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    • All HBS Web  (1,137)
      • Faculty Publications  (92)

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      • Article

      Why Build in Web3

      By: Jad Esber and Scott Duke Kominers
      A major change is coming to the internet. While today’s dominant platforms have guarded their troves of user data and maintained an advantage through network effects, new companies—working in what they're calling a “Web3” model—are proposing a new value proposition to...  View Details
      Keywords: Blockchain; User Experience; Digital Platforms; Network Effects; Internet and the Web; Competition; Web Services Industry
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      Esber, Jad, and Scott Duke Kominers. "Why Build in Web3." Harvard Business Review Digital Articles (May 16, 2022).
      • May 2022
      • Case

      The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022

      By: David B. Yoffie and Daniel Fisher
      In 2022, after five years of pursuing a new "AI-first" strategy, Google had captured a sizeable share of the American and global markets for voice assistants. Google Assistant was used by hundreds of millions of users around the world, but Amazon retained the largest...  View Details
      Keywords: Strategy; Artificial Intelligence; Deep Learning; Voice Assistants; Smart Home; Globalized Markets and Industries; Competitive Strategy; Digital Platforms; Technology Industry; United States
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      Yoffie, David B., and Daniel Fisher. "The Voice War Continues: Hey Google vs. Alexa vs. Siri in 2022." Harvard Business School Case 722-462, May 2022.
      • Article

      Pattern Detection in the Activation Space for Identifying Synthesized Content

      By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
      Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...  View Details
      Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
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      Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content." Pattern Recognition Letters 153 (January 2022): 207–213.
      • December 2021
      • Article

      Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly

      By: Andrea Bellovary, Nathaniel Young and Amit Goldenberg
      Negativity has historically dominated news content; however, little research has examined how news organizations use affect on social media, where content is generally positive. In the current project we ask a few questions: Do news organizations on Twitter use...  View Details
      Keywords: Negative Press; Twitter; Political Affiliation; Affect; News; Media; Internet and the Web; Emotions; Perspective; Social Media
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      Bellovary, Andrea, Nathaniel Young, and Amit Goldenberg. "Left- and Right-Leaning News Organizations Use Negative Emotional Content and Elicit User Engagement Similarly." Affective Science 2, no. 4 (December 2021): 391–396.
      • Article

      Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

      By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
      As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...  View Details
      Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
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      Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • November 2021
      • Article

      Ratings, Reviews, and the Marketing of New Products

      By: Itay P. Fainmesser, Dominique Olié Lauga and Elie Ofek
      We study how user-generated content (UGC) about new products impacts a firm's advertising and pricing decisions and the effect on profits and market dynamics. We construct a two-period model where consumers value quality and are heterogeneous in their taste for the new...  View Details
      Keywords: Online Reviews; Product Ratings; Social Networks; Word Of Mouth; Pricing; User-generated Content; Advertising; Product Marketing; Price; Consumer Behavior; Product Positioning; Social Media
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      Fainmesser, Itay P., Dominique Olié Lauga, and Elie Ofek. "Ratings, Reviews, and the Marketing of New Products." Management Science 67, no. 11 (November 2021): 7023–7045.
      • October 2021
      • Case

      (180) Days of Quibi

      By: David J. Collis and Terrence Shu
      Mobile streaming app Quibi was ready to take the entertainment world by storm at its April 2020 launch. Backed by $1.75 billion, influential investors from Hollywood to Wall Street eagerly anticipated early success for this brainchild of Meg Whitman, former CEO of...  View Details
      Keywords: Corporate Strategy; Strategy; Business Model; Business Startups; Mobile Technology
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      Collis, David J., and Terrence Shu. "(180) Days of Quibi." Harvard Business School Case 722-377, October 2021.
      • October 2021
      • Article

      Can Self-Regulation Save Digital Platforms?

      By: Michael A. Cusumano, Annabelle Gawer and David B. Yoffie
      This article explores some of the critical challenges facing self-regulation and the regulatory environment for digital platforms. We examine several historical examples of firms and industries that attempted self-regulation before the Internet. All dealt with similar...  View Details
      Keywords: Self-regulation; Government Regulation; Digital Platforms; Governing Rules, Regulations, and Reforms
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      Cusumano, Michael A., Annabelle Gawer, and David B. Yoffie. "Can Self-Regulation Save Digital Platforms?" Industrial and Corporate Change 30, no. 5 (October 2021): 1259–1285.
      • 2021
      • Working Paper

      The Value of Data and Its Impact on Competition

      By: Marco Iansiti
      Common regulatory perspective on the relationship between data, value, and competition in online platforms has increasingly centered on the volume of data accumulated by incumbent firms. This view posits the existence of "data network effects," where more data leads to...  View Details
      Keywords: Online Platforms; Data Network Effects; Analytics and Data Science; Value; Competition
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      Iansiti, Marco. "The Value of Data and Its Impact on Competition." Harvard Business School Working Paper, No. 22-002, July 2021.
      • Article

      Biosimilars and Follow-On Products in the United States: Adoption, Prices, and Users

      By: Ariel Dora Stern, Jacqueline L. Chen, Melissa Ouellet, Mark R. Trusheim, Zeid El-Kilani, Amber Jessup and Ernst R. Berndt
      Biologic drugs account for a disproportionate share of the increase in pharmaceutical spending in the U.S. and worldwide. Against this backdrop, many look to the expanding market for biosimilars—follow-on products to biologic drugs—as a vehicle for controlling...  View Details
      Keywords: Pharmaceuticals; Drug Spending; Drug Pricing; Health Care and Treatment; Spending; Price; Markets; Cost Management; United States
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      Stern, Ariel Dora, Jacqueline L. Chen, Melissa Ouellet, Mark R. Trusheim, Zeid El-Kilani, Amber Jessup, and Ernst R. Berndt. "Biosimilars and Follow-On Products in the United States: Adoption, Prices, and Users." Health Affairs 40, no. 6 (June 2021).
      • May 2021
      • Article

      Ideology and Composition Among an Online Crowd: Evidence From Wikipedians

      By: Shane Greenstein, Grace Gu and Feng Zhu
      Online communities bring together participants from diverse backgrounds and often face challenges in aggregating their opinions. We infer lessons from the experience of individual contributors to Wikipedia articles about U.S. politics. We identify two factors that...  View Details
      Keywords: User Segregation; Online Community; Contested Knowledge; Collective Intelligence; Ideology; Bias; Wikipedia; Knowledge Sharing; Perspective; Government and Politics
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      Greenstein, Shane, Grace Gu, and Feng Zhu. "Ideology and Composition Among an Online Crowd: Evidence From Wikipedians." Management Science 67, no. 5 (May 2021): 3067–3086.
      • May 2021
      • Article

      Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being

      By: Lisa Rotenstein, Robert S. Huckman and Christine K. Cassel
      The COVID-19 crisis has forced physicians to make daily decisions that require knowledge and skills they did not acquire as part of their biomedical training. Physicians are being called upon to be both managers—able to set processes and structures—and leaders—capable...  View Details
      Keywords: Health Care and Treatment; Management; Leadership; Health Pandemics; Health Industry
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      Rotenstein, Lisa, Robert S. Huckman, and Christine K. Cassel. "Making Doctors Effective Managers and Leaders: A Matter of Health and Well-Being." Academic Medicine 96, no. 5 (May 2021).
      • 2021
      • Article

      Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

      By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
      Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the...  View Details
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      Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
      • 2021
      • Working Paper

      Time Dependency, Data Flow, and Competitive Advantage

      By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
      Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government...  View Details
      Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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      Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
      • 2021
      • Working Paper

      Exclusive Dealing and Entry by Competing Two-Sided Platforms

      By: Cristian Chica, Kenneth Chuk and Jorge Tamayo
      We study competition between horizontally differentiated platforms offering exclusive and non-exclusive contracts to one side of the market (content providers). The introduction of non-exclusive contracts in addition to exclusive contracts softens the competition for...  View Details
      Keywords: Two-Sided Markets; Platform Price Competition; Network Externalities; Exclusive Contracts; Multi-homing; Two-Sided Platforms; Price; Competition; Contracts
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      Chica, Cristian, Kenneth Chuk, and Jorge Tamayo. "Exclusive Dealing and Entry by Competing Two-Sided Platforms." Harvard Business School Working Paper, No. 21-092, March 2021.
      • Article

      Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses

      By: Kaivalya Rawal and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to...  View Details
      Keywords: Predictive Models; Decision Making; Framework; Mathematical Methods
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      Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
      • September 2020
      • Case

      Hot Wheels: Launching The Mixed Play Experience

      By: Elie Ofek, Andres Terech and Nicole Tempest Keller
      Chris Down, Global Brand General Manager for Hot Wheels, and his team from the Advanced Play Group within Mattel, Inc., had developed an entirely new “mixed play” product experience that blended familiar Hot Wheels play in the physical world with breakthrough play in...  View Details
      Keywords: Toys; Go-to-market Strategy; Product Development; Technological Innovation; Product Launch; Product Positioning; Decision Making; Marketing; Strategy; Los Angeles
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      Ofek, Elie, Andres Terech, and Nicole Tempest Keller. "Hot Wheels: Launching The Mixed Play Experience." Harvard Business School Case 521-017, September 2020.
      • September 2020 (Revised December 2020)
      • Case

      Hot Wheels at Mattel: Reinventing the Wheel

      By: Elie Ofek, Andres Terech and Nicole Tempest Keller
      In 2017, Chris Down, Global Brand General Manager for Hot Wheels, and his team from the Advanced Play Group within Mattel, Inc., were considering which innovation path to pursue in order to "future proof" the Hot Wheels franchise going forward. Hot Wheels was the...  View Details
      Keywords: Toys; Industry Evolution; Innovation Strategy; Product Development; Growth and Development Strategy; Technological Innovation; Organizational Change and Adaptation; Decision Making; Digital Transformation
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      Ofek, Elie, Andres Terech, and Nicole Tempest Keller. "Hot Wheels at Mattel: Reinventing the Wheel." Harvard Business School Case 521-015, September 2020. (Revised December 2020.)
      • June 2020
      • Article

      Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions

      By: Ron Adner, Jianqing Chen and Feng Zhu
      We study compatibility decisions of two competing platform owners that generate profits through both hardware sales and royalties from content sales. We consider a game-theoretic model in which two platforms offer different standalone utilities to users. We find that...  View Details
      Keywords: Compatibility; Platform Competition; Profit Foci; Two-Sided Platforms; Competition; Profit; Decision Making
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      Adner, Ron, Jianqing Chen, and Feng Zhu. "Frenemies in Platform Markets: Heterogeneous Profit Foci as Drivers of Compatibility Decisions." Management Science 66, no. 6 (June 2020): 2432–2451.
      • March 2020
      • Case

      Hotstar

      By: Krishna G. Palepu and Kairavi Dey
      Hotstar was an online video streaming platform owned by Star India Private Limited, a wholly owned subsidiary of the Walt Disney Corporation. Since its launch in 2015, the platform had grown to offer over 100,000 hours of TV content, movies in nine Indian languages...  View Details
      Keywords: Corporate Entrepreneurship; Television Entertainment; Disruption; Business Strategy; Entertainment and Recreation Industry; Media and Broadcasting Industry; India; Mumbai
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      Palepu, Krishna G., and Kairavi Dey. "Hotstar." Harvard Business School Case 120-015, March 2020.
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