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- September 2021
- Article
Income More Reliably Predicts Frequent Than Intense Happiness
By: Jon M. Jachimowicz, Ruo Mo, Adam Eric Greenberg, Bertus Jeronimus and Ashley V. Whillans
There is widespread consensus that income and subjective well-being are linked, but when and why they are connected is subject to ongoing debate. We draw on prior research that distinguishes between the frequency and intensity of happiness to suggest that higher income...
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- April 9, 2021
- Article
How Blockchain Can Simplify Partnerships
By: Fabrice Lumineau, Wenqian Wang, Oliver Schilke and Laura Huang
Collaborations that require information sharing and mutual trust between companies, suppliers, and clients can be tough, particularly in the remote era. But blockchain’s distributed ledger—and its use of smart contracts—can simplify the process, creating a common,...
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- February 2021 (Revised August 2021)
- Case
Marvin: A Personalized Telehealth Approach to Mental Health
By: Regina E. Herzlinger, Thomas Arsenault, Julia Kelley, Carin-Isabel Knoop, Andrew Nguyen and Eshani Sharma
More than one third of Americans were said to suffer some type of behavioral health ailment at some point in their lifetime, with many people requiring chronic therapy or intervention. Despite significant clinical needs, access to reliable treatment has been difficult...
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- 2021
- Working Paper
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
- 2021
- Working Paper
Measuring Employment Impact: Applications and Cases
By: Katie Panella and George Serafeim
Applying the Impact-Weighted Accounts Initiative’s employment impact methodology on eight leading companies, we document wide variability in employment impacts as a percentage of salaries paid, ranging between 59 and 80 percent. We identify opportunities for...
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- 2021
- Working Paper
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...
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- 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...
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- 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...
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- 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...
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- 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...
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- April 2020 (Revised June 2020)
- 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...
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- 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...
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- 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...
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- 2020
- Conference Presentation
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihardi 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...
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- 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...
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- 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...
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- July 9, 2019
- Article
Setting Better Sales Goals with Analytics
By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber
Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A...
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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...
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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
- 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...
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- 2019
- Working Paper
Biometric Tracking, Healthcare Provision, and Data Quality: Experimental Evidence from Tuberculosis Control
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...
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