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(908)
- People (2)
- News (218)
- Research (462)
- Events (3)
- Multimedia (12)
- Faculty Publications (253)
Show Results For
- All HBS Web
(908)
- People (2)
- News (218)
- Research (462)
- Events (3)
- Multimedia (12)
- Faculty Publications (253)
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- 2009
- Working Paper
Dishonest Deed, Clear Conscience: Self-Preservation through Moral Disengagement and Motivated Forgetting
By: Lisa L. Shu, Francesca Gino and Max H. Bazerman
People routinely engage in dishonest acts without feeling guilty about their behavior. When and why does this occur? Across four studies, people justified their dishonest deeds through moral disengagement and exhibited motivated forgetting of information that might... View Details
Shu, Lisa L., Francesca Gino, and Max H. Bazerman. "Dishonest Deed, Clear Conscience: Self-Preservation through Moral Disengagement and Motivated Forgetting ." Harvard Business School Working Paper, No. 09-078, January 2009. (Revised April 2009.)
- 1998
- Article
Looking Inside the Fishbowl of Creativity: Verbal and Behavioral Predictors of Creative Performance
By: J. Ruscio, D. M. Whitney and T. M. Amabile
This study set out to identify specific task behaviors that predict observable product creativity in three domains and to identify which of those behaviors mediate the well-established link between intrinsic motivation and creativity. One-hundred fifty-one... View Details
Ruscio, J., D. M. Whitney, and T. M. Amabile. "Looking Inside the Fishbowl of Creativity: Verbal and Behavioral Predictors of Creative Performance." Creativity Research Journal 11, no. 3 (1998): 243–263.
- 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.)
- August 2024
- Case
Ashesi University: The Journey from Vision to Reality
By: Ranjay Gulati and Caroline de Lacvivier
In 1997, Patrick Awuah had a dream: to bring liberal arts education to Ghana. Amid the country’s declining economy and pervasive corruption problems, Awuah saw education as an opportunity to reverse its fortunes by investing in the next generation of African leaders.... View Details
Keywords: Developing Countries and Economies; Higher Education; Entrepreneurship; Leadership Development; Growth Management; Mission and Purpose; Private Ownership; Education Industry; Ghana
Gulati, Ranjay, and Caroline de Lacvivier. "Ashesi University: The Journey from Vision to Reality." Harvard Business School Case 425-032, August 2024.
- 22 Jan 2015
- News
Food Safety in Numbers
- February 2024 (Revised April 2024)
- Case
Uniswap: Fighting a Vampire Attack (A)
By: Shikhar Ghosh, Shweta Bagai and Liang Wu
This is the first of a three-case series that explores the challenges faced by Uniswap, a key player in the decentralized finance (DeFi) sector. Founded by Hayden Adams, the case traces Uniswap's rapid growth from a simple idea inspired by a Reddit post to becoming one... View Details
Keywords: Blockchain; Cryptocurrency; Crypto Economy; Community; Decentralization; Decentralized Exchange; Decentralized Finance; Open Platforms; Open-source Innovation; Market Distruption; Stablecoin; Vampire Attack; Web3; Token; Digital Platforms; Entrepreneurship; Governance; Technological Innovation; Competitive Strategy; Financial Liquidity; Financial Services Industry; Technology Industry; United States
Ghosh, Shikhar, Shweta Bagai, and Liang Wu. "Uniswap: Fighting a Vampire Attack (A)." Harvard Business School Case 824-162, February 2024. (Revised April 2024.)
- December 1996 (Revised June 1998)
- Case
Midnight Networks, Inc.
By: H. Kent Bowen and Marilyn Matis
Midnight Networks, Inc., is a small computer network validation company. This case describes how the five founders built their business from operations earnings and how they established "best practices" operational processes to run their firm successfully. Operational... View Details
Keywords: Corporate Entrepreneurship; Business or Company Management; Operations; Organizational Culture; Applications and Software; Business Startups; Business Growth and Maturation; Information Technology Industry; Massachusetts
Bowen, H. Kent, and Marilyn Matis. "Midnight Networks, Inc." Harvard Business School Case 697-019, December 1996. (Revised June 1998.)
- Teaching Interest
Data Science for Managers
- Served as a teaching fellow; assisted MBA students with classroom coding exercises.
- Developed course materials, including new case studies, technical notes, and code notebooks students used to analzye case data.
- Developed interactive web... View Details
- September 2025
- Article
Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India
By: Shawn Cole, Tomoko Harigaya, Grady Killeen and Aparna Krishna
This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
Keywords: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India
Cole, Shawn, Tomoko Harigaya, Grady Killeen, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Journal of Development Economics 176 (September 2025).
- 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.
- 2024
- Working Paper
The New Digital Divide
By: Mayana Pereira, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia and Juan Lavista Ferres
We build and analyze new metrics of digital usage that leverage telemetry data collected by Microsoft during operating system updates across forty million Windows devices in U.S. households. These measures of US household digital usage are much more comprehensive than... View Details
Keywords: Mathematical Methods; Measurement and Metrics; Geographic Location; Behavior; Technology Adoption; Demographics
Pereira, Mayana, Shane Greenstein, Raffaella Sadun, Prasanna Tambe, Lucia Ronchi Darre, Tammy Glazer, Allen Kim, Rahul Dodhia, and Juan Lavista Ferres. "The New Digital Divide." NBER Working Paper Series, No. 32932, September 2024.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- 2018
- Working Paper
Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
We demonstrate that data from digital platforms such as Yelp have the potential to improve our understanding of gentrification, both by providing data in close to real time (i.e., nowcasting and forecasting) and by providing additional context about how the local... View Details
Keywords: Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Measuring Gentrification: Using Yelp Data to Quantify Neighborhood Change." NBER Working Paper Series, No. 24952, August 2018.
- 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.)
- 28 Feb 2011
- Research & Ideas
The Importance of ‘Don’t’ in Inducing Ethical Employee Behavior
focusing on compliance: "Statement of Research Code of Conduct—This research project is being conducted with strict adherence to the standards and obligations required of applied social science." Again, the students who were... View Details
Keywords: by Carmen Nobel
The Transparency Paradox
2013 Winner of Academy of Management Awards for Outstanding Publication in Organizational Behavior and Best Published Paper in Organization and Management Theory
Using data from embedded participant-observers and a field experiment at the second... View Details
- August 2017
- Article
Effective Leadership of Surgical Teams: A Mixed Methods Study of Surgeon Behaviors and Functions
By: J. Stone, E. Aveling, M. Frean, M. Shields, C. Wright, F. Gino, T. Sundt and S.J. Singer
The importance of effective team leadership for achieving surgical excellence is widely accepted, but we understand less about the behaviors that achieve this goal. We studied cardiac surgical teams to identify leadership behaviors that best support surgical teamwork.... View Details
Stone, J., E. Aveling, M. Frean, M. Shields, C. Wright, F. Gino, T. Sundt, and S.J. Singer. "Effective Leadership of Surgical Teams: A Mixed Methods Study of Surgeon Behaviors and Functions." Annals of Thoracic Surgery 104, no. 2 (August 2017): 530–537.
- Web
Faculty & Research
codes and import origins, we construct custom price indices that isolate the direct effects of tariff changes across product categories and trading partners. Our analysis reveals rapid pricing responses, though their magnitude remains... View Details
- Research Summary
Managing sustainability in supply chains
I am examining codes of conduct, management process standards, and government voluntary programs that address environmental and labor issues, seeking to understand what enables some of these programs to actually deliver on their promise of distinguishing organizations... View Details