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  • All HBS Web  (1,002)
    • News  (131)
    • Research  (710)
    • Events  (8)
    • Multimedia  (4)
  • Faculty Publications  (551)
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  • 2025
  • Working Paper

Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

By: Shawn Cole, Grady Killeen, Tomoko Harigaya 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: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
  • Forthcoming
  • Article

Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation

By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
Even if algorithms make better predictions than humans on average, humans may sometimes have private information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by... View Details
Keywords: AI and Machine Learning; Analytics and Data Science; Forecasting and Prediction; Digital Marketing
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Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Human-Algorithm Collaboration with Private Information: Naïve Advice Weighting Behavior and Mitigation." Management Science (forthcoming). (Pre-published online March 24, 2025.)
  • 2021
  • Working Paper

Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics
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Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage." NBER Working Paper Series, No. 28738, April 2021.
  • August 2003
  • Case

Mercury Computer Systems: The Evolution from Integrated Technology to Open Standard

By: Rebecca Henderson and Nancy Confrey
For 20 years, Mercury Computer Systems has thrived, providing products and services that support ultrafast processing of real time data. Now Jay Bertelli, the CEO, faces a critical question: How can the firm compete once the standards on which its products are based... View Details
Keywords: Analytics and Data Science; Open Source Distribution; Strategic Planning; Competitive Strategy; Competitive Advantage; Information Technology; Information Technology Industry
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Henderson, Rebecca, and Nancy Confrey. "Mercury Computer Systems: The Evolution from Integrated Technology to Open Standard." Harvard Business School Case 704-424, August 2003.
  • 04 Dec 2018
  • First Look

New Research and Ideas, December 4, 2018

https://www.hbs.edu/faculty/Pages/item.aspx?num=55323 Harvard Business School Case 119-020 LendingClub (A): Data Analytic Thinking (Abridged) LendingClub was founded in 2006 as an alternative, peer-to-peer... View Details
Keywords: Dina Gerdeman
  • 09 Mar 2010
  • First Look

First Look: March 9

International Conference on Financial Cryptography and Data Security (forthcoming) Abstract We describe a method for identifying "typosquatting," the intentional registration of misspellings of popular web site addresses. We... View Details
Keywords: Martha Lagace
  • July 2024
  • Technical Note

Introduction to SQL in Python

By: Michael Parzen and Jo Ellery
This note walks through the basics of SQL and how to use this language in Python via the SQLite package. View Details
Keywords: Analytics and Data Science
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Parzen, Michael, and Jo Ellery. "Introduction to SQL in Python." Harvard Business School Technical Note 625-024, July 2024.
  • August 1995 (Revised August 1995)
  • Case

CIGNA Property and Casualty Reengineering (A)

By: Richard L. Nolan, Donna B. Stoddard, Chiara Francalanci and Elise C Martin
Reengineering was introduced at CIGNA Corp. in 1988. CIGNA entered a second wave reengineering effort through a major project at CIGNA P&C, one of CIGNA's larger businesses. P&C was in financial crisis and as a result brought in a new executive team in 1991 to head the... View Details
Keywords: Transformation; Cost vs Benefits; Design; Growth and Development; Analytics and Data Science; Growth and Development Strategy; Balanced Scorecard; Financial Crisis; Crisis Management; Projects; Information Technology; Insurance Industry
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Nolan, Richard L., Donna B. Stoddard, Chiara Francalanci, and Elise C Martin. "CIGNA Property and Casualty Reengineering (A)." Harvard Business School Case 196-059, August 1995. (Revised August 1995.)
  • 03 Oct 2017
  • First Look

First Look at Research and Ideas, October 3, 2017

sustained, recipients will flee these threats or otherwise reshape their network to attenuate the negative psychological effects of the threat. Analyzing four years of peer feedback and social network data from an agribusiness company in... View Details
Keywords: by Sean Silverthorne
  • 2020
  • Working Paper

A General Theory of Identification

By: Iavor Bojinov and Guillaume Basse
What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models — roughly, a parameter θ in a model P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details
Keywords: Identification; Econometric Models; Analytics and Data Science; Theory
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Bojinov, Iavor, and Guillaume Basse. "A General Theory of Identification." Harvard Business School Working Paper, No. 20-086, February 2020.
  • 04 Jul 2016
  • Research & Ideas

Is Your Org Chart Stuck in a Rut? Try a Scientific Experiment

of late nineteenth century economist Max Weber; it’s called bureaucracy.) At the HBX Live event, Christensen explained why business practitioners should care about theory in the first place. “We teach our students to be data-driven, fact-based, and View Details
Keywords: by Carmen Nobel
  • 14 Jun 2016
  • First Look

June 14, 2016

which analysis of the numbers, facts, and data fails to provide a clear answer. Gray areas test not only managers’ skills but also their humanity. This book presents a five-question framework—based on the long humanist tradition of... View Details
Keywords: Sean Silverthorne
  • 12 Apr 2010
  • Research & Ideas

One Report: Better Strategy through Integrated Reporting

spectrum of readers. Quantitative information in tables that stand out and use of color ensure that the key points of the data are clear and also helpful. Easily navigable corporate Web sites make it easy to find information online, as do... View Details
Keywords: by Martha Lagace
  • 03 Feb 2016
  • Research & Ideas

The State of Customer Service Leadership

leaders must have are similar to those that are important for all general managers—effective communication, the analytic ability to size up a situation quickly, skills of reflection and concentration, and the ability to inspire others and... View Details
Keywords: by Jim Aisner; Retail
  • 03 Nov 2015
  • First Look

November 3, 2015

quantify the impact of scientific grant funding at the National Institutes of Health (NIH) on patenting by pharmaceutical and biotechnology firms. Our paper makes two contributions. First, we use newly constructed bibliometric data to... View Details
Keywords: Sean Silverthorne
  • November 1996
  • Article

Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets

By: C. I. Nass and Y. Moon
Keywords: Society; Analytics and Data Science; Information
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Nass, C. I., and Y. Moon. "Localized Autocorrelation Diagnostic Statistic for Sociological Models: Times-series, Network, and Spatial Datasets." Sociological Methods & Research 25, no. 2 (November 1996): 223–247.
  • 17 Mar 2021
  • Research & Ideas

Beyond Pajamas: Sizing Up the Pandemic Shopper

data-driven personalization platform for fashion retailers, provided us with an aggregated dataset of online apparel sales from a variety of anonymized well-known fashion retailers in the United States and the United Kingdom in 2019 and 2020. The View Details
Keywords: by Ayelet Israeli, Eva Ascarza, and Laura Castrillo; Retail
  • March 2022
  • Teaching Note

Digital Manufacturing at Amgen

By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This teaching note provides guidance for instructors teaching “Digital Manufacturing at Amgen,” case no. 621-008. View Details
Keywords: Change; Change Management; Decision Making; Cost vs Benefits; Decisions; Information Technology; Analytics and Data Science; Innovation and Invention; Innovation and Management; Innovation Leadership; Innovation Strategy; Technological Innovation; Jobs and Positions; Knowledge; Leadership; Organizational Culture; Science; Strategy; Technology Adoption; Biotechnology Industry; Pharmaceutical Industry; United States; California; Puerto Rico; Rhode Island
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Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Teaching Note 622-013, March 2022.
  • 18 Mar 2008
  • First Look

First Look: March 18, 2008

how these Americans spend their income tax refunds, using transaction-level data from a stored-value card product. Card-holders may choose among several tax settlement and loan options, effectively receiving cash as much as 90 days... View Details
Keywords: Martha Lagace
  • 16 Jan 2018
  • First Look

First Look at New Research and Ideas, January 16, 2018

from analytics when they haven’t declared it themselves. If marketers avoid those tactics, use data judiciously, focus on increasing trust and transparency, and offer people control over their personal data,... View Details
Keywords: Sean Silverthorne
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