• 13 Feb 2024
• Research & Ideas

Breaking Through the Self-Doubt That Keeps Talented Women from Leading

be a low-cost way for employers to grow the set of qualified, female applicants.” State the amount of experience and the skills candidates should possess. “While it may not always be possible to remove all ambiguity about required... View Details

Keywords: by Kara Baskin

• 06 Oct 2023
• Book

Yes, You Can Radically Change Your Organization in One Week

organization forward at the speed of change. One is running better meetings.” Frei: “Another is removing ‘work in process’ from the system, an idea based on Little’s Law. Instead of working harder, find ways to work smarter.” Operational... View Details

Keywords: by Kristen Senz

• 2023
• Article

Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten

By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma

The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Decision Making; Governing Rules, Regulations, and Reforms

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Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.

• 2013
• Working Paper

Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration

By: Anita L. Tucker

Operational failures persist in hospitals, in part because employees work around them rather than attempt to prevent recurrence. Drawing on a process improvement tool—the Andon cord—we examine three work design components that may foster improvement-oriented behaviors:... View Details

Keywords: Health Care; Process Improvement; Organizational Learning; Behavioral Operations; Prosocial Behavior; Experiments; Organizational Change and Adaptation; Behavior; Performance Improvement; Health Care and Treatment; Business Processes; Health Industry

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Tucker, Anita L. "Work Design Drivers of Organizational Learning about Operational Failures: A Laboratory Experiment on Medication Administration." Harvard Business School Working Paper, No. 13-044, November 2012. (Revised September 2013.)

• 17 May 2017
• Research & Ideas

Minorities Who 'Whiten' Job Resumes Get More Interviews

removed from resumes before hiring managers see them. Companies can also perform regular checks for discrimination in the screening process, for example by measuring how many minorities applied for a position and comparing that with the... View Details

Keywords: by Dina Gerdeman

• 19 Dec 2023
• Research & Ideas

$15 Billion in Five Years: What Data Tells Us About MacKenzie Scott’s Philanthropy

$25,000 of annual revenue Private foundations After removing these and a few other special cases for which tax data were not available, we were left with 1,625 organizations. Of these, 1,190 organizations disclosed the size of their... View Details

Keywords: by Matthew Lee, Brian Trelstad, and Ethan Tran

• 25 Feb 2014
• First Look

First Look: February 25

  Publications August 2013 Social Psychological & Personality Science Matchmaking Promotes Happiness By: Anik, Lalin, and Michael I. Norton Abstract—Four studies document and explore the psychology underlying people's proclivity to connect people to each other-to... View Details

Keywords: Sean Silverthorne

• 22 Feb 2024
• Research & Ideas

How to Make AI 'Forget' All the Private Data It Shouldn't Have

There’s a virtual elephant in AI’s room: It’s nearly impossible to make the technology forget. And there are an increasing number of scenarios where consumers and programmers may not only want to remove data from a machine learning... View Details

Keywords: by Rachel Layne; Technology; Information Technology

• 2020
• Working Paper

To Infinity and Beyond: Scaling Economic Theories via Logical Compactness

By: Yannai A. Gonczarowski, Scott Duke Kominers and Ran I. Shorrer

Many economic-theoretic models incorporate finiteness assumptions that, while introduced for simplicity, play a real role in the analysis. Such assumptions introduce a conceptual problem, as results that rely on finiteness are often implicitly nonrobust; for example,... View Details

Keywords: Markets; Analysis; Game Theory

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Gonczarowski, Yannai A., Scott Duke Kominers, and Ran I. Shorrer. "To Infinity and Beyond: Scaling Economic Theories via Logical Compactness." Harvard Business School Working Paper, No. 19-127, June 2019. (Revised November 2020.)

• February 2023
• Supplement

Graphic Packaging: Project Cowboy (A) Courseware

By: Benjamin C. Esty and Scott Mayfield

In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details

Keywords: Capital Budgeting; Growth Management; Demand and Consumers; Duopoly and Oligopoly; Competitive Strategy; Competitive Advantage; Expansion; Value Creation; Supply and Industry; Pulp and Paper Industry; Manufacturing Industry; United States; North America

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Esty, Benjamin C., and Scott Mayfield. "Graphic Packaging: Project Cowboy (A) Courseware." Harvard Business School Spreadsheet Supplement 223-709, February 2023.

• 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.

Competing in the Age of AI

Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From... View Details

• 2017
• Other Article

Designing an Agile Software Portfolio Architecture: The Impact of Coupling on Performance

By: Alan MacCormack and Robert Lagerstrom

The modern industrial corporation encompasses a myriad of different software applications, each of which must work in concert to deliver functionality to end-users. However, the increasingly complex and dynamic nature of competition in today’s product-markets dictates... View Details

Keywords: Applications and Software; Design; Organizational Change and Adaptation; Performance Effectiveness

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MacCormack, Alan, and Robert Lagerstrom. "Designing an Agile Software Portfolio Architecture: The Impact of Coupling on Performance." Academy of Management Annual Meeting Proceedings (2017). (doi:10.5465/AMBPP.2017.297, ISSN 2151-6561.)

• February 2023 (Revised March 2025)
• Case

Graphic Packaging: Project Cowboy (A)

By: Benjamin C. Esty and E. Scott Mayfield

In July 2019, Graphic Packaging CEO Michael Doss was proposing a $600 million investment in a new machine to produce coated recycled board (CRB), a type of paper packaging used for consumer products (cups, cereal boxes, beverage boxes, etc.) that utilized recycled... View Details

Keywords: Capital Budgeting; Growth Management; Demand and Consumers; Duopoly and Oligopoly; Competitive Strategy; Competitive Advantage; Expansion; Value Creation; Supply and Industry; Pulp and Paper Industry; Manufacturing Industry; United States; North America

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Esty, Benjamin C., and E. Scott Mayfield. "Graphic Packaging: Project Cowboy (A)." Harvard Business School Case 223-009, February 2023. (Revised March 2025.)