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  • All HBS Web  (830)
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Show Results For

  • All HBS Web  (830)
    • News  (204)
    • Research  (429)
    • Events  (4)
    • Multimedia  (7)
  • Faculty Publications  (291)
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  • 2023
  • Working Paper

Feature Importance Disparities for Data Bias Investigations

By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
  • September–October 2024
  • Article

How AI Can Power Brand Management

By: Julian De Freitas and Elie Ofek
Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it... View Details
Keywords: Creativity; AI and Machine Learning; Brands and Branding; Product Positioning; Customer Focus and Relationships
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De Freitas, Julian, and Elie Ofek. "How AI Can Power Brand Management." Harvard Business Review 102, no. 5 (September–October 2024): 108–114.
  • Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
  • 2023
  • Working Paper

Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?

By: Sergey Chernenko, Nathan Kaplan, Asani Sarkar and David S. Scharfstein
We use the 2020 Small Business Credit Survey to study the sources of racial disparities in use of the Paycheck Protection Program (PPP). Black-owned firms are 8.9 percentage points less likely than observably similar white-owned firms to receive PPP loans. About 55% of... View Details
Keywords: Borrowing and Debt; Small Business; Race; Financing and Loans
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Chernenko, Sergey, Nathan Kaplan, Asani Sarkar, and David S. Scharfstein. "Applications or Approvals: What Drives Racial Disparities in the Paycheck Protection Program?" NBER Working Paper Series, No. 31172, April 2023.
  • 2019
  • Working Paper

Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes

By: Carliss Y. Baldwin
The purpose of this chapter is to examine the value structure of flow production processes and to explain why it is necessary to rationalize flow processes using the tools of systematic management. I first explain the problems facing managers of multi-step flow... View Details
Keywords: Flow Processes; Bottlenecks; Systematic Management; Production; Management; Problems and Challenges
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Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 8 Rationalizing Flow Processes." Harvard Business School Working Paper, No. 20-032, September 2019.
  • 22 Nov 2023
  • Research & Ideas

Humans vs. Machines: Untangling the Tasks AI Can (and Can't) Handle

nuances of its limits. Since ChatGPT debuted a year ago, automation hopes and fears—previously limited to factory floors and supermarket checkout lines—have shaken the ranks of... View Details
Keywords: by Rachel Layne; Information Technology; Technology
  • 2020
  • Working Paper

Sticky Capital Controls

By: Miguel Acosta-Henao, Laura Alfaro and Andres Fernandez
There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details
Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics
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Acosta-Henao, Miguel, Laura Alfaro, and Andres Fernandez. "Sticky Capital Controls." NBER Working Paper Series, No. 26997, April 2020.
  • January 2018 (Revised November 2018)
  • Case

Index

By: Jose Alvarez and Julia Kelley
In December 2017, Marc Freed-Finnegan and Jonathan Wall, the co-founders of retail technology company Index, had to discuss the company’s direction as they entered 2018. Five years earlier, Freed-Finnegan and Wall had founded Index after observing the technological... View Details
Keywords: Product Launch; Product Positioning; Sales; Strategy; Marketing Strategy; Retail Industry; Technology Industry
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Alvarez, Jose, and Julia Kelley. "Index." Harvard Business School Case 518-038, January 2018. (Revised November 2018.)
  • March 2022
  • Article

Where to Locate COVID-19 Mass Vaccination Facilities?

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
  • 15 Mar 2016
  • First Look

March 15, 2016

Case 516-059 Ocado In 2015, U.K.–based Ocado was the world's largest pure player in the online home-delivery grocery business and was gaining a growing share of the highly competitive U.K. grocery market. Ocado had made heavy investments... View Details
  • August 1998
  • Case

Electronic Commerce at Air Products

By: F. Warren McFarlan and Melissa Dailey
In 1998,chief information officers (CIOs) in the highly competitive international gases and chemicals business faced the reality that electronic commerce capability was a strategic necessity. The results of annual surveys of technology officers in the chemical industry... View Details
Keywords: Management Teams; Information Technology; Globalized Markets and Industries; Infrastructure; Internet and the Web; Technology Adoption; Business Strategy; Chemical Industry; United States
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McFarlan, F. Warren, and Melissa Dailey. "Electronic Commerce at Air Products." Harvard Business School Case 399-035, August 1998.
  • 26 Mar 2024
  • Research & Ideas

How Humans Outshine AI in Adapting to Change

solve other than navigation when it unexpectedly gets stuck in a ditch. “Algorithms can be very good at specialized tasks, and sometimes even have almost superhuman capabilities when confined to specific domains,” says De Freitas, who... View Details
Keywords: by Rachel Layne; Technology; Information Technology
  • Article

Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting

By: Raymond H. Mak, Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani and Eva C. Guinan
Importance: Radiation therapy (RT) is a critical cancer treatment, but the existing radiation oncologist work force does not meet growing global demand. One key physician task in RT planning involves tumor segmentation for targeting, which requires substantial... View Details
Keywords: Crowdsourcing; AI Algorithms; Health Care and Treatment; Collaborative Innovation and Invention; AI and Machine Learning
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Mak, Raymond H., Michael G. Endres, Jin Hyun Paik, Rinat A. Sergeev, Hugo Aerts, Christopher L. Williams, Karim R. Lakhani, and Eva C. Guinan. "Use of Crowd Innovation to Develop an Artificial Intelligence-Based Solution for Radiation Therapy Targeting." JAMA Oncology 5, no. 5 (May 2019): 654–661.
  • 11 Jun 2024
  • In Practice

The Harvard Business School Faculty Summer Reader 2024

As the vacation season looms, Harvard Business School faculty members share recommendations for a little light reading. Spoiler alert: Lessons in Chemistry tops two of their beach-read lists. For those whose brains can’t—or won’t—turn off, HBS faculty also suggest some... View Details
Keywords: by Avery Forman
  • Research Summary

Using IT to Leverage Human Resources in Services

Discussion of the Internet and IT to date concentrates on how they will replace, rather than support, human service providers. While this approach is appropriate for a few firms, it is inadequate for many. The Internet and other information technology... View Details

  • 2022
  • Article

OpenXAI: Towards a Transparent Evaluation of Model Explanations

By: Chirag Agarwal, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik and Himabindu Lakkaraju
While several types of post hoc explanation methods have been proposed in recent literature, there is very little work on systematically benchmarking these methods. Here, we introduce OpenXAI, a comprehensive and extensible opensource framework for evaluating and... View Details
Keywords: Measurement and Metrics; Analytics and Data Science
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Agarwal, Chirag, Satyapriya Krishna, Eshika Saxena, Martin Pawelczyk, Nari Johnson, Isha Puri, Marinka Zitnik, and Himabindu Lakkaraju. "OpenXAI: Towards a Transparent Evaluation of Model Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022).
  • 15 May 2024
  • Research & Ideas

A Major Roadblock for Autonomous Cars: Motorists Believe They Drive Better

Think you’re a better driver than most people? You’re not alone. And you may be one reason self-driving cars haven’t taken off. About 77 percent of participants surveyed in a new study rated themselves superior to View Details
Keywords: by Rachel Layne; Transportation; Auto
  • August 2015 (Revised May 2017)
  • Case

TSG Hoffenheim: Football in the Age of Analytics

By: Feng Zhu, Karim R. Lakhani, Sascha L. Schmidt and Kerry Herman
In 2015, Dietmar Hopp, owner of Germany's Bundesliga football team TSG Hoffenheim and co-founder of the global enterprise software company SAP, was considering how to ensure long-term sustainability and competitiveness for TSG Hoffenheim. While historically a small... View Details
Keywords: Information Technology; Measurement and Metrics; Sports; Sports Industry
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Zhu, Feng, Karim R. Lakhani, Sascha L. Schmidt, and Kerry Herman. "TSG Hoffenheim: Football in the Age of Analytics." Harvard Business School Case 616-010, August 2015. (Revised May 2017.)
  • January 1987
  • Article

Posterior Implementability in a Two-person Decision Problem

By: Jerry R. Green and Jean-Jacques Laffont
When a decision rule is implemented using a Bayesian incentive compatible mechanism in which the messages are publicly observable, the players' information is augmented by their observation of each others' strategies. In this paper we study the set of Bayesian... View Details
Keywords: Incentives; Commitment; Mechanism Design; Decision Making; Information
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Green, Jerry R., and Jean-Jacques Laffont. "Posterior Implementability in a Two-person Decision Problem." Econometrica 55, no. 1 (January 1987): 69–94.
  • April 2024 (Revised November 2024)
  • Case

Moderna: Pioneering a People Platform to Accelerate Science Innovation

By: Tatiana Sandino, Emil Dy and Samuel Grad
Moderna was founded in 2010 to explore how messenger ribonucleic acid (mRNA) could be used to create breakthrough medicines by encoding instructions for the body to create antibodies. When Stéphane Bancel (HBS 2000) took over in 2011, he bet on the potential of this... View Details
Keywords: Disruptive Innovation; Talent and Talent Management; Selection and Staffing; AI and Machine Learning; Digital Strategy; Innovation and Management; Leadership Development; Management Practices and Processes; Management Systems; Organizational Culture; Performance Evaluation; Alignment; Employee Relationship Management; Science-Based Business; Expansion; Pharmaceutical Industry; Biotechnology Industry; United States
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Sandino, Tatiana, Emil Dy, and Samuel Grad. "Moderna: Pioneering a People Platform to Accelerate Science Innovation." Harvard Business School Case 124-091, April 2024. (Revised November 2024.)
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