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Show Results For
- All HBS Web
(7,597)
- People (3)
- News (1,355)
- Research (5,014)
- Events (123)
- Multimedia (55)
- Faculty Publications (3,412)
- Article
The Price Impact of Joining a Currency Union: Evidence from Latvia
By: Alberto Cavallo, Brent Neiman and Roberto Rigobon
Does membership in a currency union matter for a country’s international relative prices? The answer to this question is critical for thinking about the implications of joining (or exiting) a common currency area. This paper is the first to use high-frequency... View Details
Cavallo, Alberto, Brent Neiman, and Roberto Rigobon. "The Price Impact of Joining a Currency Union: Evidence from Latvia." IMF Economic Review 63, no. 2 (September 2015): 281–297.
- 2021
- Working Paper
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an... View Details
Keywords: Descriptive Analytics; Big Data; Synthetic Control; E-commerce; Online Retail; Difference-in-differences; Martech; Internet and the Web; Analytics and Data Science; Performance; Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
- 2019
- Working Paper
Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems
The purpose of this chapter is to investigate the means by which firms capture value in open platform systems. I begin by arguing that the surplus value created by complementarities within a technical system will be split among the owners of the unique and essential... View Details
Keywords: Open Platforms; Bottlenecks; Flow Production; Value Capture; Disintermediation; Production; Management; Digital Platforms
Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 16 Capturing Value by Controlling Bottlenecks in Open Platform Systems." Harvard Business School Working Paper, No. 20-054, November 2019.
- March 2022 (Revised January 2025)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional... View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation; AI and Machine Learning
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised January 2025.)
- November 5, 2021
- Article
Leaders: Stop Confusing Correlation with Causation
By: Michael Luca
We’ve all been told that correlation does not imply causation. Yet many business leaders, elected officials, and media outlets still make causal claims based on misleading correlations. These claims are too often unscrutinized, amplified, and mistakenly used to guide... View Details
Keywords: Behavioral Economics; Data Analysis; Organizations; Decision Making; Analytics and Data Science; Analysis; Learning
Luca, Michael. "Leaders: Stop Confusing Correlation with Causation." Harvard Business Review Digital Articles (November 5, 2021).
- October 2015
- Article
Agglomerative Forces and Cluster Shapes
By: William R. Kerr and Scott Duke Kominers
We model spatial clusters of similar firms. Our model highlights how agglomerative forces lead to localized, individual connections among firms, while interaction costs generate a defined distance over which attraction forces operate. Overlapping firm interactions... View Details
Keywords: Agglomeration; Clusters; Industrial Organization; Silicon Valley; Technology Flows; Patents; Networks; Information Technology; Industry Clusters; Entrepreneurship; California
Kerr, William R., and Scott Duke Kominers. "Agglomerative Forces and Cluster Shapes." Review of Economics and Statistics 97, no. 4 (October 2015): 877–899.
- Teaching Interest
Overview
Teaching has been a lifelong passion of mine. As the third generation of academics in my family, I see good teaching as a means to give back and to encourage others to share my passion for discovery. I’ve been very lucky to have many teaching opportunities, both as an... View Details
Keywords: Big Data; Technology Strategy; Machine Learning; Data Science; ＂Marketing Analytics＂; Data Visualization; Analysis; Technological Innovation; Innovation and Invention; Intellectual Property; Corporate Strategy; Software; Information Technology; Entrepreneurship; Marketing; Technology Industry; Information Technology Industry; Green Technology Industry; Computer Industry; Advertising Industry
- 15 Jan 2014
- News
Deal Maker Relies on Extensive Database
- February 2021
- Case
Apple: Privacy vs. Safety (A)
By: Henry McGee, Nien-hê Hsieh, Sarah McAra and Christian Godwin
In 2015, Apple CEO Tim Cook debuted the iPhone 6S with enhanced security measures that enflamed a debate on privacy and public safety around the world. The iPhone 6S, amid a heightened concern for privacy following the 2013 revelation of clandestine U.S. surveillance... View Details
Keywords: Iphone; Encryption; Data Privacy; Customers; Customer Focus and Relationships; Decision Making; Ethics; Values and Beliefs; Globalized Firms and Management; Government and Politics; National Security; Law; Law Enforcement; Leadership; Markets; Safety; Social Issues; Corporate Social Responsibility and Impact; Civil Society or Community; Mobile and Wireless Technology; Technology Industry; Consumer Products Industry; Telecommunications Industry; Electronics Industry; United States; China; Hong Kong
McGee, Henry, Nien-hê Hsieh, Sarah McAra, and Christian Godwin. "Apple: Privacy vs. Safety (A)." Harvard Business School Case 321-004, February 2021.
- Forthcoming
- Article
FinTech Lending and Cashless Payments
By: Pulak Ghosh, Boris Vallée and Yao Zeng
Borrower's use of cashless payments both improves their access to capital from FinTech lenders and predicts a lower probability of default. These relationships are stronger for cashless technologies providing more precise information, and for outflows. Cashless payment... View Details
- 2020
- Working Paper
Inventing the Endless Frontier: The Effects of the World War II Research Effort on Post-War Innovation
By: Daniel P. Gross and Bhaven N. Sampat
During World War II, the U.S. government launched an unprecedented effort to mobilize science for war: a newly-established Office of Scientific Research and Development (OSRD) entered thousands of R&D contracts with industrial and academic contractors, spending one to... View Details
Keywords: World War II; Vannevar Bush; OSRD; Mission-oriented R＆D; Direction Of Innovation; Geography Of Innovation; Technology Clusters; U.S. Innovation System; Innovation and Invention; Research and Development; Problems and Challenges; War; History; Government Administration; United States
Gross, Daniel P., and Bhaven N. Sampat. "Inventing the Endless Frontier: The Effects of the World War II Research Effort on Post-War Innovation." Harvard Business School Working Paper, No. 20-126, June 2020.
- 2022
- Working Paper
Machine Learning Models for Prediction of Scope 3 Carbon Emissions
By: George Serafeim and Gladys Vélez Caicedo
For most organizations, the vast amount of carbon emissions occur in their supply chain and in the post-sale processing, usage, and end of life treatment of a product, collectively labelled scope 3 emissions. In this paper, we train machine learning algorithms on 15... View Details
Keywords: Carbon Emissions; Climate Change; Environment; Carbon Accounting; Machine Learning; Artificial Intelligence; Digital; Data Science; Environmental Sustainability; Environmental Management; Environmental Accounting
Serafeim, George, and Gladys Vélez Caicedo. "Machine Learning Models for Prediction of Scope 3 Carbon Emissions." Harvard Business School Working Paper, No. 22-080, June 2022.
- June 2014 (Revised July 2014)
- Background Note
An Overview of Project Finance and Infrastructure Finance—2014 Update
By: Benjamin C. Esty, Carla Chavich and Aldo Sesia
Provides an introduction to the fields of project finance and infrastructure finance, and gives a statistical overview of project-financed investments over the years from 2009 to 2013. Examples of project-financed investments include the Kashagan oil field development... View Details
Keywords: Globalization; Capital Expenditures; International Finance; Data; Financial History; Economic Development; Corporate Governance; Contracts; Industry Analysis; Banking; Capital Investments; Municipal Finance; Project Finance; Infrastructure; Investment; Projects; Trends
Esty, Benjamin C., Carla Chavich, and Aldo Sesia. "An Overview of Project Finance and Infrastructure Finance—2014 Update." Harvard Business School Background Note 214-083, June 2014. (Revised July 2014.)
- January 2021 (Revised March 2021)
- Exercise
E-Commerce Analytics for CPG Firms (C): Free Delivery Terms
By: Ayelet Israeli and Fedor (Ted) Lisitsyn
The E-Commerce Analytics group at the traditional CPG firm was in charge of compiling various online sales reports, as well as making data-driven recommendations for sales and marketing tactics. In a series of exercises, students address different data challenges for... View Details
Keywords: Data; Data Analysis; Data Analytics; Data Sharing; CPG; Consumer Packaged Goods (CPG); Delivery Planning; Customer Lifetime Value; Online Channel; Retail; Retail Analytics; Retailing Industry; Ecommerce; Grocery; Grocery Delivery; Margins; Analytics and Data Science; Retention; E-commerce; Retail Industry; Consumer Products Industry; United States
Israeli, Ayelet, and Fedor (Ted) Lisitsyn. "E-Commerce Analytics for CPG Firms (C): Free Delivery Terms." Harvard Business School Exercise 521-080, January 2021. (Revised March 2021.)
- March 2019
- Article
A Structural Analysis of the Role of Superstars in Crowdsourcing Contests
By: Shunyuan Zhang, Param Singh and Anindya Ghose
We investigate the long-term impact of competing against superstars in crowdsourcing contests. Using a unique 50-month longitudinal panel data set on 1677 software design crowdsourcing contests, we illustrate a learning effect where participants are able to improve... View Details
Keywords: Crowdsourcing Contests; Superstar Effect; Bayesian Learning; Utility; Economics Of Information System; Dynamic Structural Model; Dynamic Programming; Markov Chain; Monte Carlo; Learning; Competition; Performance Improvement
Zhang, Shunyuan, Param Singh, and Anindya Ghose. "A Structural Analysis of the Role of Superstars in Crowdsourcing Contests." Information Systems Research 30, no. 1 (March 2019): 15–33.
- September 2020 (Revised June 2023)
- Supplement
Spreadsheet Supplement to Artea Teaching Note
By: Eva Ascarza and Ayelet Israeli
Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details
- August 2018 (Revised September 2018)
- Case
Predicting Purchasing Behavior at PriceMart (A)
By: Srikant M. Datar and Caitlin N. Bowler
This case follows VP of Marketing, Jill Wehunt, and analyst Mark Morse as they tackle a predictive analytics project to increase sales in the Mom & Baby unit of a nationally recognized retailer, PriceMart. Wehunt observed that in the midst of the chaos that surrounded... View Details
Keywords: Data Science; Analytics and Data Science; Analysis; Consumer Behavior; Forecasting and Prediction
Datar, Srikant M., and Caitlin N. Bowler. "Predicting Purchasing Behavior at PriceMart (A)." Harvard Business School Case 119-025, August 2018. (Revised September 2018.)