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- May 2023 (Revised June 2023)
- Case
Novartis (A): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Leadership; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (A): Reimagining Medicine." Harvard Business School Case 723-443, May 2023. (Revised June 2023.)
- May 2023 (Revised June 2023)
- Supplement
Novartis (B): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Care and Treatment; Business Model; Production; Business Strategy; Pharmaceutical Industry
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (B): Reimagining Medicine." Harvard Business School Supplement 723-444, May 2023. (Revised June 2023.)
- May 2023 (Revised June 2023)
- Supplement
Novartis (C): Reimagining Medicine
By: Ramon Casadesus-Masanell, Claudio Feser, Karolin Frankenberger and David Redaschi
This case unfolds around the first-ever approved personalized cancer treatment, how Novartis wrapped it into a new business model design, and how Novartis scaled it. Novartis — one of the largest pharmaceutical companies in the world — is, among other ventures,... View Details
Keywords: Health Testing and Trials; Health Care and Treatment; Business Model; Problems and Challenges; Pharmaceutical Industry; Switzerland
Casadesus-Masanell, Ramon, Claudio Feser, Karolin Frankenberger, and David Redaschi. "Novartis (C): Reimagining Medicine." Harvard Business School Supplement 723-445, May 2023. (Revised June 2023.)
- May 2023
- Article
Decarbonizing Health Care: Engaging Leaders in Change
By: Vivian S. Lee, Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio and Robert S. Kaplan
Health care leaders are often surprised to learn that their operations contribute
significantly to a warming climate. In addition to their roles as responders to and victims
of extreme weather events, health care organizations have an obligation to reduce... View Details
Keywords: Health Care; Decarbonization; Carbon Emissions; Net-zero Emissions; Climate Change; Health Care and Treatment; Health Industry
Lee, Vivian S., Kathy Gerwig, Emily Hough, Kedar Mate, Robert Biggio, and Robert S. Kaplan. "Decarbonizing Health Care: Engaging Leaders in Change." NEJM Catalyst Innovations in Care Delivery 4, no. 5 (May 2023).
- May 2023
- Article
Equilibrium Effects of Pay Transparency
By: Zoë B. Cullen and Bobak Pakzad-Hurson
The public discourse around pay transparency has focused on the direct effect: how workers seek
to rectify newly-disclosed pay inequities through renegotiations. The question of how wage-setting
and hiring practices of the firm respond in equilibrium has received... View Details
Keywords: Pay Transparency; Online Labor Market; Privacy; Wage Gap; Corporate Disclosure; Wages; Negotiation
Cullen, Zoë B., and Bobak Pakzad-Hurson. "Equilibrium Effects of Pay Transparency." Econometrica 91, no. 3 (May 2023): 765–802. (Lead Article.)
- May 2023
- Article
Political Ideology and International Capital Allocation
By: Elisabeth Kempf, Mancy Luo, Larissa Schäfer and Margarita Tsoutsoura
Does investors' political ideology shape international capital allocation? We provide evidence from two settings—syndicated corporate loans and equity mutual funds—to show ideological alignment with foreign governments affects the cross-border capital allocation by... View Details
Keywords: Capital Flows; Syndicated Loans; Mutual Funds; Partisanship; Polarization; Elections; Political Ideology; Banks and Banking; Institutional Investing; Behavioral Finance; Decision Choices and Conditions
Kempf, Elisabeth, Mancy Luo, Larissa Schäfer, and Margarita Tsoutsoura. "Political Ideology and International Capital Allocation." Journal of Financial Economics 148, no. 2 (May 2023): 150–173.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- April 2023 (Revised September 2023)
- Case
Apple's iPhone Revolution: Pioneering the Circular Economy
By: George Serafeim
When asked to identify an example of a circular economy business model that has generated billions in revenues for a company, ChatGPT, the famous chatbot that in 2022 rocked the world with its ability to perform a variety of tasks, immediately identified and... View Details
Keywords: Iphone; Smartphone; Waste Management; Recycling; Innovation; Product Upgrade; Product Life Cycle; Sustainability; Climate Impact; Digital; Business Model Innovation; Climate Change; Information Technology; Business Model; Electronics Industry; Information Technology Industry
Serafeim, George. "Apple's iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Case 123-089, April 2023. (Revised September 2023.)
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- April 18, 2023
- Article
The Rebirth of Software as a Service
By: Frank V. Cespedes and Jacco van der Kooij
Traditional sales models focus on customer acquisition and the “funnel” or “pipeline” metrics that dominate talk about sales. But this approach falls short when applied to a recurring revenue business, where the customer life cycle looks more like a bowtie, not a... View Details
Cespedes, Frank V., and Jacco van der Kooij. "The Rebirth of Software as a Service." Harvard Business Review (website) (April 18, 2023).
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners... View Details
Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- April 6, 2023
- Article
A New NFT Launch Strategy: The Wave Mint
By: Scott Duke Kominers and 1337 Skulls Sers
In an NFT project, the mint—the process by which tokens are initially allocated—largely determines who your community is and how they and the broader market view the project going forward. In this piece, we review a new minting strategy recently introduced by 1337... View Details
Keywords: NFTs; Mechanism Design; Sales Management; Sales Model; Crypto Economy; Non-fungible Tokens; Networks; Product Launch; Auctions; Market Design
Kominers, Scott Duke, and 1337 Skulls Sers. "A New NFT Launch Strategy: The Wave Mint." a16zcrypto.com (April 6, 2023).
- April 2023 (Revised July 2023)
- Case
Fermenting Accounting Problems at Vermont Kombucha Corp.
By: Tatiana Sandino and Marshal Herrmann
Founded in 2005, Vermont Kombucha Corp. (V-Ko) was an early mover in the fledgling U.S. market for kombucha, a drink brewed for its health benefits. Early on, the company captured more than 90% of market share. Under the leadership of its founder and CEO, Joe Williams,... View Details
Keywords: Going Public; Business Model; Financial Reporting; Ethics; Corporate Governance; Stock Shares; Food and Beverage Industry
Sandino, Tatiana, and Marshal Herrmann. "Fermenting Accounting Problems at Vermont Kombucha Corp." Harvard Business School Case 123-064, April 2023. (Revised July 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 2023 (Revised September 2023)
- Case
Levels: The Remote, Asynchronous, Deep Work Management System
By: Joseph B. Fuller and George Gonzalez
Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
- April 2023
- Article
Inattentive Inference
By: Thomas Graeber
This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
Pawelczyk, Martin, Himabindu Lakkaraju, and Seth Neel. "On the Privacy Risks of Algorithmic Recourse." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 206 (April 2023).
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
Keywords: Price; Demand and Consumers; AI and Machine Learning; Investment Return; Entertainment and Recreation Industry; Sports Industry
Alley, Michael, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li, and Georgia Perakis. "Pricing for Heterogeneous Products: Analytics for Ticket Reselling." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 409–426.
- April 2023
- Article
The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences
By: Armin Falk, Anke Becker, Thomas Dohmen, David B. Huffman and Uwe Sunde
Incentivized choice experiments are a key approach to measuring preferences in economics but are also costly. Survey measures are a low-cost alternative but can suffer from additional forms of measurement error due to their hypothetical nature. This paper seeks to... View Details
Keywords: Survey Validation; Experiment; Preference Measurement; Surveys; Economics; Behavior; Measurement and Metrics
Falk, Armin, Anke Becker, Thomas Dohmen, David B. Huffman, and Uwe Sunde. "The Preference Survey Module: A Validated Instrument for Measuring Risk, Time, and Social Preferences." Management Science 69, no. 4 (April 2023): 1935–1950.