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  • All HBS Web  (11,979)
    • People  (75)
    • News  (2,995)
    • Research  (3,829)
    • Events  (39)
    • Multimedia  (353)
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← Page 53 of 11,979 Results →
  • 13 May 2013
  • News

Education Without Limits

Keywords: onling learning; videos; tutorials; Khan Academy; Educational Services; Business Schools & Computer & Management Training; Educational Services; Educational Support Services; Educational Services; News, Library, Internet, and Other Services; Information
  • 1979
  • Chapter

Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error

By: A. Edmondson
Keywords: Learning; Perception; Attitudes; Groups and Teams; Organizational Culture; Power and Influence
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Edmondson, A. "Learning from Mistakes Is Easier Said than Done: Group and Organization Influences on the Detection and Correction of Human Error." In Organizational Psychology, edited by D. Kolb, I. Rubin, and J. McIntyre. Englewood Cliffs: Prentice Hall, 1979.
  • June 2022 (Revised January 2023)
  • Case

Buurtzorg

By: Ethan Bernstein, Tatiana Sandino, Joost Minnaar and Annelena Lobb
As co-founders of home nursing company Buurtzorg, Jos de Blok and Gonnie Kronenberg prized both self-management and organizational learning. Buurtzorg’s 10,000 nurses across 950 neighborhood nursing teams in the Netherlands were empowered to manage themselves, both in... View Details
Keywords: Healthcare; Best Practices; Best Practices Transfer; Flat Organization; Self-Managed Organizations; Self-Managed Teams; Organizational Learning; Knowledge Management; Learning; Management Practices and Processes; Human Resources; Communication; Organizational Structure; Organizational Design; Organizational Change and Adaptation; Groups and Teams; Networks; Health Industry; Netherlands; Europe
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Bernstein, Ethan, Tatiana Sandino, Joost Minnaar, and Annelena Lobb. "Buurtzorg." Harvard Business School Case 122-101, June 2022. (Revised January 2023.)
  • 2012
  • Working Paper

An Outside-Inside Evolution in Gender and Professional Work

By: Lakshmi Ramarajan, Kathleen McGinn and Deborah Kolb
We study the process by which a professional service firm reshaped its activities and beliefs over nearly two decades as it adapted to shifts in the social discourse regarding gender and work. Analyzing archival data from the firm over eighteen years and... View Details
Keywords: Professional Service Firms; Social Institutions; Organizational Learning; Organizational Change and Adaptation; Employment; Gender; Society; Service Industry
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Ramarajan, Lakshmi, Kathleen McGinn, and Deborah Kolb. "An Outside-Inside Evolution in Gender and Professional Work." Harvard Business School Working Paper, No. 13-051, November 2012. (Work in progress for requested submission, Research in Organizational Behavior.)
  • 2021
  • Working Paper

Invisible Primes: Fintech Lending with Alternative Data

By: Marco Di Maggio, Dimuthu Ratnadiwakara and Don Carmichael
We exploit anonymized administrative data provided by a major fintech platform to investigate whether using alternative data to assess borrowers’ creditworthiness results in broader credit access. Comparing actual outcomes of the fintech platform’s model to... View Details
Keywords: Fintech Lending; Alternative Data; Machine Learning; Algorithm Bias; Finance; Information Technology; Financing and Loans; Analytics and Data Science; Credit
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Di Maggio, Marco, Dimuthu Ratnadiwakara, and Don Carmichael. "Invisible Primes: Fintech Lending with Alternative Data." Harvard Business School Working Paper, No. 22-024, October 2021.
  • July 2023
  • Article

Managerial Quality and Productivity Dynamics

By: Achyuta Adhvaryu, Anant Nyshadham and Jorge Tamayo
Do productivity and managerial quality vary within the firm? If so which managerial traits and practices matter most for team productivity? Combining granular garment production data with survey data on managers across 120 production lines in India, we document... View Details
Keywords: Productivity; Non-cognitive Skills; Learning By Doing; Ready-made Garments; Management; Management Practices and Processes; Management Skills; Performance Productivity; Fashion Industry; Manufacturing Industry; India
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Adhvaryu, Achyuta, Anant Nyshadham, and Jorge Tamayo. "Managerial Quality and Productivity Dynamics." Review of Economic Studies 90, no. 4 (July 2023): 1569–1607.
  • June 2016 (Revised August 2019)
  • Case

Numenta: Inventing and (or) Commercializing AI

By: David B. Yoffie, Liz Kind and David Ben Shimol
In March 2016, Donna Dubinsky (co-founder and CEO) and Jeff Hawkins (co-founder) were struggling with a key question: Could Numenta be successful in both creating fundamental technology and building a commercial business? Located in Redwood City, CA, Numenta was... View Details
Keywords: Artificial Intelligence; Machine Intelligence; Machine Learning; Strategy; Business Model; Entrepreneurship; Information; Technological Innovation; Research; Research and Development; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Commercialization; AI and Machine Learning
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Yoffie, David B., Liz Kind, and David Ben Shimol. "Numenta: Inventing and (or) Commercializing AI." Harvard Business School Case 716-469, June 2016. (Revised August 2019.)
  • 10 Dec 2020
  • Podcast

67. Long Life Learning and Preparing for Jobs That Don’t Even Exist Yet: A Conversation with Michelle R. Weise, PhD

Michelle Weise is an expert in higher education and in the development of more innovative workforce and talent pipelines. A former Senior Research Fellow in Higher Education at The Christensen Institute, she joined us on The Disruptive Voice to reflect on her career... View Details
  • Article

Algorithms Need Managers, Too

By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan
Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details
Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science
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Luca, Michael, Jon Kleinberg, and Sendhil Mullainathan. "Algorithms Need Managers, Too." Harvard Business Review 94, nos. 1/2 (January–February 2016): 96–101.
  • 29 Oct 2018
  • News

Alex Cora, Terry Francona, and John Farrell all won titles in their first year. What lessons can we learn from that?

  • August 2025
  • Case

Meta and the Superintelligence Talent Race

By: Boris Groysberg and Sarah L. Abbott
In June 2025, Meta CEO Mark Zuckerberg upped the ante in the ongoing AI talent wars. Some analysts praised Zuckerberg’s aggressive approach to building Meta's AI capabilities, while others pointed to the high costs this strategy entailed and questioned how effectively... View Details
Keywords: AI; Artificial Intelligence; Machine Learning; Talent Acquisition; Hiring; Technology; Metaverse; Competition; Compensation; Innovation; Talent Development; Competing To Win; Competitive Dynamics; AI and Machine Learning; Talent and Talent Management; Recruitment; Compensation and Benefits; Competency and Skills; Competitive Strategy; Technological Innovation; Technology Industry
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Groysberg, Boris, and Sarah L. Abbott. "Meta and the Superintelligence Talent Race." Harvard Business School Case 426-003, August 2025.
  • 2021
  • Working Paper

Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States

By: Clare Halloran, Rebecca Jack, James C. Okun and Emily Oster
We estimate the impact of district-level schooling mode (in-person versus hybrid or distance learning) on test scores. We combine Spring 2021 state standardized test score data with comprehensive data on schooling in the 2020-21 school year across 12 states. We find... View Details
Keywords: COVID-19 Pandemic; In-person Schooling; Distance Learning; Outcomes Measurement; Health Pandemics; Education; Performance Evaluation
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Halloran, Clare, Rebecca Jack, James C. Okun, and Emily Oster. "Pandemic Schooling Mode and Student Test Scores: Evidence from U.S. States." NBER Working Paper Series, No. 29497, November 2021.
  • February 2018
  • Article

Retention Futility: Targeting High-Risk Customers Might Be Ineffective.

By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
  • July 2006
  • Article

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat
This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details
Keywords: Open Source Software; Demand-side Learning; Network Effects; Linux; Mixed Duopoly; Competitive Dynamics; Business Models; Duopoly and Oligopoly; Information Technology; Applications and Software; Business Model; Mathematical Methods; Digital Platforms; Profit; Balance and Stability; Management Analysis, Tools, and Techniques; SWOT Analysis; Competition; Price; Information Technology Industry
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Casadesus-Masanell, Ramon, and Pankaj Ghemawat. "Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows." Management Science 52, no. 7 (July 2006): 1072–1084.
  • May 2012
  • Supplement

Columbia's Final Mission (Abridged) (B)

By: Amy C. Edmondson and Kerry Herman
Keywords: Cognitive Biases; Teams; Organizational Learning; Ambiguous Threat; Risk and Uncertainty; Organizational Change and Adaptation; Leadership; Corporate Disclosure; Groups and Teams; Decision Making; Organizational Culture; Public Administration Industry; Aerospace Industry
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Edmondson, Amy C., and Kerry Herman. "Columbia's Final Mission (Abridged) (B) ." Harvard Business School Supplement 612-096, May 2012.
  • March 2017
  • Exercise

Designing Transformational Customer Experiences

By: Stefan Thomke
Anyone who has recently travelled, gone shopping, or tried to have a problem solved may have little recollection of the experience. Worse yet, some are frustrated by the lack of responsiveness or empathy that they encountered. The reality is that most customer... View Details
Keywords: Customer Experience; Exercise; Learning By Doing; LEGO; Storytelling; Customer Satisfaction; Design; Innovation and Management; Transformation; Service Delivery
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Thomke, Stefan. "Designing Transformational Customer Experiences." Harvard Business School Exercise 617-051, March 2017.
  • May 2022 (Revised July 2022)
  • Case

The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

By: David B. Yoffie and Daniel Fisher
In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest... View Details
Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Market Share; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; AI and Machine Learning; Technology Industry; United States
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Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022. (Revised July 2022.)
  • July 2019
  • Teaching Note

Miroglio Fashion

By: Sunil Gupta
Teaching Note for HBS Nos. 519-053, 519-070, and 519-072. View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; Marketing; AI and Machine Learning; Apparel and Accessories Industry; Fashion Industry
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Gupta, Sunil. "Miroglio Fashion." Harvard Business School Teaching Note 520-007, July 2019.
  • 2020
  • Article

A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?

By: Doug J. Chung, Byungyeon Kim and Niladri B. Syam
Personal selling represents one of the most important elements in the marketing mix, and appropriate management of the sales force is vital to achieving the organization’s objectives. Among the various instruments of sales management, compensation plays a pivotal role... View Details
Keywords: Sales Compensation; Sales Management; Sales Strategy; Principal-agent Theory; Structural Econometrics; Field Experiments; Machine Learning; Artificial Intelligence; Salesforce Management; Compensation and Benefits; Motivation and Incentives; AI and Machine Learning
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Chung, Doug J., Byungyeon Kim, and Niladri B. Syam. "A Practical Approach to Sales Compensation: What Do We Know Now? What Should We Know in the Future?" Foundations and Trends® in Marketing 14, no. 1 (2020): 1–52.
  • 2023
  • Working Paper

Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency

By: Gunther Glenk, Philip Holler and Stefan Reichelstein
Widespread adoption of hydrogen as an energy carrier is widely believed to require continued advances in Power-to-Gas (PtG) technologies. Here we provide a comprehensive assessment of the dynamics of system prices and conversion efficiency for three currently prevalent... View Details
Keywords: Clean Tech; Decarbonization; Carbon Emissions; Learning By Doing; Environment; Energy; Environmental Management; Sustainable Cities; Price; Energy Industry; Utilities Industry; Industrial Products Industry; Manufacturing Industry; Transportation Industry; Europe; North America; South America; Africa; Asia
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Glenk, Gunther, Philip Holler, and Stefan Reichelstein. "Advances in Power-to-Gas Technologies: Cost and Conversion Efficiency." TRR 266 Accounting for Transparency Working Paper Series, No. 109, December 2022.
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