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Show Results For
- All HBS Web
(1,153)
- News (240)
- Research (671)
- Events (17)
- Multimedia (2)
- Faculty Publications (237)
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- September 2017
- Case
Tencent
By: John R. Wells and Gabriel Ellsworth
Tencent had undergone many transformations since it was founded in 1998 as a simple messaging service. In 2017, it was the largest online games provider in China with a wide range of game types, China’s largest social networking service provider with several of the... View Details
Keywords: Tencent; Tencent Holdings; WeChat; Social Networking; Social Networks; Gaming; Gaming Industry; Video Games; Computer Games; Mobile Gaming; Portals; Payments; Mobile Payments; O2O; Online-to-offline; E-commerce; Messaging; Subscription Model; Freemium; Mobile App Industry; Smartphone; PC; Monetization Strategy; Antitrust; Streaming; Cloud Computing; Artificial Intelligence; Big Data; Alibaba; Facebook; JD.com; Tesla; Bundling; Synergies; Digital Strategy; Imitation; Licensing; Agility; Entry Barriers; Online Platforms; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Conglomerates; Business Units; Business Growth and Maturation; Business Organization; For-Profit Firms; Joint Ventures; Restructuring; Communication; Communication Technology; Blogs; Interactive Communication; Interpersonal Communication; Entertainment; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Investment; Investment Portfolio; Price; Profit; Revenue; Geographic Scope; Cross-Cultural and Cross-Border Issues; Global Strategy; Multinational Firms and Management; Globalized Markets and Industries; Business History; Innovation Strategy; Technological Innovation; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Product Positioning; Social Marketing; Network Effects; Emerging Markets; Market Entry and Exit; Digital Platforms; Industry Growth; Monopoly; Media; Distribution Channels; Product Development; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Public Ownership; Problems and Challenges; Business and Government Relations; Groups and Teams; Networks; Opportunities; Social and Collaborative Networks; Strategy; Adaptation; Business Strategy; Commercialization; Competition; Competitive Advantage; Competitive Strategy; Cooperation; Corporate Strategy; Diversification; Expansion; Horizontal Integration; Vertical Integration; Segmentation; Information Technology; Internet and the Web; Mobile and Wireless Technology; Internet and the Web; Applications and Software; Information Infrastructure; Digital Platforms; Internet and the Web; Mobile and Wireless Technology; Value Creation; Communications Industry; Entertainment and Recreation Industry; Financial Services Industry; Information Industry; Information Technology Industry; Media and Broadcasting Industry; Motion Pictures and Video Industry; Music Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; Web Services Industry; Asia; China; Canton (province, China)
Wells, John R., and Gabriel Ellsworth. "Tencent." Harvard Business School Case 718-426, September 2017.
- 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.
- Article
Channel Integration, Sales Dispersion, and Inventory Management
By: Santiago Gallino, Antonio Moreno and Ioannis Stamatopoulos
We study the effects of the introduction of cross-channel functionalities on the overall sales dispersion of retailers and the implications of these effects for inventory management. To do that, we analyze data from a leading U.S. retailer who introduced a... View Details
Keywords: Retail Operations; Online Retail; Channel Integration; Sales Dispersion; Long Tail; Empirical Operations; Inventory Management; Omnichannel Retail; Marketing Channels; Integration; Sales; Logistics; Operations; Management; Retail Industry
Gallino, Santiago, Antonio Moreno, and Ioannis Stamatopoulos. "Channel Integration, Sales Dispersion, and Inventory Management." Management Science 63, no. 9 (September 2017): 2813–2831.
- November 2017
- Teaching Note
Tencent
By: John R. Wells and Gabriel Ellsworth
Teaching Note for HBS No. 718-426.
Tencent had undergone many transformations since it was founded in 1998 as a simple messaging service. In 2017, it was the largest online games provider in China with a wide range of game types, China’s largest social networking... View Details
Keywords: Tencent; Tencent Holdings; WeChat; Social Networking; Social Networks; Gaming; Gaming Industry; Video Games; Computer Games; Mobile Gaming; Portals; Payments; Mobile Payments; O2O; Online-to-offline; E-commerce; Messaging; Subscription Model; Freemium; Mobile App Industry; Smartphone; PC; Monetization Strategy; Antitrust; Streaming; Cloud Computing; Artificial Intelligence; Big Data; Alibaba; Facebook; JD.com; Tesla; Bundling; Synergies; Digital Strategy; Imitation; Licensing; Agility; Entry Barriers; Online Platforms; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Conglomerates; Business Growth and Maturation; Business Organization; For-Profit Firms; Joint Ventures; Restructuring; Communication Technology; Blogs; Interactive Communication; Interpersonal Communication; Entertainment; Film Entertainment; Games, Gaming, and Gambling; Music Entertainment; Investment; Investment Portfolio; Price; Revenue; Geographic Scope; Cross-Cultural and Cross-Border Issues; Global Strategy; Multinational Firms and Management; Globalized Markets and Industries; Business History; Innovation Strategy; Technological Innovation; Business or Company Management; Goals and Objectives; Growth and Development Strategy; Product Positioning; Social Marketing; Network Effects; Market Entry and Exit; Digital Platforms; Industry Growth; Monopoly; Media; Distribution Channels; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Public Ownership; Problems and Challenges; Business and Government Relations; Groups and Teams; Networks; Opportunities; Social and Collaborative Networks; Strategy; Adaptation; Business Strategy; Commercialization; Competition; Competitive Advantage; Competitive Strategy; Cooperation; Corporate Strategy; Diversification; Expansion; Horizontal Integration; Vertical Integration; Information Technology; Internet and the Web; Mobile and Wireless Technology; Applications and Software; Information Infrastructure; Value Creation; Emerging Markets; Product Development; Segmentation; Business Units; Communication; Profit; Communications Industry; Entertainment and Recreation Industry; Financial Services Industry; Information Industry; Information Technology Industry; Media and Broadcasting Industry; Motion Pictures and Video Industry; Music Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; Web Services Industry; Asia; China; Canton (province, China)
- November 2024 (Revised January 2025)
- Case
MiDAS: Automating Unemployment Benefits
By: Shikhar Ghosh and Shweta Bagai
In 2015, the state of Michigan considered whether to nominate its Michigan Integrated Data Automated System (MiDAS) for a prestigious state technology award. Launched in 2013 amid severe budget pressures, the $47 million automated fraud detection system was designed to... View Details
Keywords: Artificial Intelligence; AI; Machine Learning Models; Algorithmic Data; Automation; Benefits; Compensation; Cost Reduction; Government; Fraud; Government Technology; Public Sector; Systems; Systems Integration; Unemployment Insurance; Waste Heat Recovery; AI and Machine Learning; Government Administration; Insurance; Decision Making; Digital Transformation; Employment; Public Administration Industry; United States; Michigan
Ghosh, Shikhar, and Shweta Bagai. "MiDAS: Automating Unemployment Benefits." Harvard Business School Case 825-100, November 2024. (Revised January 2025.)
- 2014
- Working Paper
Digital Discrimination: The Case of Airbnb.com
By: Benjamin Edelman and Michael Luca
Online marketplaces often contain information not only about products, but also about the people selling the products. In an effort to facilitate trust, many platforms encourage sellers to provide personal profiles and even to post pictures of themselves. However,... View Details
Keywords: Prejudice and Bias; Internet and the Web; Race; Trust; Renting or Rental; Accommodations Industry; Real Estate Industry
Edelman, Benjamin, and Michael Luca. "Digital Discrimination: The Case of Airbnb.com." Harvard Business School Working Paper, No. 14-054, January 2014.
- October 2001 (Revised October 2017)
- Case
Pilgrim Bank (A): Customer Profitability
By: Frances X. Frei and Dennis Campbell
Provides a context in which students can explore managerial decision making that is critically informed by data analysis. The setting is a retail bank and the decision making relates to the bank's policy toward online banking. The management team is evaluating whether... View Details
Frei, Frances X., and Dennis Campbell. "Pilgrim Bank (A): Customer Profitability." Harvard Business School Case 602-104, October 2001. (Revised October 2017.)
- 2012
- Article
Exploring Re-Identification Risks in Public Domains
By: Aditi Ramachandran, Lisa Singh, Edward Porter and Frank Nagle
While re-identification of sensitive data has been studied extensively, with the emergence of online social networks and the popularity of digital communications, the ability to use public data for re-identification has increased. This work begins by presenting two... View Details
- 07 Nov 2023
- Research & Ideas
When Glasses Land the Gig: Employers Still Choose Workers Who 'Look the Part'
Seeking a programming gig? Wear glasses and keep your laptop in frame if you want your profile picture to attract recruiters on hiring platforms. A new study finds freelancers are more likely to land work when they “look the part” for a particular job. But, as... View Details
Keywords: by Scott Van Voorhis
- 2013
- Chapter
Privacy Breach Analysis in Social Networks
By: Frank Nagle
Over the past 5–10 years, online social networks have rapidly expanded, and as of March 2012 the largest online social network, Facebook, had over 901 million active members. The wealth of information users post in their social network profiles, as well as the... View Details
Keywords: Crime and Corruption; Social and Collaborative Networks; Social Media; Cybersecurity; Analytics and Data Science
Nagle, Frank. "Privacy Breach Analysis in Social Networks." In Mining Social Networks and Security Informatics, edited by Tansel Ozyer, Zeki Erdem, Jon Rokne, and Suheil Khoury, 63–77. Springer Science + Business Media, 2013.
- February 2010 (Revised October 2010)
- Case
YouTube: Time to Charge Users?
By: Anita Elberse and Sunil Gupta
In January 2010, YouTube, the world's largest online video aggregator, was still seeking to become profitable. Was the time right for Google, YouTube's parent company, to charge users seeking to upload content, as some analysts had suggested—and if so, who should be... View Details
Keywords: Digital Marketing; Business Model; Cost; Profit; Revenue; Consumer Behavior; Internet and the Web; Motion Pictures and Video Industry
Elberse, Anita, and Sunil Gupta. "YouTube: Time to Charge Users?" Harvard Business School Case 510-053, February 2010. (Revised October 2010.)
- 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.)
- April 2004
- Tutorial
Yield Curves and Bond Ratings Tutorial
To preview this online product, Authorized Faculty can call our customer service department at 1-800-545-7685 or 617-783-7600. This online tutorial explains what drives the shape of the yield curve for traded debt securities. Also describes the metrics used by rating... View Details
- 28 Nov 2018
- HBS Case
On Target: Rethinking the Retail Website
data about its online customers—products purchased, browsing habits, items abandoned in shopping carts—yet it wasn’t fully leveraging all that information. The company began to see this huge pile of... View Details
- 07 Jun 2016
- First Look
June 7, 2016
May 2016 American Economic Review: Papers and Proceedings International Data on Measuring Management Practices By: Bloom, Nicholas, Renata Lemos, Raffaella Sadun, Daniela Scur, and John Van Reenen Abstract—We examine methods used to... View Details
Keywords: Sean Silverthorne
- Research Summary
Overview
Empirically, Ryann uses a combination of in-depth qualitative field research and visual and textual archival data to examine moral action at multiple levels of analysis. Through observation and interviews, she aims to capture the lived experience of individuals and... View Details
- 2023
- Working Paper
The Customer Journey as a Source of Information
By: Nicolas Padilla, Eva Ascarza and Oded Netzer
In the face of heightened data privacy concerns and diminishing third-party data access,
firms are placing increased emphasis on first-party data (1PD) for marketing decisions.
However, in environments with infrequent purchases, reliance on past purchases 1PD... View Details
Keywords: Customer Journey; Privacy; Consumer Behavior; Analytics and Data Science; AI and Machine Learning; Customer Focus and Relationships
Padilla, Nicolas, Eva Ascarza, and Oded Netzer. "The Customer Journey as a Source of Information." Harvard Business School Working Paper, No. 24-035, October 2023. (Revised October 2023.)
- September 2022 (Revised November 2022)
- Teaching Note
PittaRosso: Artificial Intelligence-Driven Pricing and Promotion
By: Ayelet Israeli
Teaching Note for HBS Case No. 522-046. 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; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
- 2016
- Working Paper
Reviews, Reputation, and Revenue: The Case of Yelp.com
By: Michael Luca
Do online consumer reviews affect restaurant demand? I investigate this question using a novel dataset combining reviews from the website Yelp.com and restaurant data from the Washington State Department of Revenue. Because Yelp prominently displays a restaurant's... View Details
Keywords: Revenue; Network Effects; Reputation; Social and Collaborative Networks; Food and Beverage Industry; Service Industry; Washington (state, US)
Luca, Michael. "Reviews, Reputation, and Revenue: The Case of Yelp.com." Harvard Business School Working Paper, No. 12-016, September 2011. (Revised March 2016.)
- 28 Jan 2014
- Working Paper Summaries