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  • All HBS Web  (2,883)
    • News  (476)
    • Research  (2,206)
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Show Results For

  • All HBS Web  (2,883)
    • News  (476)
    • Research  (2,206)
    • Events  (43)
    • Multimedia  (14)
  • Faculty Publications  (1,425)
← Page 14 of 2,883 Results →
  • December 2024
  • Article

Is There Too Little Antitrust Enforcement in the U.S. Hospital Sector?

By: Zarek Brot-Goldberg, Zack Cooper, Stuart Craig and Lev Klarnet
From 2002 to 2020, there were over 1,000 mergers of U.S. hospitals. During this period, the Federal Trade Commission (FTC) took enforcement actions against 13 transactions. However, using the FTC’s standard screening tools, we find that 20% of these mergers could have... View Details
Keywords: Monopoly; Mergers and Acquisitions; Governing Rules, Regulations, and Reforms; Competition; Health Industry
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Brot-Goldberg, Zarek, Zack Cooper, Stuart Craig, and Lev Klarnet. "Is There Too Little Antitrust Enforcement in the U.S. Hospital Sector?" American Economic Review: Insights 6, no. 4 (December 2024): 526–542.
  • 2023
  • Working Paper

The Optimal Stock Valuation Ratio

By: Sebastian Hillenbrand and Odhrain McCarthy
Trailing price ratios, such as the price-dividend and the price-earnings ratio, scale prices by trailing cash flow measures. They theoretically contain expected returns, yet, their performance in predicting stock market returns is poor. This is because of an omitted... View Details
Keywords: Price; Investment Return; AI and Machine Learning; Valuation; Cash Flow; Forecasting and Prediction
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Hillenbrand, Sebastian, and Odhrain McCarthy. "The Optimal Stock Valuation Ratio." Working Paper, November 2023.
  • 2009
  • Article

Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model

By: P. Caprariello, A.J.C. Cuddy and S.T. Fiske
The stereotype content model (SCM) posits that social structure predicts specific cultural stereotypes and associated emotional prejudices (Fiske et al., 2002). No prior evidence at a societal level has manipulated both structural predictors and measured both... View Details
Keywords: Competency and Skills; Mathematical Methods; Emotions; Personal Characteristics; Prejudice and Bias; Status and Position; Culture; Competition
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Caprariello, P., A.J.C. Cuddy, and S.T. Fiske. "Social Structure Shapes Cultural Stereotypes and Emotions: A Causal Test of the Stereotype Content Model." Group Processes & Intergroup Relations 12, no. 2 (2009): 147–155.
  • 07 Sep 2018
  • News

Exercise, Eat Well, Help Others: Altruism's Surprisingly Strong Health Impact

    The Link Between Bonds and Individual Stocks

    Government bonds comove more strongly with bond-like stocks: stocks of large, mature, low-volatility, profitable, dividend-paying firms that are neither high growth nor distressed. Variables derived from the yield curve that are already known to predict returns on... View Details

    • 2014
    • Chapter

    Appetite, Consumption, and Choice in the Human Brain

    By: Brian Knutson and Uma R. Karmarkar
    Although linked, researchers have long distinguished appetitive from consummatory phases of reward processing. Recent improvements in the spatial and temporal resolution of neuroimaging techniques have allowed researchers to separately visualize different stages of... View Details
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    Knutson, Brian, and Uma R. Karmarkar. "Appetite, Consumption, and Choice in the Human Brain." Chap. 9 in The Interdisciplinary Science of Consumption, edited by Stephanie D. Preston, Morten L. Kringelbach, and Brian Knutson, 163–184. Cambridge, MA: MIT Press, 2014.
    • 13 Nov 2019
    • Research & Ideas

    Don't Turn Your Marketing Function Over to AI Just Yet

    Imagine a future in which a smart marketing machine can predict the needs and habits of individual consumers and the dynamics of competitors across industries and markets. This device would collect data to answer strategic questions, guide managerial decisions, and... View Details
    Keywords: by Kristen Senz

      Using AI to Adjust Your Marketing and Sales in a Volatile World

      Why are some firms better and faster than others at adapting their use of customer data to respond to changing or uncertain marketing conditions? A common thread across faster-acting firms is the use of AI models to predict outcomes at various stages of the customer... View Details

      • 02 May 2013
      • HBS Seminar

      Eric Werker, Harvard Business School

      • May 2021 (Revised February 2024)
      • Teaching Note

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Ayelet Israeli and Jill Avery
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
      • 25 Oct 2004
      • Research & Ideas

      Planning for Surprises

      The train wreck that was Enron's collapse is only one big, blatant example of how some disasters catch us unawares—but shouldn't. In fact, according to Max H. Bazerman and Michael D. Watkins, many surprises in all types and sizes of organizations are View Details
      Keywords: by Martha Lagace
      • 20 Oct 2011
      • Research & Ideas

      Getting the Marketing Mix Right

      their FSL model, however, the results provided much greater detail about the potential effects of different marketing investments. For example, the model predicted that sales gains from DTCA and M&E would come primarily through... View Details
      Keywords: by Dina Gerdeman
      • September 1996 (Revised March 2002)
      • Case

      Bishay Industries

      By: David F. Hawkins and Norman Bartczak
      A bankrupt company has a turnaround plan. Students are asked to predict whether it will be successful. View Details
      Keywords: Insolvency and Bankruptcy; Business Plan; Goals and Objectives; Strategic Planning; Business Strategy; Cash Flow; Mathematical Methods; Financial Services Industry
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      Hawkins, David F., and Norman Bartczak. "Bishay Industries." Harvard Business School Case 197-024, September 1996. (Revised March 2002.)
      • 04 Dec 2019
      • Working Paper Summaries

      Pathways to Materiality: How Sustainability Issues Become Financially Material to Corporations and Their Investors

      Keywords: by Jean Rogers and George Serafeim
      • December 1970 (Revised September 2006)
      • Case

      Harmon Foods, Inc.

      Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness. View Details
      Keywords: Demand and Consumers; Production; Forecasting and Prediction; Budgets and Budgeting; Manufacturing Industry; Food and Beverage Industry
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      Whiston, William B. "Harmon Foods, Inc." Harvard Business School Case 171-248, December 1970. (Revised September 2006.)
      • Article

      Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates

      By: Peter R. Joos, Joseph D. Piotroski and Suraj Srinivasan
      We use a dataset of sell-side analysts' scenario-based valuation estimates to examine whether analysts reliably assess the risk surrounding a firm's fundamental value. We find that the spread in analysts' state-side contingent valuations captures the riskiness of... View Details
      Keywords: Analyst Forecasts; Scenarios; Uncertainty; Risk and Uncertainty; Valuation; Forecasting and Prediction
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      Joos, Peter R., Joseph D. Piotroski, and Suraj Srinivasan. "Can Analysts Assess Fundamental Risk and Valuation Uncertainty? An Empirical Analysis of Scenario-Based Value Estimates." Journal of Financial Economics 121, no. 3 (September 2016): 645–663.
      • 14 Mar 2023
      • Cold Call Podcast

      Can AI and Machine Learning Help Park Rangers Prevent Poaching?

      Keywords: Re: Brian L. Trelstad; Computer; Information Technology; Technology
      • 22 Jul 2015
      • News

      The behavioural economics of voluntary disclosure

      • 25 Apr 2013
      • HBS Seminar

      Scott Page, University of Michigan-Ann Arbor

      • 17 Dec 2020
      • Research & Ideas

      The 10 Most Popular Stories of 2020

      about the most interesting business trends of the year, and your predictions for 2021. Top 10 most popular stories Merck CEO Ken Frazier Discusses a COVID Cure, Racism, and Why Leaders Need to Walk the Talk Ken Frazier, one of only four... View Details
      Keywords: by Dina Gerdeman
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