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(1,133)
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Show Results For
- All HBS Web
(1,133)
- People (1)
- News (176)
- Research (735)
- Events (6)
- Multimedia (1)
- Faculty Publications (280)
- Article
Optimizing Organic Waste to Energy Operations
By: Baris Ata, Deishin Lee and Mustafa H. Tongarlak
A waste-to-energy firm that recycles organic waste with energy recovery performs two environmentally beneficial functions: it diverts waste from landfill and it produces renewable energy. At the same time, the waste-to-energy firm serves and collects revenue from two... View Details
Keywords: Business Ventures; Energy Generation; Renewable Energy; Revenue; Customers; Strategy; Corporate Governance; Wastes and Waste Processing; Environmental Sustainability; Governing Rules, Regulations, and Reforms; Cost Management; Urban Scope
Ata, Baris, Deishin Lee, and Mustafa H. Tongarlak. "Optimizing Organic Waste to Energy Operations." Manufacturing & Service Operations Management 14, no. 2 (Spring 2012): 231–244.
- 02 Sep 2015
- News
Voting for Optimism in Baltimore
If you had asked Calvin Young (MBA 2015) what he’d be doing after his graduation from HBS, he wouldn’t have answered “politics.” But earlier this month, the mechanical engineer and newly minted MBA announced his candidacy for mayor of... View Details
- 2020
- Working Paper
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... View Details
Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.
Design and Analysis of Switchback Experiments
Switchback experiments, where a firm sequentially exposes an experimental unit to random treatments, are among the most prevalent designs used in the technology sector, with applications ranging from ride-hailing platforms to online marketplaces. Although... View Details
- 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... View Details
Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 2025
- Working Paper
Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions
By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti
Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details
Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement
DosSantos DiSorbo, Matthew, Iavor I. Bojinov, and Fiammetta Menchetti. "Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions." Harvard Business School Working Paper, No. 24-075, June 2024. (Revised May 2025.)
- 05 Aug 2011
- Working Paper Summaries
An Exploration of Optimal Stabilization Policy
- 2024
- Working Paper
Advancing Personalization: How to Experiment, Learn & Optimize
By: Aurelie Lemmens, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela and Oded Netzer
Personalization has become the heartbeat of modern marketing. Advances in causal inference and machine learning enable companies to understand how the same marketing action can impact the choices of individual customers differently. This article provides an academic... View Details
Keywords: Personalization; Targeting; Experiments; Observational Studies; Policy Implementation; Policy Evaluation; Customization and Personalization; Marketing Strategy; AI and Machine Learning
Lemmens, Aurelie, Jason M.T. Roos, Sebastian Gabel, Eva Ascarza, Hernan Bruno, Elea McDonnell Feit, Brett Gordon, Ayelet Israeli, Carl F. Mela, and Oded Netzer. "Advancing Personalization: How to Experiment, Learn & Optimize." Working Paper, July 2024. (Revised March 2025.)
- Program
Designing and Executing Corporate Revitalization
program on the HBS campus, you enter an immersive experience where every aspect of the learning model has been carefully designed to facilitate your growth. Your learning will take place on your own, in your living group, and in the... View Details
- 15 Nov 2012
- Research & Ideas
Funding the Design of Livable Cities
transit, can maximize the return on investment by optimizing natural resource use. For cash-strapped cities the private sector can fill the gap in providing critical funds and designing structures, including... View Details
- Winter 2016
- Article
Analytics for an Online Retailer: Demand Forecasting and Price Optimization
By: Kris J. Ferreira, Bin Hong Alex Lee and David Simchi-Levi
We present our work with an online retailer, Rue La La, as an example of how a retailer can use its wealth of data to optimize pricing decisions on a daily basis. Rue La La is in the online fashion sample sales industry, where they offer extremely limited-time... View Details
Ferreira, Kris J., Bin Hong Alex Lee, and David Simchi-Levi. "Analytics for an Online Retailer: Demand Forecasting and Price Optimization." Manufacturing & Service Operations Management 18, no. 1 (Winter 2016): 69–88.
- 2020
- Article
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
By: Dimitris Bertsimas and Michael Lingzhi Li
We formulate the problem of matrix completion with and without side information as a non-convex optimization problem. We design fastImpute based on non-convex gradient descent and show it converges to a global minimum that is guaranteed to recover closely the... View Details
Keywords: Mathematical Methods
Bertsimas, Dimitris, and Michael Lingzhi Li. "Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion." Journal of Machine Learning Research 21, no. 1 (2020).
- 19 Aug 2009
- Working Paper Summaries
The Optimal Taxation of Height: A Case Study of Utilitarian Income Redistribution
Keywords: by N. Gregory Mankiw & Matthew Weinzierl
- 2022
- Working Paper
The Issuance and Design of Sustainability-linked Loans
By: Maria Loumioti and George Serafeim
Sustainability-linked loans (i.e., syndicated loans for which pricing is linked to a sustainability performance indicator) have rapidly evolved into a significant private debt product. We find that sustainability-linked lending has been available mostly to borrowers... View Details
Keywords: Sustainability; Sustainability Management; Credit Products; Loan Contracts; Loans; Corporate Finance; Credit Risk; Environment; ESG; ESG Ratings; Climate Change; Finance; Borrowing and Debt; Risk and Uncertainty; Credit
Loumioti, Maria, and George Serafeim. "The Issuance and Design of Sustainability-linked Loans." Harvard Business School Working Paper, No. 23-027, November 2022.
- 15 Dec 2020
- Working Paper Summaries
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
- 19 May 2010
- Working Paper Summaries
The Job Market for New Economists: A Market Design Perspective
- Article
The Job Market for New Economists: A Market Design Perspective
By: Peter A. Coles, John Cawley, Phillip B. Levine, Muriel Niederle, Alvin E. Roth and John J. Siegfried
This paper, written by the members of the American Economic Association (AEA) Ad Hoc Committee on the Job Market, provides an overview of the market for new Ph.D. economists. It describes the role of the AEA in the market and focuses in particular on two mechanisms... View Details
Coles, Peter A., John Cawley, Phillip B. Levine, Muriel Niederle, Alvin E. Roth, and John J. Siegfried. "The Job Market for New Economists: A Market Design Perspective." Journal of Economic Perspectives 24, no. 4 (Fall 2010): 187–206.
- Web
Design Thinking Course | HBS Online
Dean of Harvard Business School "Design Thinkng and Innovation will teach you how to leverage fundamental design thinking principles and innovative problem-solving tools to address business challenges and build products, strategies,... View Details
- January 2019 (Revised February 2020)
- Case
Roush Performance: How to Design a Sales Force Compensation Plan
By: Doug J. Chung
Roush Performance manufactured and marketed factory-modified performance vehicles and high-end aftermarket automotive performance parts. Since its inception, Roush Performance had focused on building its engineering technology competency and diversifying its product... View Details
Keywords: Sales Force Management; Motivation; Compensation; Salary; Commissions; Bonuses; Quotas; Salesforce Management; Compensation and Benefits; Motivation and Incentives
Chung, Doug J. "Roush Performance: How to Design a Sales Force Compensation Plan." Harvard Business School Case 519-066, January 2019. (Revised February 2020.)