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  • 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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  • 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
  • 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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  • 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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  • 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
  • April 12, 2022
  • Article

Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
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  • 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

    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

      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

      • 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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      • 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
      • 02 May 2013
      • HBS Seminar

      Eric Werker, Harvard Business School

      • 22 Jul 2015
      • News

      The behavioural economics of voluntary disclosure

      • 25 Apr 2013
      • HBS Seminar

      Scott Page, University of Michigan-Ann Arbor

      • 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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      • 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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      • 07 Apr 2003
      • Research & Ideas

      Three Steps for Crisis Prevention

      to actually mobilizing the resources required to stop it. We term this the "RPM process": recognition, prioritization, mobilization. Failure at any of these three stages will leave a company vulnerable to potentially devastating View Details
      Keywords: by Michael D. Watkins & Max H. Bazerman
      • 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
      • 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
      • 02 Aug 2010
      • News

      Four Things Groups Want that Leaders Can't Give — and One They Can