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September 2018
Article

Do Experts or Crowd-Based Models Produce More Bias? Evidence from Encyclopædia Britannica and Wikipedia

By: Shane Greenstein and Feng Zhu

Organizations today can use both crowds and experts to produce knowledge. While prior work compares the accuracy of crowd-produced and expert-produced knowledge, we compare bias in these two models in the context of contested knowledge, which involves subjective,... View Details

Keywords: Online Community; Collective Intelligence; Wisdom Of Crowds; Bias; Wikipedia; Britannica; Knowledge Production; Knowledge Sharing; Knowledge Dissemination; Prejudice and Bias

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January 2017 (Revised March 2017)
Case

IBM Transforming, 2012–2016: Ginni Rometty Steers Watson

By: Rosabeth Moss Kanter and Jonathan Cohen

To transform IBM for the next technology wave, Ginni Rometty, who became CEO in 2012, led divestment of declining businesses, made acquisitions in digital innovation and cloud computing, formed partnerships with former competitors such as Apple and tech startups, and... View Details

Keywords: Digital; Technological Change; Artificial Intelligence; Data; IBM; Watson; Internet Of Things; Innovation and Invention; Management; Sales; Information Technology; Technological Innovation; Transformation; AI and Machine Learning

October 2021 (Revised June 2022)
Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

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

June 2020
Article

In Generous Offers I Trust: The Effect of First-offer Value on Economically Vulnerable Behaviors

By: M. Jeong, J. Minson and F. Gino

Negotiation scholarship espouses the importance of opening a bargaining situation with an aggressive offer, given the power of first offers to shape concessionary behavior and outcomes. In our research, we identify a surprising consequence to this common prescription.... View Details

Keywords: Attribution; Interpersonal Interaction; Judgment; Social Interaction; Inference; Open Data; Open Materials; Preregistered; Negotiation Offer; Strategy; Behavior; Interpersonal Communication; Trust; Outcome or Result

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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

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)

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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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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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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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

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

Ta-Wei Huang

Ta-Wei (David) Huang is a PhD candidate in Quantitative Marketing at Harvard Business School. His research integrates causal inference and machine learning to address methodological challenges and unintended consequences in targeting, personalization, and online... View Details

25 Sep 2024
HBS Seminar

Nan Clement, MIT Sloan School of Management

2022
Working Paper

E-commerce During COVID: Stylized Facts from 47 Economies

By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo

We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased... View Details

Keywords: COVID-19 Pandemic; Health Pandemics; Spending; Internet and the Web; Global Range; Analysis; E-commerce

Jeff Fossett

Jeff Fossett is a doctoral student in the Technology and Operations Management Unit at Harvard Business School. He is interested in economic and policy questions related to technology platforms and online marketplaces. Previously, Jeff was a member of the Data Science... View Details

Keywords: information technology industry

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

Alberto F. Cavallo

Alberto Cavallo is the Thomas S. Murphy Professor of Business Administration at Harvard Business School, where he teaches in the Business, Government, and the International Economy (BGIE) unit, a Faculty Research Fellow at the National Bureau of Economic Research, a... View Details

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

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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