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- Article
Pattern Detection in the Activation Space for Identifying Synthesized Content
By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...
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- 2021
- Article
Adaptive Machine Unlearning
By: Seth Neel
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...
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Keywords:
Machine Learning
- November 2021
- Article
The Comprehensive Effects of Sales Force Management: A Dynamic Structural Analysis of Selection, Compensation, and Training
By: Doug J. Chung, Byungyeon Kim and Byoung G. Park
This study provides a comprehensive model of an agent’s behavior in response to multiple sales management instruments, including compensation, recruiting/termination, and training. The model on agents’ behavior takes into account many of the key elements that...
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- Article
Business Investment in Education in Emerging Markets Since the 1960s
By: Valeria Giacomin, Geoffrey Jones and Erica Salvaj
This article examines non-profit investments by business in education in emerging markets between the 1960s and the present day. Using a sample of 110 interviews with business leaders from an oral history database, the study shows that more than three-quarters of such...
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- September 2021
- Article
Perceptions on Undertaking Regular Asymptomatic Self-testing for COVID-19 Using Lateral Flow Tests: A Qualitative Study of University Students and Staff
By: Marta Wanat, Mary Logan, Jennifer A. Hirst, Charles Vicary, Joseph J. Lee, Rafael Perera, Irene Tracey, Gordon Duff, Peter Tufano, Thomas Fanshawe, Lazaro Mwandigha, Brian D. Nicholson, Sarah Tonkin-Crine and Richard Hobbs
Objectives: Successful implementation of asymptomatic testing programmes using lateral flow tests (LFTs) depends on several factors, including feasibility, acceptability and how people act on test results. We aimed to examine experiences of university students...
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- Article
Unconscious Bias Training That Works
By: Francesca Gino and Katherine Coffman
To become more diverse, equitable, and inclusive, many companies have turned to unconscious bias (UB) training. By raising awareness of the mental shortcuts that lead to snap judgments—often based on race and gender—about people’s talents or character, it strives to...
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- August 2021
- Supplement
Dirk Nowitzki: Changing the Game
By: Boris Groysberg
NBA Superstar Dirk Nowitzki was unsure whether the 2018–2019 season would be his last as an NBA player. He had not faced such uncertainty since 1998, when he had navigated a difficult decision regarding the timing of his move to the NBA. He also did not know what he...
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- Summer 2021
- Article
The Origin and Development of Firm Management
This paper examines the historical origin and diffusion of management practices. Despite their centrality in the modern world, the concepts of ‘management’ developed fairly recently. Only with the Industrial Revolution, due to the increased firm size, owners needed a...
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- August 2021
- Article
The Undervalued Power of Self-relevant Research: The Case of Researching Retirement While Retiring
By: Teresa M. Amabile and Douglas T. (Tim) Hall
For decades, training in management research has emphasized objectivity, typically viewed as an arm’s length distance between the topic of the research and the interests of the researcher. This emphasis has led most scholars to avoid research topics of deep personal...
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- Article
On Her Own Account: How Strengthening Women's Financial Control Impacts Labor Supply and Gender Norms
By: Natalia Rigol, Simone Schaner, Rohini Pande, Erica Field and Charity Troyer Moore
Can increasing control over earnings incentivize a woman to work, and thereby influence norms around gender roles? We randomly varied whether rural Indian women received bank accounts, training in account use, and direct deposit of public sector wages into their own...
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- 2021
- Working Paper
Risk Sensitivity or Social Signaling? Unmasking Behaviors with Video Analytics
By: Shunyuan Zhang, Kaiquan Xu and Kannan Srinivasan
In 2020, as the novel coronavirus spread globally, face masks were recommended in public settings to protect against and slow down the spread of the coronavirus. Why did people comply, or not, while shopping in 2020? Do these motivations relate to their shopping...
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- June 2021
- Teaching Note
Michael Phelps: 'It's Okay to Not Be Okay'
By: Boris Groysberg, Carin-Isabel Knoop and Michael Norris
Teaching Note for HBS Case No. 421-044. In 2020, Michael Phelps, the most decorated Olympian of all time, with 28 medals in various swimming events, was now retired. As he looked back on his 20+ year athletic career, he considered what had gone into making him the...
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- June 2021 (Revised December 2021)
- Case
Suzhou Good-Ark Electronics: Creating and Implementing a Sage Culture
By: Sandra J. Sucher, Nien-he Hsieh, Susan J. Winterberg, Nancy Hua Dai and Shalene Gupta
Suzhou Good-Ark, a Chinese semiconductor implemented "Sage Culture" management based on traditional Chinese philosophy. Productivity doubled, turnover decreased, and employee satisfaction shot up. By 2015, more than 2,000 companies had toured Wu’s factories, and Wu had...
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- May 2021
- Teaching Note
From Globalization to Dual Digital Transformation: CEO Thierry Breton Leading Atos Into 'Digital Shockwaves'
By: Tsedal Neeley
Teaching Note for HBS Case Nos. 419-027 and 419-046. Thierry Breton, chairman and CEO of IT company Atos, faces a pivotal juncture. After spending eight intense years scaling the company globally to over 100,000 employees in 70 countries, he sees digital shockwaves...
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- May 19, 2021
- Article
Why America Needs a Better Bridge Between School and Career
By: Joseph B. Fuller and Rachel Lipson
As the COVID-19 pandemic wanes, America faces a critical opportunity to close gaps that leave many workers behind, say Joseph Fuller and Rachel Lipson. What will it take?
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Keywords:
Workforce;
Talent Management;
Education;
Employment;
Labor;
Training;
Talent and Talent Management
- May 2021
- Article
Choice Architecture in Physician–patient Communication: A Mixed-methods Assessments of Physicians’ Competency
By: J. Hart, Yadav, K., Szymanski, S., Summer, A., Tannenbaum, A., Zlatev, J., Daniels, D. and Halpern, S.D.
Background: Clinicians’ use of choice architecture, or how they present options, systematically influences the choices made by patients and their surrogate decision makers. However, clinicians may incompletely understand this influence....
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- May 2021
- Article
Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being
By: Lisa Rotenstein, Robert S. Huckman and Christine K. Cassel
The COVID-19 crisis has forced physicians to make daily decisions that require knowledge and skills they did not acquire as part of their biomedical training. Physicians are being called upon to be both managers—able to set processes and structures—and leaders—capable...
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- April 2021 (Revised April 2021)
- Teaching Plan
Nehemiah Mfg. Co.: Providing a Second Chance
By: Brian Trelstad and John Masko
Teaching Plan for HBS Case No. 320-008. In 2009, Dan Meyer and Richard Palmer, two veterans of the fast-moving consumer goods (FMCG) industry, founded Nehemiah Manufacturing to build FMCG brands while providing jobs to Cincinnati, Ohio’s beleaguered urban core. Two...
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- 2021
- White Paper
Working to Learn: Despite a Growing Set of Innovators, America Struggles to Connect Education and Career
By: Joseph B. Fuller, Rachel Lipson, Jorge Encinas, Tessa Forshaw, Alexis Gable and J.B. Schramm
In the wake of COVID-19 and growing inequality, America needs more pathways that bridge education and career. New research from the Project on Workforce at Harvard draws on data from New Profit's Postsecondary Initiative for Equity to identify opportunities for the...
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- February 2021
- Tutorial
Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and...
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