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- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- 2023
- Chapter
Inflation and Misallocation in New Keynesian Models
By: Alberto Cavallo, Francesco Lippi and Ken Miyahara
The New Keynesian framework implies that sluggish price adjustment results in a distorted allocation of resources. We use a simple model to quantify these unobservable distortions, using data that depict the price-setting behavior of firms, specifically the frequency... View Details
Cavallo, Alberto, Francesco Lippi, and Ken Miyahara. "Inflation and Misallocation in New Keynesian Models." In ECB Forum on Central Banking 26-28 June 2023, Sintra, Portugal: Macroeconomic Stabilisation in a Volatile Inflation Environment. European Central Bank, 2023.
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
- June 2023 (Revised November 2024)
- Case
Albert Einstein: Changing the World
By: Robert Simons and Shirley Sun
This case traces the rise of Albert Einstein from a small town in Germany to a towering intellectual leader who revolutionized the field of physics. The case describes his early education and his penchant for individual thinking and non-conformity. A committed... View Details
Keywords: Science; Research; Personal Characteristics; Mission and Purpose; Success; Work-Life Balance; Higher Education; Power and Influence
Simons, Robert, and Shirley Sun. "Albert Einstein: Changing the World." Harvard Business School Case 123-025, June 2023. (Revised November 2024.)
- 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 12, 2023
- Article
How AI Will Accelerate the Circular Economy
By: Shirley Lu and George Serafeim
Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details
Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Industrial Products Industry; Consumer Products Industry; Technology Industry
Lu, Shirley, and George Serafeim. "How AI Will Accelerate the Circular Economy." Harvard Business Review Digital Articles (June 12, 2023).
- 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.
- May–June 2023
- Article
Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut
By: Fabrizio Fantini and Das Narayandas
Advanced analytics can help companies solve a host of management problems, including those related to marketing, sales, and supply-chain operations, which can lead to a sustainable competitive advantage. But as more data becomes available and advanced analytics are... View Details
Fantini, Fabrizio, and Das Narayandas. "Analytics for Marketers: When to Rely on Algorithms and When to Trust Your Gut." Harvard Business Review 101, no. 3 (May–June 2023): 82–91.
- June 2023 (Revised February 2024)
- Case
Betting on Green Steel
By: George Serafeim and Sofoklis Melissovas
'Betting on Green Steel' traces the innovative journey embarked upon by a group of MBA students who have set out to conceive a novel steelmaker that pioneers the production of green steel. The ensemble is confronted with a series of critical choices that will shape the... View Details
Keywords: Decarbonization; Sustainability Management; Technology; Industrialization; Climate Risk; Energy; Entrepreneurship; Environmental Sustainability; Technology Adoption; Climate Change; Innovation and Invention; Business Strategy; Family Business; Steel Industry; Middle East; India
Serafeim, George, and Sofoklis Melissovas. "Betting on Green Steel." Harvard Business School Case 123-101, June 2023. (Revised February 2024.)
- June 2023 (Revised January 2024)
- Case
Chipmaking in the Desert: Taiwan Semiconductor Manufacturing Company's Global Expansion
By: William C. Kirby and Noah B. Truwit
On December 6, 2022, in Phoenix, Arizona, Taiwan Semiconductor Manufacturing Company (TSMC) Executive Chairman Mark Liu outlined the company’s ambitious plans to invest $40 billion to build semiconductor manufacturing plants in Phoenix. The event also celebrated the... View Details
Keywords: Geopolitical Units; Government and Politics; Government Legislation; Expansion; Market Entry and Exit; Semiconductor Industry; Taiwan; United States
Kirby, William C., and Noah B. Truwit. "Chipmaking in the Desert: Taiwan Semiconductor Manufacturing Company's Global Expansion." Harvard Business School Case 323-101, June 2023. (Revised January 2024.)
- June 2023
- Case
Verve Therapeutics: Taking DNA Editing to Heart
By: Shikhar Ghosh and Shweta Bagai
Verve Therapeutics, a public biotech company based in Boston, created a novel approach to addressing cardiovascular disease (CVD) - a leading cause of deaths globally. The company's approach was a single shot treatment to permanently lower cholesterol, thus reducing... View Details
Keywords: AI; Genetic Engineering; Medicine; Health Care and Treatment; Genetics; Innovation Strategy; Business and Stakeholder Relations; Medical Specialties; Innovation and Invention; Entrepreneurship; Biotechnology Industry
Ghosh, Shikhar, and Shweta Bagai. "Verve Therapeutics: Taking DNA Editing to Heart." Harvard Business School Case 823-113, June 2023.
- June, 2023
- Article
Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change
By: Marissa Kimsey, Thijs Geradts and Julie Battilana
There is a growing interest in large companies pursuing a new purpose—changing their core reason for being from a singular focus on financial gain to a renewed responsibility to people and the planet alongside profit. Yet knowledge of how a large company can walk that... View Details
Kimsey, Marissa, Thijs Geradts, and Julie Battilana. "Walking the Purpose-Talk Inside a Large Company: Sustainable Product Development as an Instance of Divergent Change." Special Issue on Corporate Purpose. Strategy Science 8, no. 2 (June, 2023): 311–321.
- 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.
- May 2023 (Revised November 2023)
- Case
Arcos Dorados: Decarbonizing McDonald's in Latin America
By: George Serafeim, Michael W. Toffel, Jenyfeer Martinez Buitrago and Mariana Cal
This case describes the decarbonization strategy of Arcos Dorados—McDonald’s largest independent franchisee, operating in 20 countries and territories in Latin America and the Caribbean—and how the company measured its greenhouse gas (GHG) emissions, including those... View Details
Keywords: Environmental Accounting; Animal-Based Agribusiness; Plant-Based Agribusiness; Change Management; Forecasting and Prediction; Environmental Sustainability; Food; Growth Management; Supply Chain; Corporate Social Responsibility and Impact; Strategy; Agriculture and Agribusiness Industry; Food and Beverage Industry; Green Technology Industry; Consumer Products Industry; Latin America; North and Central America; South America
Serafeim, George, Michael W. Toffel, Jenyfeer Martinez Buitrago, and Mariana Cal. "Arcos Dorados: Decarbonizing McDonald's in Latin America." Harvard Business School Case 623-017, May 2023. (Revised November 2023.)
- May 2023 (Revised June 2023)
- Case
Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain
By: Shirley Lu and Robert S. Kaplan
The case describes Harvard University’s consideration to decarbonize its supply chain by replacing cement with a low-carbon substitute called Pozzotive®. Developed and produced by Urban Mining Industries, Pozzotive® is a ground-glass material made with post-consumer... View Details
Keywords: Carbon Emissions; Blockchain; Supply Chain; Green Technology; Climate Change; Environmental Sustainability
Lu, Shirley, and Robert S. Kaplan. "Harvard University and Urban Mining Industries: Decarbonizing the Supply Chain." Harvard Business School Case 123-076, May 2023. (Revised June 2023.)
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "An Art & A Science: How to Apply Design Thinking to Data Science Challenges." Harvard Business School Technical Note 623-070, April 2023.
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
Keywords: Supply Chain Management; Production; Risk and Uncertainty; Analytics and Data Science; Food and Beverage Industry
Parzen, Michael, Eddie Lin, Douglas Ng, and Jessie Li. "Fizzy Fusion: When Data-Driven Decision Making Failed." Harvard Business School Case 623-071, April 2023.
- April 5, 2023
- Article
We Need an Operation Warp Speed for Long COVID
By: Esther K. Choo and Scott Duke Kominers
With millions of people affected and at least $1 trillion of economic value at stake, long COVID is our next national health emergency. View Details
Keywords: COVID; COVID-19; COVID-19 Pandemic; Scientific Research; Policy; Health Policy; Innovation; Science; Public Finance; Public Health; Health Disorders; Health Care and Treatment; Human Capital
Choo, Esther K., and Scott Duke Kominers. "We Need an Operation Warp Speed for Long COVID." Scientific American (website) (April 5, 2023).
- April 3, 2023
- Article
Getting a Clearer View of Your Company’s Carbon Footprint
By: Robert S. Kaplan, Karthik Ramanna and Stefan Reichelstein
E-liability accounting is a new technique that will help customers factor in a product’s environmental footprint into their purchasing decisions and will help create a competition dynamic that leads to reduced carbon outputs. This article describes two pilot studies—by... View Details
Kaplan, Robert S., Karthik Ramanna, and Stefan Reichelstein. "Getting a Clearer View of Your Company’s Carbon Footprint." Harvard Business Review Digital Articles (April 3, 2023).