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- 2024
- Working Paper
Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency
By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups...
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Hammoudeh, Mosab, Joshua Lev Krieger, and Jiajie Xu. "Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency." Harvard Business School Working Paper, No. 24-067, March 2024.
- April 2024
- Case
Managing AI Risks in Consumer Banking
By: Suraj Srinivasan, Satish Tadikonda, Paul Dongha, Manoj Saxena and Radhika Kak
In early 2024, Ruth Jones, head of digital banking at Signa Bank, a (fictitious) European consumer bank, was thinking about how to best incorporate GenAI capabilities to improve efficiencies and create new ways to improve the customer experience. Where were the biggest...
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Srinivasan, Suraj, Satish Tadikonda, Paul Dongha, Manoj Saxena, and Radhika Kak. "Managing AI Risks in Consumer Banking." Harvard Business School Case 124-093, April 2024.
- April 2024
- Case
Spotify Lyrics: Free or Paid?
- April 8, 2024
- Article
Loyalty Programs May Limit Competition, and They Could Be Pushing Prices up for Everyone
By: Alexandru Nichifor and Scott Duke Kominers
Keywords:
Customer Focus and Relationships;
Competitive Strategy;
Consumer Behavior;
Brands and Branding
Nichifor, Alexandru, and Scott Duke Kominers. "Loyalty Programs May Limit Competition, and They Could Be Pushing Prices up for Everyone." The Conversation (April 8, 2024).
- April 2024
- Case
The Engine
By: Joshua Lev Krieger, Jim Matheson, Fiona Murray and Nicholas Christman
- April 2024
- Case
LinkedIn: Project InVersion
- April 2024
- Article
Decision Authority and the Returns to Algorithms
By: Hyunjin Kim, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
We evaluate a pilot in an Inspections Department to explore the returns to a pair of algorithms that varied in their sophistication. We find that both algorithms provided substantial prediction gains, suggesting that even simple data may be helpful. However, these...
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Keywords:
Algorithmic Aversion;
Algorithmic Decision Making;
Algorithms;
Public Entrepreneurship;
Govenment;
Local Government;
Crowdsourcing;
Crowdsourcing Contests;
Inspection;
Principal-agent Theory;
Government Administration;
Decision Making;
Public Administration Industry;
United States
Kim, Hyunjin, Edward L. Glaeser, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Decision Authority and the Returns to Algorithms." Strategic Management Journal 45, no. 4 (April 2024): 619–648.
- April 2024
- Teaching Plan
Fixie and Conversational AI Sidekicks
By: Jeffrey J. Bussgang and Tom Quinn
A teaching note to accompany the case “Fixie and Conversational AI Sidekicks,” HBS No. 824-037.
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- April 2024
- Article
Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior
By: Raymond Kluender
Pay-as-you-go contracts reduce minimum purchase requirements which may increase market participation. We randomize the introduction and price(s) of a novel pay-as-you-go contract to the California auto insurance market where 17 percent of drivers are uninsured. The...
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Kluender, Raymond. "Pay-As-You-Go Insurance: Experimental Evidence on Consumer Demand and Behavior." Review of Financial Studies 37, no. 4 (April 2024): 1118–1148.
- 2024
- Working Paper
The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments
By: Raymond Kluender, Neale Mahoney, Francis Wong and Wesley Yin
Two in five Americans have medical debt, nearly half of whom owe at least $2,500. Concerned by this burden, governments and private donors have undertaken large, high-profile efforts to relieve medical debt. We partnered with RIP Medical Debt to conduct two randomized...
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Kluender, Raymond, Neale Mahoney, Francis Wong, and Wesley Yin. "The Effects of Medical Debt Relief: Evidence from Two Randomized Experiments." NBER Working Paper Series, No. 32315, April 2024.
- March 2024 (Revised March 2024)
- Case
Angel City Football Club: Scoring a New Model
By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller
In January 2024, Kara Nortman, Julie Uhrman, and Natalie Portman, the founders of Angel City Football Club (ACFC) were developing the club’s first three-year strategic plan. Founded in 2020, ACFC had a star-studded investor group, including Portman and celebrities such...
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- March 2024
- Supplement
Miracle Therapeutics (B)
By: Satish Tadikonda, William Marks and Wendi Yajnik
Tadikonda, Satish, William Marks, and Wendi Yajnik. "Miracle Therapeutics (B)." Harvard Business School Supplement 824-044, March 2024.
- March 2024
- Supplement
Shanty Real Estate: Sample Classroom Results
By: Michael Luca, Jesse M. Shapiro and Nathan Sun
- March 2024 (Revised April 2024)
- Case
Supercell 2.0: Clash of Plans
By: Jeffrey F. Rayport and George Gonzalez
Founded in 2010, Supercell was a Helsinki, Finland-based mobile gaming company that had developed and launched five global hit mobile games: Clash of Clans, Clash Royale, Hay Day, Brawl Stars, and Boom Beach. The company’s early philosophy was that it could produce...
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Rayport, Jeffrey F., and George Gonzalez. "Supercell 2.0: Clash of Plans." Harvard Business School Case 824-180, March 2024. (Revised April 2024.)
- March 2024
- Case
Teamworks: Tackling a Forecasting Fumble (A)
By: N. Louis Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional...
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Keywords:
Acquisition;
Business Growth and Maturation;
Communication Strategy;
Decisions;
Forecasting and Prediction;
Business Cycles;
Technological Innovation;
Sports;
Growth and Development Strategy;
Resource Allocation;
Marketing;
Sales;
Business Strategy;
Expansion;
Sports Industry;
Technology Industry;
United States;
North Carolina
- March 2024
- Supplement
Teamworks: Tackling a Forecasting Fumble (B)
By: N. Louis Shipley, Stacy Straaberg and Tom Quinn
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional...
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Keywords:
Acquisition;
Business Growth and Maturation;
Communication Strategy;
Decisions;
Forecasting and Prediction;
Business Cycles;
Technological Innovation;
Sports;
Growth and Development Strategy;
Resource Allocation;
Marketing;
Sales;
Business Strategy;
Expansion;
Sports Industry;
Technology Industry;
United States;
North Carolina
- March 2024
- Case
The CHIPS Program Office
By: Mitchell Weiss and Sebastian Negron-Reichard
In February 2023, U.S. Commerce Secretary Gina Raimondo weighed signing off on a Notice of Funding Opportunity (“NOFO”) with at least one unconventional provision: a pre-application (“pre-app”) to the actual application for parts of $39 billion in direct semiconductor...
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- March 2024 (Revised April 2024)
- Case
Out of Hand Theater: Monetizing Creativity
Ariel Fristoe co-founded the Out of Hand Theater ensemble (OOH) in Atlanta in 2001. OOH began as a traditional theater nonprofit, which Ariel and her colleagues ran on a shoestring budget. But over the years, the group transformed: First, around 2010, OOH pivoted to...
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- March 2024
- Simulation
'Storrowed'
By: Mitchell Weiss
The game was built to accompany "Storrowed": A Generative AI Exercise, available through Harvard Business Publishing. The game adds a timing element to "Storrowed" and enables the teacher to reward teams for strong prompts or penalize teams for believing AI...
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Keywords:
AI and Machine Learning
- March 2024
- Teaching Note
'Storrowed': A Generative AI Exercise
By: Mitchell Weiss
Teaching Note for HBS Exercise No. 824-188. “Storrowed” is an exercise to help participants raise their proficiency with generative AI. It begins by highlighting a problem: trucks getting wedged underneath bridges in Boston, Massachusetts on the city’s Storrow Drive....
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