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2023
Article

On the Impact of Actionable Explanations on Social Segregation

By: Ruijiang Gao and Himabindu Lakkaraju

As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse. To this end, there has been a growing body of research... View Details

Keywords: Forecasting and Prediction; AI and Machine Learning; Outcome or Result

Article

Update on E-liability Accounting

By: Robert Kaplan, Karthik Ramanna and Piyush Jha

Since publication of the original E-liability carbon accounting paper (HBR, Nov 2021), we created the E-liability Institute to help companies, governments, and nonprofits implement the method. The Institute’s mission is to test and validate the method, and develop... View Details

Keywords: Decarbonization; Carbon Footprint; Supply Chain; Environmental Sustainability; Environmental Accounting

August 2023 (Revised January 2024)
Supplement

Arla Foods: Data-Driven Decarbonization (A)

By: Michael Parzen, Michael W. Toffel, Amram Migdal and Susan Pinckney

Arla implemented a data-based price incentive system to measure, track, and influence climate friendly changes to reduce CO2 emissions across the world’s fourth largest dairy cooperative. View Details

Keywords: Dairy Industry; Business Earnings; Earnings Management; Environmental Accounting; Agribusiness; Animal-Based Agribusiness; Acquisition; Mergers and Acquisitions; Decision Making; Decisions; Voting; Environmental Management; Climate Change; Environmental Regulation; Environmental Sustainability; Green Technology; Pollution; Moral Sensibility; Values and Beliefs; Financial Strategy; Price; Profit; Revenue; Food; Geopolitical Units; Global Strategy; Ownership Type; Cooperative Ownership; Performance Efficiency; Performance Evaluation; Problems and Challenges; Natural Environment; Science-Based Business; Business Strategy; Commercialization; Cooperation; Corporate Strategy; Food and Beverage Industry; Agriculture and Agribusiness Industry; Europe; United Kingdom; European Union; Germany; Denmark; Sweden; Luxembourg; Belgium

August 2023 (Revised March 2024)
Case

Arla Foods: Data-Driven Decarbonization (A)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

August 2023 (Revised January 2024)
Supplement

Arla Foods: Data-Driven Decarbonization (B)

By: Michael Parzen, Michael W. Toffel, Susan Pinckney and Amram Migdal

The case describes Arla’s history, in particular its climate change mitigation efforts, and how it implemented a price incentive system to motivate individual farms to implement scope 1 greenhouse gas emissions mitigation measures and receive a higher milk price. The... View Details

2023
Working Paper

LALIGA—From a Soccer Competition Organizer to a Global Player in the Sports and Entertainment Industry

By: Stephen A. Greyser, Kenneth Cortsen and Juan Fuentes Fernández

LALIGA, the first- and second-tier professional soccer league (known as “football” outside of the U.S. and Canada) in Spain, enters its 100th soccer season later this decade. The most popular game in the world (Giulianotti, 2012) has gone through many changes since... View Details

Keywords: Soccer; ＂Sports Organizations,; Business History; Strategy; Brands and Branding; Technology Adoption; Sports Industry

July–August 2023
Article

Demand Learning and Pricing for Varying Assortments

By: Kris Ferreira and Emily Mower

Problem Definition: We consider the problem of demand learning and pricing for retailers who offer assortments of substitutable products that change frequently, e.g., due to limited inventory, perishable or time-sensitive products, or the retailer’s desire to... View Details

Keywords: Experiments; Pricing And Revenue Management; Retailing; Demand Estimation; Pricing Algorithm; Marketing; Price; Demand and Consumers; Mathematical Methods

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2023
Working Paper

Do Third-Party Guarantors Reassure Foot Soldiers?

By: Natalia Garbiras-Díaz, Michael Weintraub, Leopoldo Fergusson, Juana Catalina Garcia Duque and Laia Balcells

Since the end of the Cold War, international third parties such as the United Nations (UN) have become frequent guarantors of peace agreements. Existing studies document that third parties provide assurances that help maintain peace, yet these studies nearly... View Details

Keywords: United Nations; Colombia; Peacemaking; Peace Process; Peace; Civil Unrest; Civil Society; Political Leadership; Policy; Civil Society or Community; Governance; Government and Politics; Economy; Economic Growth; Latin America; South America; Colombia

July 2023 (Revised May 2024)
Case

Vytal: Packaging-as-a-Service

By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer

The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food... View Details

2023
Working Paper

Learning to Use: Stack Overflow and Technology Adoption

By: Daniel Jay Brown and Maria P. Roche

In this paper, we examine the potential impact of Q&A websites on the adoption of technologies. Using data from Stack Overflow – one of the most popular Q&A websites worldwide – and implementing an instrumental-variable approach, we find that users whose questions... View Details

Keywords: Technology Adoption; Knowledge Sharing

July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

June 2023 (Revised August 2023)
Background Note

Subscription Models: Recurring Revenues for Lasting Growth

By: Elie Ofek and Amy Konary

This note offers a comprehensive exposition to subscription revenue models and aims to explain their recent rise. It covers the advantages to firms of employing a subscription-based approach to monetization (as opposed to “one-off” upfront payment), as well as the... View Details

Keywords: Business Model; Revenue; Product Design

2023
Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill

In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details

Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias

June 2023
Article

The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19

By: Lisa Yao Liu and Shirley Lu

We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details

Keywords: COVID-19 Pandemic; Networks; Knowledge Use and Leverage; Health Pandemics; Decision Choices and Conditions; Corporate Social Responsibility and Impact

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May 2023
Technical Note

Dynamic Pricing: Timing is Everything

This note provides a comprehensive exposition to the topic of dynamic pricing (whereby the fee customers are charged is time-dependent). It covers the motivation for firms to engage in dynamic pricing, provides a typology of the main formats dynamic pricing can take,... View Details

Keywords: Dynamic Pricing; Price

Article

Do Citizens’ Preferences Matter? Shaping Legislator Attitudes Towards Peace Agreements

By: Miguel García-Sánchez, Aila M. Matanock and Natalia Garbiras-Díaz

To what extent are legislators, responsible for the implementation of many peace agreements, responsive to citizens’ preferences? Examining the 2016 Colombian peace agreement, we embed an experiment in the 2019 wave of a survey of all the members of Congress. We inform... View Details

Keywords: Legislation; Legislators; Peace Process; Agreements; Govenment; Voters' Interests; Governance; Government and Politics; Voting; Policy; Governing Rules, Regulations, and Reforms; Latin America; Colombia

July 2023
Article

Political Strategies for Climate and Environmental Solutions

By: Jonas Meckling and Valerie Karplus

Many of the barriers to progress in addressing environmental problems, such as climate change, are political. We argue that politics should not be seen only as a constraint but be recognized as a target of intervention to advance environmental solutions. We use the... View Details

Keywords: Environmental Management; Government and Politics; Problems and Challenges

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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

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods

March 2023
Background Note

A Primer on OKRs

By: Suraj Srinivasan and Li-Kuan (Jason) Ni

The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details

Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency

March 2023 (Revised January 2024)
Case

Deepa Bachu (A): Design Thinking at Pensaar Design

By: Thomas Graeber, Joshua Schwartzstein and Amram Migdal

In this case, set in June 2019 in Bangalore, Karnataka, India, Deepa Bachu of Pensaar Design and her team work with client ITC Ltd. to use design thinking and behavioral experiments to improve workplace safety and strive toward the company’s zero-accident goal. The... View Details

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