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- Article
Recovering Investor Expectations from Demand for Index Funds
By: Mark Egan, Alexander J. MacKay and Hanbin Yang
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...
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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.
- September 2022 (Revised August 2023)
- Case
Audrey Tang: Using Technology to Strengthen Democracy in Taiwan
By: Shikhar Ghosh and Shweta Bagai
Since the early days of the internet, Taiwan had a vibrant community of civic hackers and open-source programmers who engaged with social issues. Audrey Tang was one of them. She spearheaded the 2014 Sunflower Student Movement in Taiwan, where protestors peacefully...
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Keywords:
Democracy;
Internet;
Web Technology;
Digital Transformation;
Digital Platform;
COVID;
Information Technology;
Applications and Software;
Governance;
Entrepreneurship;
Governing Rules, Regulations, and Reforms;
Innovation and Invention;
Taiwan;
China;
Asia
Ghosh, Shikhar, and Shweta Bagai. "Audrey Tang: Using Technology to Strengthen Democracy in Taiwan." Harvard Business School Case 823-048, September 2022. (Revised August 2023.)
- 2022
- Working Paper
Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces
By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno
Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online...
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Keywords:
Algorithms;
E-commerce;
Sales;
Digital Marketing;
Internet and the Web;
Customer Satisfaction
Gallino, Santiago, Nil Karacaoglu, and Antonio Moreno. "Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces." Working Paper, September 2022.
- August 2022
- Background Note
Retail Media Networks
By: Eva Ascarza, Ayelet Israeli and Celine Chammas
In 2022, retail media was one of the fastest growing segments in digital advertising. A retail media network (RMN) allows a retailer to use its assets for advertising. Retailers set up an advertising business by allowing marketers to buy advertising space across their...
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Keywords:
Advertisers;
Advertising Media;
Media And Broadcasting Industry;
Retail;
Retail Analytics;
Retail Promotion;
Retailing;
Ecommerce;
E-Commerce Strategy;
E-commerce;
Marketing Communication;
Targeting;
Targeted Advertising;
Targeted Marketing;
Advertising;
Marketing;
Marketing Communications;
Marketing Strategy;
Brands and Branding;
Media;
Marketing Channels;
Retail Industry;
Consumer Products Industry;
Advertising Industry;
United States
Ascarza, Eva, Ayelet Israeli, and Celine Chammas. "Retail Media Networks." Harvard Business School Background Note 523-029, August 2022.
- Article
All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity
By: Natalia Garbiras-Díaz and Mateo Montenegro
Can information and communication technologies help citizens monitor their elections? We analyze a large-scale field experiment designed to answer this question in Colombia. We leveraged Facebook advertisements sent to over 4 million potential voters to encourage...
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Keywords:
Social Influence;
Electoral Behavior;
Election Outcomes;
Economics;
Economy;
Governance;
Government and Politics;
Social Media;
Social Marketing;
Society;
Political Elections;
Advertising
Garbiras-Díaz, Natalia, and Mateo Montenegro. "All Eyes on Them: A Field Experiment on Citizen Oversight and Electoral Integrity." American Economic Review 112, no. 8 (August 2022): 2631–2668.
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats...
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Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.
- 2022
- Article
Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations
By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it...
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
- 2022
- Article
Towards Robust Off-Policy Evaluation via Human Inputs
By: Harvineet Singh, Shalmali Joshi, Finale Doshi-Velez and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are crucial tools for evaluating policies in high-stakes domains such as healthcare, where direct deployment is often infeasible, unethical, or expensive. When deployment environments are expected to undergo changes (that is, dataset...
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Singh, Harvineet, Shalmali Joshi, Finale Doshi-Velez, and Himabindu Lakkaraju. "Towards Robust Off-Policy Evaluation via Human Inputs." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 686–699.
- August 2022
- Article
What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features
By: Shunyuan Zhang, Dokyun Lee, Param Vir Singh and Kannan Srinivasan
We study how Airbnb property demand changed after the acquisition of verified images (taken by Airbnb’s photographers) and explore what makes a good image for an Airbnb property. Using deep learning and difference-in-difference analyses on an Airbnb panel dataset...
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Keywords:
Sharing Economy;
Airbnb;
Property Demand;
Computer Vision;
Deep Learning;
Image Feature Extraction;
Content Engineering;
Property;
Marketing;
Demand and Consumers
Zhang, Shunyuan, Dokyun Lee, Param Vir Singh, and Kannan Srinivasan. "What Makes a Good Image? Airbnb Demand Analytics Leveraging Interpretable Image Features." Management Science 68, no. 8 (August 2022): 5644–5666.
- July 2022
- Case
boAt Lifestyle
By: Rajiv Lal and Kairavi Dey
boAt began as a lifestyle brand in the consumer electronics category in 2016 with the aim of bringing affordable, durable, and fashionable audio products and accessories to millennials and Gen-Z customers in India. Born in 2016 with Amazon India as its only sales...
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Keywords:
Marketing;
Brands and Branding;
Initial Public Offering;
Digital Marketing;
Product Development;
Product Marketing;
Business or Company Management;
Electronics Industry;
Consumer Products Industry;
Web Services Industry;
Asia;
India
Lal, Rajiv, and Kairavi Dey. "boAt Lifestyle." Harvard Business School Case 523-019, July 2022.
- July 2022 (Revised November 2023)
- Case
3G Capital
By: Jo Tango and Alys Ferragamo
In June 2022, 3G Capital Co-Managing Partners Alex Behring and Daniel Schwartz were in a partners’ meeting. On the agenda were three potential investments. Code named “Alpha,” “Bravo,” and “Charlie” (real target companies that have been disguised), they were the...
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Keywords:
Investment Decisions;
Leveraged Buyout;
Investment Funds;
Investment Portfolio;
Decision Choices and Conditions;
Private Equity
Tango, Jo, and Alys Ferragamo. "3G Capital." Harvard Business School Case 823-010, July 2022. (Revised November 2023.)
- July 2022
- Article
Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy
By: Kyle Myers and Lauren Lanahan
We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and...
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Keywords:
Innovation;
Energy;
R&D;
Grants;
Innovation and Invention;
Research and Development;
Patents;
Performance;
United States
Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
- 2022
- Working Paper
Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments
By: Fanglin Chen, Xiao Liu, Davide Proserpio and Isamar Troncoso
We propose a method, Product2Vec, based on representation learning, that can automatically learn latent product attributes that drive consumer choices, to study product-level competition when the number of products is large. We demonstrate Product2Vec’s...
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Chen, Fanglin, Xiao Liu, Davide Proserpio, and Isamar Troncoso. "Product2Vec: Leveraging Representation Learning to Model Consumer Product Choice in Large Assortments." NYU Stern School of Business Research Paper Series, July 2022.
- June 2022 (Revised January 2023)
- Case
Buurtzorg
By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in...
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Keywords:
Healthcare;
Best Practices;
Best Practices Transfer;
Flat Organization;
Self-Managed Organizations;
Self-Managed Teams;
Organizational Learning;
Knowledge Management;
Learning;
Management Practices and Processes;
Human Resources;
Communication;
Organizational Structure;
Organizational Design;
Organizational Change and Adaptation;
Groups and Teams;
Networks;
Health Industry;
Netherlands;
Europe
Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
- June 2022 (Revised August 2023)
- Case
Strategic Innovation at the United Nations: A Network of Ecosystems
By: Frank Nagle, Elizabeth J. Altman and Amy Klopfenstein
In 2021, Gina Lucarelli, leader of the United Nations Development Programme (UNDP) Accelerator Labs, prepared for a meeting with UNDP Administrator Achim Steiner. The two planned to discuss the future of the Accelerator Labs, a network of social innovation labs located...
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Keywords:
Change;
Disruption;
Transformation;
Change Management;
Education;
Learning;
Environmental Management;
Climate Change;
Environmental Sustainability;
Geography;
Geographic Scope;
Global Range;
Local Range;
Geopolitical Units;
Country;
Human Resources;
Recruitment;
Retention;
Selection and Staffing;
Employees;
Employee Relationship Management;
Information Technology;
Information Management;
Innovation and Invention;
Collaborative Innovation and Invention;
Disruptive Innovation;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Knowledge;
Knowledge Acquisition;
Knowledge Dissemination;
Knowledge Management;
Knowledge Sharing;
Knowledge Use and Leverage;
Organizations;
Mission and Purpose;
Organizational Culture;
Organizational Structure;
Organizational Design;
Organizational Change and Adaptation;
Social Enterprise;
Non-Governmental Organizations;
Social Psychology;
Social and Collaborative Networks;
Society;
Social Issues;
Welfare;
Strategy;
Cooperation;
Adaptation;
Public Administration Industry;
North and Central America
Nagle, Frank, Elizabeth J. Altman, and Amy Klopfenstein. "Strategic Innovation at the United Nations: A Network of Ecosystems." Harvard Business School Case 722-363, June 2022. (Revised August 2023.)
- June 2022
- Case
PFA Pensions: The Climate Plus Product
By: Daniel Green, Victoria Ivashina and Alys Ferragamo
The case explores whether alternative investments play a unique role in achieving low carbon dioxide emissions at the portfolio level. This case is set in April of 2020 and follows Kasper Ahrndt Lorenzen, Chief Investment Officer, and Peter Tind Larsen, Head of...
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Keywords:
Carbon Emissions;
Carbon Footprint;
Alternative Assets;
Alternative Investment Vehicles;
Pension Fund Investing;
Private Equity;
Renewable Energy;
Investment Portfolio;
Corporate Social Responsibility and Impact;
Environmental Sustainability;
Denmark
Green, Daniel, Victoria Ivashina, and Alys Ferragamo. "PFA Pensions: The Climate Plus Product." Harvard Business School Case 222-088, June 2022.
- 2022
- Working Paper
A Conceptualization of Sub-Living Wages: Liabilities, Leverage, and Risk
By: Drew Keller, Katie Panella and George Serafeim
Currently the accounting system records employee wages as an expense in the income statement. However, paying below living wages can expose an organization to reputational and operational risks. In this paper, we offer an alternative conceptualization of the issue of...
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Keywords:
Accounting;
Impact Accounting;
Leverage;
Wages;
Compensation and Benefits;
Business and Stakeholder Relations;
Business and Government Relations;
Social Issues;
Human Capital
Keller, Drew, Katie Panella, and George Serafeim. "A Conceptualization of Sub-Living Wages: Liabilities, Leverage, and Risk." Harvard Business School Working Paper, No. 22-076, June 2022.
- 2022
- Conference Presentation
Towards the Unification and Robustness of Post hoc Explanation Methods
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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Keywords:
AI and Machine Learning
Agarwal, Sushant, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, and Himabindu Lakkaraju. "Towards the Unification and Robustness of Post hoc Explanation Methods." Paper presented at the 3rd Symposium on Foundations of Responsible Computing (FORC), 2022.
- Article
Capture New Value from Your Existing Tech Infrastructure
By: Stefan Thomke and Anthony Rodrigo
When senior managers think about how to respond to the threats and opportunities of technological change, they often dream of the same thing: If they just could start a new company or division that isn’t held back by conventional thinking or outdated business models....
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Keywords:
Innovation;
Technology;
Ecosystem;
Incubators;
Technological Innovation;
Telecommunications Industry;
South Asia;
Malaysia
Thomke, Stefan, and Anthony Rodrigo. "Capture New Value from Your Existing Tech Infrastructure." Harvard Business Review Digital Articles (May 5, 2022).
- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show...
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Keywords:
Monetary Policy Transmission;
Inequity;
Credit Registry;
Wealth;
Collateral Channel;
Selection;
Racial Disparity;
Racial Inequality;
Equality and Inequality;
Banks and Banking;
Credit;
Governing Rules, Regulations, and Reforms;
Banking Industry;
United States
Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.