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Publications

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  • All HBS Web  (1,277)
    • News  (115)
    • Research  (1,050)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (803)

Show Results For

  • All HBS Web  (1,277)
    • News  (115)
    • Research  (1,050)
    • Events  (3)
    • Multimedia  (6)
  • Faculty Publications  (803)
← Page 50 of 1,277 Results →
  • 28 Apr 2021
  • Blog Post

Alumni Spotlight: Cissy Chen (MBA 2019)

similar companies in their industry and recommended areas of expense adjustments that would be of help. I also quantified the environmental impact on the company’s supply chain with a proposal that they make certain adjustments that would positively affect their... View Details
  • December 2021
  • Article

Entrepreneurial Learning and Strategic Foresight

By: Aticus Peterson and Andy Wu
We study how learning by experience across projects affects an entrepreneur's strategic foresight. In a quantitative study of 314 entrepreneurs across 722 crowdfunded projects supplemented with a program of qualitative interviews, we counterintuitively find that... View Details
Keywords: Crowdfunding; Experience; Prediction; Timeline; Complexity; Entrepreneurship; Learning; Experience and Expertise; Forecasting and Prediction
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Peterson, Aticus, and Andy Wu. "Entrepreneurial Learning and Strategic Foresight." Art. 1. Strategic Management Journal 42, no. 13 (December 2021): 2357–2388. (Lead article.)
  • June 2012
  • Article

Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes

By: Robyn A. LeBoeuf and Michael I. Norton
We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
Keywords: Causal Inference; Product; Forecasting and Prediction; Motivation and Incentives; Failure
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LeBoeuf, Robyn A., and Michael I. Norton. "Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes." Journal of Consumer Research 39, no. 1 (June 2012): 128–141.
  • May 1987 (Revised February 2000)
  • Case

Codman & Shurtleff, Inc.: Planning and Control System

By: Robert L. Simons
Detailed description of the planning and control systems in use at Johnson & Johnson. Focuses on the actions of managers in one subsidiary in revising budget targets. Illustrates intensive strategic planning and financial planning process in a large, decentralized... View Details
Keywords: Strategic Planning; Planning; Forecasting and Prediction; Accounting Audits; Budgets and Budgeting; Business Strategy; Financial Management; Business or Company Management; Management Systems; Public Administration Industry; Financial Services Industry
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Simons, Robert L. "Codman & Shurtleff, Inc.: Planning and Control System." Harvard Business School Case 187-081, May 1987. (Revised February 2000.)
  • 24 Aug 2020
  • Blog Post

My Journey to Joining the first MS/MBA Biotechnology: Life Sciences Cohort

forecasting expected revenues, to developing an equity investing plan for a major pharmaceutical company and performing due diligence on M&A targets. I also spent four months on secondment within a pharma company's Commercial Oncology... View Details
  • 22 Feb 2022
  • Research & Ideas

When Will the Hot Housing Market Finally Start to Cool?

only 910,000 homes on the market remained unsold nationwide, an all-time low. And Zillow, the online real estate sales platform, recently revised its 2022 forecast upward, predicting home prices will surge 16 percent nationwide. The... View Details
Keywords: by Christine Pazzanese, Harvard Gazette
  • 05 Nov 2012
  • Research & Ideas

What Wall Street Doesn’t Understand About International Trade

'non-strategic traders,' " Cohen says. Historically, Wall Street has failed to consider the local ethnic population trading strategy when assessing the value of a firm. In fact, the researchers found that analysts are significantly less accurate in their earnings View Details
Keywords: by Carmen Nobel
  • April 2012
  • Article

Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures

By: Dennis Campbell, F. Asis Martinez-Jerez and Peter Tufano
Using a new database, we document the factors that relate to the extent of involuntary consumer bank account closure resulting from excessive overdraft activity. Consumers who have accounts involuntarily closed for overdraft activity may have limited or no access to... View Details
Keywords: Mathematical Methods; Customers; Social Issues; Outcome or Result; Budgets and Budgeting; Forecasting and Prediction; Competition; Banks and Banking; Policy; Personal Characteristics; Credit; Employment; United States
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Campbell, Dennis, F. Asis Martinez-Jerez, and Peter Tufano. "Bouncing Out of the Banking System: An Empirical Analysis of Involuntary Bank Account Closures." Journal of Banking & Finance 36, no. 4 (April 2012): 1224–1235.
  • September 2011
  • Supplement

TopCoder (B)

By: Karim R. Lakhani, Eric Lonstein and Stephanie Pokrywa
Metrology plays a key role in the manufacture of mechanical components. Traditionally it is used extensively in a pre-process stage where a manufacturer does process planning, design, and ramp-up, and in post-process off-line inspection to establish proof of quality.... View Details
Keywords: Industry Growth; Forecasting and Prediction; Change Management; Production; Machinery and Machining; Planning; Quality; Competition; Diversification; Technology Adoption; Measurement and Metrics; Product Design; Manufacturing Industry
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Lakhani, Karim R., Eric Lonstein, and Stephanie Pokrywa. "TopCoder (B)." Harvard Business School Supplement 612-044, September 2011.
  • March 2017 (Revised March 2022)
  • Case

Flashion: Art vs. Science in Fashion Retailing

By: Kris Ferreira and Karim R. Lakhani
Kate Wilson, retail analytics manager at Flashion, a fashion flash-sale site, is tasked with developing analytics to optimize pricing for first-exposure products on the site. Many in the industry have relied on years of experience and intuition to determine pricing—can... View Details
Keywords: Analytics; Pricing; Data; Service Operations; Forecasting and Prediction; Internet and the Web; Technology Adoption; Mathematical Methods; Decision Making; E-commerce; Retail Industry; Fashion Industry; United States
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Ferreira, Kris, and Karim R. Lakhani. "Flashion: Art vs. Science in Fashion Retailing." Harvard Business School Case 617-059, March 2017. (Revised March 2022.)
  • December 2010
  • Article

Altruistic Dynamic Pricing with Customer Regret

By: Julio J. Rotemberg
A model is considered where firms internalize the regret costs that consumers experience when they see an unexpected price change. Regret costs are assumed to be increasing in the size of price changes and this can explain why the size of price increases is less... View Details
Keywords: Cost; Price; Change; Inflation and Deflation; Cost Management; Customers; Practice; Announcements; Forecasting and Prediction
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Rotemberg, Julio J. "Altruistic Dynamic Pricing with Customer Regret." Scandinavian Journal of Economics 112, no. 4 (December 2010).
  • August 2013
  • Article

The Price of Diversifiable Risk in Venture Capital and Private Equity

By: Michael Ewens, Charles Jones and Matthew Rhodes-Kropf
This paper explores the private equity and venture capital (VC) markets and extends the standard principal-agent problem between the investors and venture capitalist to show how it alters the interaction between the venture capitalist and the entrepreneur. Since the... View Details
Keywords: Price; Risk and Uncertainty; Venture Capital; Private Equity; Contracts; Investment; Competition; Agency Theory; Investment Return; Forecasting and Prediction; Theory; Diversification
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Ewens, Michael, Charles Jones, and Matthew Rhodes-Kropf. "The Price of Diversifiable Risk in Venture Capital and Private Equity." Review of Financial Studies 26, no. 8 (August 2013): 1854–1889.
  • February 2024
  • Supplement

ReNew (B): A New Direction

By: Gunnar Trumbull and Malini Sen
The global renewables sector was in a slump, but the Indian market was booming. India’s largest renewable electricity generator, ReNew, faced a dilemma: it traded on the Nasdaq in New York, but saw huge opportunity in the Indian market. In response, CEO Sumant Sinha... View Details
Keywords: Energy Generation; Renewable Energy; Entrepreneurship; Forecasting and Prediction; Trends; Transformation; Private Ownership; Environmental Sustainability; Mission and Purpose; Expansion; Market Entry and Exit; Energy Industry; Asia; India
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Trumbull, Gunnar, and Malini Sen. "ReNew (B): A New Direction." Harvard Business School Supplement 724-032, February 2024.
  • January–February 2023
  • Article

Data-Driven COVID-19 Vaccine Development for Janssen

By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
  • July 2019
  • Article

I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice

By: Kate Barasz, Tami Kim and Ioannis Evangelidis
People often speculate about why others make the choices they do. This paper investigates how such inferences are formed as a function of what is chosen. Specifically, when observers encounter someone else's choice (e.g., of political candidate), they use the chosen... View Details
Keywords: Self-other Difference; Social Perception; Inference-making; Preferences; Consumer Behavior; Prediction; Prediction Error; Decision Choices and Conditions; Perception; Behavior; Forecasting and Prediction
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Barasz, Kate, Tami Kim, and Ioannis Evangelidis. "I Know Why You Voted for Trump: (Over)inferring Motives Based on Choice." Special Issue on The Cognitive Science of Political Thought. Cognition 188 (July 2019): 85–97.
  • October 2013
  • Article

How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies

By: Phanish Puranam, Ranjay Gulati and Sourav Bhattacharya
While many theories of the firm seek to explain when firms make rather than buy, in practice, firms often make and buy the same input—they engage in plural sourcing. We argue that explaining the mix of external procurement and internal sourcing for the same input... View Details
Keywords: Supply Chain; Forecasting and Prediction; Framework; Prejudice and Bias; Mathematical Methods
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Puranam, Phanish, Ranjay Gulati, and Sourav Bhattacharya. "How Much to Make and How Much to Buy? An Analysis of Optimal Plural Sourcing Strategies." Strategic Management Journal 34, no. 10 (October 2013): 1145–1161.
  • May 2006
  • Case

Nokia in 2003

By: Paul M. Healy
Examines the challenges facing a money manager who owns stock in Nokia, the leading wireless handset provider. Two analysts covering the stock make very different predictions about the economies of the industry, Nokia's future performance, and stock recommendations.... View Details
Keywords: Financial Reporting; Forecasting and Prediction; Performance Effectiveness; Performance Evaluation; Problems and Challenges; Electronics Industry
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Healy, Paul M. "Nokia in 2003." Harvard Business School Case 106-067, May 2006.
  • Article

A Choice Prediction Competition for Market Entry Games: An Introduction

By: Ido Erev, Eyal Ert and Alvin E. Roth
A choice prediction competition is organized that focuses on decisions from experience in market entry games (http://sites.google.com/site/gpredcomp/ and http://www.mdpi.com/si/games/predict-behavior/). The competition is based on two experiments: An estimation... View Details
Keywords: Experience and Expertise; Decision Choices and Conditions; Forecasting and Prediction; Learning; Market Entry and Exit; Game Theory; Behavior; Competition
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Erev, Ido, Eyal Ert, and Alvin E. Roth. "A Choice Prediction Competition for Market Entry Games: An Introduction." Special Issue on Predicting Behavior in Games. Games 1, no. 2 (June 2010): 117–136.
  • October 2007
  • Article

Supply and Demand Shifts in the Shorting Market

By: Lauren Cohen, Karl B. Diether and Christopher J. Malloy
Using proprietary data on stock loan fees and quantities from a large institutional investor, we examine the link between the shorting market and stock prices. Employing a unique identification strategy, we isolate shifts in the supply and demand for shorting. We find... View Details
Keywords: Analytics and Data Science; Stocks; Financing and Loans; Price; Strategy; Demand and Consumers; Forecasting and Prediction; Investment Return; Markets; Information
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Cohen, Lauren, Karl B. Diether, and Christopher J. Malloy. "Supply and Demand Shifts in the Shorting Market." Journal of Finance 62, no. 5 (October 2007): 2061–2096. (Winner of Smith Breeden Prize for the Best Paper Published in the Journal of Finance in Asset Pricing (Distinguished Paper) 2007.)
  • 2010
  • Working Paper

The Unbundling of Advertising Agency Services: An Economic Analysis

By: Mohammad Arzaghi, Ernst R. Berndt, James C. Davis and Alvin J. Silk
We address a longstanding puzzle surrounding the unbundling of services occurring over several decades in the U.S. advertising agency industry: What accounts for the shift from bundling to unbundling of services and the slow pace of change? Using Evans and Salinger's... View Details
Keywords: Advertising; Change; Forecasting and Prediction; Cost; Price; Analytics and Data Science; Surveys; Marketing Strategy; Media; Service Operations; Agency Theory; Mathematical Methods; Advertising Industry; United States
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Arzaghi, Mohammad, Ernst R. Berndt, James C. Davis, and Alvin J. Silk. "The Unbundling of Advertising Agency Services: An Economic Analysis." Harvard Business School Working Paper, No. 11-039, September 2010.
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