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- Faculty Publications (33)
Show Results For
- All HBS Web
(368)
- People (1)
- News (94)
- Research (175)
- Multimedia (2)
- Faculty Publications (33)
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- May–June 2018
- Article
What Most People Get Wrong about Men and Women: Research Shows the Sexes Aren't So Different
By: Catherine H. Tinsley and Robin J. Ely
Why have women failed to achieve parity with men in the workplace? Contrary to popular belief, it’s not because women prioritize their families over their careers, negotiate poorly, lack confidence, or are too risk averse. Meta-analyses of published studies show that... View Details
Keywords: Working Conditions; Gender; Equality and Inequality; Organizational Culture; Change Management
Tinsley, Catherine H., and Robin J. Ely. "What Most People Get Wrong about Men and Women: Research Shows the Sexes Aren't So Different." Harvard Business Review 96, no. 3 (May–June 2018): 114–121.
- 2024
- Working Paper
Global Evidence on Gender Gaps and Generative AI
By: Nicholas G. Otis, Solène Delecourt, Katelynn Cranney and Rembrand Koning
Generative AI has the potential to transform productivity and reduce inequality, but only if used broadly. In this paper, we show that recently identified gender gaps in AI use are nearly universal. Synthesizing evidence from 16 studies that surveyed 100,000... View Details
Otis, Nicholas G., Solène Delecourt, Katelynn Cranney, and Rembrand Koning. "Global Evidence on Gender Gaps and Generative AI." Harvard Business School Working Paper, No. 25-023, October 2024.
- 2019
- Article
An Empirical Study of Rich Subgroup Fairness for Machine Learning
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
- Research Summary
Profitable Souls: Foreign Investment and the Fate of Human Rights
By: Debora L. Spar
This is a project about foreign investment, about what happens when big multinational firms invest in small, poor, and often nasty places. Typically, most observers assume that this is a largely negative relationship: that multinationals exploit the local population,... View Details
- December 2004
- Supplement
Basic Statistics from the World Bank's World Development Indicators, 2004
By: David A. Moss, Sarah A. Brennan and Peter Epstein
Provides basic economic and social indicators for 145 countries, drawn from the World Bank's World Development Indicators (2004). The data include: population, land area, GNP per capita, real GDP growth, life expectancy, adult illiteracy, fertility rate, access to... View Details
Moss, David A., Sarah A. Brennan, and Peter Epstein. "Basic Statistics from the World Bank's World Development Indicators, 2004." Harvard Business School Supplement 705-022, December 2004.
- 26 Mar 2013
- First Look
First Look: March 26
of employees. We show that employees rely on this information to increase access to credit for borrowers, provide more favorable pricing terms, and reduce the ex-post risk of their lending decisions. These effects remain even when this... View Details
Keywords: Sean Silverthorne
- Research Summary
Making Markets Work: An Executive Education Program for Africa
By: Debora L. Spar
In the last decades of the 20th century economic growth was distributed unevenly across the world. While some countries experienced sustained and unprecedented prosperity, others fell further and further behind. This widening gap was particularly evident in Africa,... View Details
- 24 Jul 2012
- First Look
First Look: July 24
gain access to valuable knowledge because a KR is universally and constantly available and can be used without social interaction. However, for it to serve this equalizing function, those on the periphery of... View Details
Keywords: Sean Silverthorne
- Article
Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness
By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
The most prevalent notions of fairness in machine learning are statistical definitions: they fix a small collection of pre-defined groups, and then ask for parity of some statistic of the classifier (like classification rate or false positive rate) across these groups.... View Details
Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness." Proceedings of the International Conference on Machine Learning (ICML) 35th (2018).
- 10 Nov 2014
- Working Paper Summaries
Crony Capitalism, American Style: What Are We Talking About Here?
Keywords: by Malcolm S. Salter
- Article
Caste and Entrepreneurship in India
By: Lakshmi Iyer, Tarun Khanna and Ashutosh Varshney
It is now widely accepted that the lower castes have risen in Indian politics. Has there been a corresponding change in the economy? Using comprehensive data on enterprise ownership from the Economic Censuses of 1990, 1998, and 2005, we document substantial caste... View Details
Iyer, Lakshmi, Tarun Khanna, and Ashutosh Varshney. "Caste and Entrepreneurship in India." Economic & Political Weekly 48, no. 6 (February 9, 2013): 52–60.
- 21 Sep 2010
- First Look
First Look: September 21, 2010
perspective, we observed a surprising level of consensus: all demographic groups—even those not usually associated with wealth redistribution such as Republicans and the wealthy—desired a more equal distribution of wealth than the status... View Details
Keywords: Sean Silverthorne
- 02 Jan 2024
- Research & Ideas
10 Trends to Watch in 2024
The lightning-fast ascent of generative AI isn’t the only sea change on the horizon for businesses in the new year. The global economy is in flux as war, climate change, trade issues, and infrastructure problems demand attention. Many companies continue to struggle to... View Details
Keywords: by Rachel Layne
- 17 Jul 2023
- Research & Ideas
Money Isn’t Everything: The Dos and Don’ts of Motivating Employees
meaningful to the culture, like employee of the month plaques or sales awards. Companies should think about who they want to attract and design non-monetary awards around that goal. For instance, companies with a training culture could offer View Details
Keywords: by Avery Forman
- June 2023
- Article
The Salary Taboo: Privacy Norms and the Diffusion of Information
By: Zoë Cullen and Ricardo Perez-Truglia
The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols
Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
- 31 Oct 2022
- Research & Ideas
Why the Largest Minority Group Faces the Most Hate—and How to Push Back
According to Tabellini, white people fear losing status and access to public resources or jobs, as has long been posited in sociology and psychology literature. “When the minority group becomes larger, the majority group feels more... View Details
Keywords: by Pamela Reynolds
- November 2022
- Teaching Note
Proximie: Using XR Technology to Create Borderless Operating Rooms
By: Ariel D. Stern, Alpana Thapar and Menna Hassan
Founded by Nadine Hachach-Haram in 2016, Proximie was a digital medicine platform that used mixed reality and a host of digital audio and visual tools to enable clinicians, proctors, and medical device company personnel to be virtually present in operating rooms (ORs),... View Details
- 2022
- Working Paper
Credit and the Family: The Economic Consequences of Closing the Credit Gap of U.S. Couples
By: Olivia S. Kim
Closing disparities in credit access between spouses can help reduce consumption inequality in the household. The 2013 reversal of the Truth-in-Lending Act increased the borrowing capacity of secondary earners in equitable-distribution states but not in... View Details
Keywords: Household; Credit; Equality and Inequality; Income; Policy; Family and Family Relationships
Kim, Olivia S. "Credit and the Family: The Economic Consequences of Closing the Credit Gap of U.S. Couples." Working Paper, December 2022.
- March–April 2021
- Article
Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others.
By: Gerald C. Kane and Lynn Wu
Organizations have long sought to improve employee performance by managing knowledge more effectively. In this paper, we test whether the adoption of digital tools for expertise search and access within an organization, often referred to as a support to an... View Details
Keywords: Digital Tools; Social Media; Social Networks; Transactive Memory Systems; Augmented Intelligence; Artificial Intelligence; Social and Collaborative Networks; Gender; Equality and Inequality; Technology Adoption; Knowledge Management; Performance Improvement; Power and Influence; Organizational Change and Adaptation
Kane, Gerald C., and Lynn Wu. "Network-biased Technical Change: How Information Management Tools Overcome Some Biases but Exacerbate Others." Organization Science 32, no. 2 (March–April 2021): 273–292.
- 12 Apr 2016
- First Look
April 12, 2016
By: Agrawal, Ajay, Christian Catalini, Avi Goldfarb, and Hong Luo Abstract—Traditional innovation models assume that new ideas are developed up to the point where the benefit of the marginal project is just equal to the cost. Because... View Details
Keywords: Sean Silverthorne