Filter Results:
(3,488)
Show Results For
- All HBS Web
(3,488)
- People (18)
- News (937)
- Research (1,857)
- Events (16)
- Multimedia (22)
- Faculty Publications (652)
Show Results For
- All HBS Web
(3,488)
- People (18)
- News (937)
- Research (1,857)
- Events (16)
- Multimedia (22)
- Faculty Publications (652)
- 14 Sep 2023
- Research & Ideas
Working Moms Are Mostly Thriving Again. Can We Finally Achieve Gender Parity?
dynamics, tying back to McGinn’s prior research: Homebound parents modeled less gendered approaches to multitasking for their kids during lockdown, which their kids will hopefully retain in their own working... View Details
Keywords: by Kara Baskin
- 2011
- Working Paper
The Importance of Work Context in Organizational Learning from Error
By: Lucy H. MacPhail and Amy C. Edmondson
This paper examines the implications of work context for learning from errors in organizations. Prior research has shown that attitudes and behaviors related to error vary between groups within organizations but has not investigated or theorized the ways in which... View Details
- 25 Feb 2020
- News
Impact: The Changing Nature of Work
Advanced technologies, shifting demographics, and new business models are transforming the nature and scope of work globally. As a result, the skills leaders need—today and tomorrow—also must evolve. Since... View Details
- 27 Dec 2018
- Working Paper Summaries
Team Learning Capabilities: A Meso Model of Sustained Innovation and Superior Firm Performance
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- October 2013
- Article
Shattering the Myth of Separate Worlds: Negotiating Non-Work Identities at Work
By: Lakshmi Ramarajan and Erin M. Reid
How much of our self is defined by our work? Fundamental changes in the social organization of work are destabilizing the relationship between work and the self. As a result, parts of the self traditionally considered outside the domain of work, i.e., "non-work"... View Details
Ramarajan, Lakshmi, and Erin M. Reid. "Shattering the Myth of Separate Worlds: Negotiating Non-Work Identities at Work." Academy of Management Review 38, no. 4 (October 2013): 621–644.
- Article
Dismantling Knowledge Boundaries at NASA: The Critical Role of Professional Identity in Open Innovation
By: Hila Lifshitz - Assaf
Using a longitudinal in-depth field study at NASA, I investigate how the open, or peer-production, innovation model affects R&D professionals, their work, and the locus of innovation. R&D professionals are known for keeping their knowledge work within clearly defined... View Details
Keywords: Innovation; Knowledge Boundaries; Boundary Work; Professional Identity; Open Innovation; Identity Work; Technological Change; Nasa; Innovation and Invention; Knowledge; Science; Technology; Engineering; Change; Aerospace Industry; North and Central America
Lifshitz - Assaf, Hila. "Dismantling Knowledge Boundaries at NASA: The Critical Role of Professional Identity in Open Innovation." Administrative Science Quarterly 63, no. 4 (December 2018): 746–782.
- October 2023
- Teaching Note
Timnit Gebru: 'SILENCED No More' on AI Bias and The Harms of Large Language Models
By: Tsedal Neeley and Tim Englehart
Teaching Note for HBS Case No. 422-085. Dr. Timnit Gebru—a leading artificial intelligence (AI) computer scientist and co-lead of Google’s Ethical AI team—was messaging with one of her colleagues when she saw the words: “Did you resign?? Megan sent an email saying that... View Details
- Web
Media Coverage - Managing the Future of Work
Simkin 24 Sep 2024 Washington Post Live Top Experts on the Impact of AI on the Workforce, Education and the Economy Re: Raffaella Sadun 17 Sep 2024 HBS Working Knowledge Advice for the New CEO: Talk to Your Employees Early and Often Re:... View Details
- Web
About the Project - Managing the Future of Work
About the Project About the Project The nature of work is changing. As companies grapple with forces—such as rapid technological change, shifting global product and labor markets, evolving regulatory regimes, outsourcing, and the fast... View Details
- December 2023
- Article
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work
By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
- September 1997 (Revised May 1998)
- Case
Mitsubishi Motor Manufacturing of America: The Quest for a Model Workplace
By: Lynn S. Paine and Dale Coxe
This case details the sexual harassment case brought against Mitsubishi Motor Manufacturing of America by nearly 300 female employees in April 1996. The recommendations developed for the company by former U.S. Labor Secretary Lynn Marten are presented. In response to... View Details
Keywords: Ethics; Moral Sensibility; Groups and Teams; Organizational Culture; Organizational Change and Adaptation; Behavior; Attitudes; Problems and Challenges; Working Conditions; Crime and Corruption; Auto Industry; United States
Paine, Lynn S., and Dale Coxe. "Mitsubishi Motor Manufacturing of America: The Quest for a Model Workplace." Harvard Business School Case 398-028, September 1997. (Revised May 1998.)
- 15 Jun 2021
- News
Alumni Work to Reverse Bias Through Philanthropy
models in distinctive ways, the New Commonwealth Racial Equity and Social Justice Fund (NCF) and the Anti Racism Fund (ARF) are empowering changemakers within communities of color and forging community-business partnerships that support... View Details
Keywords: Deborah Blagg
- 17 Dec 2012
- Working Paper Summaries
An Outside-Inside Evolution in Gender and Professional Work
- January 2017 (Revised April 2017)
- Supplement
Bridj and the Business of Urban Mobility (B): A New Model in Kansas City
By: Rosabeth Moss Kanter and Jonathan Cohen
In late 2016, Bridj was expanding its digital platform to help address urban mobility problems faced by cities across the country and the world. Its founder and CEO, Matt George, weighed up several possible strategies for growth as he aimed to responsibly build the... View Details
Keywords: Mobility; Digital; Mobile App; Mobile; Data; Platform; Organization; Startup; Start-up Growth; Startup Management; Responsibility; Corporate Responsibility; Entrepreneurship; Information Technology; Transportation; Business and Stakeholder Relations; Growth and Development Strategy; Digital Platforms; Mobile and Wireless Technology; United States; District of Columbia; Massachusetts; Kansas; Mexico
Kanter, Rosabeth Moss, and Jonathan Cohen. "Bridj and the Business of Urban Mobility (B): A New Model in Kansas City." Harvard Business School Supplement 317-047, January 2017. (Revised April 2017.)
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless... View Details
Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.