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  • All HBS Web  (915)
    • People  (2)
    • News  (218)
    • Research  (466)
    • Events  (3)
    • Multimedia  (12)
  • Faculty Publications  (254)

Show Results For

  • All HBS Web  (915)
    • People  (2)
    • News  (218)
    • Research  (466)
    • Events  (3)
    • Multimedia  (12)
  • Faculty Publications  (254)
← Page 13 of 915 Results →

    George Serafeim

    George Serafeim is the Charles M. Williams Professor of Business Administration at Harvard Business School. He co-leads a Lab, within Harvard's Digital, Data, Design Institute, and serves on the faculty steering commitee of Harvard University's Salata Institute. He... View Details

    Keywords: asset management; insurance industry; automobiles; industrial goods; fashion; food; green technology
    • 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
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    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
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    Bowen, H. Kent, and Marilyn Matis. "Midnight Networks, Inc." Harvard Business School Case 697-019, December 1996. (Revised June 1998.)
    • TeachingInterests

    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
    • February 2024 (Revised April 2024)
    • Supplement

    Uniswap: Fighting a Vampire Attack (C)

    By: Shikhar Ghosh, Shweta Bagai and Liang Wu
    This is the third 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
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    Ghosh, Shikhar, Shweta Bagai, and Liang Wu. "Uniswap: Fighting a Vampire Attack (C)." Harvard Business School Supplement 824-164, February 2024. (Revised April 2024.)
    • 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
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    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
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    Gulati, Ranjay, and Caroline de Lacvivier. "Ashesi University: The Journey from Vision to Reality." Harvard Business School Case 425-032, August 2024.
    • 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
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    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).
    • 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
    Keywords: Ethics; Moral Sensibility; Governing Rules, Regulations, and Reforms; Behavior
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    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
    Keywords: Creativity; Cognition and Thinking; Behavior
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    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.
    • February 2024 (Revised April 2024)
    • Supplement

    Uniswap: Fighting a Vampire Attack (B)

    By: Shikhar Ghosh, Shweta Bagai and Liang Wu
    This is the second 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... View Details
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    Ghosh, Shikhar, Shweta Bagai, and Liang Wu. "Uniswap: Fighting a Vampire Attack (B)." Harvard Business School Supplement 824-163, February 2024. (Revised April 2024.)
    • 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
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    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
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    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
    Citation
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    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
    Keywords: Spoken Communication; Business History; Analytics and Data Science; Finance; Performance
    Citation
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    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.)
    • Web

    Faculty & Research

    consumer prices using a unique integration of high-frequency retail pricing data, product-level country-of-origin information, and detailed tariff classifications. By linking daily prices from major U.S. retailers to Harmonized System (HS) View Details
    • 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
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    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.
    • 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
    • Research Summary

    Managing sustainability in supply chains

    By: Michael W. Toffel
    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
    Keywords: Environment; Environmental Performance; Environmental Regulation; Environmental Strategy; Regulation; Supply Chain; Supply Chain Management; Manufacturing Industry; Auto Industry; Service Industry; Construction Industry; United States; California
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