Filter Results:
(6,930)
Show Results For
- All HBS Web
(6,930)
- News (1,270)
- Research (4,455)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,097)
Show Results For
- All HBS Web
(6,930)
- News (1,270)
- Research (4,455)
- Events (116)
- Multimedia (73)
- Faculty Publications (3,097)
- March 2022 (Revised January 2024)
- Case
Moksha Data: Delivering Insights for Public Service
By: Ashish Nanda and Zack Kurtovich
Moksha Data, a boutique consulting firm specializing in public sector work, started in January 2017 with a handshake between friends and a shared commitment to the principles of egalitarianism, ownership, and collaboration. The Houston-based firm had built momentum... View Details
Keywords: Professional Service Firms; Professional Service Firm; Strategy Formulation; Data; Data As A Service; Government Contracting; Consulting; Consulting Firms; Consulting Services; Entrepreneurship; Public Sector; Analytics and Data Science; Growth and Development; Strategy; Consulting Industry; Texas
Nanda, Ashish, and Zack Kurtovich. "Moksha Data: Delivering Insights for Public Service." Harvard Business School Case 722-397, March 2022. (Revised January 2024.)
- 12 Feb 2015
- News
How Yelp Can Help
- January 2017 (Revised March 2017)
- Case
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details
Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning
Kanter, Rosabeth Moss, and Jonathan Cohen. "IBM Transforming, 2012–2016: Ginni Rometty Steers Watson." Harvard Business School Case 317-046, January 2017. (Revised March 2017.)
- April 2023
- Article
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001-2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Journal of the European Economic Association 21, no. 2 (April 2023): 637–689.
- 2020
- Working Paper
The Real Exchange Rate, Innovation and Productivity
By: Laura Alfaro, Alejandro Cuñat, Harald Fadinger and Yanping Liu
We evaluate manufacturing firms' responses to changes in the real exchange rate (RER) using detailed firm-level data for a large set of countries for the period 2001–2010. We uncover the following stylized facts about regional variation of manufacturing firms'... View Details
Keywords: Real Exchange Rate; Firm Level Data; Innovation; Productivity; Exporting; Importing; Credit Constraints; Currency Exchange Rate; Innovation and Invention; Performance Productivity
Alfaro, Laura, Alejandro Cuñat, Harald Fadinger, and Yanping Liu. "The Real Exchange Rate, Innovation and Productivity." Harvard Business School Working Paper, No. 18-044, November 2017. (Revised April 2020.)
- November 2021
- Article
Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective
By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
- November 2016 (Revised April 2017)
- Case
Basecamp: Pricing
By: Frank Cespedes and Robb Fitzsimmons
A data analyst at Basecamp is evaluating the results of pricing research and its potential implications for the venture’s latest version of its project management software product. View Details
Keywords: Pricing; Entrepreneurial Management; Data Analysis; Marketing; Customer Acquisition; Customer Retention; Value Proposition; Sales Management; Product Management; Market Research; Life Time Value; Testing; Entrepreneurship; Analytics and Data Science; Customers; Value; Sales; Product Marketing; United States
Cespedes, Frank, and Robb Fitzsimmons. "Basecamp: Pricing." Harvard Business School Case 817-067, November 2016. (Revised April 2017.)
- January 2019 (Revised October 2019)
- Case
Glossier: Co-Creating a Cult Brand with a Digital Community
By: Jill Avery
Glossier’s proclaimed strategy was “born from content; fueled by community.” The digital-first, direct-to-consumer beauty brand had experienced rapid growth, with sales up 600% in 2017 and a customer portfolio that grew by threefold. But, its founder, Emily Weiss, was... View Details
Keywords: Brands; Brand Management; Brand Communication; Retailing; DTC; Influencer; Startup; Internet Marketing; Big Data; Crowdsourcing; Growth and Development Strategy; Social Media; E-commerce; Internet and the Web; Digital Marketing; Consumer Products Industry; Beauty and Cosmetics Industry; Retail Industry; United States; North America
Avery, Jill. "Glossier: Co-Creating a Cult Brand with a Digital Community." Harvard Business School Case 519-022, January 2019. (Revised October 2019.)
- November–December 2022
- Article
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; Marketing; Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
- 2011
- Chapter
Health Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers
By: Jon Chilingerian and H. David Sherman
This chapter focuses on health-care applications of DEA. The paper begins with a brief history of health applications and discusses some of the models and the motivation behind the applications. Using DEA to develop quality frontiers in health services is offered as a... View Details
Keywords: Data Envelopment Analysis; Physicians; Hospitals; HMOs; Frontier Analysis; Efficiency; Health Care and Treatment; Performance; Quality
Chilingerian, Jon, and H. David Sherman. "Health Care Applications: From Hospitals to Physicians, from Productive Efficiency to Quality Frontiers." Chap. 16 in Handbook on Data Envelopment Analysis. 2nd edition Vol. 164, edited by William W. Cooper, Lawrence M. Seiford, and Joe Zhu, 445–493. International Series in Operations Research & Management Science. New York, NY: Springer, 2011.
- 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 2025
- Case
Scale AI Scales Up
By: Boris Groysberg and Sarah L. Abbott
Scale AI, the data labeling and AI infrastructure company, had grown rapidly since it was founded in 2016; however, as Scale’s generative AI business was taking off, Alexandr Wang, Scale’s founder and CEO, became concerned that Scale was slowing down. Wang and the... View Details
Keywords: Artificial Intelligence; Technology And Innovation Management; Start-ups; Entrepreneur; Managing Growth; Hiring; Generative Ai; Data Labeling; Scale; AI and Machine Learning; Entrepreneurship; Talent and Talent Management; Growth Management; Leadership; Culture; Technology Industry; United States
Groysberg, Boris, and Sarah L. Abbott. "Scale AI Scales Up." Harvard Business School Case 425-082, June 2025.
- March 2017
- Article
Why Do We Hate Hypocrites? Evidence for a Theory of False Signaling
By: Jillian J. Jordan, Roseanna Sommers, Paul Bloom and David G. Rand
Why do people judge hypocrites, who condemn immoral behaviors that they in fact engage in, so negatively? We propose that hypocrites are disliked because their condemnation sends a false signal about their personal conduct, deceptively suggesting that they behave... View Details
Keywords: Moral Psychology; Condemnation; Vignettes; Deception; Social Signaling; Open Data; Open Materials; Moral Sensibility; Behavior; Perception
Jordan, Jillian J., Roseanna Sommers, Paul Bloom, and David G. Rand. "Why Do We Hate Hypocrites? Evidence for a Theory of False Signaling." Psychological Science 28, no. 3 (March 2017): 356–368.
- April 2015 (Revised March 2017)
- Case
Instacart and the New Wave of Grocery Startups
By: John Deighton and Leora Kornfeld
Instacart is testing an Uber-style solution to the challenge of building a home-delivered grocery business. It is backed by $220 million of venture funding. Will this model succeed where businessses like Webvan failed? What are the questions that this exploratory... View Details
Keywords: Food Retailing; Outsourced Grocery Delivery; Online Ordering; Dynamic Pricing; Data Analytics; Marketing Strategy; Food; Distribution Channels; Business Startups; Food and Beverage Industry; California
Deighton, John, and Leora Kornfeld. "Instacart and the New Wave of Grocery Startups." Harvard Business School Case 515-089, April 2015. (Revised March 2017.)
- January 2025 (Revised March 2025)
- Case
Thomas Müller: Mr. Bayern Munich
By: Boris Groysberg, Sascha L. Schmidt, Alexander Liebhart and Sarah Abbott
In 2024, FC Bayern Munich superstar Thomas Müller announced his retirement from German national football. His contract with Bayern Munich runs through the end of the 2024-25 season. In 2025, Müller reflects on his long career in football, on the skills that have driven... View Details
Keywords: Soccer; Football; Data Science And Analytics Management; Bundesliga; Sports Data; ＂Sports Organizations,; Career Changes And Transitions; Career Management; Retirement Transition; Skills Development; Analysis; Competency and Skills; Decision Making; Performance; Personal Development and Career; Retirement; Transition; Sports Industry; Germany
Groysberg, Boris, Sascha L. Schmidt, Alexander Liebhart, and Sarah Abbott. "Thomas Müller: Mr. Bayern Munich." Harvard Business School Case 425-031, January 2025. (Revised March 2025.)
- 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.)
- 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.)
- September 2016 (Revised October 2018)
- Case
LabCDMX: Experiment 50
By: Mitchell Weiss and Maria Fernanda Miguel
There were probably 30,000 public buses, minibuses, and vans in Mexico City. Though, in 2015, no one knew for certain since no comprehensive schedule existed. This was why el Laboratorio para la Ciudad (or LabCDMX) had spawned an effort to generate a map of the... View Details
Keywords: Public Entrepreneurship; Experimentation; Lean Startup; Government; Innovation; Crowdsourcing; Open Data; Entrepreneurship; Social Entrepreneurship; Innovation and Invention; Innovation Leadership; Government Administration; Transportation; Transportation Industry; Mexico City; Mexico
Weiss, Mitchell, and Maria Fernanda Miguel. "LabCDMX: Experiment 50." Harvard Business School Case 817-031, September 2016. (Revised October 2018.)
- June 2017
- Teaching Note
IBM Transforming, 2012–2016: Ginni Rometty Steers Watson
By: Rosabeth Moss Kanter and Jonathan Cohen
Ginni Rometty, who became IBM CEO in 2012, led efforts to transform the company around cognitive computing and the AI platform Watson. This Teaching Note helps instructors understand and teach the Harvard Business School case “IBM Transforming, 2012–2016: Ginni Rometty... View Details
- 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.)