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  • All HBS Web  (2,885)
    • News  (476)
    • Research  (2,212)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,428)

Show Results For

  • All HBS Web  (2,885)
    • News  (476)
    • Research  (2,212)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,428)
← Page 68 of 2,885 Results →
  • April 2020
  • Article

Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015

By: Giovanni Dosi, Marco Grazzi, Daniele Moschella, Gary P. Pisano and Federico Tamagni
Firm growth is an essential feature of market economies, shaping together macroeconomic performance and the evolution of industry structures. As a potential indicator of organizational “fitness” within a competitive environment, firm growth is also a central concern to... View Details
Keywords: Firm Growth; Organizations; Growth and Development; Theory; Analysis; Production; Data and Data Sets
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Dosi, Giovanni, Marco Grazzi, Daniele Moschella, Gary P. Pisano, and Federico Tamagni. "Long-term Firm Growth: An Empirical Analysis of U.S. Manufacturers 1959–2015." Industrial and Corporate Change 29, no. 2 (April 2020): 309–332.
  • 06 Feb 2020
  • Research & Ideas

What We Learned from Reading Jeff Bezos’ Patents

which Bezos spends time patenting or not patenting reflects his interests. More important, this analysis provides more depth to our earlier analysis, which suggested that the effectiveness of twenty-first century CEOs could be predicted... View Details
Keywords: by Tricia Gregg and Boris Groysberg; Retail
  • 25 Mar 2009
  • Working Paper Summaries

Demographics, Career Concerns or Social Comparison: Who Games SSRN Download Counts?

Keywords: by Benjamin G. Edelman & Ian I. Larkin; Education
  • Research Summary

Customer-Centricity as a Vehicle for Organic Growth

By: Ranjay Gulati
This body of work examines the mechanics of how firms grow profitably in commoditizing markets. Underlying the "customer-centricity" that many firms embrace today is a factor that will determine their success with this effort: enabling collaboration across... View Details
  • 2018
  • Working Paper

Channeled Attention and Stable Errors -- Previous Working Version

By: Tristan Gagnon-Bartsch, Matthew Rabin and Joshua Schwartzstein
A common critique of models of mistaken beliefs is that people should recognize their error after observations they thought were unlikely. This paper develops a framework for assessing when a given error is likely to be discovered, in the sense that the error-maker... View Details
Keywords: Perception; Behavior; Theory; Situation or Environment
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Gagnon-Bartsch, Tristan, Matthew Rabin, and Joshua Schwartzstein. "Channeled Attention and Stable Errors -- Previous Working Version." Harvard Business School Working Paper, No. 18-108, June 2018.
  • 13 Dec 2011
  • First Look

First Look: Dec. 13

  PublicationsAdding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time Authors:Jill Avery, Thomas J. Steenburgh, John Deighton, and Mary Caravella Publication:Journal of Marketing (forthcoming) Abstract In... View Details
Keywords: Sean Silverthorne
  • Web

Business Fundamentals Course - CORe | HBS Online

Adjusting Journal Entries The Statement of Cash Flows Analyzing Financial Statements Accounting for the Future Featured Exercises Discover how balance sheets, income statements, and cash flow statements are developed Predict future... View Details
  • 21 Jul 2021
  • Research & Ideas

What Does an ESG Score Really Say About a Company?

Receiving more information can clarify the complex, but not when it comes to environmental, social, and governance (ESG) scores. A recent study shows that the more information a company discloses about its ESG practices, the more rating agencies disagree on how well... View Details
Keywords: by Kristen Senz
  • Web

Online Business Analytics Course | HBS Online

results of a series of website A/B tests 8 hrs Module 4 Single Variable Linear Regression Analyze the relationship between two variables and develop forecasts for values outside the data set. Highlights Prediction Intervals Interpreting... View Details
  • 23 May 2018
  • Research & Ideas

How to Know If Your Neighborhood Is Being Gentrified

that gentrification can ruin neighborhoods by forcing out existing businesses that serve the needs of the locals. “We found that changes in the local economy—such as a new coffee shop opening—can predict gentrification,” says Harvard... View Details
Keywords: by Dina Gerdeman
  • 18 Jan 2016
  • Research & Ideas

Hazard Warning: The Unacceptable Cost of Toxic Workers

supplies to disrespectful behavior, falsifying documents, bullying people, and sexual harassment, and what I’m observing are those people who are actually terminated,” Minor says. “If you’re overconfident, you think you’re less likely to be caught. That’s very View Details
Keywords: by Roberta Holland
  • 13 Aug 2012
  • Research & Ideas

When Good Incentives Lead to Bad Decisions

application on a scale of 0 to 100. Loan approvals were not contingent on a minimum score. "This approach is common practice for consumer and small-enterprise loans for which the bank records internal ratings but does not use View Details
Keywords: by Carmen Nobel; Banking
  • 01 Jun 2011
  • Working Paper Summaries

The First Deal: The Division of Founder Equity in New Ventures

Keywords: by Thomas F. Hellmann & Noam Wasserman
  • 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
Keywords: Analytics and Data Science; Mathematical Methods
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Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
  • 2021
  • Working Paper

Dirty Money: How Banks Influence Financial Crime

By: Joseph Pacelli, Janet Gao, Jan Schneemeier and Yufeng Wu
On September 21st, 2020, a consortium of international journalists leaked nearly 2,500 suspicious activity reports (SAR) obtained from the U.S. Financial Crimes Enforcement Network, exposing nearly $2 trillion of money laundering activity. The event raises important... View Details
Keywords: Financial Institutions; Crime and Corruption; Policy
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Pacelli, Joseph, Janet Gao, Jan Schneemeier, and Yufeng Wu. "Dirty Money: How Banks Influence Financial Crime." Working Paper, July 2021.
  • 26 Jun 2018
  • First Look

New Research and Ideas, June 26, 2018

facial-expression tracking is used to study viewers’ real-time emotional responses when watching comedy movie trailers online. These data are used to predict both viewers’ intentions to watch the movie and the movie’s box office success.... View Details
Keywords: Dina Gerdeman
  • 19 Apr 2010
  • Research & Ideas

The History of Beauty

largest, most professionally managed global companies find it hard to predict the success of product launches, and can stumble badly. One estimate is that 90 percent of new fragrance launches fail. Getting the word out to consumers, and... View Details
Keywords: by Sean Silverthorne; Beauty & Cosmetics
  • 09 Oct 2001
  • Research & Ideas

Driven: How Human Nature Shapes Organizations

bores you, and which the world does not need—this life is hell. —W.E.B. Du Bois In the organizational context, the four-drive theory implies that every person, from the CEO to the most junior employee will bring a predictable set of... View Details
Keywords: by Paul Lawrence & Nitin Nohria
  • 09 Jan 2020
  • Book

Rethinking Business Strategy in the Age of AI

Industrial Revolution. This is a fundamental change in the means of production, and it’s affecting every industry across the board. Gerdeman: Netflix has successfully used AI-driven processes to create sophisticated predictions about its... View Details
Keywords: by Dina Gerdeman
  • January 2024 (Revised February 2024)
  • Case

Data-Driven Denim: Financial Forecasting at Levi Strauss

By: Mark Egan
The case examines Levi Strauss’ journey in implementing machine learning and AI into its financial forecasting process. The apparel company partnered with the IT company Wipro in 2017 to develop a machine learning algorithm that could help Levi Strauss forecast its... View Details
Keywords: Investor Relations; Forecasting; Machine Learning; Artificial Intelligence; Apparel; Corporate Finance; Forecasting and Prediction; AI and Machine Learning; Digital Transformation; Apparel and Accessories Industry; United States
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Egan, Mark. "Data-Driven Denim: Financial Forecasting at Levi Strauss." Harvard Business School Case 224-029, January 2024. (Revised February 2024.)
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