Publications
Publications
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- All HBS Web
(2,405)
- Faculty Publications (336)
- October 2018
- Article
The Operational Value of Social Media Information
By: Ruomeng Cui, Santiago Gallino, Antonio Moreno and Dennis J. Zhang
While the value of using social media information has been established in multiple business contexts, the field of operations and supply chain management have not yet explored the possibilities it offers in improving firms' operational decisions. This study attempts to... View Details
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details
- September 2018
- Case
Clayton, Dubilier & Rice at 40
By: Josh Lerner, Abhijit Tagade and Terrence Shu
In 2018, private equity firm Clayton, Dubilier & Rice celebrated its 40th anniversary and its 20th year under the leadership of CEO Don Gogel. In those decades, CD&R showed solid portfolio performance and generated strong returns for its investors - accomplishments... View Details
- September 2018
- Article
Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia
By: Shane Greenstein and Feng Zhu
Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details
- Article
Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience
By: Robert S. Kaplan, Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee and Edward B. Clark
Objective
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
To determine whether residency training represents a net positive or negative cost to academic medical centers, we analyzed the cost of a residency program and clinical productivity of residents and faculty in an outpatient primary care practice with or... View Details
- August 2018 (Revised October 2020)
- Case
Tailor Brands: Artificial Intelligence-Driven Branding
By: Jill Avery
Using proprietary artificial intelligence technology, startup Tailor Brands set out to democratize branding by allowing small businesses to create their brand identities by automatically generating logos in just minutes at minimal cost with no branding or design skills... View Details
Keywords: Startup; Services; Artificial Intelligence; Machine Learning; Digital Marketing; Brand Management; Big Data; Internet Marketing; Analytics; Marketing; Marketing Strategy; Brands and Branding; Information Technology; Entrepreneurship; Venture Capital; Business Model; Consumer Behavior; AI and Machine Learning; Analytics and Data Science; Advertising Industry; Service Industry; Technology Industry; United States; North America; Israel
- August 2018
- Article
Extrapolation and Bubbles
By: Nicholas Barberis, Robin Greenwood, Lawrence Jin and Andrei Shleifer
We present an extrapolative model of bubbles. In the model, many investors form their demand for a risky asset by weighing two signals: an average of the asset’s past price changes and the asset’s degree of overvaluation. The two signals are in conflict, and investors... View Details
- August 2018
- Article
Growth Through Heterogeneous Innovations
By: Ufuk Akcigit and William R. Kerr
We build a tractable growth model where multi-product incumbents invest in internal innovations to improve their existing products, while new entrants and incumbents invest in external innovations to acquire new product lines. External and internal innovations generate... View Details
- 2018
- Chapter
New Prospects for Organizational Democracy?: How the Joint Pursuit of Social and Financial Goals Challenges Traditional Organizational Designs
By: Julie Battilana, Michael Fuerstein and Michael Lee
For an extended period during the first half of the 20th century, industrial democracy was a vibrant movement, with ideological and organizational ties to a thriving unionism. In 2015, however, things look different. While there are instances of democracy in the... View Details
- February 2018
- Case
Infrastructure in Nigeria: Unlocking Pension Fund Investments
By: John Macomber and Pippa Tubman Armerding
The so-called “infrastructure finance gap” was a problem in Nigeria as in many parts of the world. Infrastructure projects like power plants and dams were very large capital investments that could generate long-term consistent cash flows, but their financing and... View Details
- February 2018 (Revised March 2018)
- Case
Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)
By: Lauren Cohen, Christopher Malloy and William Powley
This case examines the intersection of two firms (Cogent Labs—a machine learning software firm in Tokyo; and Google, the technology infrastructure giant) attempting to exploit the benefits of artificial intelligence and machine learning in the financial services... View Details
- February 2018
- Article
Retention Futility: Targeting High-Risk Customers Might Be Ineffective.
By: Eva Ascarza
Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models... View Details
- 2019
- Working Paper
Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles
By: Prithwiraj Choudhury, Dan Wang, Natalie A. Carlson and Tarun Khanna
We demonstrate how a novel synthesis of three methods—(1) unsupervised topic modeling of text data to generate new measures of textual variance, (2) sentiment analysis of text data, and (3) supervised ML coding of facial images with a cutting-edge convolutional neural... View Details
- 2018
- Working Paper
Zig-Zagging Your Way to Transformative Impact
By: V. Kasturi Rangan and Tricia Gregg
Achieving transformative impact has been much discussed by social entrepreneurs, funders, and consultants. These discussions have focused on issues of increasing impact and scale, but often with no clear distinction between the two terms. In order to provide clarity,... View Details
- 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
- Article
Scenario Generation for Long Run Interest Rate Risk Assessment
By: Robert F. Engle, Guillaume Roussellet and Emil N. Siriwardane
We propose a statistical model of the term structure of U.S. treasury yields tailored for long-term probability-based scenario generation and forecasts. Our model is easy to estimate and is able to simultaneously reproduce the positivity, persistence, and factor... View Details
- 2017
- Working Paper
Intermediation in the Supply of Agricultural Products in Developing Economies
By: Kris J. Ferreira, Joel Goh and Ehsan Valavi
Problem Definition: Farmers face several challenges in agricultural supply chains in emerging economies that contribute to extreme levels of poverty. One common challenge is that farmers only have access to one channel, often an auction, for which to sell their crops.... View Details
- 2020
- Working Paper
Sex Selection and the Indian Marriage Market
I consider the widespread phenomenon of sex ratios skewed by parental preference. Edlund (1999) proposes that if parents prefer sons and permit only women to marry up in social class, sexes will segregate by wealth in equilibrium. Using data on 30,000 Indian children,... View Details
- September 2017
- Case
Sensing (and Monetizing) Happiness at Hitachi
By: Ethan Bernstein and Stephanie Marton
Inspired by research linking happiness and productivity, Hitachi had invested in developing new “people analytics” technologies to help companies increase employee happiness. Hitachi had begun manufacturing high-tech badges that quantify a wearer’s activity patterns.... View Details
- August 2017 (Revised August 2018)
- Case
The Oakland Athletics: Strategy & Metrics for a Budget
By: Srikant M. Datar and Caitlin N. Bowler
This case considers Oakland Athletics General Manager Billy Beane’s data driven and, in baseball circles unconventional, approach to winning games over the duration of the long Major League Baseball season. Beane’s critical approach to crafting strategy within his... View Details