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Show Results For
- All HBS Web
(12,694)
- People (75)
- News (2,979)
- Research (3,769)
- Events (39)
- Multimedia (347)
- Faculty Publications (2,455)
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- Article
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
Keywords: CEOs; Communication Style; Machine Learning; Spoken Communication; Nonverbal Communication; Personal Characteristics; Analysis; Performance
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Strategic Management Journal 40, no. 11 (November 2019): 1705–1732.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- Article
Learning by Thinking: The Role of Reflection in Individual Learning
By: Giada Di Stefano, Francesca Gino, Gary P. Pisano and Bradley R. Staats
It is common wisdom that practice makes perfect. And, in fact, we find evidence that when given a choice between practicing a task and reflecting on their previously accumulated practice, most people opt for the former. We argue in this paper that this preference is... View Details
- September 2011 (Revised December 2014)
- Background Note
Learning to Negotiate
By: Michael Wheeler
This brief note introduces to the student the challenges and rewards of learning to be a more skilled negotiator. Negotiation requires the integration of keen analytic insight with emotional intelligence capabilities. View Details
Wheeler, Michael. "Learning to Negotiate." Harvard Business School Background Note 912-004, September 2011. (Revised December 2014.)
- May 2012 (Revised February 2014)
- Teaching Note
Learning About Reducing Hospital Mortality at Kaiser Permanente
By: Anita Carson Tucker
- March 2017 (Revised November 2018)
- Case
BYJU'S The Learning App
By: John Jong-Hyun Kim and Rachna Tahilyani
BYJU’S The Learning App (BYJU’s) is India’s largest K-12 education app with about 300,000 annual paid subscribers. The mobile app uses a mix of video lessons and interactive tools to personalize learning for every student. Although there is room to grow exponentially... View Details
Keywords: Education; Mobile and Wireless Technology; Growth and Development Strategy; Learning; Customization and Personalization; Education Industry; India; United States
Kim, John Jong-Hyun, and Rachna Tahilyani. "BYJU'S The Learning App." Harvard Business School Case 317-048, March 2017. (Revised November 2018.)
- 1998
- Article
From Organizational Learning to the Learning Organization
By: A. Edmondson and B. Moingeon
Edmondson, A., and B. Moingeon. "From Organizational Learning to the Learning Organization." Management Learning 29, no. 1 (1998): 5–20.
- January 1982
- Background Note
Learning Curve
Sandretto, Michael J. "Learning Curve." Harvard Business School Background Note 182-130, January 1982.
- March 1991
- Article
Behind the Learning Curve: The Learning Process
By: P S Adler and K. B. Clark
Keywords: Learning
Adler, P. S., and K. B. Clark. "Behind the Learning Curve: The Learning Process." Management Science 37, no. 3 (March 1991): 267–281.
- June 2012
- Article
The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control
Using data from embedded participant-observers and a field experiment at the second largest mobile phone factory in the world, located in China, I theorize and test the implications of transparent organizational design on workers' productivity and organizational... View Details
Keywords: Transparency; Privacy; Organizational Learning; Operational Control; Organizational Performance; Chinese Manufacturing; Field Experiment; Rights; Interpersonal Communication; Management Practices and Processes; Ethics; Corporate Disclosure; Performance Productivity; Boundaries; Organizations; Social and Collaborative Networks; Labor and Management Relations; Power and Influence; Manufacturing Industry; China
Bernstein, Ethan S. "The Transparency Paradox: A Role for Privacy in Organizational Learning and Operational Control." Administrative Science Quarterly 57, no. 2 (June 2012): 181–216.
- March 2008
- Article
Is Yours a Learning Organization?
By: David A. Garvin, Amy C. Edmondson and Francesca Gino
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading. An organization with a strong learning culture faces the unpredictable deftly.... View Details
Keywords: Interpersonal Communication; Learning; Surveys; Leading Change; Management Analysis, Tools, and Techniques; Organizational Culture
Garvin, David A., Amy C. Edmondson, and Francesca Gino. "Is Yours a Learning Organization?" Harvard Business Review 86, no. 3 (March 2008): 109–116.
- July 2001 (Revised February 2002)
- Case
Enspire Learning
An MBA student founds an e-education business and must decide which customers to target and which products/services to produce. View Details
Keywords: Customer Relationship Management; Internet and the Web; Service Delivery; Education; Business Startups; Planning; Web Services Industry; Education Industry
Hallowell, Roger H., Frank J Andrasco, Hans ten Cate, and Bjorn Billhardt. "Enspire Learning." Harvard Business School Case 802-001, July 2001. (Revised February 2002.)
- November 2023 (Revised April 2024)
- Case
Khanmigo: Revolutionizing Learning with GenAI
By: William A. Sahlman, Allison M. Ciechanover and Emily Grandjean
Already a leader in the edtech space since its 2008 launch, Khan Academy was now one of the first edtech organizations to embrace generative artificial intelligence ("genAI"). In March 2023, Khan Academy began beta testing Khanmigo, a genAI “guide” and tutor built with... View Details
Keywords: Technology Adoption; Leading Change; Entrepreneurship; Risk and Uncertainty; Education; AI and Machine Learning; Corporate Social Responsibility and Impact; Education Industry; Technology Industry; United States; San Francisco
Sahlman, William A., Allison M. Ciechanover, and Emily Grandjean. "Khanmigo: Revolutionizing Learning with GenAI." Harvard Business School Case 824-059, November 2023. (Revised April 2024.)
- Article
Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs
By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the... View Details
Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
- Research Summary
Front-Line Organizational Learning
Dr. Tucker uses operations management and organizational learning theory to understand and improve front-line work processes. Specifically, she examines the conditions under which the problem solving routines of front-line workers are likely to result in positive... View Details
- April 2011
- Article
Strategies for Learning from Failure
By: Amy C. Edmondson
Many executives believe that all failure is bad (although it usually provides lessons)--and that learning from it is pretty straightforward. The author, a professor at Harvard Business School, thinks both beliefs are misguided. In organizational life, she says, some... View Details
Keywords: Learning; Knowledge Use and Leverage; Leadership; Business Processes; Organizational Culture; Failure; Opportunities
Edmondson, Amy C. "Strategies for Learning from Failure." Harvard Business Review 89, no. 4 (April 2011).
- 1997
- Working Paper
From Organizational Learning to the Learning Organization
By: Amy C. Edmondson and Bertrand Moingeon
- Research Summary
Selective Attention and Learning
What do we notice, and how does this affect what we learn? Standard economic models of learning ignore memory by assuming that we remember everything. But there is growing recognition that memory is imperfect. Further, memory imperfections do not stem from limited... View Details
- 2020
- Working Paper
Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the... View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction; Analytics and Data Science
Datar, Srikant, Apurv Jain, Charles C.Y. Wang, and Siyu Zhang. "Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective." Harvard Business School Working Paper, No. 21-113, December 2020.