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(1,126)
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Show Results For
- All HBS Web
(1,126)
- News (244)
- Research (686)
- Events (17)
- Multimedia (2)
- Faculty Publications (242)
- October 2024
- Article
Sampling Bias in Entrepreneurial Experiments
By: Ruiqing Cao, Rembrand Koning and Ramana Nanda
Using data from a prominent online platform for launching new digital products, we document that ‘sampling bias’—defined as the difference between a startup’s target customer base and the actual sample on which early ‘beta tests’ are conducted—has a systematic and... View Details
Cao, Ruiqing, Rembrand Koning, and Ramana Nanda. "Sampling Bias in Entrepreneurial Experiments." Management Science 70, no. 10 (October 2024): 7283–7307.
- 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
Eliminating unintended bias in personalized policies using Bias Eliminating Adapted Trees (BEAT) - PNAS
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... View Details
- July – August 2008
- Article
Should You Invest in the Long Tail?
By: Anita Elberse
The blockbuster strategy is a time-honored approach, particularly in media and entertainment. When space is limited on store shelves and in traditional distribution channels, producers tend to focus on a few likely best sellers, hoping that one or two big hits will... View Details
Keywords: Demand and Consumers; Distribution Channels; Sales; Marketing Strategy; Online Technology; Motion Pictures and Video Industry; Music Industry; Retail Industry
Elberse, Anita. "Should You Invest in the Long Tail?" HBS Centennial Issue Harvard Business Review 86, nos. 7/8 (July–August 2008): 88–96. (HBS Centennial Issue.)
- 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
- 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
- 07 Aug 2009
- What Do You Think?
Why Can’t Americans Get Health Care Right?
provided excellent comparative data of the kind that we have seen all too little in the public debate on the matter. And nearly everyone admirably avoided the political rhetoric that has clouded rational thought about a truly complex... 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.)
- 05 Apr 2011
- First Look
First Look: April 5
those that return instantaneous results—even when those results are identical. In five experiments that simulate service experiences in the domains of online travel and online dating, we demonstrate the... View Details
Keywords: Sean Silverthorne
- 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.
- 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).
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
- 24 Apr 2018
- First Look
First Look at New Research and Ideas, April 24, 2018
April 2018 Management Science Offline Showrooms in Omni-channel Retail: Demand and Operational Benefits By: Bell, David R., Santiago Gallino, and Antonio Moreno Abstract—Omnichannel environments where customers shop online and offline at... View Details
Keywords: Sean Silverthorne
- 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).
- 2023
- Working Paper
Learning to Use: Stack Overflow and Technology Adoption
By: Daniel Jay Brown and Maria P. Roche
In this paper, we examine the potential impact of Q&A websites on the adoption of technologies.
Using data from Stack Overflow – one of the most popular Q&A websites worldwide
– and implementing an instrumental-variable approach, we find that users whose questions... View Details
Brown, Daniel Jay, and Maria P. Roche. "Learning to Use: Stack Overflow and Technology Adoption." Harvard Business School Working Paper, No. 24-001, July 2023.
- 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.
- 05 Sep 2008
- What Do You Think?
Is Case Method Instruction Due for an Overhaul?
set of packaged data available on which to base the decision. Research outside the case may be discouraged; there may not be time for it in a curriculum packed with cases designed to encourage students to acquire decision making habits.... View Details
- 28 Jun 2007
- Working Paper Summaries