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Show Results For
- All HBS Web
(4,105)
- People (2)
- News (544)
- Research (2,834)
- Events (51)
- Multimedia (21)
- Faculty Publications (2,045)
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- 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
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.
- 2017
- Chapter
Paul R. Lawrence: A Career of Rigor, Relevance, and Passion
By: Michael Tushman
Paul R. Lawrence was one of the earliest and most influential figures in the emergence of organizational behavior as a field of study. He was a pioneer in creating a body of work on organization design, leadership, and change in both the private and public sectors.... View Details
Keywords: Organization Design; Contingency Theory; Public And Private Organizations; Rigor And Relevance; Biography; Organizational Design; Leadership; Learning; Leading Change
Tushman, Michael. "Paul R. Lawrence: A Career of Rigor, Relevance, and Passion." In The Palgrave Handbook of Organizational Change Thinkers. Continuously updated ed. Edited by David Szabla, William Pasmore, Mary Barnes, and Asha Gipson. Springer, 2017. Electronic. (doi: 10.1007/978-3-319-49820-1_12-2.)
- Forthcoming
- Article
When Should Public Programs Be Privately Administered? Theory and Evidence from the Paycheck Protection Program
By: Alexander W. Bartik, Zoë 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
Bartik, Alexander W., Zoë 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." Review of Economics and Statistics (forthcoming).
- 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
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.)
- March–April 2012
- Article
The Genesis and Dynamics of Organizational Networks
By: Gautam Ahuja, Guiseppe Soda and Akbar Zaheer
An extensive body of knowledge exists on network outcomes and on how network structures may contribute to the creation of outcomes at different levels of analysis, but less attention has been paid to understanding how and why organizational networks emerge, evolve, and... View Details
Keywords: Economic Sociology; Economics And Organization; Social Networks; Organization And Management Theory; Interorganizatonal Relationships; Networks; Strategy; Change
Ahuja, Gautam, Guiseppe Soda, and Akbar Zaheer. "The Genesis and Dynamics of Organizational Networks." Organization Science 23, no. 2 (March–April 2012): 434–448.
- Article
Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error
By: Celia Cintas, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan and Edward McFowland III
Reliably detecting attacks in a given set of inputs is of high practical relevance because of the vulnerability of neural networks to adversarial examples. These altered inputs create a security risk in applications with real-world consequences, such as self-driving... View Details
Keywords: Autoencoder Networks; Pattern Detection; Subset Scanning; Computer Vision; Statistical Methods And Machine Learning; Machine Learning; Deep Learning; Data Mining; Big Data; Large-scale Systems; Mathematical Methods; Analytics and Data Science
Cintas, Celia, Skyler Speakman, Victor Akinwande, William Ogallo, Komminist Weldemariam, Srihari Sridharan, and Edward McFowland III. "Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error." Proceedings of the International Joint Conference on Artificial Intelligence 29th (2020).
- 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
Hagiu, Andrei, and Julian Wright. "Controlling Versus Enabling." Harvard Business School Working Paper, No. 16-002, July 2015. (Revised July 2016.)
- 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
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.
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal... View Details
Keywords: Ride-sharing; Routine; Machine Learning; Customer Relationship Management; Consumer Behavior; Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- 2021
- Conference Presentation
An Algorithmic Framework for Fairness Elicitation
By: Christopher Jung, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton and Zhiwei Steven Wu
We consider settings in which the right notion of fairness is not captured by simple mathematical definitions (such as equality of error rates across groups), but might be more complex and nuanced and thus require elicitation from individual or collective stakeholders.... View Details
Jung, Christopher, Michael J. Kearns, Seth Neel, Aaron Leon Roth, Logan Stapleton, and Zhiwei Steven Wu. "An Algorithmic Framework for Fairness Elicitation." Paper presented at the 2nd Symposium on Foundations of Responsible Computing (FORC), 2021.
- 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
- 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
Serafeim, George. "Public Sentiment and the Price of Corporate Sustainability." Financial Analysts Journal 76, no. 2 (2020): 26–46.
- 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
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).
- 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
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.)
- 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
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.
- 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
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.
- 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
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.
- 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
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.
- 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
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.
- Research Summary
Overview
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
1. How to build... View Details