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      • December 2023 (Revised February 2024)
      • Case

      Transforming Healthcare Delivery at Karolinska University Hospital

      By: Susanna Gallani, Mary Witkowski, Elena Corsi and Nikolina Jonsson
      The case study examines the journey toward value-based healthcare at Karolinska University Hospital. The hospital's ambitious shift to a patient-centered care delivery model, accompanied by the construction of a new facility, encountered challenges such as high costs,... View Details
      Keywords: Change Management; Transformation; Transition; Business Organization; Communication Strategy; Information Infrastructure; Service Delivery; Organizational Change and Adaptation; Organizational Structure; Health Industry; Sweden; Europe
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      Gallani, Susanna, Mary Witkowski, Elena Corsi, and Nikolina Jonsson. "Transforming Healthcare Delivery at Karolinska University Hospital." Harvard Business School Case 124-070, December 2023. (Revised February 2024.)
      • December 2023
      • Case

      TikTok: The Algorithm Will See You Now

      By: Shikhar Ghosh and Shweta Bagai
      In a world where attention is a scarce commodity, this case explores the meteoric rise of TikTok—an app that transformed from a niche platform for teens into the most visited domain by 2021—surpassing even Google. Its algorithm was a sophisticated mechanism for... View Details
      Keywords: Social Media; Applications and Software; Disruptive Innovation; Business and Government Relations; International Relations; Cybersecurity; Culture; Technology Industry; China; United States; India
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      Ghosh, Shikhar, and Shweta Bagai. "TikTok: The Algorithm Will See You Now." Harvard Business School Case 824-125, December 2023.
      • November–December 2023
      • Article

      Network Centralization and Collective Adaptability to a Shifting Environment

      By: Ethan S. Bernstein, Jesse C. Shore and Alice J. Jang
      We study the connection between communication network structure and an organization’s collective adaptability to a shifting environment. Research has shown that network centralization—the degree to which communication flows disproportionately through one or more... View Details
      Keywords: Network Centralization; Collective Intelligence; Organizational Change and Adaptation; Organizational Structure; Communication; Decision Making; Networks; Adaptation
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      Bernstein, Ethan S., Jesse C. Shore, and Alice J. Jang. "Network Centralization and Collective Adaptability to a Shifting Environment." Organization Science 34, no. 6 (November–December 2023): 2064–2096.
      • October 2023
      • Teaching Note

      Metaverse Wars

      By: Andy Wu and Matt Higgins
      Teaching Note for HBS Case No. 723-431. Metaverse Wars recaps the development of the metaverse concept and the attendant hype, bringing the narrative up to the summer of 2023 when Meta’s big pivot looked more like a costly misstep than a stroke of strategic genius. In... View Details
      Keywords: Metaverse; Strategy; Social Media; Internet and the Web; Technology Adoption; Technological Innovation; Technology Industry
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      Wu, Andy, and Matt Higgins. "Metaverse Wars." Harvard Business School Teaching Note 724-400, October 2023.
      • October 2023 (Revised March 2024)
      • Case

      GameStop: Social Media Finds a Cheat Code (A)

      By: Joseph Pacelli and Sarah Mehta
      This case covers the events leading up to the 2021 GameStop short squeeze. Using GameStop as an illustrative example, the case explores the rise in retail trading, increased financial information sharing on social media, and the gamification of investing enabled by... View Details
      Keywords: Value; Stocks; Financial Markets; Social Media; Investment; Applications and Software; Financial Services Industry; United States
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      Pacelli, Joseph, and Sarah Mehta. "GameStop: Social Media Finds a Cheat Code (A)." Harvard Business School Case 124-005, October 2023. (Revised March 2024.)
      • October 2023 (Revised March 2024)
      • Case

      Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game

      By: Tsedal Neeley, Jeff Huizinga and Emily Grandjean
      Ken Xie, cofounder of cybersecurity giant Fortinet, faced a critical decision that would validate his leadership. Fortinet became the industry’s second-largest pureplay cybersecurity firm by developing differentiated hardware and investing in R&D. However, after a... View Details
      Keywords: Leadership Development; Leadership Style; Marketing Strategy; Communication Strategy; Cybersecurity; Competitive Advantage; Information Technology Industry; United States; Sunnyvale
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      Neeley, Tsedal, Jeff Huizinga, and Emily Grandjean. "Fortinet: Cybersecurity Pioneer Ken Xie Considers the Long Game." Harvard Business School Case 424-016, October 2023. (Revised March 2024.)
      • October–December 2023
      • Article

      A Practical Guide to Conversation Research: How to Study What People Say to Each Other

      By: Michael Yeomans, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber and Alison Wood Brooks
      Conversation—a verbal interaction between two or more people—is a complex, pervasive, and consequential human behavior. Conversations have been studied across many academic disciplines. However, advances in recording and analysis techniques over the last decade have... View Details
      Keywords: Interpersonal Communication; Analytics and Data Science; Research
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      Yeomans, Michael, Katelynn Boland, Hanne K. Collins, Nicole Abi-Esber, and Alison Wood Brooks. "A Practical Guide to Conversation Research: How to Study What People Say to Each Other." Advances in Methods and Practices in Psychological Science 6, no. 4 (October–December 2023).
      • 2023
      • Book

      Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems

      By: Frances X. Frei and Anne Morriss
      Speed has gotten a bad name in business, much of it deserved. When Facebook made "Move fast and break things" an informal company motto, it fueled a widely held belief that we can either make progress or take care of people, one or the other. That a certain amount of... View Details
      Keywords: Leading Change; Performance Improvement; Problems and Challenges; Organizational Change and Adaptation; Organizational Culture
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      Frei, Frances X., and Anne Morriss. Move Fast and Fix Things: The Trusted Leader's Guide to Solving Hard Problems. Harvard Business Review Press, 2023.
      • 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.
      • September 2023
      • Article

      Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic

      By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard and Martial Foucault
      We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic messages on COVID-19 vaccine intentions and behaviour. We... View Details
      Keywords: COVID-19; Vaccination; Vaccine Hesitancy; Information Campaigns; Health Pandemics; Behavior; Information
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      Galasso, Vincenzo, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard, and Martial Foucault. "Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic." BMJ Global Health 8, no. 9 (September 2023).
      • 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
      Keywords: Technology Adoption; Knowledge Sharing
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      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.
      • July 13, 2023
      • Article

      Threads Foreshadows a Big—and Surprising—Shift in Social Media

      By: Scott Duke Kominers and Liang Wu
      Threads, Meta’s Twitter competitor, has become the fastest downloaded app in history. One of the reasons for this is because it allows users to port over their profiles and follows from the already popular social media platform Instagram, also owned by Meta—a feature... View Details
      Keywords: Decentralization; Twitter; Facebook; Instagram; Crypto Economy; Blockchain; Network; Industrial Organization; Competition; Open Innovation; Open Platforms; Open Source Innovation; Social Networks; Social Media; Applications and Software; Information Technology Industry
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      Kominers, Scott Duke, and Liang Wu. "Threads Foreshadows a Big—and Surprising—Shift in Social Media." Harvard Business Review Digital Articles (July 13, 2023).
      • June 2023 (Revised July 2023)
      • Case

      Social Media Background Screening at Fama Technologies

      By: Joseph Pacelli, Jillian Grennan and Alexis Lefort
      Fama Technologies is an online screening company that uses AI to analyze job applicants' publicly available online content for signs of risk and culture fit. The case opens with Ben Mones, founder and CEO, looking to secure funding from venture firms. He is running... View Details
      Keywords: Human Resources; Recruitment; Retention; Selection and Staffing; Organizational Culture; Talent and Talent Management; AI and Machine Learning; Social Media; Venture Capital; Entrepreneurship; United States
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      Pacelli, Joseph, Jillian Grennan, and Alexis Lefort. "Social Media Background Screening at Fama Technologies." Harvard Business School Case 123-010, June 2023. (Revised July 2023.)
      • June 2023
      • Simulation

      Artea Dashboard and Targeting Policy Evaluation

      By: Ayelet Israeli and Eva Ascarza
      Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • June 2023
      • Article

      When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

      By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
      As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details
      Keywords: AI and Machine Learning; Decision Making
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      McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Transactions on Machine Learning Research (TMLR) (June 2023).
      • May 2023
      • Article

      How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates

      By: Caroline Le Pennec and Vincent Pons
      We use two-round survey data from 62 elections in 10 countries since 1952 to study the formation of vote choice, beliefs, and policy preferences and assess how televised debates contribute to this process. Our data include 253,000 observations. We compare the... View Details
      Keywords: Political Debates; TV Debates; Voting; Political Elections; Decision Choices and Conditions
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      Le Pennec, Caroline, and Vincent Pons. "How Do Campaigns Shape Vote Choice? Multi-Country Evidence from 62 Elections and 56 TV Debates." Quarterly Journal of Economics 138 (May 2023): 703–767.
      • 2024
      • Working Paper

      Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services

      By: Natalie Epstein, Santiago Gallino and Antonio Moreno
      Communication channels are often used to improve customer satisfaction and behavior. This paper studies how they can be used to enhance operational performance.
      We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
      Keywords: Customer Satisfaction; Consumer Behavior; Logistics; Communication
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      Epstein, Natalie, Santiago Gallino, and Antonio Moreno. "Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services." Working Paper, August 2024.
      • April 2023
      • Case

      Twitter: The Freedom to Speak Freely and Be Heard

      By: Randolph B. Cohen, Carin-Isabel Knoop and Mel Martin
      In April 2022, serial entrepreneur Elon Musk announced that he would be interested in purchasing the social media site Twitter for $44 billion. With more than 100 million twitter followers, Musk had historically leveraged the site to engage with the customers of his... View Details
      Keywords: Values and Beliefs; Acquisition; Social Media; Power and Influence; Communications Industry; Communications Industry; Communications Industry; United States
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      Cohen, Randolph B., Carin-Isabel Knoop, and Mel Martin. "Twitter: The Freedom to Speak Freely and Be Heard." Harvard Business School Case 223-026, April 2023.
      • 2023
      • Article

      Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.

      By: Edward McFowland III and Cosma Rohilla Shalizi
      Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
      Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
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      McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
      • 2023
      • Working Paper

      Feature Importance Disparities for Data Bias Investigations

      By: Peter W. Chang, Leor Fishman and Seth Neel
      It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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      Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
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