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  • All HBS Web  (323)
    • News  (43)
    • Research  (241)
    • Events  (4)
  • Faculty Publications  (144)

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  • All HBS Web  (323)
    • News  (43)
    • Research  (241)
    • Events  (4)
  • Faculty Publications  (144)
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  • 03 May 2022
  • Research & Ideas

Desperate for Talent? Consider Advancing Your Own Employees First

Job openings in the United States continue to hover at record high levels, exacerbated by the Great Resignation and a sputtering emergence from the pandemic. Competition remains fierce among companies struggling to find qualified workers. Yet many employers,... View Details
Keywords: by Rachel Layne
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • 16 May 2000
  • Research & Ideas

Getting the Message: How the Internet is Changing Advertising

according to Forrester Research, a consulting firm specializing in e-commerce. Industry observers are shy to predict just what the future of advertising will look like, but they agree that the pace and enormity of changes that have come... View Details
Keywords: by Susan Young
  • 02 May 2022
  • What Do You Think?

Can the Case Method Survive Another Hundred Years?

source of criticism from those preferring research based on large data bases of quantitative information and advanced analytic techniques. "It can be a living hell for some distinguished CEOs returning to the School thinking that they can... View Details
Keywords: by James Heskett; Education
  • November 2018
  • Case

Komatsu Komtrax: Asset Tracking Meets Demand Forecasting

By: Willy Shih, Paul Hong and YoungWon Park
Komatsu's Komtrax system started as a way of remotely monitoring and tracking equipment for the purpose of improving operational efficiency. This case follows its evolution towards other uses including demand forecasting for its sales, marketing, and production... View Details
Keywords: Big Data; Manufacturing; Manufacturing Industry; Data Strategy; Internet Of Things; Construction; Production; Analytics and Data Science; Strategy; Performance Efficiency; Forecasting and Prediction; Industrial Products Industry; Construction Industry; Japan
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Shih, Willy, Paul Hong, and YoungWon Park. "Komatsu Komtrax: Asset Tracking Meets Demand Forecasting." Harvard Business School Case 619-022, November 2018.
  • 15 Jul 2014
  • First Look

First Look: July 15

  Publications August 2013 Strategic Entrepreneurship Journal Business Model Evaluation: Quantifying Walmart's Sources of Advantage By: Brea-Solís, Humberto, Ramon Casadesus-Masanell, and Emili Grifell-Tatjé Abstract—We develop an View Details
Keywords: Carmen Nobel
  • November 1990
  • Case

Chemplan Corp.: Paint-Rite Division

By: Paul A. Vatter
An exercise with data that allows a discussion of regression analysis as a tool for forecasting and understanding structure. View Details
Keywords: Forecasting and Prediction; Framework; Analytics and Data Science; Mathematical Methods
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Vatter, Paul A. "Chemplan Corp.: Paint-Rite Division." Harvard Business School Case 191-090, November 1990.
  • 06 Oct 2011
  • What Do You Think?

How Will the ‘Moneyball Generation’ Influence Management?

Summing Up Should "Moneyball Analytics" Play a Greater Role in Preparation for Management? There was general agreement among respondents to this month's column that we will see a growing emphasis on analytics among managers as... View Details
Keywords: by James Heskett
  • March 1980 (Revised February 1987)
  • Case

Sweco, Inc. (A)

By: Michael E. Porter and George S. Yip
Describes Sweco's decision about whether to enter the mud-processing equipment industry (used in oil well drilling). This is an internal entry decision, and the case describes Sweco's existing businesses as well as the mud-processing industry and competitors. The case... View Details
Keywords: Cost vs Benefits; Decisions; Forecasting and Prediction; Cost; Analytics and Data Science; Market Entry and Exit; Competition
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Porter, Michael E., and George S. Yip. "Sweco, Inc. (A)." Harvard Business School Case 380-167, March 1980. (Revised February 1987.)
  • January 2021
  • Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
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Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
  • May 2005
  • Exercise

Forecasting the Adoption of E-books

By: Elie Ofek
Gives students an opportunity to understand the challenges inherent in forecasting the diffusions of innovations. Provides data for forecasting the adoption of electronic books. Students are encouraged to use the Bass Model framework, while being cognizant of its... View Details
Keywords: Forecasting and Prediction; Framework; Books; Analytics and Data Science; Product Launch; Internet and the Web; Technology Adoption
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Ofek, Elie. "Forecasting the Adoption of E-books." Harvard Business School Exercise 505-063, May 2005.
  • 15 May 2018
  • First Look

New Research and Ideas, May 15, 2018

suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I employ? Machine learning, data science, big data, and predictive analytics all... View Details
Keywords: Dina Gerdeman
  • 29 Jun 2015
  • HBS Case

Consumer-centered Health Care Depends on Accessible Medical Records

predict the health care needs of patients, continually enhance patient outcomes, and drive transformative solutions to import community access to health care. For example, using patient data including emergency department visits and... View Details
Keywords: by Dina Gerdeman; Health; Technology
  • 22 Nov 2016
  • First Look

November 22, 2016

and Ananth Raman Abstract—To set inventory service levels, suppliers must understand how changes in inventory service level affect demand. We build on prior research, which uses analytical models and laboratory experiments to study the... View Details
Keywords: Sean Silverthorne
  • 09 Oct 2019
  • Research & Ideas

For Better Ideas, Bring the Right People to the Brainstorm

were worse in quality, scoring 25 percent lower, on average. That makes sense, Koning says. Introverts are generally more thoughtful and analytical but less likely to share information with others. That lack of feedback can sow doubt in... View Details
Keywords: by Michael Blanding
  • 08 Jun 2010
  • First Look

First Look: June 8

  PublicationsThe New Science of Retailing: How Analytics Are Transforming the Supply Chain and Improving Performance Authors:Marshall Fisher and Ananth Raman Publication:Harvard Business School Press, 2010 Abstract Retailers today are... View Details
Keywords: Martha Lagace
  • October 1993 (Revised August 1996)
  • Background Note

Forecasting with Regression Analysis

By: Arthur Schleifer Jr.
Provides an example of regression in one of its most important roles. Relating probabilistic forecasts based on past data to decision analysis. View Details
Keywords: Management Analysis, Tools, and Techniques; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods
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Schleifer, Arthur, Jr. "Forecasting with Regression Analysis." Harvard Business School Background Note 894-007, October 1993. (Revised August 1996.)
  • 19 Jul 2016
  • First Look

July 19, 2016

might be appropriate to redesign (“refactor”) a system, to reduce what has been called “architectural debt.” Unfortunately, we lack robust data by which to evaluate the relationship between architectural design choices and system maintenance costs, and hence to View Details
Keywords: Sean Silverthorne
  • November 2001 (Revised August 2005)
  • Case

BigEast Bank (A): Credit Card Approval

By: Frances X. Frei and Dennis Campbell
BigEast is considering adopting a relationship-centric view in its credit card approval process. This would shift the bank's current practice of analyzing applications based on the merits of a single product to one where the customer's existing relationship is... View Details
Keywords: Customers; Forecasting and Prediction; Banks and Banking; Analytics and Data Science; Managerial Roles; Relationships; Adoption; Banking Industry
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Frei, Frances X., and Dennis Campbell. "BigEast Bank (A): Credit Card Approval." Harvard Business School Case 602-098, November 2001. (Revised August 2005.)
  • 16 Jun 2003
  • Research & Ideas

Historical Perspective: Levitt Shaped the Debate

starting with Levitt's prediction of a global marketplace ruled by standardized products sold at low prices. "Everyone says the article is wrong, and everyone reads it twenty years later. Why?" asked Abdelal. Tedlow portrayed... View Details
Keywords: by Sean Silverthorne
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