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- 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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- 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
- 2021
- 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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- 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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- 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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- 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...
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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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