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(10,643)
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Show Results For
- All HBS Web
(10,643)
- People (74)
- News (2,855)
- Research (3,820)
- Events (45)
- Multimedia (238)
- Faculty Publications (2,359)
- 12 May 2015
- News
Nail Salons And The High Cost Of Conspicuous Consumption
- July–September 2020
- Article
Innovation Contest: Effect of Perceived Support for Learning on Participation
By: Olivia Jung, Andrea Blasco and Karim R. Lakhani
Background: Frontline staff are well positioned to conceive improvement opportunities based on first-hand knowledge of what works and does not work. The innovation contest may be a relevant and useful vehicle to elicit staff ideas. However, the success of the... View Details
Keywords: Contest; Innovation; Employee Engagement; Organizational Learning; Health Care; Health Care Delivery; Innovation and Invention; Organizations; Learning; Employees; Perception; Health Care and Treatment
Jung, Olivia, Andrea Blasco, and Karim R. Lakhani. "Innovation Contest: Effect of Perceived Support for Learning on Participation." Health Care Management Review 45, no. 3 (July–September 2020): 255–266.
- TeachingInterests
Big Data Analytics and Machine Learning
Big data in the context of marketing, management, and innovation strategy. Machine Learning algorithms and tools.
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- 2021
- Working Paper
Deep Learning for Two-Sided Matching
By: Sai Srivatsa Ravindranatha, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers and David Parkes
We initiate the use of a multi-layer neural network to model two-sided matching and to explore the design space between strategy-proofness and stability. It is well known that both properties cannot be achieved simultaneously but the efficient frontier in this design... View Details
Keywords: Strategy-proofness; Deep Learning; Two-Sided Platforms; Marketplace Matching; Balance and Stability
Srivatsa Ravindranatha, Sai, Zhe Feng, Shira Li, Jonathan Ma, Scott Duke Kominers, and David Parkes. "Deep Learning for Two-Sided Matching." Working Paper, July 2021.
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- August 2025
- Article
Revenue Collapses and the Consumption of Small Business Owners in the COVID-19 Pandemic
By: Olivia S. Kim, Jonathan A. Parker and Antoinette Schoar
Using financial account data linking small businesses to their owner households, we examine how business owners’ consumption responded to changes in business revenues during the COVID-19 crisis. In the first two months following the National Emergency, business... View Details
Kim, Olivia S., Jonathan A. Parker, and Antoinette Schoar. "Revenue Collapses and the Consumption of Small Business Owners in the COVID-19 Pandemic." Art. 104079. Journal of Financial Economics 170 (August 2025).
- Fast Answer
Energy data sources: consumption and efficiency
How do I find data on the energy consumption and energy efficiency? Domestic data sources: Current consumption & Efficiency -- by US Energy Information Administration (May notice FAQs by the... View Details
Inequality in Socially Permissible Consumption
Contributing to the burgeoning discourse on economic inequality, we expose an inequality in what the poor are socially permitted to buy. Across 11 experiments (n = 4,179), we demonstrate that lower-income individuals are held to more... View Details
- Article
Learning by Thinking: The Role of Reflection in Individual Learning
By: Giada Di Stefano, Francesca Gino, Gary P. Pisano and Bradley R. Staats
It is common wisdom that practice makes perfect. And, in fact, we find evidence that when given a choice between practicing a task and reflecting on their previously accumulated practice, most people opt for the former. We argue in this paper that this preference is... View Details
- 2023
- Working Paper
Saving and Consumption Responses to Student Loan Forbearance
By: Justin Katz
How do households adjust savings and consumption in response to liquidity from debt relief? I study this question using policy variation induced by federal student loan forbearance in the 2020 CARES Act and an individual-level panel of daily financial transactions
for... View Details
Keywords: Saving; Consumer Behavior; Borrowing and Debt; Interest Rates; Financial Liquidity; Personal Finance; Government Legislation
Katz, Justin. "Saving and Consumption Responses to Student Loan Forbearance." SSRN Working Paper Series, January 2023.
The Power of Vicarious Learning
“We typically think of learning as something that happens in a classroom or an organizational training context, but the reality is that most of our learning occurs in our day to day interactions and the experiences that we have in the workplace.” View Details
- September 2012
- Article
Learning Agility: Many Questions, a Few Answers, and a Path Forward
By: D. Scott DeRue, Susan J. Ashford and Christopher G. Myers
This article responds to and extends the commentaries offered in response to our focal article on learning agility. After summarizing the basic themes in the commentaries, we use this response to clarify points that were unclear in our original article and push back on... View Details
DeRue, D. Scott, Susan J. Ashford, and Christopher G. Myers. "Learning Agility: Many Questions, a Few Answers, and a Path Forward." Industrial and Organizational Psychology: Perspectives on Science and Practice 5, no. 3 (September 2012): 316–322.
- 2007
- Working Paper
A Taste For Obscurity: An Individual-Level Examination of 'Long Tail' Consumption
By: Anita Elberse
Because online retailers are often able to provide products in a more cost-efficient manner than bricks-and-mortar stores, online channels are characterized by a vast assortment of products. Proponents of the "long tail" principle recently argued that the demand for... View Details
- Article
The Learning Effects of Monitoring
By: Dennis Campbell, Marc Epstein and F. Asis Martinez-Jerez
This paper investigates the relationship between monitoring, decision making, and learning among lower-level employees. We exploit a field-research setting in which business units vary in the "tightness" with which they monitor employee decisions. We find that tighter... View Details
Keywords: Learning; Business or Company Management; Decision Making; Employees; Research; Resignation and Termination; Rights; Business Units; Governance Controls; Performance; Motivation and Incentives
Campbell, Dennis, Marc Epstein, and F. Asis Martinez-Jerez. "The Learning Effects of Monitoring." Accounting Review 86, no. 6 (November 2011): 1909–1934.
- July 2022
- Article
The Pass-Through of Uncertainty Shocks to Households
By: Marco Di Maggio, Amir Kermani, Rodney Ramcharan, Vincent Yao and Edison Yu
Using new employer-employee matched data, this paper investigates the impact of uncertainty, as measured by idiosyncratic stock market volatility, on individual outcomes. We find that firms provide at best partial insurance to their workers. An increase in firm-level... View Details
Keywords: Employment Risk; Consumption; Employment; Risk and Uncertainty; System Shocks; Insurance; Household; Spending
Di Maggio, Marco, Amir Kermani, Rodney Ramcharan, Vincent Yao, and Edison Yu. "The Pass-Through of Uncertainty Shocks to Households." Journal of Financial Economics 145, no. 1 (July 2022): 85–104. (2023 Fama-DFA Prize for the Best Paper Published in the Journal of Financial Economics in Asset Pricing, 2nd place.)
- May 2018
- Article
Using Online Prices for Measuring Real Consumption Across Countries
By: Alberto Cavallo, Erwin Diewert, Robert C. Feenstra, Robert Inklaar and Marcel P. Timmer
We show that online prices can be used to construct quarterly purchasing power parities (PPPs) with a closely matched set of goods and identical methodologies in a variety of developed and developing countries. Our results are close to those reported by the... View Details
Keywords: Purchasing Power Parity; International Economy; Online Prices; Billion Prices Project; Economics; Macroeconomics; Price; Internet and the Web; Spending; Economy; Global Range; Measurement and Metrics
Cavallo, Alberto, Erwin Diewert, Robert C. Feenstra, Robert Inklaar, and Marcel P. Timmer. "Using Online Prices for Measuring Real Consumption Across Countries." AEA Papers and Proceedings 108 (May 2018): 483–487.
- September 2017
- Article
The Advocacy Trap: When Legitimacy Building Inhibits Organizational Learning
By: Tiona Zuzul and Amy C. Edmondson
This paper describes a relationship between legitimacy building and learning for a new firm in a nascent industry. Through a longitudinal study of a new firm in the nascent smart city industry, we found that the firm failed to make progress on important internal... View Details
Keywords: Organizational Learning; Advocacy; Organizations; Learning; Organizational Culture; Entrepreneurship
Zuzul, Tiona, and Amy C. Edmondson. "The Advocacy Trap: When Legitimacy Building Inhibits Organizational Learning." Academy of Management Discoveries 3, no. 3 (September 2017): 302–321.
- 2019
- Working Paper
Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households
By: Retsef Levi, Elisabeth Paulson and Georgia Perakis
The federal government currently spends over $100 billion per year on policies aimed to increase fruit and vegetable (FV) consumption among low income households. These include price-, nutrition education-, and access-related interventions. Currently, the government... View Details
Keywords: Bi-level Optimization; Optimal Subsidies; Public Policy; Food Policy; Central Planner; Government Administration; Poverty; Food; Nutrition
Levi, Retsef, Elisabeth Paulson, and Georgia Perakis. "Optimal Interventions for Increasing Healthy Food Consumption Among Low Income Households." MIT Sloan Research Paper, No. 6053-19, November 2019.