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  • All HBS Web  (2,939)
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  • 2017
  • Working Paper

Investment Timing with Costly Search for Financing

By: Samuel Antill
I develop a dynamic model of investment timing in which firms must first choose when to search for external financing. Search is costly and the arrival of investors is uncertain, leading to delay in financing and investment. Depending on parameters, my model can... View Details
Keywords: Real Options; Search And Bargaining; Time-varying Financial Conditions; Investment; Venture Capital; Mathematical Methods
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Antill, Samuel. "Investment Timing with Costly Search for Financing." Working Paper, December 2017.
  • December 2015
  • Article

What Is Disruptive Innovation?

By: Clayton M. Christensen, Michael Raynor and Rory McDonald
For the past 20 years, the theory of disruptive innovation has been enormously influential in business circles and a powerful tool for predicting which industry entrants will succeed. Unfortunately, the theory has also been widely misunderstood, and the "disruptive"... View Details
Keywords: Disruptive Innovation; Theory
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Christensen, Clayton M., Michael Raynor, and Rory McDonald. "What Is Disruptive Innovation?" Harvard Business Review 93, no. 12 (December 2015): 44–53.
  • 2014
  • Working Paper

Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis

By: Robert Lagerstrom, Carliss Y. Baldwin, Alan MacCormack and David Dreyfus
In this paper, we test a method for visualizing and measuring software portfolio architectures and use our measures to predict the costs of architectural change. Our data is drawn from a biopharmaceutical company, comprising 407 architectural components with 1,157... View Details
Keywords: Design Structure Matrices; Software Architecture; Flexibility; Software Application Portfolio; Complexity; Applications and Software; Forecasting and Prediction
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Lagerstrom, Robert, Carliss Y. Baldwin, Alan MacCormack, and David Dreyfus. "Visualizing and Measuring Software Portfolio Architectures: A Flexibility Analysis." Harvard Business School Working Paper, No. 14-083, March 2014.
  • December 2020 (Revised March 2022)
  • Teaching Note

Forecasting ClimaCell

By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
Keywords: Weather; Forecasting and Prediction; Business Startups; Research and Development; Finance; Cost vs Benefits; Decision Making; Strategy; United States; Israel; Massachusetts; Colorado
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Krieger, Joshua Lev, Christopher Stanton, and James Barnett. "Forecasting ClimaCell." Harvard Business School Teaching Note 821-008, December 2020. (Revised March 2022.)
  • 08 Dec 2010
  • Working Paper Summaries

Decoding Inside Information

Keywords: by Lauren Cohen, Christopher Malloy & Lukasz Pomorski; Financial Services
  • Summer 2021
  • Article

Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply

By: Roberto Fontana and Shane Greenstein
In this paper we examine Intel’s launch of Centrino and interpret it as platform leaders attempt to restructure a supply chain. We provide a narrative of key actions and how they coordinated changes and offer a framework of the predictable consequences for... View Details
Keywords: Mobile and Wireless Technology; Product Launch; Supply Chain; Restructuring; Framework
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Fontana, Roberto, and Shane Greenstein. "Platform Leadership and Supply Chains: Intel, Centrino, and the Restructuring of Wi-Fi Supply." Journal of Economics & Management Strategy 30, no. 2 (Summer 2021): 259–286.
  • July – August 2008
  • Article

When Virtue Is a Vice

By: Anat Keinan and Ran Kivetz
Choosing duty over pleasure today can cause regret down the road—whereas regret over the reverse is fleeting. Marketers of luxury products and services should consider prompting customers to predict their future feelings about choices made now. View Details
Keywords: Decision Choices and Conditions; Forecasting and Prediction; Moral Sensibility; Marketing Strategy; Consumer Behavior; Emotions; Luxury
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Keinan, Anat, and Ran Kivetz. "When Virtue Is a Vice." HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 22.
  • 2023
  • Working Paper

Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks

By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to understand the role of employee connections at all job levels in... View Details
Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
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Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
  • 2024
  • Working Paper

Migration, Climate Similarity, and the Consequences of Climate Mismatch

By: Marguerite Obolensky, Marco Tabellini and Charles Taylor
This paper examines the concept of “climate matching” in migration—the idea that migrants seek out destinations with familiar climates. Focusing on the US, we document that temperature distance between origin and destination predicts the distribution of migrants across... View Details
Keywords: Migration; Climate; Immigration; Residency; Weather; Ethnicity; Climate Change; Geographic Location; Policy; United States
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Obolensky, Marguerite, Marco Tabellini, and Charles Taylor. "Migration, Climate Similarity, and the Consequences of Climate Mismatch." Harvard Business School Working Paper, No. 24-031, November 2023. (Revised November 2024. Also available from VoxEU, e-axes, and HBS Working Knowledge.)
  • 2024
  • Working Paper

Finance Without Exotic Risk

By: Pedro Bordalo, Nicola Gennaioli, Rafael La Porta and Andrei Shleifer
We address the joint hypothesis problem in cross-sectional asset pricing by using measured analyst expectations of earnings growth. We construct a firm-level measure of Expectations Based Returns (EBRs) that uses analyst forecast errors and revisions and shuts down any... View Details
Keywords: Investment Return; Financial Markets; Behavioral Finance; Risk and Uncertainty
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Bordalo, Pedro, Nicola Gennaioli, Rafael La Porta, and Andrei Shleifer. "Finance Without Exotic Risk." NBER Working Paper Series, No. 33004, September 2024.
  • March 2024
  • Teaching Note

Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions

By: John A. Deighton and Leora Kornfeld
Teaching Note for HBS Case No. 922-039. Digital disruption is challenging the hospitality industry. Traditional hotels face competition from platforms, most visibly Airbnb but also the homeshare divisions of online travel agencies such as Expedia and Booking.com, that... View Details
Keywords: Digital Platforms; Disruptive Innovation; Competition; Market Participation; Accommodations Industry
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Deighton, John A., and Leora Kornfeld. "Sonder Holdings Inc.: Using Technology to Solve Hospitality's Frictions." Harvard Business School Teaching Note 924-302, March 2024.
  • January–February 2023
  • Article

Forecasting COVID-19 and Analyzing the Effect of Government Interventions

By: Michael Lingzhi Li, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis and Dimitris Bertsimas
We developed DELPHI, a novel epidemiological model for predicting detected cases and deaths in the prevaccination era of the COVID-19 pandemic. The model allows for underdetection of infections and effects of government interventions. We have applied DELPHI across more... View Details
Keywords: COVID-19 Pandemic; Epidemics; Analytics and Data Science; Health Pandemics; AI and Machine Learning; Forecasting and Prediction
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Li, Michael Lingzhi, Hamza Tazi Bouardi, Omar Skali Lami, Thomas Trikalinos, Nikolaos Trichakis, and Dimitris Bertsimas. "Forecasting COVID-19 and Analyzing the Effect of Government Interventions." Operations Research 71, no. 1 (January–February 2023): 184–201.
  • November 2017 (Revised October 2018)
  • Case

Brandless: Disrupting Consumer Packaged Goods

By: Jill Avery
Brandless, an online direct-to-consumer seller of upscale private-label consumer packaged goods, offered consumers a limited assortment of values-conscious products delivered directly to their homes with the simplicity of one fixed $3 price point that promised an... View Details
Keywords: Brand; Brand Management; Retailing; Retailing Industry; Private Label; Direct To Consumer Marketing; Ecommerce; Digital Marketing; Consumer Packaged Goods; Startup; Marketing; Marketing Strategy; Disruption; Food; Product Marketing; Marketing Channels; Consumer Behavior; Brands and Branding; Venture Capital; E-commerce; Consumer Products Industry; Beauty and Cosmetics Industry; Food and Beverage Industry; Retail Industry; United States; North America
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Avery, Jill. "Brandless: Disrupting Consumer Packaged Goods." Harvard Business School Case 518-044, November 2017. (Revised October 2018.)
  • August 2003
  • Article

When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Keywords: Stocks; Price; Investment; Equity; Forecasting and Prediction; Rank and Position; Markets
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Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity-Dependent Firms." Quarterly Journal of Economics 118, no. 3 (August 2003): 969–1006.
  • April 2015
  • Case

Carolinas HealthCare System: Consumer Analytics

By: John A. Quelch and Margaret L. Rodriguez
In 2014, Dr. Michael Dulin, chief clinical officer for analytics and outcomes research and head of the Dickson Advanced Analytics (DA2) group at Carolinas HealthCare System (CHS), successfully unified all analytics talent and resources into one group over a three year... View Details
Keywords: Consumer Segmentation; Big Data; Management Information Systems; Hospital Management; Health Care and Treatment; Marketing; Segmentation; Analytics and Data Science; Information Management; Information Technology; Health; Health Industry; United States
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Quelch, John A., and Margaret L. Rodriguez. "Carolinas HealthCare System: Consumer Analytics." Harvard Business School Case 515-060, April 2015.
  • March 2002 (Revised December 2002)
  • Background Note

A Note on Corporate Venturing and New Business Creation

By: David A. Garvin
Presents an introduction and overview of corporate venturing. Describes the need for companies to create new businesses, the stages in the process, predictable problems and challenges, the strengths and weaknesses of alternative approaches such as internal venture... View Details
Keywords: Business Plan; Business Startups; Forecasting and Prediction; Venture Capital; Problems and Challenges
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Garvin, David A. "A Note on Corporate Venturing and New Business Creation." Harvard Business School Background Note 302-091, March 2002. (Revised December 2002.)
  • October–December 2022
  • Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
  • 2019
  • Book

The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power

By: Shoshana Zuboff
In this masterwork of original thinking and research, Shoshana Zuboff provides startling insights into the phenomenon that she has named surveillance capitalism. The stakes could not be higher: a global architecture of behavior modification threatens human nature in... View Details
Keywords: Consumer Profiling; Consumer Behavior; Forecasting and Prediction; Information Technology; Power and Influence; Ethics; Society; Transformation
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Zuboff, Shoshana. The Age of Surveillance Capitalism: The Fight for a Human Future at the New Frontier of Power. New York: PublicAffairs, 2019.
  • October 2000
  • Article

The Equity Share in New Issues and Aggregate Stock Returns

By: Malcolm Baker and Jeffrey Wurgler
The share of equity issues in total new equity and debt issues is a strong predictor of U.S. stock market returns between 1928 and 1997. In particular, firms issue more equity than debt just before periods of low market returns. The equity share in new issues has... View Details
Keywords: Equity; Borrowing and Debt; Stocks; Markets; Debt Securities; Forecasting and Prediction; Accounting Industry; United States
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Baker, Malcolm, and Jeffrey Wurgler. "The Equity Share in New Issues and Aggregate Stock Returns." Journal of Finance 55, no. 5 (October 2000): 2219–57.
  • Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
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Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
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