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  • All HBS Web  (8,727)
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Show Results For

  • All HBS Web  (8,727)
    • People  (64)
    • News  (2,527)
    • Research  (3,044)
    • Events  (28)
    • Multimedia  (149)
  • Faculty Publications  (1,472)
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  • Research Summary

Dissertation - Social Structure and Mechanisms of Collective Production:Evidence from Wikipedia

Andreea's dissertation research examines social networks in the setting of collective production,  defined as collective action oriented towards production of collective goods - goods available for consumption by all members of a group whenever they... View Details

  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
  • 25 Aug 2008
  • Research & Ideas

HBS Cases: Walking Away from a $3 Billion Deal

It's no secret that private equity firms have enjoyed massive profits in recent years. In Private Equity Finance, a course in the second-year MBA elective curriculum, students follow the life cycle of a deal in order to learn more about... View Details
Keywords: by Julia Hanna; Financial Services
  • 2017
  • Working Paper

Discretionary Task Ordering: Queue Management in Radiological Services

By: Maria Ibanez, Jonathan R. Clark, Robert S. Huckman and Bradley R. Staats
Work scheduling research typically prescribes task sequences implemented by managers. Yet employees often have discretion to deviate from their prescribed sequence. Using data from 2.4 million radiological diagnoses, we find that doctors prioritize similar tasks... View Details
Keywords: Discretion; Scheduling; Queue; Healthcare; Learning; Experience; Decentralization; Delegation; Behavioral Operations; Operations; Service Operations; Service Delivery; Performance; Performance Effectiveness; Performance Efficiency; Performance Improvement; Performance Productivity; Decisions; Time Management; Cost vs Benefits; Health Industry
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Ibanez, Maria, Jonathan R. Clark, Robert S. Huckman, and Bradley R. Staats. "Discretionary Task Ordering: Queue Management in Radiological Services." Harvard Business School Working Paper, No. 16-051, October 2015. (Revised March 2017.)
  • 14 Jun 2024
  • News

Highlights from the Spring 2024 Alumni Board Meeting

Harvard Business School hosted its annual spring Alumni Board Meeting in late May, bringing together its members for a two-day event that included interactive sessions with faculty and HBS leadership on the School and its programs, updates on Board working groups, and... View Details
  • 29 Aug 2017
  • Blog Post

3 Insights from My First Year at HBS

ripe and unripened version that I will be testing in South Africa. A Rock Summer Fellowship from HBS provided me with funding so I could pursue this venture. I have already been applying what I have learned... View Details
  • 19 Jul 2010
  • News

Summer Venture in Management Program (SVMP) Brings Diverse Students from Over 40 Colleges to HBS

  • 21 May 2020
  • Research & Ideas

Fighting the COVID Blues: Advice from Business Research

Life was hard enough for the one-third of Americans who had wrestled with anxiety prior to the COVID-19 pandemic. Now, the disease that has killed almost 100,000 in the United States, left millions unemployed, and socially distanced many people View Details
Keywords: by Dina Gerdeman and Danielle Kost
  • 06 Jul 2020
  • Blog Post

A Letter from the Women in Investing Club

diversity. This year, we worked tirelessly alongside our Board to focus on these pillars and are excited to share the progress we made and offer a few thoughts on the path forward. 1. Presence on Campus It was our first year as a club independent View Details
  • 03 Nov 2021
  • Blog Post

Recent Grad Reflections: From Being Cold Called to Becoming a Case Protagonist

MBA Program, noted that “our students are right that protagonist diversity matters. By studying cases with a wide diversity of protagonists, students learn that talent and leadership come from all... View Details
  • Forthcoming
  • Article

An AI Method to Score Celebrity Visual Potential from Human Faces

By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton
It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details
Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing
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Feng, Flora, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan, and Cait Lamberton. "An AI Method to Score Celebrity Visual Potential from Human Faces." Journal of Marketing Research (JMR) (forthcoming). (Pre-published online February 12, 2025.)
  • Article

Analysts and Information Gaps: Lessons From the UAL Buyout

By: S. C. Gilson
Keywords: Information; Learning; Leveraged Buyouts
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Gilson, S. C. "Analysts and Information Gaps: Lessons From the UAL Buyout." Financial Analysts Journal 56, no. 6 (November–December 2000): 82–110.
  • 12 Feb 2018
  • Research & Ideas

Customers at the Back of the Line Are Anxious—Can You Keep Them from Leaving?

to learn how being last affects consumer behavior. To get started, Buell and Harvard student Jay Chakraborty observed customers at a local grocery store with five checkout lanes—a total of 286 customers over a cumulative five hour span.... View Details
Keywords: by Michael Blanding; Retail; Service
  • 11 Apr 2023
  • Blog Post

BTG Bioliquids: Creating Fast Pyrolysis Bio-Oil from Biomass Residue Streams

essays posted on the HBS Business and Environment Initiative’s Blog that highlights their reflections. Learn more about this IFC course on Decarbonization and Sustainable Production by watching this five minute video summary. As part of... View Details
  • June 2020
  • Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha
By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details
Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers
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Asensio, Omar Isaac, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer, and Sooji Ha. "Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure." Nature Sustainability 3, no. 6 (June 2020): 463–471.
  • 16 Oct 2023
  • HBS Case

Advancing Black Talent: From the Flight Ramp to 'Family-Sustaining' Careers at Delta

first learned about the OneTen coalition from fellow CEOs, he told them, “I am with you ... I don't know if I can pay anything now. But I will pay you with all the heart, soul, and grit of this company to... View Details
Keywords: by Lane Lambert; Air Transportation
  • 16 Jul 2018
  • Blog Post

3 Key Take-a-Ways From My Summer at Zalando

to customers’ requests when they call / send emails. I had the chance to shadow Customer Care specialist covering the Spanish market, who taught me the nitty-gritty of his job. It was striking to learn how Zalando has adapted the CuCa... View Details
Keywords: Consumer Products / Retail
  • 12 Apr 2007
  • Working Paper Summaries

From Manufacturing to Design: An Essay on the Work of Kim B. Clark

Keywords: by Sylvain Lenfle & Carliss Y. Baldwin; Manufacturing
  • 2013
  • Working Paper

The Dirty Laundry of Employee Award Programs: Evidence from the Field

By: Timothy Gubler, Ian I. Larkin and Lamar Pierce
Many scholars and practitioners have recently argued that corporate awards are a "free" way to motivate employees. We use field data from an attendance award program implemented at one of five industrial laundry plants to show that awards can carry significant... View Details
Keywords: Motivation and Incentives; Service Delivery; Performance Productivity; Failure; Service Industry
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Gubler, Timothy, Ian I. Larkin, and Lamar Pierce. "The Dirty Laundry of Employee Award Programs: Evidence from the Field." Harvard Business School Working Paper, No. 13-069, February 2013.
  • 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
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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).
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