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(1,470)
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Show Results For
- All HBS Web
(1,470)
- News (191)
- Research (1,049)
- Events (20)
- Multimedia (7)
- Faculty Publications (649)
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
- August 2021
- Article
Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap
By: Abhishek Nagaraj
The wild success of a few online communities (like Wikipedia) has obscured the fact that most attempts at forming such communities fail. This study evaluates information seeding, an early-stage intervention to bootstrap online communities that enables contributors to... View Details
Keywords: Online Communities; Knowledge Production; Crowdsourcing; Innovation; Digitization; Internet and the Web; Digital Platforms; Social and Collaborative Networks; Analytics and Data Science; Knowledge Dissemination
Nagaraj, Abhishek. "Information Seeding and Knowledge Production in Online Communities: Evidence from OpenStreetMap." Management Science 67, no. 8 (August 2021).
- August 1991 (Revised March 1993)
- Case
Champion International Corp.: Timber, Trade, and the Northern Spotted Owl
Champion's forest products division owns timberlands, sawmills, and plywood mills in the Pacific Northwest. The listing of the northern spotted owl as an endangered species, and restrictions on exports of logs from state-owned lands, have disrupted the stumpage, log... View Details
Keywords: Science-Based Business; Natural Environment; Product Marketing; Governing Rules, Regulations, and Reforms; Government and Politics; Environmental Sustainability; Corporate Strategy; Trade; Decisions; Management Teams; Forest Products Industry; North and Central America
Reinhardt, Forest L. "Champion International Corp.: Timber, Trade, and the Northern Spotted Owl." Harvard Business School Case 792-017, August 1991. (Revised March 1993.)
- 14 Jan 2008
- Research & Ideas
Mapping Polluters, Encouraging Protectors
and interpreting data about industrial environment performance because it brings together information about companies' environmental management, provided voluntarily by managers in real time, with companies' pollution View Details
- 03 Apr 2025
- HBS Seminar
Ziad Obermeyer, UC Berkeley School of Public Health
- 14 Jul 2009
- First Look
First Look: July 14
http://www.hbs.edu/research/pdf/09-148.pdf PublicationsOpen to Negotiation: Phenomenological Assumptions and Knowledge Dissemination Authors:Corinne Bendersky and Kathleen L. McGinn Publication:Organization Science (forthcoming)... View Details
Keywords: Martha Lagace
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical... View Details
Keywords: Metrics; Influence; Status; Citations; Science; Measurement and Metrics; Research; Perception
Teplitskiy, Misha, Eamon Duede, Michael Menietti, and Karim R. Lakhani. "How Status of Research Papers Affects the Way They Are Read and Cited." Research Policy 51, no. 4 (May 2022).
- 12 Mar 2024
- HBS Case
How Used Products Can Unlock New Markets: Lessons from Apple's Refurbished iPhones
Some of Apple’s most loyal customers think nothing of upgrading to the latest iPhone every time one comes out. But what about consumers who can’t splurge on a $1,000 iPhone 15 Pro? And what about the electronic waste that would accrue if people threw away functional... View Details
- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
classrooms, labs, dining halls, and elsewhere on campuses have a unique influence on the course of scientific research, according to the study, coauthored by Eamon Duede, a postdoctoral fellow at the Digital Data Design Institute at... View Details
Keywords: by Ben Rand
- 2012
- Working Paper
Rainmakers: Why Bad Weather Means Good Productivity
By: Jooa Julia Lee, Francesca Gino and Bradley R. Staats
People believe that weather conditions influence their everyday work life, but to date, little is known about how weather affects individual productivity. Most people believe that bad weather conditions reduce productivity. In this research, we predict and find just... View Details
Keywords: Productivity; Opportunity Cost; Distractions; Weather; Performance Productivity; Social Psychology; Mathematical Methods
Lee, Jooa Julia, Francesca Gino, and Bradley R. Staats. "Rainmakers: Why Bad Weather Means Good Productivity." Harvard Business School Working Paper, No. 13-005, July 2012.
- February 2024
- Teaching Note
AB InBev: Brewing Up Forecasts during COVID-19
By: Mark Egan and C. Fritz Foley
Teaching Note for HBS Case No. 224-020. In July 2021, the CEO of AB InBev's European operations and his team strategized to position the company for success post-pandemic. As the world's largest beer company, boasting over 500 brands, revenue of $46 billion, and a... View Details
- Web
Clusters - Institute For Strategy And Competitiveness
Cluster Mapping Project The U.S. Cluster Mapping Project provides policy makers, economic development practitioners, and researchers with powerful data and tools to understand clusters and locate cluster initiatives and potential partners... View Details
- June 2010
- Article
What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns
By: Glenn Ellison, Edward Glaeser and William R. Kerr
Why do firms cluster near one another? We test Marshall's theories of industrial agglomeration by examining which industries locate near one another, or coagglomerate. We construct pairwise coagglomeration indices for US manufacturing industries from the Economic... View Details
Keywords: Production; Economics; Industry Clusters; Analytics and Data Science; Labor; Theory; Goods and Commodities; United States; United Kingdom
Ellison, Glenn, Edward Glaeser, and William R. Kerr. "What Causes Industry Agglomeration? Evidence from Coagglomeration Patterns." American Economic Review 100, no. 3 (June 2010): 1195–1213.
- Web
Podcast - Business & Environment
Vytal’s “borrow and return” model changes consumer behavior, and how data, technology and behavioral science underpin their service design. Fabian also discusses the evolving regulatory landscape, including Germany’s reuse mandates and... View Details
- February 2021
- Technical Note
Probability Distributions
By: Michael Parzen and Paul Hamilton
This technical note introduces students to the concept of random variables, and from there the normal and binomial distributions. After a brief introduction to random variables, the note describes the standard properties of the normal distribution: a single peak, and a... View Details
Parzen, Michael, and Paul Hamilton. "Probability Distributions." Harvard Business School Technical Note 621-704, February 2021.
- March 2024
- Supplement
Madrigal: Conducting a Customer-Base Audit
By: Eva Ascarza, Bruce Hardie, Peter S. Fader and Michael Ross
This case presents a scenario where Madrigal, a U.S. retailer with a rich 20-year history and a solid loyalty program, faces a turning point with the arrival of a new CEO. This leadership change reveals a critical gap in understanding the customer base, prompting an... View Details
- 07 Oct 2015
- HBS Seminar
Ann Majchrzak, USC Marshall School of Business
- 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.)
- 07 Jun 2016
- First Look
June 7, 2016
May 2016 American Economic Review: Papers and Proceedings International Data on Measuring Management Practices By: Bloom, Nicholas, Renata Lemos, Raffaella Sadun, Daniela Scur, and John Van Reenen Abstract—We examine methods used to... View Details
Keywords: Sean Silverthorne