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Show Results For

  • All HBS Web  (1,172)
    • News  (245)
    • Research  (678)
    • Events  (17)
    • Multimedia  (2)
  • Faculty Publications  (241)
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  • October 2021 (Revised March 2022)
  • Supplement

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli and Fabrizio Fantini
PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... 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; Retail Industry; Italy
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Israeli, Ayelet, and Fabrizio Fantini. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Spreadsheet Supplement 522-710, October 2021. (Revised March 2022.)
  • 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)
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Wells, John R., and Gabriel Ellsworth. "Tencent." Harvard Business School Case 718-426, September 2017.
  • October 2023
  • Article

Speedy Activists: Firm Response Time to Sociopolitical Events Influences Consumer Behavior

By: Jimin Nam, Maya Balakrishnan, Julian De Freitas and Alison Wood Brooks
Organizations face growing pressure from their consumers and stakeholders to take public stances on sociopolitical issues. However, many are hesitant to do so lest they make missteps, promises they cannot keep, appear inauthentic, or alienate consumers, employees, or... View Details
Keywords: Brands and Branding; Public Opinion; Social Media; Social Issues
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Nam, Jimin, Maya Balakrishnan, Julian De Freitas, and Alison Wood Brooks. "Speedy Activists: Firm Response Time to Sociopolitical Events Influences Consumer Behavior." Special Issue on Consumer Insights from Text Analysis edited by Grant Packard, Sarah G. Moore, and Jonah Berger. Journal of Consumer Psychology 33, no. 4 (October 2023): 632–644.
  • 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
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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
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Gallino, Santiago, Antonio Moreno, and Ioannis Stamatopoulos. "Channel Integration, Sales Dispersion, and Inventory Management." Management Science 63, no. 9 (September 2017): 2813–2831.
  • September 2019 (Revised September 2019)
  • Case

Facebook Fake News in the Post-Truth World

By: John R. Wells, Carole A. Winkler and Benjamin Weinstock
In August 2019, Mark Zuckerberg, founder and CEO of Facebook, was surrounded by controversy. The first major storm of protest followed the surprise election of Donald Trump as President of the United States on November 8, 2016; many put the blame at the door of fake... View Details
Keywords: Facebook; Fake News; Mark Zuckerberg; Donald Trump; Algorithms; Social Networks; Partisanship; Social Media; App Development; Instagram; WhatsApp; Smartphone; Silicon Valley; Office Space; Digital Strategy; Democracy; Entry Barriers; Online Platforms; Controversy; Tencent; Agility; Social Networking; Gaming; Gaming Industry; Computer Games; Mobile Gaming; Messaging; Monetization Strategy; Advertising; Digital Marketing; Business Ventures; Acquisition; Mergers and Acquisitions; Business Growth and Maturation; Business Headquarters; Business Organization; For-Profit Firms; Trends; Communication; Communication Technology; Forms of Communication; Interactive Communication; Interpersonal Communication; Talent and Talent Management; Crime and Corruption; Voting; Demographics; Entertainment; Games, Gaming, and Gambling; Moral Sensibility; Values and Beliefs; Initial Public Offering; Profit; Revenue; Geography; Geographic Location; Global Range; Local Range; Country; Cross-Cultural and Cross-Border Issues; Globalized Firms and Management; Globalized Markets and Industries; Governing Rules, Regulations, and Reforms; Government and Politics; International Relations; National Security; Political Elections; Business History; Recruitment; Selection and Staffing; Information Management; Information Publishing; News; Newspapers; Innovation and Management; Innovation Strategy; Technological Innovation; Knowledge Dissemination; Human Capital; Law; Leadership Development; Leadership Style; Leading Change; Business or Company Management; Crisis Management; Goals and Objectives; Growth and Development Strategy; Growth Management; Management Practices and Processes; Management Style; Management Systems; Management Teams; Managerial Roles; Marketing Channels; Social Marketing; Network Effects; Market Entry and Exit; Digital Platforms; Marketplace Matching; Industry Growth; Industry Structures; Monopoly; Media; Product Development; Service Delivery; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Organizational Structure; Public Ownership; Problems and Challenges; Business and Community Relations; Business and Government Relations; Groups and Teams; Networks; Rank and Position; Opportunities; Behavior; Emotions; Identity; Power and Influence; Prejudice and Bias; Reputation; Social and Collaborative Networks; Status and Position; Trust; Society; Civil Society or Community; Culture; Public Opinion; Social Issues; Societal Protocols; Strategy; Adaptation; Business Strategy; Commercialization; Competition; Competitive Advantage; Competitive Strategy; Corporate Strategy; Customization and Personalization; Diversification; Expansion; Horizontal Integration; Segmentation; Information Technology; Internet and the Web; Mobile and Wireless Technology; Applications and Software; Information Infrastructure; Valuation; Advertising Industry; Communications Industry; Entertainment and Recreation Industry; Information Industry; Information Technology Industry; Journalism and News Industry; Media and Broadcasting Industry; Service Industry; Technology Industry; Telecommunications Industry; Video Game Industry; United States; California; Sunnyvale; Russia
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Wells, John R., Carole A. Winkler, and Benjamin Weinstock. "Facebook Fake News in the Post-Truth World." Harvard Business School Case 720-373, September 2019. (Revised September 2019.)
  • 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)
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Wells, John R., and Gabriel Ellsworth. "Tencent." Harvard Business School Teaching Note 718-457, November 2017.
  • 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
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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
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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
Keywords: Banks and Banking; Customers; Profit; Banking Industry
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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
Keywords: Safety; Analytics and Data Science; Social and Collaborative Networks
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Ramachandran, Aditi, Lisa Singh, Edward Porter, and Frank Nagle. "Exploring Re-Identification Risks in Public Domains." Proceedings of the Annual International Conference on Privacy, Security, and Trust (2012).
  • 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
  • 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
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Elberse, Anita, and Sunil Gupta. "YouTube: Time to Charge Users?" Harvard Business School Case 510-053, February 2010. (Revised October 2010.)
  • 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
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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.
  • 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
Keywords: by Dina Gerdeman; Retail
  • 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
  • April 2004
  • Tutorial

Yield Curves and Bond Ratings Tutorial

By: William E. Fruhan Jr.
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
Keywords: Bonds; Investment Return; Financial Services Industry
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"Yield Curves and Bond Ratings Tutorial." Harvard Business School Tutorial 204-712, April 2004.
  • 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
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Israeli, Ayelet. "PittaRosso (B): Human and Machine Learning." Harvard Business School Supplement 522-047, November 2021. (Revised December 2021.)
  • 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
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Israeli, Ayelet. "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion." Harvard Business School Teaching Note 523-020, September 2022. (Revised November 2022.)
  • 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
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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.)
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