Publications

Educators

Knowledge management has been a high priority for Cognizant Technology Solutions since its inception since its global delivery model requires the global sharing of knowledge. Its first major tool was called the Knowledge Management Appliance but as Web 2.0 tools came... View Details

21 Jun 2016
News

Case Study: Should You Adjust Your Business Model for a Major Customer?

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

Keywords: Judgments; Learning; Business Processes; Organizational Culture; Failure; Performance Improvement; Opportunities; Complexity

27 Dec 2018
Working Paper Summaries

Team Learning Capabilities: A Meso Model of Sustained Innovation and Superior Firm Performance

Keywords: by Jean-François Harvey, Henrik Bresman, and Amy C. Edmondson

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

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

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

Read Now

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

Keywords: Identity; Diversity; Strategy; Jobs and Positions; Work-Life Balance

Read Now

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

Educators

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

29 Jun 2020
News

An operating model for the next normal: Lessons from agile organizations in the crisis

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

Keywords: Motivation and Incentives; Behavior; Moral Sensibility; Employees

29 Jan 2022
News

How Companies’ Business Models Put Workers in a ‘Low-Wage Trap’—and How to Break the Cycle

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

Keywords: Ethics; Employment; Corporate Social Responsibility and Impact; Technological Innovation; AI and Machine Learning; Diversity; Prejudice and Bias; Technology Industry

Video

2019 G&WS: Anyi Ma (Duke University) Presents Flash Talk: “The Means-Influence-Ability (MI, A) Model of Agency for Gender and Leadership”

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