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  • All HBS Web  (3,998)
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  • All HBS Web  (3,998)
    • People  (2)
    • News  (544)
    • Research  (2,843)
    • Events  (51)
    • Multimedia  (21)
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← Page 23 of 3,998 Results →
  • 2023
  • Working Paper

When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program

By: Alexander Bartik, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton and Adi Sunderam
What happens when public resources are allocated by private companies whose objectives may be imperfectly aligned with policy goals? We study this question in the context of the Paycheck Protection Program (PPP), which relied on private banks to disburse aid to small... View Details
Keywords: Paycheck Protection Program; Targeting; Impact; Entrepreneurship; Health Pandemics; Small Business; Financing and Loans; Outcome or Result; United States
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Bartik, Alexander, Zoë B. Cullen, Edward L. Glaeser, Michael Luca, Christopher Stanton, and Adi Sunderam. "When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program." Harvard Business School Working Paper, No. 21-021, August 2020. (Revised July 2023. Accepted at The Review of Economics and Statistics.)
  • March 2018
  • Case

IBM: Watson and the Internet of Things

By: Rajiv Lal and Scott Johnson
IBM has recently launched a business unit devoted to the Internet of Things. The group's leadership team needs to figure out the best way to quickly scale its business in a fragmented and nascent market. View Details
Keywords: IBM; Internet Of Things; Watson; Artificial Intelligence; Internet and the Web; Applications and Software; Mobile and Wireless Technology; Growth and Development Strategy; Emerging Markets; AI and Machine Learning; Technology Industry
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Lal, Rajiv, and Scott Johnson. "IBM: Watson and the Internet of Things." Harvard Business School Case 518-027, March 2018.
  • 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).
  • 26 Sep 2024
  • News

When I Became President of KFC, Franchisees and Corporate Hated Each Other. But I Believed This Behavioral Theory Could Bring Them Back Together.

  • 2017
  • Working Paper

Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments

By: Daniel J. Benjamin, Don A. Moore and Matthew Rabin
This paper describes results of a pair of incentivized experiments on biases in judgments about random samples. Consistent with the Law of Small Numbers (LSN), participants exaggerated the likelihood that short sequences and random subsets of coin flips would be... View Details
Keywords: Probability; Economic Theory; Analysis; Incentives
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Benjamin, Daniel J., Don A. Moore, and Matthew Rabin. "Biased Beliefs About Random Samples: Evidence from Two Integrated Experiments." NBER Working Paper Series, No. 23927, October 2017.
  • July–August 2016
  • Article

Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets

By: Ayelet Israeli, Eric Anderson and Anne Coughlan
Manufacturers in many industries frequently use vertical price policies, such as minimum advertised price (MAP), to influence prices set by downstream retailers. Although manufacturers expect retail partners to comply with MAP policies, violations of MAP are common in... View Details
Keywords: Pricing Policies; Pricing; Channel Management; Legal Aspects Of Business; Price; Governance Compliance; Marketing Channels; Retail Industry
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Israeli, Ayelet, Eric Anderson, and Anne Coughlan. "Minimum Advertised Pricing: Patterns of Violation in Competitive Retail Markets." Marketing Science 35, no. 4 (July–August 2016): 539–564. (Lead article.)
  • October 2015 (Revised October 2016)
  • Case

Building Watson: Not So Elementary, My Dear! (Abridged)

By: Willy C. Shih
This case is set inside IBM Research's efforts to build a computer that can successfully take on human challengers playing the game show Jeopardy! It opens with the machine named Watson offering the incorrect answer "Toronto" to a seemingly simple question during the... View Details
Keywords: Analytics; Big Data; Business Analytics; Product Development Strategy; Machine Learning; Machine Intelligence; Artificial Intelligence; Product Development; AI and Machine Learning; Information Technology; Analytics and Data Science; Information Technology Industry; United States
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Shih, Willy C. "Building Watson: Not So Elementary, My Dear! (Abridged)." Harvard Business School Case 616-025, October 2015. (Revised October 2016.)
  • Web

Lenders to the Exhibit - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

HBS Quick Links HBS Home MBA Executive Education Doctoral Programs Faculty and Research Alumni Publishing Site Index HBS Home Contact Us Map/Directions Option Pricing in Theory & Practice: The Nobel Prize Research View Details
  • Research Summary

Overview

By: Himabindu Lakkaraju
I develop machine learning tools and techniques which enable human decision makers to make better decisions. More specifically, my research addresses the following fundamental questions pertaining to human and algorithmic decision-making:

1. How to build... View Details
Keywords: Artificial Intelligence; Machine Learning; Decision Analysis; Decision Support
  • Article

Integrating: A Managerial Practice that Enables Implementation in Fragmented Health Care Environments

By: Michaela J. Kerrissey, Patricia Satterstrom, Nicholas Leydon, Gordon Schiff and Sara J. Singer
How some organizations improve while others remain stagnant is a key question in health care research. This inductive qualitative study examines primary care clinics implementing improvement efforts in order to identify mechanisms that enable implementation despite... View Details
Keywords: Organization And Management Theory; Quality Improvement; Health Care and Treatment; Performance Improvement; Integration; Cooperation
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Kerrissey, Michaela J., Patricia Satterstrom, Nicholas Leydon, Gordon Schiff, and Sara J. Singer. "Integrating: A Managerial Practice that Enables Implementation in Fragmented Health Care Environments." Health Care Management Review 42, no. 3 (July–September 2017): 213–225.
  • 2016
  • Working Paper

Controlling Versus Enabling

By: Andrei Hagiu and Julian Wright
Revenue sharing between principals and agents is commonly used to balance double-sided moral hazard. We provide a theory of how, when such revenue-sharing is optimal, a principal allocates control rights over decisions that either party could make. We show that the... View Details
Keywords: Control Rights; Decision Authority; Employment; Independent Contractors; Organizational Theory; Digital Platforms; Governance Controls; Ethics; Vertical Integration
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Hagiu, Andrei, and Julian Wright. "Controlling Versus Enabling." Harvard Business School Working Paper, No. 16-002, July 2015. (Revised July 2016.)
  • April 2025
  • Article

Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile

By: Shunyuan Zhang, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar and Xupin Zhang
Non-informational cues, such as facial expressions, can significantly influence judgments and interpersonal impressions. While past research has explored how smiling affects business outcomes in offline or in-store contexts, relatively less is known about how smiling... View Details
Keywords: Sharing Economy; Airbnb; Image Feature Extraction; Machine Learning; Facial Expressions; Prejudice and Bias; Nonverbal Communication; E-commerce; Consumer Behavior; Perception
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Zhang, Shunyuan, Elizabeth Friedman, Kannan Srinivasan, Ravi Dhar, and Xupin Zhang. "Serving with a Smile on Airbnb: Analyzing the Economic Returns and Behavioral Underpinnings of the Host’s Smile." Journal of Consumer Research 51, no. 6 (April 2025): 1073–1097.
  • Article

Small States in an Age of Empires: The Duchy of Parma's Colonial Moment, 1750–1770

By: Arnaud Orain and Sophus A. Reinert
Often thought of as the "Athens of Italy" during the Enlightenment, and as a microcosm of the Italian peninsula and of the eighteenth century alike, the Duchy of Parma played a unique role in the culture and politics of the age. This essay focuses on its "colonial... View Details
Keywords: Duchy Of Parma; French Empire; Internal Colonization; Enlightenment; Political Economy; Small States In World Markets; Guillaume Dutillot; Étienne-François De Choiseul
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Orain, Arnaud, and Sophus A. Reinert. "Small States in an Age of Empires: The Duchy of Parma's Colonial Moment, 1750–1770." Capitalism: A Journal of History and Economics 3, no. 1 (Winter 2022): 57–105.
  • 2014
  • Article

The Governance of Social Enterprises: Mission Drift and Accountability Challenges in Hybrid Organizations

By: Alnoor Ebrahim, Julie Battilana and Johanna Mair
We examine the challenges of governance facing organizations that pursue a social mission through the use of market mechanisms. These hybrid organizations, often referred to as social enterprises, combine aspects of both charity and business at their core. In this... View Details
Keywords: Governance; Hybrid Organizations; Nonprofit; Performance Measurement; Legal Form; Agency Theory; Stakeholder Management; Mission and Purpose; Social Enterprise; Corporate Accountability
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Ebrahim, Alnoor, Julie Battilana, and Johanna Mair. "The Governance of Social Enterprises: Mission Drift and Accountability Challenges in Hybrid Organizations." Research in Organizational Behavior 34 (2014): 81–100.
  • 2016
  • Working Paper

Explaining the Persistence of Gender Inequality: The Work-Family Narrative as a Social Defense Against the 24/7 Work Culture

By: Irene Padavic, Robin J. Ely and Erin M. Reid
It is widely accepted that the conflict women experience between family obligations and professional jobs’ long hours lies at the heart of their stalled advancement. Yet research suggests that this “work-family narrative” is partial at best: men, too, experience... View Details
Keywords: 24/7 Work Culture; Hegemonic Narrative; Social Defense; Work-family Conflict; Systems Psychodynamic Theory; Work-Life Balance; Personal Development and Career; Gender; Equality and Inequality; Organizational Culture
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Padavic, Irene, Robin J. Ely, and Erin M. Reid. "Explaining the Persistence of Gender Inequality: The Work-Family Narrative as a Social Defense Against the 24/7 Work Culture." Harvard Business School Working Paper, No. 17-038, October 2016.
  • September–October 2021
  • Article

Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details
Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
  • December 1, 2021
  • Article

Do You Know How Your Teams Get Work Done?

By: Rohan Narayana Murty, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna and Kartik Hosanagar
In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do. This is a major problem because it can lead to unrealistic digital... View Details
Keywords: Leading Teams; Work Recall Gap; Machine Learning; Algorithms; Groups and Teams; Management; Technological Innovation
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Murty, Rohan Narayana, Rajath B. Das, Scott Duke Kominers, Arjun Narayan, Suraj Srinivasan, Tarun Khanna, and Kartik Hosanagar. "Do You Know How Your Teams Get Work Done?" Harvard Business Review Digital Articles (December 1, 2021).
  • 14 Aug 2017
  • Conference Presentation

A Convex Framework for Fair Regression

By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth
We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details
Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods
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Berk, Richard, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Roth. "A Convex Framework for Fair Regression." Paper presented at the 4th Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), August 14, 2017.
  • 2020
  • Article

Public Sentiment and the Price of Corporate Sustainability

By: George Serafeim
Combining corporate sustainability performance scores based on environmental, social, and governance (ESG) data with big data measuring public sentiment about a company’s sustainability performance, I find that the valuation premium paid for companies with strong... View Details
Keywords: Sustainability; ESG; ESG (Environmental, Social, Governance) Performance; Investment Management; Investment Strategy; Big Data; Machine Learning; Environment; Environmental Sustainability; Corporate Governance; Performance; Asset Pricing; Investment; Management; Strategy; Human Capital; Public Opinion; Value; Analytics and Data Science
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Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
  • 17 May 2022
  • News

Harvard Professor Reveals Why You Feel Lost & Unhappy in Life | Arthur Brooks on Impact Theory

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