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- All HBS Web
(3,751)
- Faculty Publications (476)
- October 2018 (Revised August 2023)
- Case
Safecast: Bootstrapping Human Capital to Big Data
By: Ethan Bernstein and Stephanie Marton
On March 11, 2011, at 2:46pm, a 9.1-on-the-Richter-scale, six-minute long earthquake unleashed a tsunami that ravaged the Tohoku region of Japan, damaging the Fukushima Daiichi Nuclear Power facility and releasing sufficient radioactive material into the air and ocean... View Details
Keywords: Citizen Science; Creative Commons; Open Data; Open Architecture; Volunteer-based Organization; Fukushima Daiichi Nuclear Power Facility; 311; Nuclear; Radiation; Crowdsourcing; Bgeigie; Geiger Counters; Kickstarter; Sustainability; Sustainable Business And Innovation; Design; Energy Generation; Social Entrepreneurship; Human Capital; Innovation and Invention; Crisis Management; Organizational Structure; Organizational Design; Information Technology; Business Model; Energy Industry; Technology Industry; Japan; North and Central America; Europe
Bernstein, Ethan, and Stephanie Marton. "Safecast: Bootstrapping Human Capital to Big Data." Harvard Business School Case 419-033, October 2018. (Revised August 2023.)
- 2020
- Working Paper
Arbitration with Uninformed Consumers
By: Mark Egan, Gregor Matvos and Amit Seru
This paper studies the impact of the arbitrator selection process on consumer outcomes by examining roughly 9,000 consumer arbitration cases in the securities industry. Securities disputes present a good laboratory: arbitration is mandatory for all disputes,... View Details
Keywords: Arbitration; Financial Advisers; Financial Advisors; Brokers; Consumer Finance; Financial Misconduct; Fraud; Personal Finance; Conflict and Resolution; Information; Fairness
Egan, Mark, Gregor Matvos, and Amit Seru. "Arbitration with Uninformed Consumers." Harvard Business School Working Paper, No. 19-046, October 2018. (Revise and Resubmit at the Review of Economic Studies. Revised May 2020. NBER Working Paper Series, No. 25150, October 2018)
- October 2018
- Article
A Theory of Intergenerational Mobility
By: Gary Becker, Scott Duke Kominers, Kevin Murphy and Jorg L. Spenkuch
We develop a model of intergenerational resource transmission that emphasizes the link between cross-sectional inequality and intergenerational mobility. By drawing on first principles of human capital theory, we derive several novel results. In particular, we show... View Details
Keywords: Intergenerational Mobility; Inequality; Complementarities; Equality and Inequality; Human Capital; Income; Family and Family Relationships
Becker, Gary, Scott Duke Kominers, Kevin Murphy, and Jorg L. Spenkuch. "A Theory of Intergenerational Mobility." Journal of Political Economy 126, no. S1 (October 2018): S7–S25.
- 2018
- Other Teaching and Training Material
Finance Reading: Corporate Governance
By: John Coates and Suraj Srinivasan
Core Curriculum Readings in Finance cover the fundamental concepts, theories, and frameworks in finance. This reading presents an overview of corporate governance, focusing on for-profit businesses that are privately owned by dispersed investors—that is, not owned by a... View Details
Coates, John, and Suraj Srinivasan. "Finance Reading: Corporate Governance." Core Curriculum Readings Series. Boston: Harvard Business Publishing 5209, 2018.
- 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
Cui, Ruomeng, Santiago Gallino, Antonio Moreno, and Dennis J. Zhang. "The Operational Value of Social Media Information." Special Issue on Big Data in Supply Chain Management. Production and Operations Management 27, no. 10 (October 2018): 1749–1774.
- 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
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- 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
Keywords: Finance; Succession; Buyout; Leveraged Buyout; Turnaround; Operations; Private Equity; Management Succession; Business Model; Leveraged Buyouts; Trends; Organizational Change and Adaptation
Lerner, Josh, Abhijit Tagade, and Terrence Shu. "Clayton, Dubilier & Rice at 40." Harvard Business School Case 819-055, September 2018.
- 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
Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias
Greenstein, Shane, and Feng Zhu. "Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia." MIS Quarterly 42, no. 3 (September 2018): 945–959.
- 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
Kaplan, Robert S., Carole H. Stipelman, Brad Poss, Laura Anne Stetson, Luca Boi, Michael Rogers, Caleb Puzey, Sri Koduri, Vivian S. Lee, and Edward B. Clark. "Financial Analysis of Pediatric Resident Physician Primary Care Longitudinal Outpatient Experience." Academic Pediatrics 18, no. 7 (September–October 2018): 837–842.
- August 2018 (Revised April 2023)
- Case
Facebook—Can Ethics Scale in the Digital Age?
By: George A. Riedel and Carin-Isabel Knoop
Since its founding in 2004, Facebook has built a phenomenally successful business at global scale to become the fifth most valuable public company in the world. The revelation of Cambridge Analytica events in March 2018, where 78 million users' information was leaked... View Details
Keywords: Facebook; Ethics; Corporate Social Responsibility and Impact; Business and Stakeholder Relations; Trust; Business Model; Corporate Accountability; Social Media
Riedel, George A., and Carin-Isabel Knoop. "Facebook—Can Ethics Scale in the Digital Age?" Harvard Business School Case 319-030, August 2018. (Revised April 2023.)
- 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
Avery, Jill. "Tailor Brands: Artificial Intelligence-Driven Branding." Harvard Business School Case 519-017, August 2018. (Revised October 2020.)
- 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
Barberis, Nicholas, Robin Greenwood, Lawrence Jin, and Andrei Shleifer. "Extrapolation and Bubbles." Journal of Financial Economics 129, no. 2 (August 2018): 203–227.
- 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
Keywords: Endogenous Growth; Innovation; Citations; Scientists; Entrepreneurs; External; Internal; Patents; Innovation Strategy; Entrepreneurship; Economic Growth; Research and Development; Science
Akcigit, Ufuk, and William R. Kerr. "Growth Through Heterogeneous Innovations." Journal of Political Economy 126, no. 4 (August 2018): 1374–1443.
- July 2018 (Revised July 2018)
- Teaching Note
Argentina Power—Don’t Cry for Me Argentina
By: Nori Gerardo Lietz and Sayiddah Fatima McCree
Teaching Note for HBS No. 218-041. This case concerns a complex potential energy infrastructure investment in Argentina by a global conglomerate shortly after Mauricio Macri (“Macri”) became President of Argentina in 2015. The central issues are (i) why was a country... 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
Battilana, Julie, Michael Fuerstein, and Michael Lee. "New Prospects for Organizational Democracy? How the Joint Pursuit of Social and Financial Goals Challenges Traditional Organizational Designs." In Capitalism Beyond Mutuality? Perspectives Integrating Philosophy and Social Science, edited by Subramanian Rangan, 256–288. Oxford, UK: Oxford University Press, 2018.
- March 2018 (Revised March 2018)
- Teaching Note
OpenInvest
By: Boris Vallee and Caitlin Reimers Brumme
Founded by a team of hedge fund and NGO alumni, OpenInvest launched its platform in 2015 to enable retail investors to tailor their portfolio to their personal values in an automated way, for instance by screening out weapon manufacturers stocks or overweighting LGBTQ... 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
Keywords: Pension Fund Investing; Infrastucture; Power/Energy; Credit Enhancement; Infrastructure; Project Finance; Investment Funds; Emerging Markets; Nigeria; Africa
Macomber, John, and Pippa Tubman Armerding. "Infrastructure in Nigeria: Unlocking Pension Fund Investments." Harvard Business School Case 218-071, February 2018.
- 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
Keywords: Technological Innovation; Finance; Growth and Development Strategy; Business Model; Applications and Software; Infrastructure; Technology Industry; Financial Services Industry
Cohen, Lauren, Christopher Malloy, and William Powley. "Artificial Intelligence and the Machine Learning Revolution in Finance: Cogent Labs and the Google Cloud Platform (GCP)." Harvard Business School Case 218-080, February 2018. (Revised March 2018.)
- 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
Keywords: Retention/churn; Proactive Churn Management; Field Experiments; Heterogeneous Treatment Effect; Machine Learning; Customer Relationship Management; Risk Management
Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might Be Ineffective." Journal of Marketing Research (JMR) 55, no. 1 (February 2018): 80–98.
- 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
Choudhury, Prithwiraj, Dan Wang, Natalie A. Carlson, and Tarun Khanna. "Machine Learning Approaches to Facial and Text Analysis: Discovering CEO Oral Communication Styles." Harvard Business School Working Paper, No. 18-064, January 2018. (Revised May 2019.)