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- February 2021
- Tutorial
T-tests: Theory and Practice
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with... View Details
- February 2021 (Revised June 2021)
- Case
Bairong and the Promise of Big Data
By: Lauren Cohen, Xiaoyan Zhang and Spencer C.N. Hagist
Bairong CEO Felix Zhang, in launching his credit scoring start-up that incorporates 74,000 variables per individual, found strong initial success. However, the shifting regulatory environment, growing breadth of competitors, difficulties in retaining top talent, and... View Details
- January–February 2021
- Article
Cross‐firm Return Predictability and Accounting Quality
By: Wen Chen, Mozaffar Khan, Leonid Kogan and George Serafeim
We test the hypothesis that if poor accounting quality (AQ) is associated with poor investor understanding of firms’ revenue and cost structures, then poor AQ stocks likely respond more slowly than good AQ stocks to new non‐idiosyncratic information that affects both... View Details
- January 2021 (Revised March 2021)
- Technical Note
Strategy and Strategic Thinking
This note gives managers a concrete perspective on what ‘a strategy’ really is, what makes a decision ‘strategic,’ and what ‘strategic thinking’ means. It also gives them practical frameworks to assess whether some set of decisions is really a strategy and how to... View Details
- December 2020
- Article
Monetary Policy and Global Banking
By: Falk Bräuning and Victoria Ivashina
When central banks adjust interest rates, the opportunity cost of lending in local currency changes, but—in absence of frictions—there is no spillover effect to lending in other currencies. However, when equity capital is limited, global banks must benchmark domestic... View Details
- December 2020
- Article
What Has Changed? The Impact of COVID Pandemic on the Technology and Innovation Management Research Agenda
By: Gerard George, Karim R. Lakhani and Phanish Puranam
Whereas the pandemic has tested the agility and resilience of organizations, it forces a deeper look at the assumptions underlying theoretical frameworks that guide managerial decisions and organizational practices. In this commentary, we explore the impact of the... View Details
- November 2020 (Revised February 2021)
- Case
The Roca Brothers: Innovation in Gastronomy
By: Boris Groysberg, Evan M.S. Hecht and Katherine Connolly Baden
Chef Joan Roca, sommelier Josep Roca and pastry chef Jordi Roca were three brothers based in Girona, Spain whose complementary skills, collective ability, and relentless drive for innovation had brought worldwide fame and awards to their restaurant, El Celler de Can... View Details
- November 2020
- Article
When the Boss Comes to Town: The Effects of Headquarters' Visits on Facility-Level Misconduct
By: Jonas Heese and Gerardo Pérez Cavazos
We study the effects of headquarters’ visits on facility-level misconduct. We use the staggered introduction of airline routes to identify exogenous travel-time reductions between headquarters and facilities and test whether such reductions affect facility-level... View Details
- October 2020
- Teaching Plan
Merck: COVID-19 Vaccines
By: Willy C. Shih
COVID-19 infections were still climbing across the U.S. and many other parts of the world in September 2020, and it seemed that every time Ken Frazier, the CEO of Merck & Co. consented to an interview in recent months he always seemed to hear the same question,... View Details
- October 6, 2020
- Article
Test Your Board's Readiness for the Post-COVID Era
By: Lynn S. Paine
Research suggests that well-run boards take the process of self-evaluation quite seriously, often using a combination of director surveys and personal interviews to assess the functioning and effectiveness of the board, its committees, and its individual members. As... View Details
- October 2020 (Revised November 2023)
- Case
COVID-19 Testing at Everlywell
By: Jeffrey J. Bussgang and Olivia Hull
In March 2020, as COVID-19 spreads rapidly across the U.S., Everlywell founder Julia Cheek considers how to respond as a small start-up specializing in at-home lab testing. After making dramatic budget cuts, she decides to pivot the organization to address the... View Details
Keywords: Entrepreneurship; Business Strategy; Venture Capital; Health Care and Treatment; Health Disorders; Leading Change; Technology Adoption; Digital Platforms; Competitive Strategy; Science; Adaptation; Corporate Social Responsibility and Impact; Crisis Management; Social Entrepreneurship; Ethics; Government Legislation; Health; Health Testing and Trials; Health Pandemics; Consumer Products Industry; Health Industry; Technology Industry; Texas; United States
- October 2020
- Teaching Note
Testing Autonomy in Pittsburgh
By: Mitchell Weiss and Mariana Oseguera Rodriguez
- 2022
- Working Paper
Heterogeneity of Gain-Loss Attitudes and Expectations-Based Reference Points
By: Pol Campos-Mercade, Lorenz Goette, Thomas Graeber, Alex Kellogg and Charles Sprenger
Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines heterogeneity in gain-loss attitudes, and explores its implications for identifying models of the reference point. In two experimental settings we measure gain-loss... View Details
- September 2020 (Revised February 2024)
- Teaching Note
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (B): Including Customer-Level Demographic Data
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (C): Potential Discrimination through Algorithmic Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
- September 2020 (Revised July 2022)
- Exercise
Artea (D): Discrimination through Algorithmic Bias in Targeting
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; 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
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details