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Show Results For
- All HBS Web
(1,638)
- People (3)
- News (440)
- Research (494)
- Events (5)
- Multimedia (32)
- Faculty Publications (144)
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- June 30, 2020
- Article
Scaling Up Behavioral Science Interventions in Online Education
By: Rene F. Kizilcec, Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams and Dustin Tingley
Online education is rapidly expanding in response to rising demand for higher and continuing education, but many online students struggle to achieve their educational goals. Several behavioral science interventions have shown promise in raising student persistence and... View Details
Keywords: Online Learning; Behavioral Interventions; Scale; Education; Online Technology; Performance Improvement
Kizilcec, Rene F., Justin Reich, Michael Yeomans, Christoph Dann, Emma Brunskill, Glenn Lopez, Selen Turkay, Joseph J. Williams, and Dustin Tingley. "Scaling Up Behavioral Science Interventions in Online Education." Proceedings of the National Academy of Sciences 117, no. 26 (June 30, 2020).
- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue... View Details
Keywords: Online Learning; Product Ranking; Assortment Optimization; Learning; Internet and the Web; Product Marketing; Consumer Behavior; E-commerce
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of... View Details
Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
- 18 Nov 2016
- Conference Presentation
Rawlsian Fairness for Machine Learning
By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details
Joseph, Matthew, Michael J. Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Rawlsian Fairness for Machine Learning." Paper presented at the 3rd Workshop on Fairness, Accountability, and Transparency in Machine Learning, Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD), November 18, 2016.
- November–December 2018
- Article
Online Network Revenue Management Using Thompson Sampling
By: Kris J. Ferreira, David Simchi-Levi and He Wang
We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details
Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods
Ferreira, Kris J., David Simchi-Levi, and He Wang. "Online Network Revenue Management Using Thompson Sampling." Operations Research 66, no. 6 (November–December 2018): 1586–1602.
- March 2017 (Revised March 2018)
- Case
Connections Education: Shifting the Paradigm?
By: John J-H Kim and Aldo Sesia
The online virtual learning (K-12) industry in 2017 remains an industry moving fast with many different players and stakeholders. While online virtual learning is beginning to make its way into school districts, it is far from being mainstream and a long way from full... View Details
Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Education; Learning; Strategy; Online Technology; Education Industry; United States
Kim, John J-H, and Aldo Sesia. "Connections Education: Shifting the Paradigm?" Harvard Business School Case 317-051, March 2017. (Revised March 2018.)
- 01 Feb 2021
- Working Paper Summaries
Learning with People Like Me: The Role of Age-Similar Peers on Online Business Course Engagement
- March 2018
- Case
Summit Public Schools (A)
By: John J-H Kim and Aldo Sesia
Summit Public Schools was a very successful charter management organization with schools in California and Washington State. The students came from a variety of socioeconomic backgrounds, many from economically disadvantaged households. While nearly all of its students... View Details
Keywords: K-12; Online Learning; Virtual Learning; Blended Learning; Secondary Education; Middle School Education; Early Childhood Education; Learning; Business Model; Performance Improvement; Technology
Kim, John J-H, and Aldo Sesia. "Summit Public Schools (A)." Harvard Business School Case 318-067, March 2018.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- 2020
- Other Teaching and Training Material
REMOTE—A Framework for Teaching Online
By: Ayelet Israeli
This article explains the REMOTE Teaching and Learning framework. I developed this framework to synthesize key insights and learnings about the digital classroom. Whether you are new to teaching online or have taught online before, this framework provides helpful... View Details
Israeli, Ayelet. "REMOTE—A Framework for Teaching Online." Harvard Business Publishing, 2020.
- 2020
- Working Paper
Machine Learning for Pattern Discovery in Management Research
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used as an observation for further inductive or abductive research, but should not be treated as the result of a... View Details
Keywords: Machine Learning; Theory Building; Induction; Decision Trees; Random Forests; K-nearest Neighbors; Neural Network; P-hacking; Analytics and Data Science; Analysis
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Harvard Business School Working Paper, No. 19-032, September 2018. (Revised June 2020.)
- 2019
- Working Paper
The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work
By: Hila Lifshitz - Assaf and Frank Nagle
Knowledge work is becoming increasingly challenging as pace of change in the knowledge frontier is increasing. Organizations have created multiple mechanisms to minimize knowledge gaps and increase learning such internal training, mentorship programs as well as... View Details
Keywords: Open Source; Future Of Work; Software Development; Knowledge Work; Online Community; Learning; Knowledge Sharing; Applications and Software; Open Source Distribution; Performance Productivity
Lifshitz - Assaf, Hila, and Frank Nagle. "The Impact of Professionals' Contributions to Online Knowledge Communities on Their Workplace Knowledge Work." Working Paper, April 2019.
- 2021
- Working Paper
Does Who Helps You Impact Your Behavior? Examining the Effects of Social Interactions on Knowledge Sharing in Online Communities
By: Eunkwang Seo, Frank Nagle and Sonali K. Shah
Online communities provide vibrant forums for knowledge sharing and are increasingly being used by individual users and firms to source knowledge and create and capture value. Yet, there is much to learn about how the actions of community members affect other members,... View Details
Keywords: Online Communities; Knowledge Development; Innovation; Reciprocity; Knowledge Sharing; Networks; Innovation and Invention; Interpersonal Communication
Seo, Eunkwang, Frank Nagle, and Sonali K. Shah. "Does Who Helps You Impact Your Behavior? Examining the Effects of Social Interactions on Knowledge Sharing in Online Communities." Harvard Business School Working Paper, No. 21-026, August 2020. (Revised July 2021.)
- February 2011 (Revised November 2012)
- Case
PatientsLikeMe: An Online Community of Patients
By: Sunil Gupta and Jason Riis
PatientsLikeMe (PLM) is an online community where patients share their personal experiences with a disease, find other patients like them, and learn from each other. The company was founded by Jamie and Ben Heywood when their 29-year-old brother was diagnosed with ALS... View Details
Keywords: Business Startups; Health Disorders; Knowledge Sharing; Growth and Development Strategy; Product Launch; Digital Platforms; Social and Collaborative Networks; Health Industry
Gupta, Sunil, and Jason Riis. "PatientsLikeMe: An Online Community of Patients." Harvard Business School Case 511-093, February 2011. (Revised November 2012.)
- January 2014 (Revised May 2015)
- Case
Open English
By: Jeffrey J. Bussgang and Lisa Mazzanti
Open English, a Miami-based startup offering online English language learning services, had more than 30,000 active students across Latin America in 2012. The company had just closed a $43 million financing round in order to rapidly scale its service to the next level.... View Details
Keywords: Technology Strategy; Product Management; Startup; Online Learning; Digital Platforms; Entrepreneurship; Business Startups; Technology Industry; Miami; Venezuela
Bussgang, Jeffrey J., and Lisa Mazzanti. "Open English." Harvard Business School Case 814-020, January 2014. (Revised May 2015.)
- September 2019
- Teaching Note
Western Governors University: 10x Vision
By: William R. Kerr and Coelin P. Scibetta
Teaching Note for HBS No. 819-093. View Details
- March 2011 (Revised September 2011)
- Background Note
Everyone and Everything is Online
By: Stephen P. Bradley and Nancy Bartlett
The twenty-first century digital world enabled mobile, empowered, content-hungry individuals to capture the value of enabling technologies and applications to manage, create, share, and influence content across the creation and delivery spectrum. Users were online in... View Details
Keywords: Communication Technology; Learning; Entertainment; Power and Influence; Internet and the Web; Value; Web Services Industry
Bradley, Stephen P., and Nancy Bartlett. "Everyone and Everything is Online." Harvard Business School Background Note 711-494, March 2011. (Revised September 2011.)
- 26 Jul 2022
- Research & Ideas
Burgers with Bugs? What Happens When Restaurants Ignore Online Reviews
There’s a saying in hospitality: The customer is always right. In fact, customers might be more influential than ever, according to a study of online restaurant reviews. Yelp, the website where consumers share their service experiences,... View Details
- November 2021 (Revised December 2021)
- Supplement
PittaRosso (B): Human and Machine Learning
By: Ayelet Israeli
This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
- July 2014 (Revised August 2014)
- Case
AmazonFresh: Rekindling the Online Grocery Market
By: Rory McDonald, Clayton Christensen, Robin Yang and Ty Hollingsworth
More than a decade after the high-profile failures of several early online grocers, grocery remains the largest single U.S. retail category and one of the few that has not yet migrated online. Amazon began testing its grocery-delivery service, AmazonFresh, in Seattle,... View Details
Keywords: Innovation; New Markets; Grocery; Operations Strategy; Innovation and Invention; Strategy; Emerging Markets; Learning; Service Operations; Internet and the Web; Business Model; Food and Beverage Industry; United States
McDonald, Rory, Clayton Christensen, Robin Yang, and Ty Hollingsworth. "AmazonFresh: Rekindling the Online Grocery Market." Harvard Business School Case 615-013, July 2014. (Revised August 2014.)