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(10,160)
- People (64)
- News (3,423)
- Research (4,039)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,453)
Show Results For
- All HBS Web
(10,160)
- People (64)
- News (3,423)
- Research (4,039)
- Events (30)
- Multimedia (61)
- Faculty Publications (1,453)
- Forthcoming
- Article
Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application
By: Flora Feng, Charis Li and Shunyuan Zhang
Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years, featuring unique offerings from individual providers. However, scalable quantification of visual uniqueness and their impacts on platforms like Airbnb remain largely unexplored. We address... View Details
Keywords: Peer-to-peer Markets
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." Journal of Consumer Research (forthcoming). (Pre-published online April 8, 2025.)
- 2007
- Working Paper
Acting Globally but Thinking Locally? The Influence of Local Communities on Organizations
By: Christopher Marquis and Julie Battilana
We develop an institutional theory of how local communities continue to matter for organizations, and why community factors are particularly important in a global age. Since globalization has taken center stage in both practitioner and academic circles, research has... View Details
Keywords: Geographic Location; Local Range; Globalization; Organizational Change and Adaptation; Business and Community Relations; Power and Influence
Marquis, Christopher, and Julie Battilana. "Acting Globally but Thinking Locally? The Influence of Local Communities on Organizations." Harvard Business School Working Paper, No. 08-034, November 2007.
- July 2008
- Exercise
Information Use by Managers in Decision Making: A Team Exercise
By: Amy C. Edmondson and Ann Cullen
The purpose of this exercise is to explore the challenges of information collection and analysis. Students will, experientially, gain insights into how information is used and be exposed to a framework for identifying and evaluating information. In addition, the... View Details
Keywords: Competency and Skills; Decision Making; Knowledge Use and Leverage; Managerial Roles; Business Processes; Groups and Teams
Edmondson, Amy C., and Ann Cullen. "Information Use by Managers in Decision Making: A Team Exercise." Harvard Business School Exercise 609-027, July 2008.
- Research Summary
Overview
I am interested in the individual experience of learning in organizational settings, particularly how employees learn to learn from the challenging work they do.
I am currently researching the role of reflection for raising awareness of learning opportunities that... View Details
- Article
Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina
By: Alberto Cavallo, Guillermo Cruces and Ricardo Perez-Truglia
When forming expectations, households may be influenced by perceived bias in the information they receive. In this paper, we study how individuals learn from potentially biased statistics using data from both a natural experiment and a survey experiment during a... View Details
Keywords: Inflation Expectations; Bayesian Estimation; Inflation and Deflation; Information; Household; Behavior; Argentina
Cavallo, Alberto, Guillermo Cruces, and Ricardo Perez-Truglia. "Learning from Potentially Biased Statistics: Household Inflation Perceptions and Expectations in Argentina." Brookings Papers on Economic Activity (Spring 2016): 59–108.
- Web
C. Roland Christensen - Christensen Center for Teaching & Learning
spanned half a century. At the time of his death in 1999, he was the Robert Walmsley University Professor, Emeritus, at Harvard. Beloved and revered by generations of HBS students, Christensen regarded himself first and foremost as a... View Details
- 16 Jun 2017
- News
Managing Student Personal Tech in the Case Classroom By Emma Simmons
- July 2024
- Article
Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings
By: Jason B. Liu, Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia and Andrea L. Pusic
This article describes the strategies that leaders at the Mass General Brigham (MGB) health system have used in launching a standardized patient-reported outcome measure (PROM) collection program in 2012, a major step in the value-based transformation of health care.... View Details
Keywords: Patient-reported Outcomes; Value Based Health Care; Health Care and Treatment; Transformation; Outcome or Result; Organizational Change and Adaptation; Performance Improvement; Health Industry
Liu, Jason B., Robert S. Kaplan, David W. Bates, Mario O. Edelen, Rachel C. Sisodia, and Andrea L. Pusic. "Mass General Brigham’s Patient-Reported Outcomes Measurement System: A Decade of Learnings." NEJM Catalyst Innovations in Care Delivery 5, no. 7 (July 2024).
- 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... View Details
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.
- 05 Jan 2014
- News
Managers learn to see the error of their ways
- 2021
- Chapter
Towards a Unified Framework for Fair and Stable Graph Representation Learning
By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
- 2024
- Working Paper
Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization
By: Ta-Wei Huang, Eva Ascarza and Ayelet Israeli
This paper introduces Incrementality Representation Learning (IRL), a novel multitask representation learning framework that predicts heterogeneous causal effects of marketing interventions. By leveraging past experiments, IRL efficiently designs and targets... View Details
Keywords: Heterogeneous Treatment Effect; Multi-task Learning; Representation Learning; Personalization; Promotion; Deep Learning; Field Experiments; Customer Focus and Relationships; Customization and Personalization
Huang, Ta-Wei, Eva Ascarza, and Ayelet Israeli. "Incrementality Representation Learning: Synergizing Past Experiments for Intervention Personalization." Harvard Business School Working Paper, No. 24-076, June 2024.
- 20 Jan 2012
- News
What Business Schools Can Learn from the Medical Profession
- August 2021
- Article
Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
- March 1, 2022
- Article
Widespread Use of National Academies Consensus Reports by the American Public
By: Diana Hicks, Matteo Zullo, Ameet Doshi and Omar Isaac Asensio
In seeking to understand how to protect the public information sphere from corruption, researchers understandably focus on dysfunction. However, parts of the public information ecosystem function very well, and understanding this as well will help in protecting and... View Details
Keywords: Reports; Surveys; AI and Machine Learning; Knowledge Dissemination; Knowledge Use and Leverage
Hicks, Diana, Matteo Zullo, Ameet Doshi, and Omar Isaac Asensio. "Widespread Use of National Academies Consensus Reports by the American Public." e2107760119. Proceedings of the National Academy of Sciences 119, no. 9 (March 1, 2022).
- 01 Jun 2004
- News
Teaching and Learning Center Established, Honors Christensen’s Legacy
will help strengthen the School’s long tradition of world-class teaching. The C. Roland Christensen Center for Teaching and Learning, scheduled to open this fall, will augment the already established HBS system of faculty-to-faculty mentoring View Details
- 2018
- Working Paper
Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning
By: Xiaojia Guo, Yael Grushka-Cockayne and Bert De Reyck
Problem definition: In collaboration with Heathrow Airport, we develop a predictive system that generates quantile forecasts of transfer passengers’ connection times. Sampling from the distribution of individual passengers’ connection times, the system also produces... View Details
Keywords: Quantile Forecasts; Regression Tree; Copula; Passenger Flow Management; Data-driven Operations; Forecasting and Prediction; Data and Data Sets
Guo, Xiaojia, Yael Grushka-Cockayne, and Bert De Reyck. "Forecasting Airport Transfer Passenger Flow Using Real-Time Data and Machine Learning." Harvard Business School Working Paper, No. 19-040, October 2018.
- January 2010
- Case
Pratham - Every Child in School and Learning Well
By: Srikant M. Datar, Stacey M. Childress, Rachna Tahilyani and Anjali Raina
The case focuses on how Pratham, a non-governmental organization, provided quality education to underprivileged children in India by collaborating with the government. It focuses on the problem Madhav Chavan, the founder, is trying to solve, the contributing factors... View Details
Keywords: Non-Governmental Organizations; Collaborative Innovation and Invention; Social and Collaborative Networks; Performance Evaluation; Change Management; Organizational Design; Early Childhood Education; Management Systems; Strategy; Quality; Education Industry; India
Datar, Srikant M., Stacey M. Childress, Rachna Tahilyani, and Anjali Raina. "Pratham - Every Child in School and Learning Well." Harvard Business School Case 110-001, January 2010.
- Web
Preview the Harvard Business School Online Learning Experience
E-Book Expand your knowledge by learning about the differences between finance and accounting and the skills all managers need. Download for Free Business Essentials E-Book Enhance your business knowledge to... View Details