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- October 2023
- Case
Prime Coalition: Estimating Climate Impact
A case on CRANE, a tool to help investors and green technology companies estimate the future climate impact of new technologies and products, called emissions reduction potential (ERP). The case includes material on CRANE’s methodology for estimating future carbon...
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- October 2023
- Case
Ball: EVA Driving the World’s Leading Can Manufacturer (A)
By: Jonas Heese and Susan Pinckney
Ball used Economic Value Added analysis to determine if it should open a new metal can manufacturing facility, which mandated closing two recently acquired factories, or recapitalize and update the two legacy factories.
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Keywords:
Accounting;
Budgets and Budgeting;
Cost Accounting;
Financial Reporting;
Financial Statements;
Buildings and Facilities;
Green Building;
Acquisition;
Mergers and Acquisitions;
Customer Satisfaction;
Decision Making;
Decisions;
Forecasting and Prediction;
Engineering;
Machinery and Machining;
Finance;
Asset Pricing;
Corporate Finance;
Capital;
Cost;
Financial Management;
Goods and Commodities;
Compensation and Benefits;
Executive Compensation;
Employee Relationship Management;
Management;
Goals and Objectives;
Resource Allocation;
Strategy;
Business Strategy;
Corporate Strategy;
Food and Beverage Industry;
United States;
Arizona;
California;
Texas
- 2023
- Working Paper
Deglobalization and Entrepreneurial Investment: The Natural Experiment of Brexit
By: Elisa Alvarez-Garrido and Juan Alcácer
We seek to gain insight into the consequences of deglobalization on entrepreneurial investment by
analyzing an instance of economic disintegration: the United Kingdom’s exit from the European Union.
Brexit is not only a unique empirical opportunity, a natural...
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- September 2023
- Module Note
Live Case Exercise for Financial Reporting
By: Tatiana Sandino and Marshal Herrmann
Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from...
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- 2023
- Working Paper
Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality
By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine...
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- 2023
- Working Paper
Global Harms, Local Profits: How the Uneven Costs of Natural Disasters Affect Support for Green Political Platforms
By: Silvia Pianta and Paula Rettl
The emergence of green constituencies enables climate action. Conventional wisdom holds
that first-hand experience with natural disasters helps build green coalitions by increasing
the salience of the costs of environmental degradation. Focusing on fires in Brazil,...
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Keywords:
Climate Impact;
Politics;
Environmental Issues;
Environmental Protection;
Economic Analysis;
Economic Behavior;
Economic Geography;
Economy;
Economics;
Climate Change;
Environmental Management;
Political Elections;
Natural Disasters;
Green Technology;
Environmental Sustainability;
Latin America;
Brazil
- 2023
- Article
On Minimizing the Impact of Dataset Shifts on Actionable Explanations
By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models...
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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...
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- 2023
- Working Paper
The Crowdless Future? How Generative AI Is Shaping the Future of Human Crowdsourcing
The rapid advances in generative AI have the potential to reshape organizational innovation, raising uncertainty about the role of human solvers in this new era of augmented intelligence. We initiated a crowdsourcing challenge focused on sustainable, circular economy...
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- August 2023
- Case
The Ethical Tightrope: When to Disclose the AI Shortcut
By: David G. Fubini, William Fubini and Patrick Sanguineti
In this short vignette on ethics in consulting, John Child, a new Associate at a prestigious firm who is eager to impress, decides to use an AI tool to expedite his analysis and craft his presentation due to a short project timeframe. Feeling uneasy about his decision...
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- 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...
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- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
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Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
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
- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated...
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Keywords:
Carbon Emissions;
Sustainability;
Decarbonization;
Performance;
Risk Assessment;
Opportunities;
Environmental Sustainability;
Carbon Footprint;
Business Analysis;
Investing;
Regulation;
Asset Management;
Investment Strategy;
Climate Change;
Transition;
Analysis;
Product Positioning;
Strategy;
Investment Portfolio;
Financial Services Industry;
Energy Industry
- 2023
- Working Paper
Black Empowerment and White Mobilization: The Effects of the Voting Rights Act
By: Andrea Bernini, Giovanni Facchini, Marco Tabellini and Cecilia Testa
The 1965 Voting Rights Act (VRA) paved the road to Black empowerment. How did
southern whites respond? Leveraging newly digitized data on county-level voter registration
rates by race between 1956 and 1980, and exploiting pre-determined variation
in exposure to the...
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- 2023
- Working Paper
Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation
By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov
Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to...
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- 2023
- Article
Provable Detection of Propagating Sampling Bias in Prediction Models
By: Pavan Ravishankar, Qingyu Mo, Edward McFowland III and Daniel B. Neill
With an increased focus on incorporating fairness in machine learning models, it becomes imperative not only to assess and mitigate bias at each stage of the machine learning pipeline but also to understand the downstream impacts of bias across stages. Here we consider...
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- 2023
- Article
Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators
By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in...
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- 2023
- Working Paper
Detecting Structural Breaks in Inflation Trends: A High-Frequency Approach
By: Alberto Cavallo and Gaston Garcia Zavaleta
We combine standard structural-break methods with high-frequency data to identify shifts in inflation trends. We use this approach to study the inflation dynamics of 25 countries from January 2022 to April 2023 and find evidence of a broad-based slowdown in about half...
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- May–June 2023
- Article
Unmasking Behaviors During the Pandemic with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down viral transmission. People complied to varying extents, and their reactions may have been driven by a variety of psychological factors....
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