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All HBS Web
(3,230)
- Faculty Publications (791)
- November–December 2023
- Article
Iterative Coordination and Innovation: Prioritizing Value over Novelty
By: Sourobh Ghosh and Andy Wu
An innovating organization faces the challenge of how to prioritize distinct goals of novelty and value, both of which underlie innovation. Popular practitioner frameworks like Agile management suggest that organizations can adopt an iterative approach of frequent...
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Keywords:
Innovation;
Novelty;
Goals;
Specialization;
Coordination;
Field Experiment;
Software Development;
Agile;
Scrum;
Iteration;
Iterative;
Organizations;
Innovation and Invention;
Value;
Goals and Objectives;
Integration;
Applications and Software
Ghosh, Sourobh, and Andy Wu. "Iterative Coordination and Innovation: Prioritizing Value over Novelty." Organization Science 34, no. 6 (November–December 2023): 2182–2206.
- 2023
- Working Paper
The Optimal Stock Valuation Ratio
By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted...
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Keywords:
Price;
Investment Return;
AI and Machine Learning;
Valuation;
Cash Flow;
Forecasting and Prediction
Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
- October 2023
- Case
ReUp Education: Can AI Help Learners Return to College?
By: Kris Ferreira, Christopher Thomas Ryan and Sarah Mehta
Founded in 2015, ReUp Education helps “stopped out students”—learners who have stopped making progress towards graduation—achieve their college completion goals. The company relies on a team of success coaches to engage with learners and help them reenroll. In 2019,...
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Keywords:
AI;
Algorithms;
Machine Learning;
Edtech;
Education Technology;
Analysis;
Higher Education;
AI and Machine Learning;
Customization and Personalization;
Failure;
Education Industry;
Technology Industry;
United States
Ferreira, Kris, Christopher Thomas Ryan, and Sarah Mehta. "ReUp Education: Can AI Help Learners Return to College?" Harvard Business School Case 624-007, October 2023.
- October 2023 (Revised January 2024)
- Case
Ball: EVA Driving the World's Leading Can Manufacturer (A)
By: Jonas Heese and Susan Pinckney
The case describes Ball’s multi decade history of using Economic Value Added to drive decision making and workforce compensation. In 2016, the company acquired Rexam PLC and became the world’s leading metal beverage container company. Consumer demand for varied...
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Keywords:
Budgets and Budgeting;
Cost Accounting;
Financial Reporting;
Financial Statements;
Buildings and Facilities;
Green Building;
Mergers and Acquisitions;
Customer Satisfaction;
Decisions;
Forecasting and Prediction;
Machinery and Machining;
Asset Pricing;
Corporate Finance;
Capital;
Cost;
Financial Management;
Goods and Commodities;
Compensation and Benefits;
Executive Compensation;
Employee Relationship Management;
Goals and Objectives;
Resource Allocation;
Business Strategy;
Corporate Strategy;
Food and Beverage Industry;
United States;
Arizona;
California;
Texas
Heese, Jonas, and Susan Pinckney. "Ball: EVA Driving the World's Leading Can Manufacturer (A)." Harvard Business School Case 124-002, October 2023. (Revised January 2024.)
- 2024
- Working Paper
Bringing Science to Market: Knowledge Foundations and Performance
By: Justine Boudou and Maria Roche
Possessing unique knowledge is widely considered a critical source of competitive advantage. In this paper, we examine the relationship between the extent to which founders exploit their own technologically unique knowledge and subsequent new venture performance. Using...
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Keywords:
Firm Performance;
Knowledge Foundations;
Exits;
Academic Startups;
Competitive Advantage;
Value Creation;
Research;
Information Publishing;
Business Startups;
Entrepreneurship
Boudou, Justine, and Maria Roche. "Bringing Science to Market: Knowledge Foundations and Performance." Harvard Business School Working Paper, No. 24-021, October 2023. (Revised May 2024.)
- 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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Keywords:
Large Language Model;
AI and Machine Learning;
Performance Efficiency;
Performance Improvement
Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
- September 2023
- Article
Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement
By: George Serafeim and Aaron Yoon
We investigate whether ESG ratings predict future ESG news and the associated market reactions. We find that the consensus rating predicts future news, but its predictive ability diminishes for firms with large disagreement between raters. Relation between news and...
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Keywords:
ESG;
ESG (Environmental, Social, Governance) Performance;
ESG Disclosure;
ESG Ratings;
ESG Reporting;
ESG Disclosure Metrics;
Sustainability;
Investments;
Disagreement;
Rating Disagreement;
Ratings;
Environmental Sustainability;
Social Issues;
Corporate Social Responsibility and Impact;
Performance;
News;
Investment;
Financial Markets;
Stocks;
Price
Serafeim, George, and Aaron Yoon. "Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement." Special Issue on RAST 2022 Conference. Review of Accounting Studies 28, no. 3 (September 2023): 1500–1530.
- 2023
- Working Paper
The Stock Market and Bank Risk-Taking
By: David S. Scharfstein and Antonio Falato
Using confidential supervisory risk ratings, we document that banks increase risk after they go public compared to a control group of banks that filed to go public but withdrew their filings for plausibly exogenous reasons. The increase in risk increases short-term...
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Scharfstein, David S., and Antonio Falato. "The Stock Market and Bank Risk-Taking." Working Paper, September 2023.
- 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.
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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;
Food and Beverage 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...
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Keywords:
Dairy Industry;
Business Earnings;
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;
Food and Beverage Industry;
Europe;
United Kingdom;
European Union;
Germany;
Denmark;
Sweden;
Luxembourg;
Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (A)." Harvard Business School Case 624-003, August 2023. (Revised March 2024.)
- 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...
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Keywords:
Dairy Industry;
Earnings Management;
Environmental Accounting;
Animal-Based Agribusiness;
Mergers and Acquisitions;
Decisions;
Voting;
Climate Change;
Environmental Regulation;
Environmental Sustainability;
Green Technology;
Pollution;
Moral Sensibility;
Values and Beliefs;
Financial Strategy;
Price;
Profit;
Revenue;
Food;
Geopolitical Units;
Cross-Cultural and Cross-Border Issues;
Global Strategy;
Cooperative Ownership;
Performance Efficiency;
Performance Evaluation;
Problems and Challenges;
Natural Environment;
Science-Based Business;
Business Strategy;
Commercial Banking;
Cooperation;
Corporate Strategy;
Motivation and Incentives;
Food and Beverage Industry;
Food and Beverage Industry;
Europe;
United Kingdom;
European Union;
Denmark;
Sweden;
Luxembourg;
Belgium
Parzen, Michael, Michael W. Toffel, Susan Pinckney, and Amram Migdal. "Arla Foods: Data-Driven Decarbonization (B)." Harvard Business School Supplement 624-036, August 2023. (Revised January 2024.)
- August 2023
- Supplement
Reimagining Hindustan Unilever (B)
By: Sunil Gupta and Rachna Tahilyani
In April 2023, as the CEO and MD of Hindustan Unilever (HUL), India’s largest fast-moving consumer goods (FMCG) firm, prepared to hand over the firm’s reins to his successor, he proudly reflected on the last decade. His quest to digitally transform HUL into an...
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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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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 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
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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Keywords:
Performance Evaluation;
Research and Development;
Analytics and Data Science;
Consumer Behavior
Ham, Dae Woong, Michael Lindon, Martin Tingley, and Iavor Bojinov. "Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation." Harvard Business School Working Paper, No. 23-070, May 2023.
- June 2023 (Revised January 2024)
- Case
Siemens AG: A Private Equity Approach within an Industrial Corporation?
By: David J. Collis and Haisley Wert
In July 2022, Horst Kayser, Chairman of Siemens AG Portfolio Companies (POC), was reflecting on the advice he could offer Roland Busch, Chief Executive Officer of the parent company Siemens AG, about whether and how to operate a private equity-like approach inside the...
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Collis, David J., and Haisley Wert. "Siemens AG: A Private Equity Approach within an Industrial Corporation?" Harvard Business School Case 723-420, June 2023. (Revised January 2024.)
- 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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Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
- 2023
- Working Paper
Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
Problem definition: Communication and customer interaction design have been used as elements to improve customer satisfaction and future purchasing behavior, but little is known about how they can be used as levers to improve operational...
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Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Consequences of Customer Interaction Design: Evidence From Last-Mile Delivery Services." Working Paper, May 2023.
- April 2023
- Article
Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach
By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current...
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Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates...
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Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.