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- October 25, 2022
- Article
Why Sharing Economic Growth with the Community Is Good Business
By: José A. Tiburcio, Lino Miguel Dias and Robert S. Kaplan
Subsistence dairy ranchers in Central America struggle to stay afloat during the dry season when grass is scarce. Global life sciences company Bayer has launched a program to enable them to produce their own corn silage feed. The results of this program are helping to...
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- October 2022 (Revised October 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife...
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- August 2022
- Case
Sweet Teez Bakery: Projecting the Dough’s Rise
By: Emily R. McComb, Mel Martin and Amy Klopfenstein
In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise. Maynard had...
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- August 2022
- Supplement
Sweet Teez Bakery: Projecting the Dough’s Rise Financial Supplement
By: Emily R. McComb, Mel Martin and Amy Klopfenstein
Abstract: In 2021, the HBS Impact Investment Fund student team met with entrepreneur Teresa Maynard, who had applied for a $25,000 impact investment loan. The students thought the former Harvard Data Scientist’s bakery business, Sweet Teez Bakery, showed promise....
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- 2022
- Working Paper
Moral Thin-Slicing
By: Julian De Freitas and Alon Hafri
Given limits on time and attention, people increasingly make moral evaluations in a few seconds or less, yet it is unknown whether such snap judgments are accurate or not. On one hand, the literature suggests that people form fast moral impressions once they already...
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Keywords:
Moral Judgement;
Thin Slices;
Social Media;
Fake News;
Misinformation;
Moral Sensibility;
Behavior;
News
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has...
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- 2022
- Working Paper
Uniform Rate Setting and the Deposit Channel
By: Juliane Begenau and Erik Stafford
Banks do not completely pass-through changes in short-term market rates to depositors. The deposit channel of monetary policy proposes that banks choose the rate of pass-through across their branches based on local deposit market concentration, which consequently...
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- March 2022 (Revised May 2022)
- Case
Reclaiming the Land of Purple: Purpl’s Mission to Unlock Finance in Lebanon
By: Lauren Cohen and Grace Headinger
Karl Naim, Co-Founder and CEO of Purpl, embarked on a venture to lower remittance costs for his native Lebanon. Since October 2019, the Lebanese economy had entered a free fall as its banking sector collapsed and large swathes of its population were plunged into...
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Keywords:
Business Startup;
Fintech;
Inflation;
Deflation;
Cross-border Frictions;
Remittances;
Business Startups;
Diasporas;
Financial Crisis;
Money;
Entrepreneurship;
Cross-Cultural and Cross-Border Issues;
Poverty;
Financial Institutions;
Banking Industry;
Financial Services Industry;
Technology Industry;
Lebanon
- Article
Counterfactual Explanations Can Be Manipulated
By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate...
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- 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...
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- November 2021 (Revised December 2021)
- Case
Praava Health: A New Model for Bangladesh
By: Michael Chu
Launched in Dhaka, Bangladesh, in 2018, Praava Health (‘Praava’) delivered high-quality in-clinic primary and specialist care, backed by its own high quality diagnostic laboratories, imaging and pharmacy. Praava was founder Sylvana Sinha’s response to what she saw as a...
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- Article
Complementarity between Audited Financial Reporting and Voluntary Disclosure: The Case of Former Andersen Clients
By: Richard Frankel, Alon Kalay, Gil Sadka and Yuan Zou
Prior literature presents various perspectives on the role of financial reporting. One view is that mandatory periodic reporting disciplines managers and encourages timely voluntary disclosure. We examine this "confirmation hypothesis" using the shock to financial...
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- November 2021
- Article
Determining Variable Costs in the Acute Urolithiasis Cycle of Care Through Time-driven Activity-based Costing
By: Tyler R. McClintock, David F. Friedlander, Aiden Y. Feng, Mahek A. Shah, Daniel J. Pallin, Steven L. Chang, Angela M. Bader, Thomas W. Feeley, Robert S. Kaplan and George E. Haleblian
Objective. To characterize full cycle of care costs for managing an acute ureteral stone using time-driven activity-based costing.
Methods. We defined all phases of care for patients presenting with an acute ureteral stone and built an... View Details
Methods. We defined all phases of care for patients presenting with an acute ureteral stone and built an... View Details
- 2022
- Working Paper
The Value of Professional Ties in B2B Markets
By: Navid Mojir and Sriya Anbil
We study how a particular form of social ties (i.e., professional ties proxied by past employment) affect price and profitability in business-to-business (B2B) markets. While most of the work on social ties focuses on information diffusion in business-to-consumer...
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- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer...
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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 March 2022)
- Case
Marvin: A Personalized Telehealth Approach to Mental Health
By: Regina E. Herzlinger, Eshani Sharma, Andrew Nguyen, Thomas Arsenault, Carin-Isabel Knoop and Julia Kelley
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
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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- 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...
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