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Show Results For
- All HBS Web
(1,139)
- News (240)
- Research (685)
- Events (16)
- Multimedia (2)
- Faculty Publications (248)
- February 2005 (Revised May 2005)
- Case
Intelliseek
Intelliseek harvests, filters, and mines the content of messages posted by consumers online and on discussion boards and blogs. For any specified consumer product brand, Intelliseek measures the volume of work-of-mouth and its valence (proportion of positive and... View Details
Keywords: Internet and the Web; Information Technology; Consumer Behavior; Knowledge Management; Marketing Reference Programs; Web Services Industry
Wathieu, Luc R., and Allan Friedman. "Intelliseek." Harvard Business School Case 505-061, February 2005. (Revised May 2005.)
- 16 May 2016
- News
The Airplane As A Microcosm Of Class Divisions
- 2018
- Working Paper
What Is Your Problem? The Importance of ‘Problem Storming’ for Crossing Knowledge Boundaries
By: Hila Lifshitz - Assaf
In this study, I focus on the emergent processes and practices enacted when using crowdsourcing to solve R&D problems that experts are challenged with. While the literature on crowdsourcing focuses on the online process, this study looks at the full process that takes... View Details
- 2009
- Working Paper
Do Friends Influence Purchases in a Social Network?
By: Raghuram Iyengar, Sangman Han and Sunil Gupta
Social networks, such as Facebook and Myspace have witnessed a rapid growth in their membership. Some of these businesses have tried an advertising-based model with very limited success. However, these businesses have not fully explored the power of their members to... View Details
Keywords: Marketing; Network Effects; Sales; Power and Influence; Social and Collaborative Networks; Web Sites; South Korea
Iyengar, Raghuram, Sangman Han, and Sunil Gupta. "Do Friends Influence Purchases in a Social Network?" Harvard Business School Working Paper, No. 09-123, April 2009.
- 28 Feb 2005
- Research & Ideas
Amazon, eBay and the Bidding Wars
until at least 10 minutes have passed without a bid. Q: In your study of eBay, how much sniping was going on, and what categories or products were most likely to be sniped? A: In the eBay data we collected for our 2002 American Economics... View Details
- Program
Competing in the Age of AI—Virtual
leveraging massive amounts of data and sophisticated analytics. This program is eligible for the Digital Transformation Certificate. Learn More Key Benefits This online artificial intelligence course is a... View Details
- January 23, 2023
- Article
Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines
By: Susan Athey, Kristen Grabarz, Michael Luca and Nils Wernerfelt
Public health organizations increasingly use social media advertising campaigns in pursuit of public health goals. In this paper, we evaluate the impact of about $40 million of social media advertisements that were run and experimentally tested on Facebook and... View Details
Keywords: COVID-19 Pandemic; Public Health; Vaccines; Social Media; Advertising; Power and Influence; Health Care and Treatment
Athey, Susan, Kristen Grabarz, Michael Luca, and Nils Wernerfelt. "Digital Public Health Interventions at Scale: The Impact of Social Media Advertising on Beliefs and Outcomes Related to COVID Vaccines." e2208110120. Proceedings of the National Academy of Sciences 120, no. 5 (January 23, 2023).
- 2017
- Article
Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights
By: Melissa Carlson, Laura Jakli and Katerina Linos
The global refugee regime represents one of the few generous commitments governments offer to outsiders. Indeed, few persons fleeing armed conflict actually claim international protection upon first arriving in Europe, even though the benefits of legal protection are... View Details
Carlson, Melissa, Laura Jakli, and Katerina Linos. "Refugees Misdirected: How Information, Misinformation and Rumors Shape Refugees’ Access to Fundamental Rights." Virginia Journal of International Law 57, no. 3 (2017): 539–574.
- February 2000
- Case
E2M Health Services
By: Richard M.J. Bohmer and Naomi Atkins
Outlines the growth of an innovative diabetes disease management organization from 1994-99. Having demonstrated the success of their model in managing diabetes populations in Texas and New York State, the CEO and president must decide the future strategy of the company... View Details
Keywords: Business Model; Customer Focus and Relationships; Decision Choices and Conditions; Financial Markets; Revenue; Innovation and Invention; Business or Company Management; Marketing Strategy; Internet; Health Industry
Bohmer, Richard M.J., and Naomi Atkins. "E2M Health Services." Harvard Business School Case 600-077, February 2000.
- 2022
- Working Paper
The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective
By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
- 10 Nov 2008
- What Do You Think?
How Much Can You Ask of Your Customers?
so that volunteers (often customers, but also others) can easily contribute content (opinions and ratings for Zagat guides), "stuff for sale" (eBay online marketplace), behavioral data (Google's... View Details
Keywords: by Jim Heskett
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
Jill J. Avery
Dr. Jill Avery is a Senior Lecturer of Business Administration and C. Roland Christensen Distinguished Management Educator in the marketing unit at Harvard Business School. She is a respected authority on branding and brand management, customer relationship... View Details
Keywords: consumer products; arts; advertising; automobiles; retailing; fashion; hotels ＆ motels; food; beverage
- 30 Jan 2018
- First Look
January 30, 2018
practice related to AI in developing countries. Publisher's link: https://www.hbs.edu/faculty/Pages/item.aspx?num=52296 December 2017 Journal of Advertising Research Rethinking the Profession Formerly Known as Advertising: How Data... View Details
Keywords: Sean Silverthorne
- 2023
- Working Paper
An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits
By: Biyonka Liang and Iavor I. Bojinov
Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details
Liang, Biyonka, and Iavor I. Bojinov. "An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits." Harvard Business School Working Paper, No. 24-057, March 2024.
- 2022
- Article
How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies
By: Thomaz Teodorovicz, Raffaella Sadun, Andrew L. Kun and Orit Shaer
We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day. We analyze the results from an online time-use survey with data on 1,192 knowledge workers (out of which 973 are... View Details
Keywords: Time-use; Working-from-home; COVID; Managers; Knowledge Workers; Health Pandemics; Time Management
Teodorovicz, Thomaz, Raffaella Sadun, Andrew L. Kun, and Orit Shaer. "How Does Working from Home during COVID-19 Affect What Managers Do? Evidence from Time-Use Studies." Human-Computer Interaction 37, no. 6 (2022): 532–557.
- 15 Mar 2016
- First Look
March 15, 2016
Case 516-059 Ocado In 2015, U.K.–based Ocado was the world's largest pure player in the online home-delivery grocery business and was gaining a growing share of the highly competitive U.K. grocery market. Ocado had made heavy investments... View Details
- 09 Dec 2015
- Research Event
How Do You Predict Demand and Set Prices For Products Never Sold Before?
predict demand with prescriptive analytics to make tactical decisions?” she said to a packed audience of executives, data scientists, and scholars. “I believe the answer lies in data.” Ferreira presented field work she and colleagues... View Details
- April 2021 (Revised July 2021)
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
Farronato, Chiara, John J. Horton, Annelena Lobb, and Julia Kelley. "StockX: The Stock Market of Things (Abridged)." Harvard Business School Case 621-107, April 2021. (Revised July 2021.)
- 10 Nov 2015
- First Look
November 10, 2015
multivariate time series model to investigate the interaction between paid search and display ads and calibrate the model using data from a large commercial bank that uses online ads to acquire new checking... View Details
Keywords: Sean Silverthorne