Publications
Publications
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- All HBS Web
(1,617)
- Faculty Publications (435)
- Article
Core Earnings: New Data and Evidence
By: Ethan Rouen, Eric C. So and Charles C.Y. Wang
Using a novel dataset, we show that components of firms' GAAP earnings stemming from ancillary business activities or transitory shocks are significant in frequency and magnitude. These components have grown over time and are dispersed across various sections of the... View Details
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. 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
- October 2021 (Revised February 2022)
- Case
Newsweek: Driving a Digital First Strategy
By: Lynda M. Applegate and Suraj Srinivasan
The case describes the transformation at Newsweek, the storied news magazine that had fallen from its commanding position as a premier print publication unable to find its footing in the fast changing digital media landscape. After buying Newsweek and taking over as... View Details
- October 2021 (Revised March 2022)
- Supplement
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... 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; Retail Industry; Italy
- October 2021 (Revised June 2022)
- Case
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... 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; AI; 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
- October 1, 2021
- Article
An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.
By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
- Article
Targeting Weather Insurance Markets
By: Anita Mukherjee, Shawn Cole and Jeremy Tobacman
The suitability of insurance products often depends greatly on individual circumstances. This paper examines the challenges of heterogeneity in a relatively new product, weather‐indexed insurance. This index insurance product has been launched in over a dozen... View Details
Keywords: Index Insurance; Labor Markets; Self-insurance; Self-protection; Weather; Insurance; Markets; Household; Risk Management
- August 2021 (Revised February 2024)
- Case
Data Science at the Warriors
By: Iavor I. Bojinov and Michael Parzen
The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details
- August 2021
- Case
Orchadio's First Two Split Experiments
By: Iavor I. Bojinov, Marco Iansiti and David Lane
Orchadio, a direct-to-consumer grocery business, needs to conduct its first two A/B tests—one to evaluate the effectiveness and functioning of its newly redesigned website, and one to market-test four versions of a new banner for the website. To do so, it will rely on... View Details
- 2021
- Working Paper
How to Fix ESG Reporting
By: Robert S. Kaplan and Karthik Ramanna
Investors, advocacy groups, academics, and the 200 CEOs of the US Business Roundtable have asked corporations to take on an added purpose beyond a narrow pursuit of shareholder value. In response, many companies now issue ESG (Environmental, Societal, and Governance)... View Details
Keywords: ESG Reporting; Sustainability; Corporate Purpose; Greenhouse Gas; Activity-Based Costing; Environmental Sustainability; Environmental Management; Corporate Social Responsibility and Impact; Measurement and Metrics; Goals and Objectives; Agreements and Arrangements; Corporate Accountability
- 2021
- Working Paper
The Value of Data and Its Impact on Competition
By: Marco Iansiti
Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to... View Details
- 2021
- Article
Decarbonizing Everything
By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim, David Turkington and Hui (Stacie) Wang
We analyze how the use of different climate risk measures leads to different portfolio carbon outcomes and risk-adjusted returns. Our findings are synthesized in a rules-based investment framework, which selects a different type of climate metric across industries and... View Details
Keywords: Climate Risk; ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Disclosure Metrics; ESG Ratings; Investing; Investing For Impact; Investment Strategy; Environment; Decarbonization; Climate Change; Environmental Sustainability; Environmental Management; Environmental Accounting; Investment; Strategy; Investment Portfolio; Investment Return
- June 2021 (Revised November 2024)
- Case
MicroStrategy: Accounting for Cryptocurrency
By: Jonas Heese and Annelena Lobb
On February 15, 2021, Alina Moss, an analyst who covered the technology company MicroStrategy, pondered a rise in MicroStrategy’s share price. Moss had dialed into the company earnings call. When it ended, Moss had more questions than answers. MicroStrategy had... View Details
- 2021
- Working Paper
Studying the U.S.-Based Portfolio Companies of U.S. Impact Investors
By: M. Diane Burton, Gurveen Chadha, Shawn A. Cole, Abhishek Dev, Christina Jarymowycz, Leslie Jeng, Laura Kelley, Josh Lerner, Jaime R. Diaz Palacios, Yue (Cynthia) Xu and T. Robert Zochowski
Recent years have seen a dramatic increase in the reliance on market-based solutions to social and environmental problems around the world (Barman 2016; Horvath and Powell 2020). The growth of impact investing is a vivid example of this trend and, although there have... View Details
- June 2021
- Article
Developing a Value Framework: Utilizing Administrative Data to Assess an Enhanced Care Initiative
By: Casey J. Allen, Jarrod S. Eska, Nikhil G. Thaker, Thomas W. Feeley, Robert S. Kaplan, Ryan W. Huey, Ching-Wei D. Tzeng, Jeffrey E. Lee, Steven J. Frank, Thomas A. Aloia, Vijaya Gottumukkala and Matthew H.G. Katz
We used national administrative data to assess multiple domains of value associated with enhanced recovery pathways for patients undergoing pancreatic surgery. Value metrics included in-hospital mortality, complication rates, length of stay (LOS), 30-day readmission... View Details
- May 2021
- Simulation
Customer Compatibility Exercise Application
By: Ryan W. Buell
Customers impose considerable variability on the operating systems of service organizations. They show up when they wish (arrival variability), they ask for different things (request variability), they vary in their willingness and ability to help themselves (effort... View Details
- May 2021 (Revised February 2024)
- Teaching Note
THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)
By: Ayelet Israeli and Jill Avery
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; 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; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
- May 2021
- Article
The Firm Next Door: Using Satellite Images to Study Local Information Advantage
By: Jung Koo Kang, Lorien Stice-Lawrence and Forester Wong
We use novel satellite data that track the number of cars in the parking lots of 92,668 stores for 71 publicly listed U.S. retailers to study the local information advantage of institutional investors. We establish car counts as a timely measure of store-level... View Details
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
- April 2021
- Case
Glass-Shattering Leaders: Ros Atkins
By: Boris Groysberg and Colleen Ammerman
Ros Atkins launched the 50:50 Project on a BBC news program he anchored, deciding with his team to start tracking the gender of the contributors and experts featured on the show. Before long, it was clear that monitoring the data led to increased awareness of a gender... View Details