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Show Results For
- All HBS Web
(4,749)
- People (10)
- News (1,040)
- Research (2,896)
- Events (66)
- Multimedia (35)
- Faculty Publications (1,661)
- September 2020 (Revised June 2023)
- Exercise
Artea: Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
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 targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details
Keywords: Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; "Marketing Analytics"; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analytics; Data Analysis; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Targeting; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Algorithmic Bias; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Apparel and Accessories Industry; Apparel and Accessories Industry; United States
Ascarza, Eva, and Ayelet Israeli. "Artea: Designing Targeting Strategies." Harvard Business School Exercise 521-021, September 2020. (Revised June 2023.)
- 18 Mar 2024
- Research & Ideas
When It Comes to Climate Regulation, Energy Companies Take a More Nuanced View
Common wisdom holds that oil and gas companies, electric utilities, and other industries known for their large carbon emissions generally oppose clean energy policies. Now, a study of corporate advocacy spanning 30 years reveals that many companies are more flexible... View Details
- 26 Feb 2018
- News
The quest to win over Amazon
- Article
The Impact of Intangibles on Firm Growth
By: Stefano Denicolai, E. Cotta Ramusino and F. Sotti
Persuading users to try new technologies continues to be a problem confronting organisations and technology vendors alike. To better understand the process of new technology trial and adoption, several theoretical models have been proposed, of which the Technology... View Details
Denicolai, Stefano, E. Cotta Ramusino, and F. Sotti. "The Impact of Intangibles on Firm Growth." Technology Analysis & Strategic Management 27, no. 2 (2015): 219–236.
- 15 Apr 2020
- News
Creating a Fearless Organization With Amy Edmondson
- 02 Jul 2022
- News
Zeroing Out on Zero-COVID
Richard L. Nolan
Professor Nolan earned his B.A. from the University of Washington in Production and Operations Research in 1962, and his M.B.A and Ph.D. in 1963 and 1966, respectively. Upon graduation in 1966, he joined Boeing Commercial Airplane Company as an Information... View Details
- 30 May 2024
- Research & Ideas
Racial Bias Might Be Infecting Patient Portals. Can AI Help?
Patients and physicians increasingly turned to digital platforms, like patient portal messaging, when COVID-19 made contact risky, but a new study of how providers managed the messaging surge suggests an... View Details
Charlotte L. Robertson
Charlotte Robertson is an Assistant Professor in the Business, Government, and the International Economy Unit at Harvard Business School. She teaches BGIE in the MBA required curriculum.
Professor Robertson conducts research on the history of financial... View Details
- July 2021
- Article
Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time
By: Sam Ransbotham, Eric Overby and Michael C. Jernigan
Information systems generate copious trace data about what individuals do and when they do it. Trace data may affect the resolution of lawsuits by, for example, changing the time needed for legal discovery. Trace data might speed resolution by clarifying what events... View Details
Keywords: Analytics and Data Science; Lawsuits and Litigation; Digital Transformation; Welfare; Health Industry
Ransbotham, Sam, Eric Overby, and Michael C. Jernigan. "Electronic Trace Data and Legal Outcomes: The Effect of Electronic Medical Records on Malpractice Claim Resolution Time." Management Science 67, no. 7 (July 2021): 4341–4361.
- 09 May 2024
- Research & Ideas
Called Back to the Office? How You Benefit from Ideas You Didn't Know You Were Missing
knowledge sharing outside one’s core department. That is one implication of a new study about how knowledge is shared that focuses on academia, but may offer lessons for technology, pharmaceutical development, View Details
Keywords: by Ben Rand
- 2012
- Working Paper
~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation
Tagging is a free lunch in conventional optimal tax theory because it eases the classic tradeoff between efficiency and equality. But tagging is used in only limited ways in tax policy. I propose one explanation: conventional optimal tax theory has yet to capture the... View Details
Keywords: Forecasting and Prediction; Cost; Framework; Policy; Taxation; Analytics and Data Science; Performance Efficiency; United States
Weinzierl, Matthew. "~Why Do We Redistribute so Much but Tag so Little? Normative Diversity, Equal Sacrifice and Optimal Taxation." Harvard Business School Working Paper, No. 12-064, January 2012. (Revised August 2012. NBER Working Paper Series, No. 18045, August 2012)
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- 29 Sep 2015
- HBS Seminar
Kira Fabrizio, Boston University
- 02 Jun 2012
- News
Free Exchange: Silicon Sally
- 15 May 2019
- HBS Seminar
Pascaline Dupas, Stanford University
- 13 Mar 2019
- Working Paper Summaries
The Consequences of Invention Secrecy: Evidence from the USPTO Patent Secrecy Program in World War II
Keywords: by Daniel P. Gross
- 22 Aug 2013
- Working Paper Summaries
From Green Users to Green Voters
- 15 Apr 2008
- First Look
First Look: April 15, 2008
decentralizing operations from headquarters to their stores, and, to a weaker extent, by providing higher variable pay to their store managers. Download the paper: http://www.hbs.edu/research/pdf/08-091.pdf An Exploration of Technology... View Details
Keywords: Martha Lagace
- January 2022
- Case
Tomorrow.io Goes to Space
By: Joshua Lev Krieger, Abhishek Nagaraj and James Barnett
This case study explores the evolution of Tomorrow.io, a weather forecasting technology company, as it pivoted toward building and launching space-based weather radar satellites. This strategic shift was driven by the company's ambition to overcome data limitations in... View Details
Keywords: Communication; Competency and Skills; Engineering; Globalization; Innovation and Invention; Performance; Information Technology; Aerospace Industry
Krieger, Joshua Lev, Abhishek Nagaraj, and James Barnett. "Tomorrow.io Goes to Space." Harvard Business School Case 822-005, January 2022.