Publications
Publications
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- All HBS Web
(2,962)
- Faculty Publications (967)
- January 2021
- Supplement
Aster DM Healthcare: Budget Exercise
By: V.G. Narayanan and Amy Klopfenstein
In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Finance; Borrowing and Debt; Financial Institutions; Banks and Banking; Financial Condition; Financial Liquidity; Accounting; Budgets and Budgeting; Management; Crisis Management; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
- January 2021
- Case
Aster DM Healthcare: Budgeting for a Crisis
By: V.G. Narayanan and Amy Klopfenstein
In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
- January 2021 (Revised March 2021)
- Case
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Jill Avery, Ayelet Israeli and Emma von Maur
THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; ＂Marketing Analytics＂; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
- January 2021
- Case
The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
- January 2021
- Article
A Model of Relative Thinking
By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
- June 2021
- Article
From Predictions to Prescriptions: A Data-driven Response to COVID-19
By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
- January 2021
- Article
How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19
By: Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit one of psychology’s most fundamental and most basic questions in a high-stakes... View Details
- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S.... View Details
- 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
- January 2021
- Article
Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
- 2021
- Working Paper
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
- December 2020 (Revised March 2022)
- Teaching Note
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
- December 2020
- Article
Monetary Policy and Global Banking
By: Falk Bräuning and Victoria Ivashina
When central banks adjust interest rates, the opportunity cost of lending in local currency changes, but—in absence of frictions—there is no spillover effect to lending in other currencies. However, when equity capital is limited, global banks must benchmark domestic... View Details
- Article
Soul and Machine (Learning)
By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
- 2023
- Working Paper
The Market for Healthcare in Low Income Countries
By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
Patient trust is an important driver of the demand for healthcare. But it may also impact supply:
doctors who realize that patients may not trust them may adjust their behavior in response. We
assemble a large dataset that assesses clinical performance using... View Details
- November 2020
- Case
Axis My India
By: Ananth Raman, Ann Winslow and Kairavi Dey
Pradeep Gupta founded Axis My India (AMI) as a printing and publishing company in 1998. In 2013, AMI expanded into consumer research and election forecasting. Although a relatively unknown entity, AMI predicted several election results accurately. Gupta describes AMI’s... View Details
- 2020
- Working Paper
Determinants of Early-Stage Startup Performance: Survey Results
To explore determinants of new venture performance, the CEOs of 470 early-stage startups were surveyed regarding a broad range of factors related to their venture’s customer value proposition, product management, marketing, technology and operations, financial... View Details
- October 2020
- Article
IQ from IP: Simplifying Search in Portfolio Choice
By: Huaizhi Chen, Lauren Cohen, Umit Gurun, Dong Lou and Christopher J. Malloy
Using a novel database that tracks web traffic on the SEC’s EDGAR servers between 2004 and 2015, we show that mutual fund managers gather information on a very particular subset of firms and insiders, and their surveillance is very persistent over time. This tracking... View Details
- September 2020 (Revised September 2021)
- Case
Student Success at Georgia State University (A)
By: Michael W. Toffel, Robin Mendelson and Julia Kelley
Georgia State University had developed a reputation for driving student success by nearly doubling its graduation rate for students of all racial, ethnic, and socioeconomic backgrounds. It did so while growing its student body and the proportion of Black/African... View Details
Keywords: Education; Higher Education; Learning; Curriculum and Courses; Demographics; Diversity; Ethnicity; Income; Race; Leadership; Goals and Objectives; Measurement and Metrics; Operations; Organizations; Mission and Purpose; Organizational Culture; Outcome or Result; Performance; Performance Effectiveness; Performance Evaluation; Service Operations; Performance Improvement; Planning; Strategic Planning; Social Enterprise; Nonprofit Organizations; Social Issues; Wealth and Poverty; Equality and Inequality; Information Technology; Digital Platforms; Education Industry; Atlanta