Filter Results:
(554)
Show Results For
- All HBS Web
(1,288)
- Faculty Publications (554)
Show Results For
- All HBS Web
(1,288)
- Faculty Publications (554)
- September 2023 (Revised October 2024)
- Case
Forecasting Climate Risks: Aviva’s Climate Calculus
By: Mark Egan and Peter Tufano
In late 2021, Ben Carr, Director of Analytics and Capital Modeling at Aviva Plc (Aviva)—a leading insurer with core operations in the UK, Ireland and Canada,—was preparing for an upcoming presentation before the company's board which included its CEO, Amanda Blanc,... View Details
Keywords: Climate Risk; Climate Finance; Forecasting; Insurance; Risk Measurement; Climate Change; Risk Management; Forecasting and Prediction; Insurance Industry; United States
Egan, Mark, and Peter Tufano. "Forecasting Climate Risks: Aviva’s Climate Calculus." Harvard Business School Case 224-025, September 2023. (Revised October 2024.)
- September 2023
- Supplement
Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)
By: Mark Egan
As 2017 was drawing to a close, birddogs’ founder and CEO, Peter Baldwin, was working with his CFO Jack Sullivan to prepare for 2018. Their task at hand? To predict the demand for their product in the coming season, determine the appropriate investments in working... View Details
Keywords: Working Capital; Forecasting and Prediction; Expansion; Production; Apparel and Accessories Industry
Egan, Mark. "Accelerating with Caution: Forecasting and Managing birddogs’ Growth (B)." Harvard Business School Supplement 224-024, September 2023.
- 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
Gao, Ruijiang, and Himabindu Lakkaraju. "On the Impact of Actionable Explanations on Social Segregation." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 10727–10743.
- 2023
- Working Paper
Algorithm Failures and Consumers' Response: Evidence from Zillow
By: Isamar Troncoso, Runshan Fu, Nikhil Malik and Davide Proserpio
In November 2021, Zillow announced the closure of its iBuyer business. Popular media largely attributed this to a failure of its proprietary forecasting algorithm. We study the response of consumers to Zillow’s iBuyer business closure. We show that after the iBuyer... View Details
Keywords: Algorithmic Pricing; Price; Forecasting and Prediction; Consumer Behavior; Real Estate Industry
Troncoso, Isamar, Runshan Fu, Nikhil Malik, and Davide Proserpio. "Algorithm Failures and Consumers' Response: Evidence from Zillow." Working Paper, July 2023.
- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
- June 2023 (Revised April 2025)
- Case
Optimalen Capital
A new client portfolio manager at a quantitative investment management firm must explain why her firm, Optimalen Capital, has rebalanced a client portfolio with a set of trades that seem unintuitive. In particular, Optimalen has added to its position of Walmart (ticker... View Details
Keywords: Investments; CAPM; Capital Asset Pricing Model; Investment Portfolio; Asset Pricing; Stocks
Baker, Malcolm, Elisabeth Kempf, and Jonathan Wallen. "Optimalen Capital." Harvard Business School Case 223-099, June 2023. (Revised April 2025.)
- 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
Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
- 2023
- Working Paper
Evaluation and Learning in R&D Investment
By: Alexander P. Frankel, Joshua L. Krieger, Danielle Li and Dimitris Papanikolaou
We examine the role of spillover learning in shaping the value of exploratory versus incremental
R&D. Using data from drug development, we show that novel drug candidates generate more
knowledge spillovers than incremental ones. Despite being less likely to reach... View Details
Frankel, Alexander P., Joshua L. Krieger, Danielle Li, and Dimitris Papanikolaou. "Evaluation and Learning in R&D Investment." Harvard Business School Working Paper, No. 23-074, May 2023. (NBER Working Paper Series, No. 31290, May 2023.)
- May 2023 (Revised November 2023)
- Case
Arcos Dorados: Decarbonizing McDonald's in Latin America
By: George Serafeim, Michael W. Toffel, Jenyfeer Martinez Buitrago and Mariana Cal
This case describes the decarbonization strategy of Arcos Dorados—McDonald’s largest independent franchisee, operating in 20 countries and territories in Latin America and the Caribbean—and how the company measured its greenhouse gas (GHG) emissions, including those... View Details
Keywords: Environmental Accounting; Animal-Based Agribusiness; Plant-Based Agribusiness; Change Management; Forecasting and Prediction; Environmental Sustainability; Food; Growth Management; Supply Chain; Corporate Social Responsibility and Impact; Strategy; Agriculture and Agribusiness Industry; Food and Beverage Industry; Green Technology Industry; Consumer Products Industry; Latin America; North and Central America; South America
Serafeim, George, Michael W. Toffel, Jenyfeer Martinez Buitrago, and Mariana Cal. "Arcos Dorados: Decarbonizing McDonald's in Latin America." Harvard Business School Case 623-017, May 2023. (Revised November 2023.)
- April 21, 2023
- Article
When Scenario Planning Fails
By: Kalle Heikkinen, William R. Kerr, Mika Malin, Panu Routila and Eemil Rupponen
How can organizations perform scenario planning when they are hit by shocks outside of leaders’ field of vision? Interviews with Nordic executives, who experienced both the Covid-19 pandemic and were in close proximity to Russia as the country invaded Ukraine, can... View Details
Keywords: Planning; Crisis Management; Organizational Structure; Forecasting and Prediction; System Shocks; Organizational Change and Adaptation
Heikkinen, Kalle, William R. Kerr, Mika Malin, Panu Routila, and Eemil Rupponen. "When Scenario Planning Fails." Harvard Business Review Digital Articles (April 21, 2023).
- April 12, 2023
- Article
Using AI to Adjust Your Marketing and Sales in a Volatile World
By: Das Narayandas and Arijit Sengupta
Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details
Keywords: Forecasting and Prediction; AI and Machine Learning; Consumer Behavior; Technology Adoption; Competitive Advantage
Narayandas, Das, and Arijit Sengupta. "Using AI to Adjust Your Marketing and Sales in a Volatile World." Harvard Business Review Digital Articles (April 12, 2023).
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- April 2023
- Article
The Stock Market Valuation of Human Capital Creation
By: Ethan Rouen and Matthias Regier
We develop a measure of firm-year-specific human capital investment from publicly disclosed personnel expenses (PE) and examine the stock market valuation of this investment. Measuring the future value of PE (PEFV) based on the relation between... View Details
Rouen, Ethan, and Matthias Regier. "The Stock Market Valuation of Human Capital Creation." Art. 102384. Journal of Corporate Finance 79 (April 2023).
- March–April 2023
- Article
Market Segmentation Trees
By: Ali Aouad, Adam Elmachtoub, Kris J. Ferreira and Ryan McNellis
Problem definition: We seek to provide an interpretable framework for segmenting users in a population for personalized decision making. Methodology/results: We propose a general methodology, market segmentation trees (MSTs), for learning market... View Details
Keywords: Decision Trees; Computational Advertising; Market Segmentation; Analytics and Data Science; E-commerce; Consumer Behavior; Marketplace Matching; Marketing Channels; Digital Marketing
Aouad, Ali, Adam Elmachtoub, Kris J. Ferreira, and Ryan McNellis. "Market Segmentation Trees." Manufacturing & Service Operations Management 25, no. 2 (March–April 2023): 648–667.
- February 2023
- Supplement
Coats Dyehouse Management
By: Willy C. Shih
Coats, the largest thread maker in the world, transformed its business to digital colour measurement so that it could respond better to customer demand in the garment industry for rapid product cycles and more fragmented colour choices. Its embrace of digital colour... View Details
Keywords: Inventory Management; Supply Chain; Inventory; Supply Chain Management; Operations; Apparel and Accessories Industry; Asia
Shih, Willy C. "Coats Dyehouse Management." Harvard Business School Multimedia/Video Supplement 622-703, February 2023.
- January–February 2023
- Article
Forecasting COVID-19 and Analyzing the Effect of Government Interventions
By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- December 2022
- Case
To Feed the Planet: Juan Luciano at ADM
By: Joshua D. Margolis, David E. Bell, Damien McLoughlin, Stacy Straaberg and James Weber
In December 2022, Juan Luciano, Chairman and CEO of agribusiness and nutrition giant ADM, considered the next phase of the historic company’s future. Beginning in 2011 when he joined as COO and moving into his tenure as CEO in 2015, Luciano led a transformation of ADM... View Details
Keywords: Agriculture; Leadership; Agribusiness; Acquisition; Business Units; Customer Focus and Relationships; Customer Value and Value Chain; Forecasting and Prediction; Capital; Cash; Cost of Capital; Cost Management; Profit; Food; Global Range; Innovation Strategy; Leadership Development; Leadership Style; Leading Change; Growth and Development Strategy; Risk Management; Organizational Culture; Organizational Structure; Strategic Planning; Risk and Uncertainty; Adaptation; Business Strategy; Corporate Strategy; Vertical Integration; Value Creation; Transformation; Agriculture and Agribusiness Industry; Energy Industry; United States; Chicago
Margolis, Joshua D., David E. Bell, Damien McLoughlin, Stacy Straaberg, and James Weber. "To Feed the Planet: Juan Luciano at ADM." Harvard Business School Case 423-060, December 2022.
- 2022
- Working Paper
Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions
By: Caleb Kwon, Ananth Raman and Jorge Tamayo
We empirically analyze how managerial overrides to a commercial algorithm that forecasts demand and schedules labor affect store performance. We analyze administrative data from a large grocery retailer that utilizes a commercial algorithm to forecast demand and... View Details
Keywords: Employees; Human Capital; Performance; Applications and Software; Management Skills; Management Practices and Processes; Retail Industry
Kwon, Caleb, Ananth Raman, and Jorge Tamayo. "Human-Computer Interactions in Demand Forecasting and Labor Scheduling Decisions." Working Paper, December 2022. (R&R Management Science.)
- Article
Innovations in Retail Operations: Thirty Years of Lessons from Production and Operations Management
By: Marshall Fisher and Ananth Raman
We review papers published in Production and Operations Management (POM) during its thirty-year history that deal with retail operations issues with an empirical approach. The papers span a range of issues, from traditional ones like forecasting and inventory... View Details
Keywords: RFID; Innovation and Invention; Technology Adoption; Operations; E-commerce; Strategy; Retail Industry
Fisher, Marshall, and Ananth Raman. "Innovations in Retail Operations: Thirty Years of Lessons from Production and Operations Management." Special Issue on The 30th Anniversary Issue of Production and Operations Management edited by Subodha Kumar and Christopher S. Tang. Production and Operations Management 31, no. 12 (December 1, 2022): 4452–4461.