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      • September 29, 2023
      • Article

      Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI

      By: Simon Friis and James Riley
      When it comes to artificial intelligence and inequality, algorithmic bias rightly receives a lot of attention. But it’s just one way that AI can lead to inequitable outcomes. To truly create equitable AI, we need to consider three forces through which it might make... View Details
      Keywords: AI and Machine Learning; Prejudice and Bias; Equality and Inequality
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      Friis, Simon, and James Riley. "Eliminating Algorithmic Bias Is Just the Beginning of Equitable AI." Harvard Business Review (website) (September 29, 2023).
      • September 2023
      • Teaching Note

      Apple’s iPhone Revolution: Pioneering the Circular Economy

      By: George Serafeim
      Teaching Note for HBS Case 123-089. The case describes the Trade-In system for iPhones that allow iPhones to be refurbished and reused or to be recycled. The case provides information for the students to analyze the financial attractiveness of the Trade-In system and... View Details
      Keywords: Iphone; Smartphone; Technology; Business Model Innovation; Carbon Emissions; Recycling; Business Model; Product Design; Climate Change; Environmental Sustainability; Green Technology; Technology Industry
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      Serafeim, George. "Apple’s iPhone Revolution: Pioneering the Circular Economy." Harvard Business School Teaching Note 124-026, September 2023.
      • September 2023 (Revised January 2024)
      • Case

      RightHand Robotics: Choosing the First Market

      By: Thomas R. Eisenmann and Stacy Straaberg
      In early 2015, RightHand Robotics’s (RHR) leadership faced a set of decisions in commercializing the startup’s robotic picking solution. RHR’s central product was the RightPick integrated robotic picking system which featured a robotic arm, a three-fingered robotic... View Details
      Keywords: Business Startups; Market Entry and Exit; Product; Research and Development; Business Strategy; Commercialization; Information Infrastructure; Technological Innovation; Manufacturing Industry; Technology Industry; United States; Massachusetts
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      Eisenmann, Thomas R., and Stacy Straaberg. "RightHand Robotics: Choosing the First Market." Harvard Business School Case 824-006, September 2023. (Revised January 2024.)
      • 2023
      • Working Paper

      Spatial Mobility, Economic Opportunity, and Crime

      By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
      Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
      Keywords: Urban Development; Transportation Networks; Crime and Corruption; Transportation Industry; Medellín; Colombia; South America
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      Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo, and Audrey Tiew. "Spatial Mobility, Economic Opportunity, and Crime." Harvard Business School Working Paper, No. 24-016, September 2023. (R&R American Economic Review.)
      • 2023
      • Working Paper

      Targeting, Personalization, and Engagement in an Agricultural Advisory Service

      By: Susan Athey, Shawn Cole, Shanjukta Nath and Jessica Zhu
      ICT is increasingly used to deliver customized information in developing countries. We examine whether individually targeting the timing of automated voice calls meaningfully increases engagement in an agricultural advisory service. We define, estimate, and... View Details
      Keywords: Developing Countries and Economies; Knowledge Dissemination; Customization and Personalization; Performance Effectiveness
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      Athey, Susan, Shawn Cole, Shanjukta Nath, and Jessica Zhu. "Targeting, Personalization, and Engagement in an Agricultural Advisory Service." Harvard Business School Working Paper, No. 24-006, August 2023.
      • August 2023
      • Article

      Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel

      By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh
      Practitioners increasingly use machine learning (ML) models, yet models have become more complex and harder to understand. To understand complex models, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use... View Details
      Keywords: AI and Machine Learning; Technological Innovation; Technology Adoption
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      Slack, Dylan, Satyapriya Krishna, Himabindu Lakkaraju, and Sameer Singh. "Explaining Machine Learning Models with Interactive Natural Language Conversations Using TalkToModel." Nature Machine Intelligence 5, no. 8 (August 2023): 873–883.
      • 2023
      • Book

      Precarious Ties: Business and the State in Authoritarian Asia

      By: Meg Rithmire
      Developing Asia has been the site of some of the last century's fastest growing economies as well as some of the world's most durable authoritarian regimes. Many accounts of rapid growth alongside monopolies on political power have focused on crony relationships... View Details
      Keywords: Business and Government Relations; Developing Countries and Economies; Economic Systems; Crime and Corruption; China; Indonesia; Malaysia
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      Rithmire, Meg. Precarious Ties: Business and the State in Authoritarian Asia. Oxford University Press, 2023.
      • 2025
      • Working Paper

      Managing Remote Work Quality: Evidence from Auditing Management Systems Standards

      By: Ashley Palmarozzo, Michael W. Toffel and Melissa Ouellet
      Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality. We investigate the quality effects of remote work in a context in which remote work separates workers... View Details
      Keywords: Audit; Auditing; Remote Work; Compliance; Assessment; Environment; Management Systems; Quality Management; Quality Management System; Quality; Operations; Supply Chain Management; Environmental Management; Safety
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      Palmarozzo, Ashley, Michael W. Toffel, and Melissa Ouellet. "Managing Remote Work Quality: Evidence from Auditing Management Systems Standards." Harvard Business School Working Paper, No. 24-002, July 2023. (Revised February 2025.)
      • July 2023 (Revised July 2023)
      • Background Note

      Generative AI Value Chain

      By: Andy Wu and Matt Higgins
      Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
      Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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      Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
      • June 2023
      • Supplement

      Clash of Two Giants Simulation Exercise

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complementary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Customer Acquisition; Platform Strategy; Technology Platform; Digital Platforms; Competitive Strategy; Network Effects
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise." Harvard Business School PowerPoint Supplement 623-717, June 2023.
      • June 2023
      • Exercise

      Clash of Two Giants Simulation Exercise Instructions

      By: Feng Zhu and Marco Iansiti
      Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
      Keywords: Platform Strategies; Technology Platform; Customer Acquisition; Network Effects; Digital Platforms; Marketplace Matching; Strategy
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      Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise Instructions." Harvard Business School Exercise 623-092, June 2023.
      • June 2023 (Revised October 2024)
      • Teaching Note

      Clash of Two Giants Simulation Exercise Teaching Note

      By: Feng Zhu
      Teaching Note for HBS Case No. 623-092. Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides—consumers and those providing applications or services—need access... View Details
      Keywords: Platform Strategy; Customer Acquisition; Technology Platform; Competitive Strategy; Network Effects; Digital Platforms; Management Skills
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      Zhu, Feng. "Clash of Two Giants Simulation Exercise Teaching Note." Harvard Business School Teaching Note 623-093, June 2023. (Revised October 2024.)
      • June 2023
      • Article

      The Salary Taboo: Privacy Norms and the Diffusion of Information

      By: Zoë Cullen and Ricardo Perez-Truglia
      The limited diffusion of salary information has implications for labor markets, such as wage discrimination policies and collective bargaining. Access to salary information is believed to be limited and unequal, but there is little direct evidence on the sources of... View Details
      Keywords: Search Costs; Privacy; Norms; Compensation; Financial Industry; Field Experiment; Knowledge Dissemination; Equality and Inequality; Gender; Compensation and Benefits; Societal Protocols
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      Cullen, Zoë, and Ricardo Perez-Truglia. "The Salary Taboo: Privacy Norms and the Diffusion of Information." Art. 104890. Journal of Public Economics 222 (June 2023).
      • 2023
      • Working Paper

      Culture as a Signal: Evidence from a Natural Field Experiment

      By: Wei Cai, Dennis Campbell and Jiehang Yu
      The importance of culture as an informal management control system is increasingly acknowledged in academia. While prior research mainly focuses on the value of culture on internal stakeholders (e.g., employees), we examine whether culture serves as a credible signal... View Details
      Keywords: Organizational Culture; Groups and Teams; Customer Focus and Relationships
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      Cai, Wei, Dennis Campbell, and Jiehang Yu. "Culture as a Signal: Evidence from a Natural Field Experiment." SSRN Working Paper Series, No. 4447603, May 2023.
      • 15 Apr 2023
      • Conference Presentation

      Autonomous Systems

      By: Hise O. Gibson, Rob Wittman, Brandon Tseng, Nini Hamrick and Tim Booher
      Autonomous systems have been on the front lines and front pages in the war in Ukraine, yet there are many unanswered questions regarding their future role and capabilities. Currently, these systems are employed in myriad use cases in logistics, intelligence, and... View Details
      Keywords: War; Technology Adoption
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      "Autonomous Systems." Paper presented at the Technology and National Security Conference, MIT Sloan School of Management, Global Security Technology Club and Harvard Business School, Aerospace & Defense Club, Cambridge, MA, USA, April 15, 2023.
      • April 2023 (Revised September 2023)
      • Case

      Levels: The Remote, Asynchronous, Deep Work Management System

      By: Joseph B. Fuller and George Gonzalez
      Levels is a highly innovative startup in the health care space. They intend to revolutionize health by linking behavior—eating, exercise, sleeping, etc.—to changes in metabolism. They believe metabolic health can be managed through careful monitoring of changes in... View Details
      Keywords: Applications and Software; Business Startups; Organizational Culture; Management Style; Technology Industry; United States
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      Fuller, Joseph B., and George Gonzalez. "Levels: The Remote, Asynchronous, Deep Work Management System." Harvard Business School Case 323-069, April 2023. (Revised September 2023.)
      • Spring 2023
      • Article

      Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field

      By: Wei Cai, Susanna Gallani and Jee-Eun Shin
      This study examines how the design of incentive contracts for tasks defined as workers’ official responsibilities (i.e., standard tasks) influences workers’ propensity to engage in employee-initiated innovation (EII). EII corresponds to innovation activities that are... View Details
      Keywords: Employee-initiated Innovation; Contract Design; Rank-and-file; Extra-role Behaviors; Compensation and Benefits; Motivation and Incentives; Innovation and Management
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      Cai, Wei, Susanna Gallani, and Jee-Eun Shin. "Incentive Contract Design and Employee-Initiated Innovation: Evidence from the Field." Contemporary Accounting Research 40, no. 1 (Spring 2023): 292–323.
      • April 2023
      • Article

      Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach

      By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
      Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
      Keywords: Perception; Behavior; Surveys; Auto Industry
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      Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
      • 2023
      • Working Paper

      The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities

      By: David S. Scharfstein and Sergey Chernenko
      We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in... View Details
      Keywords: Racial Disparity; Paycheck Protection Program; Measurement Error; AI and Machine Learning; Race; Measurement and Metrics; Equality and Inequality; Prejudice and Bias; Forecasting and Prediction; Outcome or Result
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      Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
      • March 2023
      • Teaching Note

      VideaHealth: Building the AI Factory

      By: Karim R. Lakhani
      Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details
      Keywords: AI and Machine Learning; Applications and Software; Business Model; Marketing Strategy; Product Development; Health Industry; Technology Industry
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      Lakhani, Karim R. "VideaHealth: Building the AI Factory." Harvard Business School Teaching Note 623-073, March 2023.
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