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- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available... View Details
- March 2024
- Case
Unintended Consequences of Algorithmic Personalization
By: Eva Ascarza and Ayelet Israeli
“Unintended Consequences of Algorithmic Personalization” (HBS No. 524-052) investigates algorithmic bias in marketing through four case studies featuring Apple, Uber, Facebook, and Amazon. Each study presents scenarios where these companies faced public criticism for... View Details
- March 2024
- Article
Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard
By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require... View Details
- 2025
- Working Paper
Exports in Disguise? Trade Rerouting During the U.S.-China Trade War
By: Ebehi Iyoha, Edmund Malesky, Jaya Wen and Sung-Ju Wu
This paper introduces a new measure of tariff evasion through rerouting and applies it to the
2018 U.S.–China trade war, focusing on Vietnam as a transit country. We use transaction-level trade data and define rerouting as the flow of a granular eight-digit Harmonized... View Details
- March 2024
- Article
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
By: Shai Bernstein, Richard Townsend and Ting Xu
Using proprietary data from AngelList Talent, we study how individuals’ job search and application behavior changed during the COVID-19 downturn. We find that job seekers shifted their searches toward more established firms and away from early-stage startups, even... View Details
- March–April 2024
- Article
How Companies Should Weigh in on a Controversy: A Better Approach to Stakeholder Management
By: David M. Bersoff, Sandra J. Sucher and Peter Tufano
Executives need guidance about managing their organizations’ engagement with societal issues—including hot-button topics such as gender, climate, and racial discrimination. Success in this realm does not mean avoiding public controversy or achieving unanimous support... View Details
- March 2024
- Article
Medicare Price Negotiation and Pharmaceutical Innovation Following the Inflation Reduction Act
By: Matthew Vogel, Pragya Kakani, Amitabh Chandra and Rena M. Conti
The Inflation Reduction Act (IRA) requires Medicare to negotiate lower prices for some medicines with high Medicare spending. Using historical data from public and proprietary sources to apply the IRA's negotiation criteria retrospectively, we identify all drugs that... View Details
- March 2024
- Teaching Note
Safecast: Bootstrapping Human Capital to Big Data
By: Ethan Bernstein
Teaching Note for HBS Case No. 419-033. View Details
- February 2024
- Teaching Note
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
- February 2024
- Teaching Note
Data Science at the Warriors
By: Iavor I Bojinov and Jessie Li
Teaching Note for HBS Case No. 622-048. View Details
- February 6, 2024
- Article
Find the AI Approach That Fits the Problem You’re Trying to Solve
By: George Westerman, Sam Ransbotham and Chiara Farronato
AI moves quickly, but organizations change much more slowly. What works in a lab may be wrong for your company right now. If you know the right questions to ask, you can make better decisions, regardless of how fast technology changes. You can work with your technical... View Details
- February 2024
- Supplement
Data-Driven Denim: Financial Forecasting at Levi Strauss: Historical Data
By: Mark Egan
- February 2024
- Case
ReSpo.Vision: The Kickstart of an AI Sports Revolution
By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an... View Details
Keywords: Business Startups; Business Plan; Experience and Expertise; Talent and Talent Management; Decisions; Decision Choices and Conditions; Forecasting and Prediction; Entrepreneurship; Venture Capital; AI and Machine Learning; Analytics and Data Science; Applications and Software; Business Strategy; Sports Industry; Technology Industry; Poland; Europe
- February 2024 (Revised February 2024)
- Teaching Note
Travelogo: Understanding Customer Journeys
By: Eva Ascarza and Ta-Wei Huang
Teaching Note for HBS Exercise 524-044. The exercise aims to teach students about 1) Customer Segmentation; and 2) constructing buying personas, 3) Get actionable insights from clickstream data. View Details
- February 2024
- Teaching Note
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
Teaching Note for HBS Case No. 422-050. In 2016, Mayor Marty Walsh of Boston introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. View Details
- February 2024
- Module Note
Data-Driven Marketing in Retail Markets
By: Ayelet Israeli
This note describes an eight-class sessions module on data-driven marketing in retail markets. The module aims to familiarize students with core concepts of data-driven marketing in retail, including exploring the opportunities and challenges, adopting best practices,... View Details
Keywords: Data; Data Analytics; Retail; Retail Analytics; Data Science; Business Analytics; ＂Marketing Analytics＂; Omnichannel; Omnichannel Retailing; Omnichannel Retail; DTC; Direct To Consumer Marketing; Ethical Decision Making; Algorithmic Bias; Privacy; A/B Testing; Descriptive Analytics; Prescriptive Analytics; Predictive Analytics; Analytics and Data Science; E-commerce; Marketing Channels; Demand and Consumers; Marketing Strategy; Retail Industry
- 2024
- Working Paper
Open Devices and Slices: Evidence from Wi-Fi Equipment
By: Do Yoon Kim, Roberto Fontana and Shane Greenstein
Prior studies suggest that openness shapes the introduction of new products. This study
collects novel data on all routers and subcomponents introduced between 2000 and 2018. We
characterize each firm's position in a supply chain as upstream component providers... View Details
- February 2024
- Article
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of... View Details