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All HBS Web
(1,935)
- People (2)
- News (200)
- Research (1,355)
- Events (14)
- Multimedia (14)
- Faculty Publications (894)
- 2019
- Working Paper
The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as...
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Keywords:
Open Source;
Future Of Work;
Software Development;
Knowledge Work;
Online Community;
Learning;
Knowledge Sharing;
Applications and Software;
Open Source Distribution;
Performance Productivity
Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
- 07 Mar 2019
- HBS Seminar
Petra Moser, NYU Stern School of Business
- 05 Dec 2024
- HBS Seminar
Amanda Sharkey, Mendoza College of Business
- January 2018 (Revised August 2020)
- Background Note
Continuous Software Development: Agile's Successor
By: Jeffrey J. Bussgang, Samuel Clemens and Olivia Hull
In recent years, the twin software development methodologies of continuous delivery and continuous deployment have risen to prominence in the start-up world and beyond. These methods have enabled technology companies large and small to accelerate their product...
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Keywords:
Continuous Improvement;
Continuous Development;
Continuous Delivery;
Continuous Integration;
Product Development Processes;
Computer Programming;
Agile;
Waterfall;
Software Applications;
Software Engineering;
Applications and Software;
Information Technology;
Technological Innovation;
Product Development;
Customer Focus and Relationships;
Entrepreneurship;
Organizational Change and Adaptation;
Organizational Structure;
Quality;
Product Marketing;
Product;
Infrastructure;
Information Infrastructure;
Computer Industry;
Technology Industry;
Information Technology Industry;
Web Services Industry;
Massachusetts;
Boston
Bussgang, Jeffrey J., Samuel Clemens, and Olivia Hull. "Continuous Software Development: Agile's Successor." Harvard Business School Background Note 818-055, January 2018. (Revised August 2020.)
- 2008
- Chapter
Allocating Marketing Resources
By: Sunil Gupta and Thomas J. Steenburgh
Companies spend billions of dollars on marketing every year because it is essential to organic growth. Given these large investments, marketing managers have the responsibility to optimally allocate resources and to demonstrate that their investments generate... View Details
Keywords:
Investment Return;
Resource Allocation;
Marketing;
Demand and Consumers;
Mathematical Methods
Gupta, Sunil, and Thomas J. Steenburgh. "Allocating Marketing Resources." In Marketing Mix Decisions: New Perspectives and Practices, edited by Roger A. Kerin and Rob O'Regan. Chicago, IL: American Marketing Association, 2008.
- 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...
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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.
- September 2022
- Article
In Search of Scholarly Impact
By: Usha C.V Haley, Cary L. Cooper, Andrew J. Hoffman, Tyrone S. Pitsis and Danna Greenberg
This is an introduction to a special issue on the importance and the methods of scholarly impact in real world issues.
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Haley, Usha C.V, Cary L. Cooper, Andrew J. Hoffman, Tyrone S. Pitsis, and Danna Greenberg. "In Search of Scholarly Impact." Academy of Management Learning & Education 21, no. 3 (September 2022): 343–349.
- 2008
- Working Paper
Allocating Marketing Resources
By: Sunil Gupta and Thomas J. Steenburgh
Marketing is essential for the organic growth of a company. Not surprisingly, firms spend billions of dollars on marketing. Given these large investments, marketing managers have the responsibility to optimally allocate these resources and demonstrate that these...
View Details
Keywords:
Investment Return;
Resource Allocation;
Marketing;
Demand and Consumers;
Mathematical Methods
Gupta, Sunil, and Thomas J. Steenburgh. "Allocating Marketing Resources." Harvard Business School Working Paper, No. 08-069, February 2008.
- September 2023
- Module Note
Live Case Exercise for Financial Reporting
By: Tatiana Sandino and Marshal Herrmann
Harvard Business School employs the case method as a cornerstone of its pedagogy, providing students with opportunities to engage in discussions related to difficult or contentious decisions confronted by real-world organizations. In this “live case,” we depart from...
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- 2010 - 2010
- Conference Presentation
Teams at the Top: Revisiting the Structure and Effects of Strategic Work in Top Management
By: James R. Dillon
This paper examines the usage and effects of small work groups by top management in the course of guiding an organization's strategy process. Reviewing evidence from research literatures on strategy process, strategic leadership, and small groups, I propose that a...
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James E. Austin
Dr. Austin holds the Eliot I. Snider and Family Professor of Business Administration, Emeritus at the Harvard Business School. Previously he held the John G. McLean Professorship and the Richard P. Chapman Professorship. He has been a member of the Harvard... View Details
Keywords:
agribusiness
- August 2023
- Article
Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel
By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use...
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
- 13 Apr 2012
- HBS Seminar
Drazen Prelec, Professor of Management Science and Economics at MIT Sloan School of Management
- 2019
- Working Paper
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
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)
- March 2022
- Article
Sensitivity Analysis of Agent-based Models: A New Protocol
By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such...
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Keywords:
Agent-based Modeling;
Sensitivity Analysis;
Design Of Experiments;
Total Order Sensitivity Indices;
Organizations;
Behavior;
Decision Making;
Mathematical Methods
Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
- 05 Jul 2006
- Working Paper Summaries
Measuring Consumer and Competitive Impact with Elasticity Decompositions
Jenny Wang
Jenny Shan Wang is a doctoral student in the Technology and Operations Management program at Harvard Business School (HBS). She is broadly interested in interpretable machine learning (ML), identity and inequality, and improving existing methods...
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- January 22, 2020
- Article
Making Honest Conversations the Norm
By: Michael Beer
Much admired companies like Boeing and Wells Fargo sacrifice their competitive advantage. Some make huge ethical blunders. As a result, shareholders suffer huge losses in value while employees, customers, and society lose trust and confidence in the institution. Based...
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Keywords:
Honesty;
Interpersonal Communication;
Framework;
Organizational Culture;
Trust;
Performance Effectiveness
Beer, Michael. "Making Honest Conversations the Norm." ChangeThis (blog) (January 22, 2020).
- 11 May 2018
- News
Online Ad Targeting Does Work—As Long As It's Not Creepy
- November 2021
- Article
Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data
By: William Herlands, Edward McFowland III, Andrew Gordon Wilson and Daniel B. Neill
Identifying anomalous patterns in real-world data is essential for understanding where, when, and how systems deviate from their expected dynamics. Yet methods that separately consider the anomalousness of each individual data point have low detection power for subtle,...
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Herlands, William, Edward McFowland III, Andrew Gordon Wilson, and Daniel B. Neill. "Gaussian Process Subset Scanning for Anomalous Pattern Detection in Non-iid Data." Proceedings of Machine Learning Research (PMLR) 84 (2018): 425–434. (Also presented at the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 2018.)