Filter Results
:
(284)
Show Results For
-
All HBS Web
(1,393)
- Faculty Publications (284)
Show Results For
-
All HBS Web
(1,393)
- Faculty Publications (284)
Page 1 of
284
Results
→
- September 2023
- Module Note
Live Case Exercise for Financial Reporting
By: Tatiana Sandino and Marshal Herrmann
Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from...
View Details
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models...
View Details
Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
- 2023
- Article
On the Impact of Actionable Explanations on Social Segregation
By: Ruijiang Gao and Himabindu Lakkaraju
As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research...
View Details
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
View Details
Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
E-commerce;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
United States
- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated...
View Details
Keywords:
Carbon Emissions;
Sustainability;
Decarbonization;
Performance;
Risk Assessment;
Opportunities;
Environmental Sustainability;
Carbon Footprint;
Business Analysis;
Investing;
Regulation;
Asset Management;
Investment Strategy;
Climate Change;
Transition;
Analysis;
Product Positioning;
Strategy;
Investment Portfolio;
Financial Services Industry;
Energy Industry
- 2023
- Working Paper
Black Empowerment and White Mobilization: The Effects of the Voting Rights Act
By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
The 1965 Voting Rights Act (VRA) paved the road to Black empowerment. How did
southern whites respond? Leveraging newly digitized data on county-level voter registration
rates by race between 1956 and 1980, and exploiting pre-determined variation
in exposure to the...
View Details
Bernini, Andrea, Giovanni Facchini, Marco Tabellini, and Cecilia Testa. "Black Empowerment and White Mobilization: The Effects of the Voting Rights Act." Harvard Business School Working Paper, No. 23-075, June 2023. (Revise and resubmit at the Journal of Political Economy. Also available on Vox EU. Featured on HBS Working Knowledge.)
- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to...
View Details
Keywords:
Performance Evaluation;
Research and Development;
Analytics and Data Science;
Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider...
View Details
Ravishankar, Pavan, Qingyu Mo, Edward McFowland III, and Daniel B. Neill. "Provable Detection of Propagating Sampling Bias in Prediction Models." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 8 (2023): 9562–9569. (Presented at the 37th AAAI Conference on Artificial Intelligence (2/7/23-2/14/23) in Washington, DC.)
- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
View Details
Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half...
View Details
Cavallo, Alberto, and Gaston Garcia Zavaleta. "Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach." Working Paper, May 2023. (Preliminary draft.)
- 2023
- Working Paper
A Welfare Analysis of Gambling in Video Games
By: Tomomichi Amano and Andrey Simonov
In 2020, gamers worldwide spent more than $15 billion on loot boxes, a lottery of virtual items built into video games. Loot boxes are contentious, as regulators worry that they constitute gambling. In contrast, video game companies maintain that loot boxes are...
View Details
Keywords:
Consumer Behavior;
Policy;
Games, Gaming, and Gambling;
Product Design;
Video Game Industry
Amano, Tomomichi, and Andrey Simonov. "A Welfare Analysis of Gambling in Video Games." Harvard Business School Working Paper, No. 23-052, February 2023.
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market...
View Details
Keywords:
Decision Trees;
Computational Advertising;
Market Segmentation;
Analytics and Data Science;
E-commerce;
Consumer Behavior;
Marketplace Matching;
Marketing Channels;
Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- December 2022 (Revised February 2023)
- Case
Akooda: Charging Toward Operational Intelligence
By: Christopher T. Stanton and Mel Martin
The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google...
View Details
Keywords:
Data Mining;
Productivity;
Monitoring;
Data Analysis;
AI and Machine Learning;
Knowledge Management;
Operations;
Problems and Challenges;
Employee Relationship Management;
Information Technology Industry;
Technology Industry;
Information Industry;
Boston;
Israel
Stanton, Christopher T., and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised February 2023.)
- December 2022
- Article
The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance
This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to...
View Details
Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
- Article
Recovering Investor Expectations from Demand for Index Funds
We use a revealed-preference approach to estimate investor expectations of stock market returns. Using data on demand for index funds that follow the S&P 500, we develop and estimate a model of investor choice to flexibly recover the time-varying distribution of...
View Details
Keywords:
Stock Market Expectations;
Demand Estimation;
Exchange-traded Funds (ETFs);
Demand and Consumers;
Investment
Egan, Mark, Alexander J. MacKay, and Hanbin Yang. "Recovering Investor Expectations from Demand for Index Funds." Review of Economic Studies 89, no. 5 (October 2022): 2559–2599.
- 2022
- White Paper
The American Opportunity Index: A Corporate Scorecard of Worker Advancement
By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do...
View Details
Keywords:
Upward Mobility;
Career Advancement;
Personal Development and Career;
Compensation and Benefits;
Employees;
Wages;
Human Capital;
Recruitment
Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
- September 16, 2022
- Article
A Causal Test of the Strength of Weak Ties
By: Karthik Rajkumar, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson and Sinan Aral
The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest...
View Details
Rajkumar, Karthik, Guillaume Saint-Jacques, Iavor I. Bojinov, Erik Brynjolfsson, and Sinan Aral. "A Causal Test of the Strength of Weak Ties." Science 377, no. 6612 (September 16, 2022).
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046.
View Details
Keywords:
Artificial Intelligence;
Pricing;
Pricing Algorithm;
Pricing Decisions;
Pricing Strategy;
Pricing Structure;
Promotion;
Promotions;
Online Marketing;
Data-driven Decision-making;
Data-driven Management;
Retail;
Retail Analytics;
Price;
Advertising Campaigns;
Analytics and Data Science;
Analysis;
Digital Marketing;
Budgets and Budgeting;
Marketing Strategy;
Marketing;
Transformation;
Decision Making;
AI and Machine Learning;
Retail Industry;
Italy
- August 2022
- Supplement
Zalora: Data-Driven Pricing Recommendations
By: Ayelet Israeli
This exercise can be used in conjunction with the main case "Zalora: Data-Driven Pricing" to facilitate class discussion without requiring data analysis from the students. Instead, the exercise presents reports that were created by the data science team to answer the...
View Details
Keywords:
Pricing;
Pricing Algorithms;
Dynamic Pricing;
Ecommerce;
Pricing Strategy;
Pricing And Revenue Management;
Apparel;
Singapore;
Startup;
Demand Estimation;
Data Analysis;
Data Analytics;
Exercise;
Price;
Internet and the Web;
Apparel and Accessories Industry;
Retail Industry;
Fashion Industry;
Singapore
Israeli, Ayelet. "Zalora: Data-Driven Pricing Recommendations." Harvard Business School Supplement 523-032, August 2022.
- August, 2022
- Article
Billing and Insurance-Related Administrative Costs: A Cross-National Analysis
By: Barak D. Richman, Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin and Kevin A. Schulman
Billing and insurance-related costs are a significant source of wasteful health care spending in Organization for Economic Cooperation and Development nations, but these administrative burdens vary across national systems. We executed a microlevel accounting of these...
View Details
Richman, Barak D., Robert S. Kaplan, Japees Kohli, Dennis Purcell, Mahek Shah, Igna Bonfrer, Brian Golden, Rosemary Hannam, Will Mitchell, Daniel Cehic, Garry Crispin, and Kevin A. Schulman. "Billing and Insurance-Related Administrative Costs: A Cross-National Analysis." Health Affairs 41, no. 8 (August, 2022): 1098–1106.