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  • All HBS Web  (2,865)
    • News  (471)
    • Research  (2,200)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,411)

Show Results For

  • All HBS Web  (2,865)
    • News  (471)
    • Research  (2,200)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,411)
← Page 8 of 2,865 Results →
  • November 2023
  • Article

Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success

By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to... View Details
Keywords: Emotions; Personal Characteristics; Well-being
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Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
  • October 2023
  • Teaching Note

Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs

By: Jonas Heese and Jung Koo Kang
Teaching Note for HBS Case No. 123-042. View Details
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Heese, Jonas, and Jung Koo Kang. "Accounting for Loan Losses at JPMorgan Chase: Predicting Credit Costs." Harvard Business School Teaching Note 124-039, October 2023.
  • March 2013
  • Article

Misvaluing Innovation

By: Lauren Cohen, Karl Diether and Christopher Malloy
We demonstrate that a firm's ability to innovate is predictable, persistent, and relatively simple to compute, and yet the stock market ignores the implications of past successes when valuing future innovation. We show that two firms that invest the exact same in... View Details
Keywords: Innovation; Return Predictability; R&D; Information; Forecasting and Prediction; Research and Development; Innovation and Invention
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Cohen, Lauren, Karl Diether, and Christopher Malloy. "Misvaluing Innovation." Review of Financial Studies 26, no. 3 (March 2013): 635–666.
  • August 2016
  • Article

The Role of (Dis)similarity in (Mis)predicting Others' Preferences

By: Kate Barasz, Tami Kim and Leslie K. John
Consumers readily indicate liking options that appear dissimilar—for example, enjoying both rustic lake vacations and chic city vacations or liking both scholarly documentary films and action-packed thrillers. However, when predicting other consumers’ tastes for the... View Details
Keywords: Perceived Similarity; Prediction Error; Preference Prediction; Self-other Difference; Social Inference; Cognition and Thinking; Perception; Forecasting and Prediction
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Barasz, Kate, Tami Kim, and Leslie K. John. "The Role of (Dis)similarity in (Mis)predicting Others' Preferences." Journal of Marketing Research (JMR) 53, no. 4 (August 2016): 597–607.
  • June 7, 1990
  • Article

New Trading Practices and the Short-run Predictability of the S&P 500

By: André Perold, Kenneth A. Froot and James F. Gammill Jr.
Keywords: Institutional Investing; Market Efficiency; Equities; Stock Market; Indexing; Asset Pricing; Financial Markets; Investment; Behavioral Finance
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Perold, André, Kenneth A. Froot, and James F. Gammill Jr. "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. (June 7, 1990): G1: 1–27.
  • 21 May 2012
  • News

Predictable Time Off: The Team Solution To Overcoming Constant Work Connection

  • 15 Aug 2016
  • Research & Ideas

Black Swans and Big Trends Can Ruin Anyone's Internet Prediction

investments are once again declining. Reasoning that today’s tech entrepreneurs and investors might value a history lesson, I’ve published Speed Trap as an ebook, which is downloadable for free in PDF format, and available in the iBooks Store for free and in the Kindle... View Details
Keywords: by Thomas R. Eisenmann; Technology
  • 16 Dec 2020
  • News

A Harvard Business School Professor Is Predicting the 9-to-5 Workweek Will become the '3-2-2' After the Pandemic

  • 2023
  • Chapter

Analyzing Human Decisions and Machine Predictions in Bail Decision Making

By: Jon Kleinberg, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig and Sendhil Mullainathan
BOOK ABSTRACT: Oriented toward the introductory student, The Inequality Reader is the essential textbook for today's undergraduate courses. The editors have assembled the most important classic and contemporary readings about how poverty and inequality are... View Details
Keywords: Equality and Inequality
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Kleinberg, Jon, Himabindu Lakkaraju, Jure Leskovec, Jens Ludwig, and Sendhil Mullainathan. "Analyzing Human Decisions and Machine Predictions in Bail Decision Making." In The Inequality Reader: Contemporary and Foundational Readings in Race, Class, and Gender. 3rd edition, edited by David B. Grusky and Szonja Szelényi. Routledge, forthcoming.
  • 9 May 2013 - 11 May 2013
  • Conference Presentation

Stock Market Prediction via Social Media: The Importance of Competitors

By: Frank Nagle
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Nagle, Frank. "Stock Market Prediction via Social Media: The Importance of Competitors." Paper presented at the Trans-Atlantic Doctoral Conference, London Business School, London, UK, May 9–11, 2013.
  • 31 Oct 2017
  • News

Predictions for the Future of Small Business Lending and Fintech

  • January 2021
  • Article

How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19

By: Friedrich M. Götz, Andrés Gvirtz, Adam D. Galinsky and Jon M. Jachimowicz
The spread of COVID-19 within any given country or community at the onset of the pandemic depended in part on the sheltering-in-place rate of its citizens. The pandemic led us to revisit one of psychology’s most fundamental and most basic questions in a high-stakes... View Details
Keywords: COVID; COVID-19; Pandemic; Shelter-in-place; Personality; Government; Interactionism; Health Pandemics; Behavior; Personal Characteristics; Policy; Governance Compliance
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Götz, Friedrich M., Andrés Gvirtz, Adam D. Galinsky, and Jon M. Jachimowicz. "How Personality and Policy Predict Pandemic Behavior: Understanding Sheltering-in-Place in 55 Countries at the Onset of COVID-19." American Psychologist 76, no. 1 (January 2021): 39–49.
  • December 2021
  • Article

Entrepreneurial Learning and Strategic Foresight

By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
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Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
  • 22 Nov 2024
  • News

Will AI Kill Google? Past Predictions of Doom Were Totally Wrong.

  • 2013
  • Article

Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews

By: Jun Seok Kang, Polina Kuznetsova, Yejin Choi and Michael Luca
Restaurant hygiene inspections are often cited as a success story of public disclosure. Hygiene grades influence customer decisions and serve as an accountability system for restaurants. However, cities (which are responsible for inspections) have limited resources to... View Details
Keywords: Safety; Food; Governance Compliance; Mathematical Methods; Applications and Software; Public Administration Industry; Retail Industry; Food and Beverage Industry
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Kang, Jun Seok, Polina Kuznetsova, Yejin Choi, and Michael Luca. "Where Not to Eat? Improving Public Policy by Predicting Hygiene Inspections Using Online Reviews." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2013): 1443–1448.
  • 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?

  • 2016
  • Chapter

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

By: Carolin E. Pflueger and Luis M. Viceira
Keywords: Investment Return; Bonds; Forecasting and Prediction; Inflation and Deflation
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Pflueger, Carolin E., and Luis M. Viceira. "Return Predictability in the Treasury Market: Real Rates, Inflation, and Liquidity." Chap. 10 in Handbook of Fixed-Income Securities, edited by Pietro Veronesi, 191–209. Wiley Handbooks in Financial Engineering and Econometrics. Hoboken, NJ: John Wiley & Sons, 2016.
  • 2004
  • Book

Seeing What's Next: Using the Theories of Innovation to Predict Industry Change

By: C. M. Christensen, Scott D. Anthony and Erik A Roth
Keywords: Theory; Innovation and Invention; Change; Business Ventures
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Christensen, C. M., Scott D. Anthony, and Erik A Roth. Seeing What's Next: Using the Theories of Innovation to Predict Industry Change. Boston: Harvard Business School Press, 2004.
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