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Show Results For

  • All HBS Web  (3,380)
    • News  (517)
    • Research  (2,489)
    • Events  (43)
    • Multimedia  (18)
  • Faculty Publications  (1,610)
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  • 2021
  • Working Paper

When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
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McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Working Paper, January 2021.
  • October 2014
  • Case

Honeywell and the Great Recession (A)

By: Sandra J. Sucher and Susan J. Winterberg
CEO Dave Cote spent six years turning around an ailing Honeywell and in 2008 Cote and his team face a new challenge: how to respond to the Great Recession. Cote does not want to give up the gains he made in transforming and unifying Honeywell. With a fall-off in... View Details
Keywords: Layoffs; Furloughs; Downsizing; Work Sharing; Short Time Work; Recessions; Earnings Forecast; Job Cuts and Outsourcing; Cost Management; Executive Compensation; Crisis Management; Financial Crisis; Manufacturing Industry
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Sucher, Sandra J., and Susan J. Winterberg. "Honeywell and the Great Recession (A)." Harvard Business School Case 315-022, October 2014.
  • February 2018 (Revised December 2020)
  • Supplement

People Analytics at Teach For America (Data Set)

By: Jeffrey T. Polzer
This data set is a supplement to the People Analytics at Teach For America (A) case. View Details
Keywords: Analytics; Human Resource Management; Data; Workforce; Hiring; Talent Management; Forecasting; Predictive Analytics; Organizational Behavior; Recruiting
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Polzer, Jeffrey T. "People Analytics at Teach For America (Data Set)." Harvard Business School Spreadsheet Supplement 418-715, February 2018. (Revised December 2020.)
  • May 2018
  • Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
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Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
  • 05 Feb 2019
  • Working Paper Summaries

Stereotypes and Belief Updating

Keywords: by Katherine B. Coffman, Manuela Collis, and Leena Kulkarni
  • 11 Jul 2018
  • Working Paper Summaries

Channeled Attention and Stable Errors

Keywords: by Tristan Gagnon-Bartsch, Matthew Rabin, and Joshua Schwartzstein
  • 2016
  • Book

Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services

By: Elie Ofek, Eitan Muller and Barak Libai
This book bridges the gap between what academics know, and what innovation stakeholders—from managers, to investors, to analysts, to consumers—need to know about how new products and services are expected to perform in the marketplace. The book develops a compelling... View Details
Keywords: Innovation; Technology Diffusion; New Products; Customer Lifetime Value; Monetization Strategy; Social Influence; Innovation Adoption; Forecasting Demand; Commercialization; Marketing Strategy; Practice; Customer Value and Value Chain; Research; Innovation and Management; Technology Adoption; Forecasting and Prediction; Product Development
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Ofek, Elie, Eitan Muller, and Barak Libai. Innovation Equity: Assessing and Managing the Monetary Value of New Products and Services. University of Chicago Press, 2016.
  • February 2019
  • Case

Miroglio Fashion (A)

By: Sunil Gupta and David Lane
Francesco Cavarero, chief information officer of Miroglio Fashion, Italy’s third-largest retailer of women’s apparel, was trying to bring analytical rigor to the company’s forecasting and inventory management decisions. But fashion is inherently hard to predict. Can... View Details
Keywords: Inventory Management; Demand Forecasting; Artificial Intelligence; Machine Learning; Forecasting and Prediction; Operations; Management; Decision Making; AI and Machine Learning; Apparel and Accessories Industry; Apparel and Accessories Industry
Citation
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Gupta, Sunil, and David Lane. "Miroglio Fashion (A)." Harvard Business School Case 519-053, February 2019.
  • 1997
  • Chapter

On the Dynamics of Forecasting in Technologically Complex Environments: The Unexpectedly Long Old Age of Optical Lithography

By: Rebecca M. Henderson
Keywords: History; Information Technology; Situation or Environment; Complexity; Forecasting and Prediction; Technology Industry
Citation
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Henderson, Rebecca M. "On the Dynamics of Forecasting in Technologically Complex Environments: The Unexpectedly Long Old Age of Optical Lithography." In Technological Innovation: Oversights and Foresights, edited by Raghu Garud, Praveen Rattan Nayyar, and Zur Baruch Shapira. New York: Cambridge University Press, 1997.
  • June 18, 2014
  • Blog Post

How to Kill Quarterly Earnings Guidance

By: Gabriel Karageorgiou, Daniela Saltzman and George Serafeim
Keywords: Forecast; Short-termism; Sustainability; Earnings Management; Competitive Advantage
Citation
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Karageorgiou, Gabriel, Daniela Saltzman, and George Serafeim. "How to Kill Quarterly Earnings Guidance." HBR Blog Network (June 18, 2014). http://blogs.hbr.org/2014/06/how-to-kill-quarterly-earnings-guidance/.
  • July 2019
  • Article

I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice

By: Kate Barasz, Tami Kim and Ioannis Evangelidis
People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen... View Details
Keywords: Self-other Difference; Social Perception; Inference-making; Preferences; Consumer Behavior; Prediction; Prediction Error; Decision Choices and Conditions; Perception; Behavior; Forecasting and Prediction
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Barasz, Kate, Tami Kim, and Ioannis Evangelidis. "I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice." Special Issue on The Cognitive Science of Political Thought. Cognition 188 (July 2019): 85–97.
  • June 2010 (Revised July 2011)
  • Teaching Note

Classic Knitwear and Guardian: A Perfect Fit? (Brief Case)

By: John A. Quelch and Patricia Girardi
Teaching Note for 4217. View Details
Keywords: Market Research; Forecasting; Consumer Marketing; New Product Marketing; Product Lines; Merchandising; Branding; Research; Marketing Channels; Forecasting and Prediction; Product Launch; Brands and Branding
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Quelch, John A., and Patricia Girardi. "Classic Knitwear and Guardian: A Perfect Fit? (Brief Case)." Harvard Business School Teaching Note 104-218, June 2010. (Revised July 2011.)
  • Research Summary

Overview

Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. View Details
Keywords: Data Science; Project Management; Forecasting; Behavior And Behavioral Decision Making
  • 2019
  • Working Paper

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta
Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability, or their responsiveness to a... View Details
Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit
Citation
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Lemmens, Aurelie, and Sunil Gupta. "Managing Churn to Maximize Profits." Harvard Business School Working Paper, No. 14-020, September 2013. (Revised December 2019. Forthcoming at Marketing Science.)
  • 09 Mar 2021
  • Working Paper Summaries

Stock Price Reactions to ESG News: The Role of ESG Ratings and Disagreement

Keywords: by George Serafeim and Aaron Yoon; Financial Services
  • 04 Jun 2019
  • Working Paper Summaries

Political Influence and Merger Antitrust Reviews

Keywords: by Mihir N. Mehta, Suraj Srinivasan, and Wanli Zhao
  • Article

Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates

By: J. Peter Scoblic
Would-be forecasters have increasingly extolled the predictive potential of Big Data and artificial intelligence. This essay reviews the career of Sherman Kent, the Yale historian who directed the CIA’s Office of National Estimates from 1952 to 1967, with an eye toward... View Details
Keywords: National Security; Analytics and Data Science; Analysis; Forecasting and Prediction; History
Citation
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Scoblic, J. Peter. "Beacon and Warning: Sherman Kent, Scientific Hubris, and the CIA's Office of National Estimates." Texas National Security Review 1, no. 4 (August 2018).
  • 30 Jun 2016
  • Working Paper Summaries

The Dyadic Ties of Managers and Financial Analysts and Their Externality on a Firm's Information Environment

Keywords: by Zengquan Li, T.J. Wong, and Gwen Yu; Financial Services
  • 2000
  • Other Unpublished Work

New Trading Practices and the Short-run Predictability of the S&P 500: Market Volatility and Investor Confidence, Report to the Board of Directors of the New York Stock Exchange, Inc.

By: André Perold
Keywords: Stocks; Financial Markets; Governing Rules, Regulations, and Reforms; Capital Markets; Volatility; Market Timing
Citation
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Perold, André. "New Trading Practices and the Short-run Predictability of the S&P 500: Market Volatility and Investor Confidence, Report to the Board of Directors of the New York Stock Exchange, Inc." 2000.
  • April–May 2017
  • Article

Career Concerns of Banking Analysts

By: Joanne Horton, George Serafeim and Shan Wu
We study how career concerns influence banking analysts' forecasts and how their forecasting behavior benefits both them and bank managers. We show that banking analysts issue early in the year relatively more optimistic and later in the year more pessimistic forecasts... View Details
Keywords: Sell-side Analysts; Analyst Forecasts; Analysts; Investment Recommendations; Career Advancement; Career Management; Labor Mobility; Labor Market; Prejudice and Bias; Personal Development and Career; Forecasting and Prediction; Investment Banking
Citation
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Horton, Joanne, George Serafeim, and Shan Wu. "Career Concerns of Banking Analysts." Journal of Accounting & Economics 63, nos. 2-3 (April–May 2017): 231–252.
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