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- October 2022
- Case
Founders First Capital Partners
By: Brian Trelstad, Mel Martin and Amy Klopfenstein
In June 2021, Kim T. Folsom, the founder and CEO of revenue-based financing firm Founders First Capital Partners (FFCP), must decide whether to issue another loan to OnShore Technology Group, an up-and-coming software validation company. FFCP provided revenue-based...
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- 2022
- Working Paper
Beliefs About Giving Across Contexts
By: Christine L. Exley, John-Henry Pezzuto and Marta Serra-Garcia
A rich literature investigates prosocial behavior by exploiting a variety of methods, the validity of which has been debated. While this literature has compared behavior inside and outside of the laboratory, an open question is how participants view prosocial behavior...
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- June 2022
- Teaching Note
Bespoken Spirits: Disrupting Distilling
By: Benjamin C. Esty and Daniel Fisher
Teaching Note for HBS Case No. 721-419. On October 7, 2020, Bespoken Spirits publicly announced it had received $2.6 million of seed funding for its “sustainable maturation process,” a process that could produce award-winning whiskeys in just days rather than years...
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- May 2022
- Article
Embracing Field Studies as a Tool for Learning
Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field—which researchers currently favour—we should also conduct field studies that aim to learn in the field...
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- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a...
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- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
- 2022
- Working Paper
When the Journey—Not Only the Destination—Matters: Internationalization Shaping Entrepreneurial Experimentation
By: Nataliya Langburd Wright and Laura Huang
Internationalization—gaining exposure to cross-border markets—often results in the aftermath of an entrepreneurial venture’s initial success. Ventures develop strong products or services, and they rely on international markets to help them continue growing and scaling...
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- 2022
- Working Paper
Understanding Rural Households' Time Use in a Developing Setting: Validating a Low-Cost Time Use Module
By: Erica M Field, Rohini Pande, Natalia Rigol, Simone G. Schaner, Elena M. Stacy and Charity M. Troyer Moore
Time use data facilitate deeper understanding of individual labor supply choices, especially for women, who are more likely to engage in unpaid care and home production. However, traditional time use data collection methods are time-consuming, expensive and susceptible...
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- Article
Adaptive Machine Unlearning
By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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- October 15, 2021
- Article
Virtuous Victims
By: Jillian J. Jordan and Maryam Kouchaki
How do people perceive the moral character of victims? We find, across a range of transgressions, that people frequently see victims of wrongdoing as more moral than non-victims who have behaved identically. Across 15 experiments (total n = 9,355), we document this...
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- October 2021
- Article
Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach
By: Nicolas Padilla and Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can...
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- September 2021
- Article
Joint Problem-solving Orientation in Fluid Cross-boundary Teams
By: Michaela J. Kerrissey, Anna T. Mayo and Amy C. Edmondson
Using interviews, a national field survey, and an online laboratory study, we have examined teamwork in fluid cross-boundary teams. Across three studies, we qualitatively discovered and quantitatively explored "joint problem-solving orientation" as a new team factor....
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- August 2021
- Article
Anger Damns the Innocent
By: Katherine DeCelles, Gabrielle Adams, Holly S. Howe and Leslie K. John
False accusations of wrongdoing are common and can have grave consequences. In six studies, we document a worrisome paradox in perceivers’ subjective judgments of a suspect’s guilt. Specifically, we find that laypeople (online panelists; N = 4,983) use suspects’ angry...
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Keywords:
Morality;
Accusations;
Deception;
Guilt;
Affect;
Emotions;
Behavior;
Perception;
Judgments;
Decision Making
- August 2021
- Article
Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...
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- August 2021
- Article
Rate-Amplifying Demand and the Excess Sensitivity of Long-Term Rates
By: Samuel G. Hanson, David O. Lucca and Jonathan H. Wright
Long-term nominal interest rates are surprisingly sensitive to high-frequency (daily or monthly) movements in short-term rates. Since 2000, this high-frequency sensitivity has grown even stronger in U.S. data. By contrast, the association between low-frequency changes...
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- Article
Tabulated Nonsense? Testing the Validity of the Ethnographic Atlas
By: Duman Bahrami-Rad, Anke Becker and Joseph Henrich
The Ethnographic Atlas (Murdock, 1967), an anthropological database, is widely used across the social sciences. The Atlas is a quantified and discretely categorized collection of information gleaned from ethnographies covering more than 1200...
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- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
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- Article
Measuring Audit Quality
By: Shivaram Rajgopal, Suraj Srinivasan and Xin Zheng
In this paper, we document 45 specific allegations related to audit deficiencies based on GAAS, as detailed in 141 AAERs and 153 securities class action lawsuits over the violation years 1978–2016. Next, we use these allegations to validate existing popular proxies of...
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- May 2021
- Article
Choice Architecture in Physician–patient Communication: A Mixed-methods Assessment of Physicians' Competency
By: J. Hart, K. Yadav, S. Szymanski, A. Summer, A. Tannenbaum, J. Zlatev, D. Daniels and S.D. Halpern
Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence....
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- May–June 2021
- Article
Why Start-ups Fail
If you’re launching a business, the odds are against you: Two-thirds of start-ups never show a positive return. Unnerved by that statistic, a professor of entrepreneurship at Harvard Business School set out to discover why. Based on interviews and surveys with hundreds...
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