Publications

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18 Dec 2018
News

Why Some Platforms Thrive and Others Don’t

March 2011 (Revised December 2017)
Background Note

The IMF: The Washington Consensus, the Critics, and the New Challenges as China Rises

By: Rafael M. Di Tella, Natalie Kindred and Monica Baraldi

How the International Monetary Fund (IMF) defines and carries out its mandate has evolved considerably since 1944, when it was founded to serve a vital but narrow function in maintaining the global foreign exchange system and thus enabling international trade. This... View Details

Keywords: History; International Finance; Globalized Economies and Regions; Trade; Financial Institutions; Macroeconomics; Financial Services Industry

2019
Working Paper

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Alex Burnap, Tong Guo, Dokyun Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, improved medical diagnostics, and machine translation, but can it improve marketing decisions? It can. Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to rich media... View Details

Keywords: Machine Learning; Technological Innovation; Marketing; AI and Machine Learning

SSRN

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April 15, 2021
Article

Remote Patient Monitoring—Overdue or Overused?

By: Keizra Mecklai, Nicholas Smith, Ariel Dora Stern and Daniel B. Kramer

As the use of remote patient monitoring services grows—driven by health care limitations imposed by the COVID-19 pandemic—clinicians, payers, and patients face important questions regarding the volume, value, and appropriate use of this care model. View Details

Keywords: Health Care and Treatment; Information Technology

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Read Now

June 2001 (Revised March 2003)
Case

Alibris (B)

Takes place more than two years after the (A) case. Alibris has weathered the storms and has built a popular, growing business. As the Christmas season of 2000 approaches, the company is confronted with two IT projects that both seem urgent and important. The first is... View Details

Keywords: Resource Allocation; Information Technology; Service Operations; Competitive Advantage; Information Management; Service Industry

14 Aug 2019
Sharpening Your Skills

The Manager's Guide to Leveraging Disruption

and the orchestrator. How Big Companies Can Outrun Disruption Large companies can be easy targets for disruption, but there are steps that can keep them ahead of the innovation curve. Rule 1: Don't emulate startup cultures. What’s Really... View Details

Keywords: by Sean Silverthorne

March 2000 (Revised February 2005)
Case

Thomas Weisel Partners (A)

By: Thomas J. DeLong, Ashish Nanda, Boris Groysberg, Matthew C. Lieb and Scott D Landry

Thomas Weisel, longtime leader of Montgomery Securities, realizes that the sale of Montgomery to NationsBank was the biggest mistake of his life. After his exit from NationsBanc Montgomery Securities, Weisel develops a business plan for a new merchant bank, Thomas... View Details

Keywords: Competitive Strategy; Business Plan; Financial Institutions; Management Teams; Financial Services Industry

April 2006 (Revised April 2007)
Case

Endeca Technologies: New Growth Opportunities

By: Paul A. Gompers and Kristin Perry

Steve Papa, CEO of Endeca Technologies, must decide whether to expand into a new market with a new application of his company's technology. Endeca has experienced significant success with its information access software in the online retail industry, and in September... View Details

Keywords: Decision Choices and Conditions; Market Entry and Exit; Production; Organizational Structure; Partners and Partnerships; Opportunities; Expansion; Internet and the Web; Applications and Software; Information Technology Industry

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2024
Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang

We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details

Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics

SSRN

17 Sep 2024
HBS Case

The Climate Targets Leaders Need to Know as Regulations Loom

As investor pressure mounts on companies to show their environmental impacts, leaders are encountering an unwieldy tangle of terms and approaches. Climate accounting basics and a dictionary of sorts can help demystify the calculations and voluntary targets that... View Details

Keywords: by Rachel Layne

December 1999 (Revised November 2000)
Background Note

Pricing and Market Making on the Internet

By: Robert J. Dolan and Youngme E. Moon

Considers the impact of the Internet on how market exchanges will take place. Discusses the role of shopping agents and alternatives to fixed prices such as negotiations, auctions, and exchanges. View Details

Keywords: Price; Marketing Strategy; Auctions; Digital Platforms; Negotiation; Internet and the Web

18 Jun 2020
Blog Post

Black MBA Students Pen Letters to the HBS Community: Letter 3/5

justified slavery, and created institutional and structural racism. I know YOU specifically didn’t do this, but I think this point illustrates that you, too, should have skin in the game in terms of... View Details

16 Sep 2015
News

Can Applied Economics Save Homeless Puppies?

March 2022 (Revised January 2025)
Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details

Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis