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  • All HBS Web  (3,299)
    • News  (517)
    • Research  (2,507)
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  • Faculty Publications  (1,616)

Show Results For

  • All HBS Web  (3,299)
    • News  (517)
    • Research  (2,507)
    • Events  (43)
    • Multimedia  (18)
  • Faculty Publications  (1,616)
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  • Web

Frequently Asked Questions | HBS Online

critical ratios. The course concludes with an introduction to forecasting and valuation. Financial Accounting was developed by leading Harvard Business School faculty and is... View Details
  • 01 Mar 2011
  • News

Faculty Research Online

The valuation of forecasted cash flows can be an inaccurate process, especially when the forecasts are created by optimists who neglect to consider worst-case scenarios. In this working paper, Willard... View Details
Keywords: Colleges, Universities, and Professional Schools; Colleges, Universities, and Professional Schools
  • Research Summary

Overview

By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
  • 01 Mar 2008
  • News

THE 6 MYTHS OF CREATIVITY

that they’ll make a cognitive association that incubates overnight and shows up as a creative idea the next day. One day’s happiness often predicts the next day’s creativity. Competition Beats Collaboration.... View Details
Keywords: Arts, Sports, Language, Driving, and Other Schools; Arts, Sports, Language, Driving, and Other Schools; Arts, Sports, Language, Driving, and Other Schools
  • August 2015 (Revised January 2017)
  • Technical Note

From Correlation to Causation

By: Feng Zhu and Karim R. Lakhani
To make sound business decisions, managers must be comfortable with the concepts of correlation and causation. This background note provides an overview of correlation and causation using examples and explains why the former does not imply the latter. It also describes... View Details
Keywords: Statistics; Regression; Data Analytics; Decisions; Forecasting and Prediction; Judgments
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Zhu, Feng, and Karim R. Lakhani. "From Correlation to Causation." Harvard Business School Technical Note 616-009, August 2015. (Revised January 2017.)
  • Web

HBS - Financials | Supplemental Financial Information

Consistent with the long-term goal of preserving the endowment’s value in real terms (after inflation) and generating a predictable stream of available income, the University’s targeted annual payout ratio... View Details
  • May 2007 (Revised April 2008)
  • Case

Tiger-Tread

By: Rohit Deshpande and Richard Cardozo
Describes an innovative product launch for which a marketing plan and a breakeven analysis are needed. To introduce students to breakeven analysis and the essentials of developing a marketing plan. View Details
Keywords: Forecasting and Prediction; Innovation and Invention; Product Launch; Planning
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Deshpande, Rohit, and Richard Cardozo. "Tiger-Tread." Harvard Business School Case 507-077, May 2007. (Revised April 2008.)
  • May 1990
  • Background Note

Conjoint Analysis: A Manager's Guide

By: Robert J. Dolan
Presents a non-technical description of the conjoint analysis methodology. Discusses the process by which such a study is done and cites areas of application. View Details
Keywords: Marketing; Mathematical Methods; Forecasting and Prediction
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Dolan, Robert J. "Conjoint Analysis: A Manager's Guide." Harvard Business School Background Note 590-059, May 1990.
  • March 1996
  • Case

African Communications Group

Describes the opportunities that confront the African Communications Group, an entrepreneurial organization that plans to introduce a wireless pay-phone system in Tanzania. Provides a foundation for the analysis of value creation and of value capture. The possibility... View Details
Keywords: Value Creation; Competition; Entrepreneurship; Forecasting and Prediction; Wireless Technology; Telecommunications Industry; Tanzania
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McGahan, Anita M., and Dale Coxe. "African Communications Group." Harvard Business School Case 796-128, March 1996.
  • 2023
  • Working Paper

Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness

By: Neil Menghani, Edward McFowland III and Daniel B. Neill
In this paper, we develop a new criterion, "insufficiently justified disparate impact" (IJDI), for assessing whether recommendations (binarized predictions) made by an algorithmic decision support tool are fair. Our novel, utility-based IJDI criterion evaluates false... View Details
Keywords: AI and Machine Learning; Forecasting and Prediction; Prejudice and Bias
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Menghani, Neil, Edward McFowland III, and Daniel B. Neill. "Insufficiently Justified Disparate Impact: A New Criterion for Subgroup Fairness." Working Paper, June 2023.
  • 2010
  • Working Paper

A New Model of Leadership (PDF File of Keynote Slides)

By: Michael C. Jensen and Allan L. Scherr
In this paper we provide a new definition of leadership that gives organizations and individuals access to new power, performance and accomplishment. In our model leadership consists of four critical elements The creation of a vision for the future that represents a... View Details
Keywords: Forecasting and Prediction; Knowledge Dissemination; Leadership; Goals and Objectives; System
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Jensen, Michael C., and Allan L. Scherr. "A New Model of Leadership (PDF File of Keynote Slides)." Harvard Business School Working Paper, No. 07-107, February 2010.
  • 18 Oct 2004
  • Research & Ideas

The Bias of Wall Street Analysts

changes in net financing. The prediction was that all analysts would be more optimistic for firms that were issuing debt and equity securities than for firms that were either not engaging in such activity or... View Details
Keywords: by Ann Cullen; Financial Services
  • 02 Jun 2010
  • First Look

First Look: June 2

stick with practicing medicine. This essay argues that physicians currently in practice could be equipped over time with the management skill necessary to develop and implement new models of primary care. A Choice View Details
Keywords: Martha Lagace
  • 01 Mar 2018
  • News

Every Trick in the Book

’80s—moving it from the city streets to the suburban shopping center, standardizing the book-buying experience, and starting the familiar race to big, bigger, and biggest, and... View Details
Keywords: April White
  • August 2018 (Revised September 2018)
  • Supplement

LendingClub (C): Gradient Boosting & Payoff Matrix

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) and (B) cases. In this case students follow Emily Figel as she builds an even more sophisticated model using the gradient boosted tree method to predict, with some probability, whether a borrower would repay or default... View Details
Keywords: Data Analytics; Data Science; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (C): Gradient Boosting & Payoff Matrix." Harvard Business School Supplement 119-022, August 2018. (Revised September 2018.)
  • June 1990 (Revised January 1993)
  • Case

Dynatronics, Inc. (Abridged)

By: Thomas R. Piper
Provides an opportunity to evaluate an investment in a new product line in strategic, competitive, organizational, and economic terms. The economic analysis involves an estimation of the relevant cash flows and discounting them at an appropriate hurdle rate. View Details
Keywords: Product; Forecasting and Prediction; Investment; Capital Budgeting
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Piper, Thomas R. "Dynatronics, Inc. (Abridged)." Harvard Business School Case 290-064, June 1990. (Revised January 1993.)
  • Person Page

Course Development

By: Debora L. Spar

Managing International Trade and Investment

Despite the ease with which it is often conducted, doing business across borders is not the same as doing it at home. Rather, it entails a whole new set of managerial challenges: re-assessing competitive... View Details

  • August 2018 (Revised September 2018)
  • Supplement

LendingClub (B): Decision Trees & Random Forests

By: Srikant M. Datar and Caitlin N. Bowler
This case builds directly on the LendingClub (A) case. In this case students follow Emily Figel as she builds two tree-based models using historical LendingClub data to predict, with some probability, whether borrower will repay or default on his loan.
... View Details
Keywords: Data Science; Data Analytics; Decision Trees; Investment; Financing and Loans; Analytics and Data Science; Analysis; Forecasting and Prediction
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Datar, Srikant M., and Caitlin N. Bowler. "LendingClub (B): Decision Trees & Random Forests." Harvard Business School Supplement 119-021, August 2018. (Revised September 2018.)
  • April 1998
  • Case

X-IT Products, LLC

By: Marco Iansiti, Myra M. Hart and Barbara Feinberg
Two entrepreneurs, Andrew Ive and Aldo DiBerlardino, are poised to launch their first product. The decisions they make will have a crucial impact on the future of their company. View Details
Keywords: Forecasting and Prediction; Entrepreneurship; Product Launch; Outcome or Result
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Iansiti, Marco, Myra M. Hart, and Barbara Feinberg. "X-IT Products, LLC." Harvard Business School Case 698-084, April 1998.
  • June 2016 (Revised May 2017)
  • Case

Searching for a New CEO: TiVo 2016

By: David B. Yoffie
In 2015, TiVo initiated a search for a new CEO. This case provides a profile of the CEO search and background on the company. View Details
Keywords: Technological Change; Succession Planning; Information Technology; Strategy; Strategic Planning; Management Succession; Forecasting and Prediction; Change; Entertainment and Recreation Industry; Entertainment and Recreation Industry
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Yoffie, David B. "Searching for a New CEO: TiVo 2016." Harvard Business School Case 716-470, June 2016. (Revised May 2017.)
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