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  • All HBS Web  (10,659)
    • People  (74)
    • News  (2,859)
    • Research  (3,827)
    • Events  (45)
    • Multimedia  (239)
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Show Results For

  • All HBS Web  (10,659)
    • People  (74)
    • News  (2,859)
    • Research  (3,827)
    • Events  (45)
    • Multimedia  (239)
  • Faculty Publications  (2,367)
← Page 4 of 10,659 Results →
  • 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
Citation
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Katz, Justin. "Saving and Consumption Responses to Student Loan Forbearance." SSRN Working Paper Series, January 2023.
  • 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
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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.
  • 04 Jan 2011
  • Working Paper Summaries

The Learning Effects of Monitoring

Keywords: by Dennis Campbell, Marc Epstein & Francisco de Asis Martinez-Jerez; Entertainment & Recreation
  • Article

From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning

By: Jean-François Harvey, Kevin J. Johnson, Kathryn S. Roloff and Amy C. Edmondson
Do teams with motivation to learn actually engage in the behaviors that produce learning? Though team learning orientation has been found to be positively related to team learning, we know little about how and when it actually fosters team learning. It is obviously not... View Details
Keywords: Emergent States; Goal Orientation; Open-mindedness; Psychological Safety; Team Learning; Teams; Groups and Teams; Learning; Goals and Objectives
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Harvey, Jean-François, Kevin J. Johnson, Kathryn S. Roloff, and Amy C. Edmondson. "From Orientation to Behavior: The Interplay Between Learning Orientation, Open-mindedness, and Psychological Safety in Team Learning." Human Relations 72, no. 11 (November 2019): 1726–1751.
  • 2017
  • Working Paper

Machine Learning Methods for Strategy Research

By: Mike Horia Teodorescu
Numerous applications of machine learning have gained acceptance in the field of strategy and management research only during the last few years. Established uses span such diverse problems as strategic foreign investments, strategic resource allocation, systemic risk... View Details
Keywords: Machine Learning; Natural Language Processing; Classification; Decision Trees; Strategic Decisions; Strategy; Research; Information Technology
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Teodorescu, Mike Horia. "Machine Learning Methods for Strategy Research." Harvard Business School Working Paper, No. 18-011, August 2017. (Revised October 2017.)
  • Article

Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
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Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
  • Article

Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption

By: Kyle Coombs, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu and Michael Stepner
In June 2021, 22 states ended all supplemental pandemic unemployment insurance (UI) benefits, eliminating benefits entirely for over 2 million workers and reducing benefits by $300 per week for over 1 million workers. Using anonymous bank transaction data and a... View Details
Keywords: COVID-19 Pandemic; Unemployment Insurance; Health Pandemics; Insurance; Employment; Financial Condition; Spending; Government Administration
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Coombs, Kyle, Arindrajit Dube, Calvin Jahnke, Raymond Kluender, Suresh Naidu, and Michael Stepner. "Early Withdrawal of Pandemic Unemployment Insurance: Effects on Earnings, Employment and Consumption." AEA Papers and Proceedings 112 (May 2022): 85–90.
  • August 2020
  • Article

Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation

By: Prithwiraj Choudhury, Evan Starr and Rajshree Agarwal
The use of machine learning (ML) for productivity in the knowledge economy requires considerations of important biases that may arise from ML predictions. We define a new source of bias related to incompleteness in real time inputs, which may result from strategic... View Details
Keywords: Machine Learning; Bias; Human Capital; Management; Strategy
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Choudhury, Prithwiraj, Evan Starr, and Rajshree Agarwal. "Machine Learning and Human Capital Complementarities: Experimental Evidence on Bias Mitigation." Strategic Management Journal 41, no. 8 (August 2020): 1381–1411.
  • 23 Oct 2013

2+2 Information Session: University of Pennsylvania

The information session is an opportunity for college and master degree students to learn more about the 2+2 application process to the MBA program and ask questions to an Admissions Board Member. The session will begin at 4:00 PM EST in Levine Hall Conference Room... View Details
  • March 2000
  • Supplement

Types of Learning Processes

By: David A. Garvin and Jeffrey Berger
Citation
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Garvin, David A., and Jeffrey Berger. "Types of Learning Processes." Harvard Business School Supplement 300-124, March 2000.
  • April 2020
  • Article

Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning

By: Ariel Dora Stern and W. Nicholson Price, II
In recent years, the applications of Machine Learning (ML) in the health care delivery setting have grown to become both abundant and compelling. Regulators have taken notice of these developments and the U.S. Food and Drug Administration (FDA) has been engaging... View Details
Keywords: Machine Learning; Causal Inference; Health Care and Treatment; Safety; Governing Rules, Regulations, and Reforms
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Stern, Ariel Dora, and W. Nicholson Price, II. "Regulatory Oversight, Causal Inference, and Safe and Effective Health Care Machine Learning." Biostatistics 21, no. 2 (April 2020): 363–367.
  • Article

Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption

By: J. T. Gourville and Dilip Soman
Keywords: Behavior; Demand and Consumers; Money
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Gourville, J. T., and Dilip Soman. "Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption." Journal of Consumer Research 25, no. 2 (September 1998): 160–174.
  • Article

The Intensity of Ethnic Affiliation: A Study in the Sociology of Hispanic Consumption

By: Rohit Deshpandé, Wayne D. Hoyer and Naveen Donthu
Citation
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Deshpandé, Rohit, Wayne D. Hoyer, and Naveen Donthu. "The Intensity of Ethnic Affiliation: A Study in the Sociology of Hispanic Consumption." Journal of Consumer Research 13, no. 2 (September 1986): 214–220.
  • 11 Jun 2021
  • News

The Future of Teaching and Learning

  • January 2020
  • Article

The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation

By: Tatyana Deryugina, Alexander MacKay and Julian Reif
We study the dynamics of residential electricity demand by exploiting a natural experiment that produced large and long-lasting price changes in over 250 Illinois communities. Using a flexible difference-in-differences matching approach, we estimate that the price... View Details
Keywords: Electricity Demand; Consumption Dynamics; Energy; Policy; Demand and Consumers; Price; Mathematical Methods
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Deryugina, Tatyana, Alexander MacKay, and Julian Reif. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation." American Economic Journal: Applied Economics 12, no. 1 (January 2020): 86–114.
  • 09 Nov 2016
  • News

The Seeds of Learning

Adam Zmick (MBA 2011) is cofounder of Gardeneers, an environmental education organization based in Chicago, Illinois. In this interview, he explains the connections between learning about food and children’s... View Details
  • October 2017 (Revised April 2018)
  • Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson
Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details
Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States
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Toffel, Michael W., Dan Levy, Jose Ramon Morales Arilla, and Matthew S. Johnson. "Improving Worker Safety in the Era of Machine Learning (A)." Harvard Business School Case 618-019, October 2017. (Revised April 2018.)
  • 2011
  • Chapter

The Contribution of Teams to Organizational Learning

By: Kathryn S. Roloff, Anita W. Woolley and Amy C. Edmondson
Organizational learning theorists have proposed that teams play a critical role in organizational learning (Senge, 1990; Edmondson, 2002). Indeed, as organizations become increasingly more global, teams are formed to leverage knowledge, to increase efficiency, and to... View Details
Keywords: Organizational Change and Adaptation; Groups and Teams; Learning
Citation
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Roloff, Kathryn S., Anita W. Woolley, and Amy C. Edmondson. "The Contribution of Teams to Organizational Learning." In Handbook of Organizational Learning and Knowledge Management. 2nd ed. Edited by M. Easterby-Smith and M. Lyles, 249–272. London: John Wiley & Sons, 2011.
  • June 2001
  • Article

The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption

By: John T. Gourville and Dilip Soman
Keywords: Customers
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Gourville, John T., and Dilip Soman. "The Potential Downside of Bundling: How Packaging Services Can Hurt Consumption." Cornell Hotel and Restaurant Administration Quarterly 42, no. 3 (June 2001): 29–37.
  • 2018
  • Other Unpublished Work

The Upsides of Bingeing: How Consumption Rate Affects Perceptions of Consumers, Brands, and Experiences

By: Anne Wilson and Anat Keinan
Citation
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Wilson, Anne, and Anat Keinan. "The Upsides of Bingeing: How Consumption Rate Affects Perceptions of Consumers, Brands, and Experiences." November 2018.
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