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  • All HBS Web  (2,882)
    • News  (476)
    • Research  (2,210)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,425)

Show Results For

  • All HBS Web  (2,882)
    • News  (476)
    • Research  (2,210)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,425)
← Page 9 of 2,882 Results →
  • May 2012
  • Article

Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time

By: Jill Avery, Thomas J. Steenburgh, John Deighton and Mary Caravella
The authors propose a conceptual framework to explain whether and when the introduction of a new retail store channel helps or hurts sales in existing direct channels. A conceptual framework separates short- and long-term effects by analyzing the capabilities of a... View Details
Keywords: Marketing; Channels; Channels Of Distribution; Distribution; Retailing; Channel Management; Channel Migration; Multichannel Retailing; Framework; Customers; Marketing Channels; Sales; Internet and the Web; Demand and Consumers; Competency and Skills; Distribution Channels; E-commerce; Retail Industry; United States
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Avery, Jill, Thomas J. Steenburgh, John Deighton, and Mary Caravella. "Adding Bricks to Clicks: Predicting the Patterns of Cross-Channel Elasticities over Time." Journal of Marketing 76, no. 3 (May 2012): 96–111.
  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics

By: Michael W. Toffel and Dan Levy
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics." Harvard Business School PowerPoint Supplement 619-718, June 2019.
  • 09 Dec 2015
  • News

How Do You Predict Demand and Set Prices For Products Never Sold Before?

  • 2025
  • Working Paper

Cash Flow Volatility, Return Predictability and Stock Price Decompositions: Why You Should Scale Prices by Trend Cash Flows

By: Sebastian Hillenbrand and Odhrain McCarthy
We address two inconvenient facts in asset pricing: (i) valuation ratios are often more related to future cash flows than to returns, and (ii) they mostly fail to predict returns. We show that these issues arise because stock prices are scaled by cash flows that... View Details
Keywords: Cash Flow; Volatility; Investment Return; Asset Pricing; Forecasting and Prediction; Valuation; Stocks
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Hillenbrand, Sebastian, and Odhrain McCarthy. "Cash Flow Volatility, Return Predictability and Stock Price Decompositions: Why You Should Scale Prices by Trend Cash Flows." Working Paper, June 2025.
  • 01 Mar 2013
  • Working Paper Summaries

Hurry Up and Wait: Differential Impacts of Congestion, Bottleneck Pressure, and Predictability on Patient Length of Stay

Keywords: by Jaeker Berry Jillian & Anita L. Tucker; Health
  • 1995
  • Chapter

Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability

By: S. B. White, M. H. Bazerman and M. A. Neale
Keywords: Negotiation; Outcome or Result; Forecasting and Prediction
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White, S. B., M. H. Bazerman, and M. A. Neale. "Alternative Models of Negotiated Outcomes and the Nontraditional Utility Concerns That Limit Their Predictability." In Research on Negotiation in Organizations, edited by R. J. Bies, R. Lewicki, and B. Sheppard. Greenwich, CT: JAI Press, 1995.
  • Article

Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive Mood Benefits of Prosocial Spending

By: Ashley V. Whillans, Lara B. Aknin, Colin Ross, Lihan Chen and Frances S. Chen
Who benefits most from helping others? Previous research suggests that common polymorphisms of the oxytocin receptor gene (OXTR) predict whether people behave generously and experience increases in positive mood in response to socially-focused experiences in daily... View Details
Keywords: Prosocial Behavior; Positivity; Behavior Genetics; Individual Differences; Behavior; Emotions; Genetics; Spending
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Whillans, Ashley V., Lara B. Aknin, Colin Ross, Lihan Chen, and Frances S. Chen. "Common Variants of the Oxytocin Receptor Gene Do Not Predict the Positive Mood Benefits of Prosocial Spending." Emotion 20, no. 5 (August 2020): 734–749.
  • 09 Dec 2015
  • Research Event

How Do You Predict Demand and Set Prices For Products Never Sold Before?

explained that the world of business analytics includes descriptive analytics (analyzing what has happened), predictive analytics (analyzing data to figure out what will probably happen), and prescriptive analytics (using data to decide... View Details
Keywords: by Carmen Nobel; Retail; Apparel & Accessories
  • 2013
  • Article

Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap

By: Federica Durante, S. T. Fiske, Nicolas Kervyn and Amy J.C. Cuddy
Income inequality undermines societies: the more inequality, the more health problems, social tensions, and the lower social mobility, trust, and life expectancy. Given people's tendency to legitimate existing social arrangements, the Stereotype Content Model (SCM)... View Details
Keywords: Stereotypes; Cross-cultural/cross-border; Inequality; Prejudice and Bias; Equality and Inequality; Income; Cross-Cultural and Cross-Border Issues; Power and Influence
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Durante, Federica, S. T. Fiske, Nicolas Kervyn, and Amy J.C. Cuddy. "Nations' Income Inequality Predicts Ambivalence in Stereotype Content: How Societies Mind the Gap." British Journal of Social Psychology 52, no. 4 (December 2013): 726–746.
  • 2022
  • Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details
Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning
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Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations." Working Paper, 2022.
  • Article

Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise

Keywords: Cognition and Thinking
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Dijksterhuis, Ap, Maarten W. Bos, Andries Van der Leij, and Rick B. Van Baaren. "Predicting Soccer Matches after Unconscious and Conscious Thought as a Function of Expertise." Psychological Science 20, no. 11 (November 2009): 1381–1387.
  • 2013
  • Working Paper

Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs

By: Juan Alcacer, Wilbur Chung, Ashton Hawk and Goncalo Pacheco-de-Almeida
Although Strategy research aims to understand how firm actions have differential effects on performance, most empirical research estimates the average effects of these actions across firms. This paper promotes Random Coefficients Models (RCMs) as an ideal empirical... View Details
Keywords: Strategy; Mathematical Methods
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Alcacer, Juan, Wilbur Chung, Ashton Hawk, and Goncalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Testing for Firm Heterogeneity, Predicting Firm-Specific Coefficients, and Estimating Strategy Trade-Offs." Harvard Business School Working Paper, No. 14-022, September 2013.
  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics

By: Michael W. Toffel and Dan Levy
Citation
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics." Harvard Business School Spreadsheet Supplement 619-719, June 2019.
  • 2013
  • Working Paper

Appendix to 'Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity'

By: Carolin E. Pflueger and Luis M. Viceira
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Pflueger, Carolin E., and Luis M. Viceira. "Appendix to 'Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity'." Working Paper, September 2013.
  • fall 1999
  • Article

(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth

By: S.T. Fiske, J. Xu, A.J.C. Cuddy and P. Glick
Keywords: Status and Position; Attitudes; Competency and Skills
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Fiske, S.T., J. Xu, A.J.C. Cuddy, and P. Glick. "(Dis)Respecting versus (Dis)liking: Status and Interdepenences Predict Ambivalent Stereotypes of Competence and Warmth." Journal of Social Issues 55, no. 3 (fall 1999): 473–490.
  • 1998
  • Book

Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future

By: H. H. Stevenson and Jeffrey L. Cruikshank
Keywords: Personal Development and Career
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Stevenson, H. H., and Jeffrey L. Cruikshank. Do Lunch or Be Lunch: The Power of Predictability in Creating Your Future. Boston: Harvard Business School Press, 1998.
  • 01 Jun 2023
  • News

3-Minute Briefing: Jeremy Grantham (MBA 1966)

change, geopolitics, declining fertility rates, bad agricultural practices, high levels of debt, shortages of labor and raw materials, and more. You can’t predict the stress point, but the fact that something will crack is not... View Details
Keywords: climate change; finance; sustainability; prediction; Finance
  • 2020
  • Conference Presentation

A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity

By: X. Zhao, J. De Freitas, L. Tarhan and G. A. Alvarez
Citation
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Zhao, X., J. De Freitas, L. Tarhan, and G. A. Alvarez. "A Performance-optimized Limb Detection Model Selectively Predicts Behavioral Responses Based on Movement Similarity." Paper presented at the Annual Meeting of the Vision Sciences Society, St. Pete Beach, FL, 2020.
  • June 2019
  • Teaching Note

Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics

By: Michael W. Toffel and Dan Levy
Teaching Note for HBS No. 618-019. View Details
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Practicum in Predictive Analytics." Harvard Business School Teaching Note 619-071, June 2019.
  • June 2019
  • Supplement

Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics

By: Michael W. Toffel and Dan Levy
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Toffel, Michael W., and Dan Levy. "Improving Worker Safety in the Era of Machine Learning: Introduction to Predictive Analytics." Harvard Business School PowerPoint Supplement 619-717, June 2019.
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