Daniel Stein and Jeremy Tobacman
      Knowledge of consumer demand is important for firms, policy makers, and economists. One common tool for incentive-compatible demand elicitation, the Becker-DeGroot-Marschak (BDM) mechanism, has been widely used in laboratory settings but rarely evaluated for... View Details
      Keywords: Incentive-compatible Elicitation; Experimental Methods; Weather Insurance; Rainfall Insurance; Agricultural Extension; Demand and Consumers
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      Cole, Shawn A., A. Nilesh Fernando, Daniel Stein, and Jeremy Tobacman. "Field Comparisons of Incentive-Compatible Preference Elicitation Techniques." Journal of Economic Behavior & Organization 172 (April 2020): 33–56.
      • March 30, 2020
      • Article

      Why Is the U.S. Behind on Coronavirus Testing?

      By: Stefan Thomke
      Coronavirus testing is needed to address the uncertainty in making decisions about patient treatment, resource allocation, policy, and so much more. Answers to questions such as “When should we relax social distancing measures—and for whom?” or “How many ventilators... View Details
      Keywords: Testing; Coronavirus; Culture; Trump; Data; Experiments; Health Pandemics; Health Testing and Trials; Government and Politics; United States
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      Thomke, Stefan. "Why Is the U.S. Behind on Coronavirus Testing?" Harvard Business Review Digital Articles (March 30, 2020).
      • February 2020
      • Case

      Highfields Capital and McDonald's

      By: Mark Egan and Robin Greenwood
      McDonald’s reported its fifth consecutive quarter of declining same-store sales growth in early 2015. Despite McDonald’s recent poor performance, Jonathon S. Jacobson, the founder and Chief Investment Officer of Boston-based Highfields Capital Management, had initiated... View Details
      Keywords: McDonald's; Stocks; Performance Improvement; Operations; Finance; Restructuring; Value Creation; Financial Services Industry
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      Egan, Mark, and Robin Greenwood. "Highfields Capital and McDonald's." Harvard Business School Case 220-061, February 2020.
      • Article

      Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error

      By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
      Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
      Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
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      Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
      • December 2019
      • Case

      CME Group in 2019

      By: José B. Alvarez, Forest Reinhardt and Natalie Kindred
      Chicago-based CME Group is the world’s largest futures and options marketplace, with annual trading volume of over 4.8 billion contracts in 2018. This case is set in late 2019, as heightened perceptions of risk stemming from the U.S.-China trade war are driving record... View Details
      Keywords: Financial Markets; Risk Management; Futures and Commodity Futures; Trade; Price; Competition; Risk and Uncertainty; Competitive Strategy; United States; China; Brazil
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      Alvarez, José B., Forest Reinhardt, and Natalie Kindred. "CME Group in 2019." Harvard Business School Case 520-048, December 2019.
      • December 2019
      • Article

      It Helps to Ask: The Cumulative Benefits of Asking Follow-up Questions

      By: Michael Yeomans, Alison Wood Brooks, Karen Huang, Julia A. Minson and Francesca Gino
      In a recent article published in Journal of Personality and Social Psychology (JPSP; Huang, Yeomans, Brooks, Minson, & Gino, 2017), we reported the results of 2 experiments involving “getting acquainted” conversations among strangers and an observational field... View Details
      Keywords: Question-asking; Conversation; Communication; Relationships; Interpersonal Communication
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      Yeomans, Michael, Alison Wood Brooks, Karen Huang, Julia A. Minson, and Francesca Gino. "It Helps to Ask: The Cumulative Benefits of Asking Follow-up Questions." Journal of Personality and Social Psychology 117, no. 6 (December 2019): 1139–1144.
      • 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.
      • April 2019 (Revised April 2021)
      • Case

      Wayfair

      By: Jeffrey F. Rayport, Susie L. Ma and Matthew G. Preble
      In 2016 Niraj Shah and Steve Conine, founders of online home goods retailer Wayfair, are faced with a decision about how to improve user experience on their e-commerce sites. A key driver of consumer interest and conversion to purchase in the home category is visual... View Details
      Keywords: Visual Assets; Corporate Entrepreneurship; Decision Making; Business or Company Management; Growth Management; Innovation and Invention; Operations; Strategy; Technology; Retail Industry; Service Industry; United States; Massachusetts
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      Rayport, Jeffrey F., Susie L. Ma, and Matthew G. Preble. "Wayfair." Harvard Business School Case 819-045, April 2019. (Revised April 2021.)
      • 2019
      • Working Paper

      Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India

      By: Thomas Bossuroy, Clara Delavallade and Vincent Pons
      Developing countries increasingly use biometric identification technology in hopes of improving the reliability of administrative information and delivering social services more efficiently. This paper exploits the random placement of biometric tracking devices in... View Details
      Keywords: Biometric Technology; Health Care and Treatment; Technological Innovation; Analytics and Data Science; Quality; Performance Improvement; India
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      Bossuroy, Thomas, Clara Delavallade, and Vincent Pons. "Biometric Monitoring, Service Delivery and Misreporting: Evidence from Healthcare in India." NBER Working Paper Series, No. 26388, October 2019. (Revise and resubmit requested, Review of Economics and Statistics.)
      • February 2019
      • Case

      Canibal—Play It Green!

      By: Frank V. Cespedes, Joseph B. Fuller, Tonia Labruyere and Elena Corsi
      In 2011, Canibal launched a machine that could sort and compress aluminum cans, plastic bottles, and cups. Users could play a jackpot-style game on the machine’s digital display, while disposing of their beverage containers and earning coupons or other rewards. The... View Details
      Keywords: Sales Growth; Recycling; Start-up; Scaling; Market Selection; Sales; Marketing; Business Startups; Growth and Development Strategy; Segmentation; Product Positioning; Technology Industry; France
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      Cespedes, Frank V., Joseph B. Fuller, Tonia Labruyere, and Elena Corsi. "Canibal—Play It Green!" Harvard Business School Case 319-089, February 2019.
      • Article

      Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications

      By: Daniel Elsner, Pouya Aleatrati Khosroshahi, Alan MacCormack and Robert Lagerström
      Existing application performance management (APM) solutions lack robust anomaly detection capabilities and root cause analysis techniques that do not require manual efforts and domain knowledge. In this paper, we develop a density-based unsupervised machine learning... View Details
      Keywords: Big Data; Data Science And Analytics Management; Governance And Compliance; Organizational Systems And Technology; Anomaly Detection; Application Performance Management; Machine Learning; Enterprise Architecture; Analytics and Data Science
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      Elsner, Daniel, Pouya Aleatrati Khosroshahi, Alan MacCormack, and Robert Lagerström. "Multivariate Unsupervised Machine Learning for Anomaly Detection in Enterprise Applications." Proceedings of the Hawaii International Conference on System Sciences 52nd (2019): 5827–5836.
      • August 2018 (Revised April 2019)
      • Case

      Fair Value Accounting at Berkshire Hathaway Inc. (A)

      By: Jonas Heese, Suraj Srinivasan, Francois Brochet and Christine Johnson
      In May 2018, Berkshire Hathaway announced an unprecedented loss of more than $1 billion for the first quarter of 2018. Warren Buffett blamed this loss on the new accounting rules for equity securities which he criticized. In the case ‘Fair Value Accounting at Berkshire... View Details
      Keywords: Equity Securities; FASB; Fair Value Accounting; Governing Rules, Regulations, and Reforms; Financial Services Industry
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      Heese, Jonas, Suraj Srinivasan, Francois Brochet, and Christine Johnson. "Fair Value Accounting at Berkshire Hathaway Inc. (A)." Harvard Business School Case 119-030, August 2018. (Revised April 2019.)
      • June 2017
      • Case

      Waze Connected Citizens Program

      By: Mitchell Weiss and Alissa Davies
      Di-Ann Eisnor, Director of Growth at Waze, founded the company’s Connected Citizens Program (CCP), a data-sharing partnership that provided officials with traffic incident and congestion data. Since 2015, her program had enabled officials in Kentucky and elsewhere to... View Details
      Keywords: Public Entrepreneurship; Waze; Public-Private Partnerships; Scaling Technology Ventures; Di-Ann Eisnor; Paige Fitzgerald; Noam Bardin; Ehud Shabtai; Cities; Traffic; Crowdsourcing; API; Scaling Innovation; Entrepreneurship; Public Sector; Information Technology; Transportation; Growth Management; Transportation Industry; Israel; Indonesia; United States; Brazil; Los Angeles; Kentucky
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      Weiss, Mitchell, and Alissa Davies. "Waze Connected Citizens Program." Harvard Business School Case 817-035, June 2017.
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