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- September 2020 (Revised July 2022)
- Technical Note
Algorithmic Bias in Marketing
By: Ayelet Israeli and Eva Ascarza
This note focuses on algorithmic bias in marketing. First, it presents a variety of marketing examples in which algorithmic bias may occur. The examples are organized around the 4 P’s of marketing – promotion, price, place and product—characterizing the marketing... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Promotion; ＂Marketing Analytics＂; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeting; Targeted Advertising; Pricing Algorithms; Ethical Decision Making; Customer Heterogeneity; Marketing; Race; Ethnicity; Gender; Diversity; Prejudice and Bias; Marketing Communications; Analytics and Data Science; Analysis; Decision Making; Ethics; Customer Relationship Management; E-commerce; Retail Industry; Apparel and Accessories Industry; United States
- 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 (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
- 2020
- Working Paper
Measuring the Cost of Corporate Water Usage
By: DG Park, George Serafeim and T. Robert Zochowski
We develop a methodology that calculates the impact that organizations have on the environment through their water consumption relating to water stress risk. Using the methodology, we derive estimates for four companies that show how assumptions on the geographic... View Details
- Fall 2020
- Article
Climate in the Boardroom: Struggling to Reconcile Business as Usual & the End of the World as We Know It
How does one witness to businesspeople about climate change? Climate change is a problem for the collective and the long term, whereas business often requires a ruthless focus on the individual and the quarter. Climate change is an ethical catastrophe whose solution... View Details
- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation... View Details
- 2020
- Article
Research on Corporate Sustainability: Review and Directions for Future Research
By: Jody Grewal and George Serafeim
We review the literature on corporate sustainability and provide directions for future research. Our review focuses on three actions: measuring, managing and communicating corporate sustainability performance. Measurement is the least developed of the three and... View Details
Keywords: Sustainability; Sustainability Reporting; Sustainability Management; Nonfinancial Disclosure; Nonfinancial Information; Nonfinancial Performance; Materiality; ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Disclosure Metrics; ESG Ratings; ESG Reporting; Inequality; Corporate Social Responsibility; Accounting; Finance; Management; Strategy; Environmental Sustainability; Climate Change; Diversity; Equality and Inequality; Corporate Disclosure; Measurement and Metrics; Corporate Governance; Corporate Accountability; Corporate Social Responsibility and Impact
- September–October 2020
- Article
Social-Impact Efforts That Create Real Value
By: George Serafeim
Until the mid-2010s few investors paid attention to environmental, social, and governance (ESG) data—information about companies’ carbon footprints, labor policies, board makeup, and so forth. Today the data is widely used by investors. How can organizations create... View Details
Keywords: Sustainability; Sustainability Management; ESG; ESG (Environmental, Social, Governance) Performance; ESG Disclosure; ESG Disclosure Metrics; ESG Ratings; ESG Reporting; Social Impact; Impact Measurement; Social Innovation; Purpose; Corporate Purpose; Corporate Social Responsibility; Strategy; Social Enterprise; Society; Accounting; Investment; Environmental Sustainability; Climate Change; Corporate Strategy; Mission and Purpose; Corporate Social Responsibility and Impact; Financial Services Industry; Chemical Industry; Technology Industry; Consumer Products Industry; Pharmaceutical Industry; North America; Europe; Japan; Australia
- August 2020 (Revised September 2020)
- Technical Note
Assessing Prediction Accuracy of Machine Learning Models
By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
- 2021
- Working Paper
Time and the Value of Data
By: Ehsan Valavi, Joel Hestness, Newsha Ardalani and Marco Iansiti
Managers often believe that collecting more data will continually improve the accuracy of their machine learning models. However, we argue in this paper that when data lose relevance over time, it may be optimal to collect a limited amount of recent data instead of... View Details
- August 2020
- Technical Note
Comparing Two Groups: Sampling and t-Testing
This note describes sampling and t-tests, two fundamental statistical concepts. View Details
- August 2020 (Revised December 2020)
- Case
General Dennis L. Via: People First, Mission Always
By: Boris Groysberg, Susan Seligson, Katherine Connolly Baden and Robin Abrahams
Dennis L. Via, was a retired four-star U.S. Army general and one of the world’s foremost experts on logistics, crisis management, supply chains, and maintaining a state of readiness at all times. As he reflected back on his career and leadership experience during the... View Details
- Article
Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive Mood Benefits of Prosocial Spending
By: Ashley V. Whillans, Lara B. Aknin, Colin Ross, Lihan Chen and Frances S. Chen
Who benefits most from helping others? Previous research suggests that common polymorphisms of the oxytocin receptor gene (OXTR) predict whether people behave generously and experience increases in positive mood in response to socially-focused experiences in daily... View Details
- 2020
- Working Paper
Updating the Balanced Scorecard for Triple Bottom Line Strategies
By: Robert S. Kaplan and David McMillan
Many companies are now attempting to achieve triple bottom line performance on financial, environmental, and societal metrics. Successful strategies for such performance, however, generally require new relationships among multiple players in multiple sectors across a... View Details
- Article
The Importance of Being Causal
By: Iavor I Bojinov, Albert Chen and Min Liu
Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
- July 2020
- Case
Applying Data Science and Analytics at P&G
By: Srikant M. Datar, Sarah Mehta and Paul Hamilton
Set in December 2019, this case explores how P&G has applied data science and analytics to cut costs and improve outcomes across its business units. The case provides an overview of P&G’s approach to data management and governance, and reviews the challenges associated... View Details
- June 2020
- Case
Breakthroughs at Blueprint Medicines
By: Richard G. Hamermesh, Kathy Giusti and Susie L. Ma
Precision medicine company Blueprint Medicines was building a successful track record for bringing drug therapies to market 40% faster than average. The company had spent $40 million dollars and two years building a compound library that became its drug development... View Details
- June 2020
- Teaching Note
Generation Investment Management
By: Vikram S. Gandhi and Sarah Mehta
This teaching note provides guidance for teaching the case “Generation Investment Management” (820-033), which looks at the challenges facing a sustainable investment firm. View Details
Keywords: Sustainable Investing; Socially Responsible Investing; Long-term Investing; ESG; Climate Change; Environmental Sustainability; Finance; Equity; Governance; Private Equity; Public Equity; Financial Markets; Investment; Investment Return; Investment Activism; Investment Funds; Investment Portfolio; Institutional Investing; Corporate Social Responsibility and Impact; Financial Services Industry; United Kingdom; England; London