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  • All HBS Web  (1,278)
    • News  (115)
    • Research  (1,050)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (803)

Show Results For

  • All HBS Web  (1,278)
    • News  (115)
    • Research  (1,050)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (803)
← Page 43 of 1,278 Results →
  • May 2024
  • Article

Relational Attributions for One’s Own Resilience Predict Compassion for Others

By: Rachel Ruttan, Ting Zhang, Sivahn Barli and Katherine DeCelles
Existing work on attribution theory distinguishes between external and internal attributions (i.e., “I overcame adversity due to luck” vs. “my own effort”). We introduce the construct of relational resilience attributions (i.e., “due to help from other people”) as a... View Details
Keywords: Personal Characteristics; Forecasting and Prediction; Attitudes; Behavior
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Ruttan, Rachel, Ting Zhang, Sivahn Barli, and Katherine DeCelles. "Relational Attributions for One’s Own Resilience Predict Compassion for Others." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 818–840.
  • October 2024
  • Article

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
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Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
  • January 2021
  • Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
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Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
  • August 2020 (Revised September 2020)
  • Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
  • February 2018
  • Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley
This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details
Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis
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Polzer, Jeffrey T., and Julia Kelley. "People Analytics at Teach For America (B)." Harvard Business School Supplement 418-049, February 2018.
  • 12 Jul 2011
  • First Look

First Look: July 12

debt issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the financing costs... View Details
Keywords: Carmen Nobel
  • 24 Jan 2017
  • First Look

First Look at New Research: January 24, 2017

earnings patterns. Firms with historically larger earnings in one quarter of the year (“positive seasonality quarters”) have higher returns when those earnings are usually announced. Analysts have more positive forecast errors in positive... View Details
Keywords: Sean Silverthorne
  • 05 Mar 2013
  • First Look

First Look: March 5

issuers deteriorates during credit booms, and that this deterioration forecasts low excess returns to corporate bondholders. The key insight is that changes in the pricing of credit risk disproportionately affect the financing costs faced... View Details
Keywords: Sean Silverthorne
  • February 2007 (Revised January 2008)
  • Supplement

Multifactor Models (CW)

By: Malcolm P. Baker
Keywords: Asset Pricing; Cost of Capital; Forecasting and Prediction; Investment Funds; Investment Return; Mathematical Methods; Performance Evaluation
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Baker, Malcolm P. "Multifactor Models (CW)." Harvard Business School Spreadsheet Supplement 207-710, February 2007. (Revised January 2008.)
  • 11 Dec 2007
  • First Look

First Look: December 11, 2007

  Working PapersThe Seer of Wellesley Hills: Roger Babson and the Babson Statistical Organization Author:Walter A. Friedman Abstract Roger Babson was a pioneer of the business-forecasting industry in the United States in the early twentieth century. He built the... View Details
Keywords: Martha Lagace
  • Web

Entrepreneurial Sales 102: Building the First Sales Team - Course Catalog

sales team Establish your first sales plan Manage the board’s expectations on revenue Instrument an accurate forecasting model “Superior sales and distribution by itself can create a monopoly, even with no product differentiation. The... View Details
  • 01 Dec 2007
  • News

Learning to Lead

Authored by Assistant Professors Boris Groysberg and Chris Marquis, the case is taught in the first-year course Leadership and Organizational Behavior (LEAD). After just a few days on the job, Keller (MBA ’05) is taken off one project and thrown into another involving... View Details
Keywords: Julia Hanna; Management
  • 25 Feb 2015
  • Lessons from the Classroom

Scholars and Students Unpack the Digital Business Revolution

hedge fund, an Amazon employee focused on retail data, and a forecaster at General Electric," says HBS David Sarnoff Professor of Business Administration Marco Iansiti, who serves as faculty chair of the initiative and head of the... View Details
Keywords: by Julia Hanna; Education; Technology
  • April 2025 (Revised May 2025)
  • Background Note

Customer Acquisition and the Cash Flow Trap

By: E. Ofek, Barak Libai and Eitan Muller
Startups as well as existing firms recognize the need to invest in order to acquire customers for their new ventures. And as each customer is expected at some point to have generated sufficient gross margins to cover their CAC, management expects that, soon enough, the... View Details
Keywords: Business Model; Customers; Forecasting and Prediction; Cash Flow; Business or Company Management
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Ofek, E., Barak Libai, and Eitan Muller. "Customer Acquisition and the Cash Flow Trap." Harvard Business School Background Note 525-056, April 2025. (Revised May 2025.)
  • July 2019
  • Case

Four Products: Predicting Diffusion (2019)

By: John Gourville
One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details
Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Product; Adoption; Product Launch
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Gourville, John. "Four Products: Predicting Diffusion (2019)." Harvard Business School Case 520-012, July 2019.
  • December 1998
  • Background Note

Cash Management Practices in Small Companies

By: H. Kent Bowen, Andrew R. Jassy, Laurence E. Katz, Kevin E. Kelly and Baltej Kochar
Most small business managers claim that cash management is their leading concern. Often walking a tightrope between growth and illiquidity, small business managers face different cash management challenges than their counterparts in larger companies. Compared to larger... View Details
Keywords: Motivation and Incentives; Working Capital; Management Practices and Processes; Organizational Design; Cash; Forecasting and Prediction; Policy; Business Strategy
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Bowen, H. Kent, Andrew R. Jassy, Laurence E. Katz, Kevin E. Kelly, and Baltej Kochar. "Cash Management Practices in Small Companies." Harvard Business School Background Note 699-047, December 1998.
  • 24 Sep 2014
  • Op-Ed

The Climate Needs Aggressive CEO Leadership

Corporations are facing great uncertainty. For the world to avoid the worst impacts of climate change, the United States eventually will have to put a price on carbon dioxide emissions, as has been done by Europe, parts of Canada, and California. To plan for the... View Details
Keywords: by Michael Toffel & Auden Schendler; Energy; Utilities
  • 18 May 2010
  • First Look

First Look: May 18

forecast characteristic-related stock returns. For example, we show that large firms underperform following years when issuing firms are large relative to repurchasing firms. Our approach is useful for View Details
Keywords: Martha Lagace
  • 23 Oct 2019
  • News

Exploring Big Issues at the Intersection of Business and Society

Professor Joseph Fuller looked beyond dystopian forecasts to explore how ever-evolving technology has the potential to improve the quality of work lives, the earnings of most workers, and company productivity. Viewpoints exposed students... View Details
Keywords: Educational Innovation
  • 28 May 2019
  • News

Beyond the Bitcoin Bubble

hosted an HBS Club of New York panel discussion on cryptocurrencies earlier this year, and she’s here to help us forecast the future of digital dough. “People who got burned when the price of bitcoin crashed are now starting to do more... View Details
Keywords: Dan Morrell
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