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      • January 2023 (Revised April 2023)
      • Case

      Cobalt Robotics: Scaling Workplace Robotics

      By: Jeffrey F. Rayport, Nicole Tempest Keller and Kyung Keun Park
      Founded in 2016, Cobalt Robotics, based in Fremont, California, was a Robot-as-a-Service (RaaS) company that built autonomous workplace robots that were designed to replace or supplement human security guards. Outfitted with over 60 sensors, Cobalt robots patrolled... View Details
      Keywords: Information Infrastructure; Disruptive Innovation; Innovation and Invention; Marketing Strategy; Marketing Channels; Customers; Technology Industry; United States; California
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      Rayport, Jeffrey F., Nicole Tempest Keller, and Kyung Keun Park. "Cobalt Robotics: Scaling Workplace Robotics." Harvard Business School Case 823-096, January 2023. (Revised April 2023.)
      • 2023
      • Working Paper

      The Link Between Integrative Bargaining and Leadership Evaluations

      By: Julian J. Zlatev and Francis J. Flynn
      We draw from implicit leadership theory and the dual concern theory of conflict resolution to posit a link between negotiation style and leadership evaluations. Specifically, we propose that individuals who are more skilled at integrative, but not distributive,... View Details
      Keywords: Prosocial Behavior; Leadership; Negotiation; Conflict and Resolution; Performance Evaluation
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      Zlatev, Julian J., and Francis J. Flynn. "The Link Between Integrative Bargaining and Leadership Evaluations." Harvard Business School Working Paper, No. 23-044, January 2023.
      • January 2023 (Revised June 2023)
      • Case

      Replika: Embodying AI

      By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
      Replika was a virtual AI companion that provided a way for people to process their emotions, build connections in a safe environment, and get through periods of loneliness. The chatbot fulfilled a user's need for a friend, romantic partner, or purely an emotional... View Details
      Keywords: AI; AI and Machine Learning; Applications and Software; Human Needs; California
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      Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023. (Revised June 2023.)
      • 8 Sep 2023
      • Conference Presentation

      Chatbots and Mental Health: Insights into the Safety of Generative AI

      By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni
      Keywords: AI and Machine Learning; Well-being
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      De Freitas, Julian, K. Uguralp, Z. Uguralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Paper presented at the Business & Generative AI Workshop, Wharton School, AI at Wharton, San Francisco, CA, United States, September 8, 2023.
      • January–February 2023
      • Article

      Data-Driven COVID-19 Vaccine Development for Janssen

      By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
      The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
      Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
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      Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
      • 2023
      • Article

      Experimental Evaluation of Individualized Treatment Rules

      By: Kosuke Imai and Michael Lingzhi Li
      The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
      Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
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      Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
      • January–February 2023
      • Article

      External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures

      By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
      We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
      Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
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      DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
      • January 2023
      • Article

      Inequality Regimes in Sub-Saharan Africa from Precolonial Times to the Present

      By: Ewout Frankema, Michiel de Haas and Marlous van Waijenburg
      While current levels of economic inequality in Sub-Saharan Africa receive ample attention from academics and policymakers, we know little about the long-run evolution of inequality in the region. Even the new and influential ‘global inequality literature’ that is... View Details
      Keywords: Economic Inequalty; Equality and Inequality; History; Africa
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      Frankema, Ewout, Michiel de Haas, and Marlous van Waijenburg. "Inequality Regimes in Sub-Saharan Africa from Precolonial Times to the Present." African Affairs 122, no. 486 (January 2023): 57–94.
      • January–February 2023
      • Article

      Triadic Advocacy Work

      By: Summer R. Jackson and Katherine C. Kellogg
      Scholars of street-level bureaucracy and institutional research focus primarily on the relationships between advocates and their larger bureaucratic and social systems, assuming that advocates have little need to satisfy their beneficiaries. We find otherwise in our... View Details
      Keywords: Occupations And Professions; Ethnography; Power And Politics; Work And Organizations; Advocacy; Public Management; Justice
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      Jackson, Summer R., and Katherine C. Kellogg. "Triadic Advocacy Work." Organization Science 34, no. 1 (January–February 2023): 456–483.
      • December 2022 (Revised January 2025)
      • Case

      Akooda: Charging Toward Operational Intelligence

      By: Christopher Stanton and Mel Martin
      The Akooda case describes the challenges confronting founder and CEO Yuval Gonczarowski (MBA ‘17) in 2022 as he attempts to boost sales. Launched in November 2020, Akooda was an AI company that mined 20 different sources of digital data, from tools like Slack, Google... View Details
      Keywords: Data Mining; Productivity; Monitoring; Data Analysis; AI and Machine Learning; Knowledge Management; Operations; Problems and Challenges; Employee Relationship Management; Information Technology Industry; Technology Industry; Information Industry; Boston; Israel
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      Stanton, Christopher, and Mel Martin. "Akooda: Charging Toward Operational Intelligence." Harvard Business School Case 823-018, December 2022. (Revised January 2025.)
      • Working Paper

      Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry

      By: Dominika Kinga Randle and Gary P. Pisano
      An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable,” resources and point to redeployment of... View Details
      Keywords: Growth and Development Strategy; Technology Adoption; Diversification; Market Entry and Exit; Transformation
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      Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Harvard Business School Working Paper, No. 23-032, December 2022.
      • 2023
      • Working Paper

      Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

      By: Daniel Yue, Paul Hamilton and Iavor Bojinov
      Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details
      Keywords: Analytics and Data Science
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      Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
      • 2022
      • Article

      Becoming a Learning Organization While Enhancing Performance: The Case of LEGO

      By: Thomas Borup Kristensen, Henrik Saabye and Amy Edmondson
      Purpose - The purpose of this study is to empirically test how problem-solving lean practices, along with leaders as learning facilitators in an action learning approach, can be transferred from a production context to a knowledge work context for the purpose... View Details
      Keywords: Performance Efficiency; Learning; Organizational Change and Adaptation
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      Kristensen, Thomas Borup, Henrik Saabye, and Amy Edmondson. "Becoming a Learning Organization While Enhancing Performance: The Case of LEGO." International Journal of Operations & Production Management 42, no. 13 (2022): 438–481.
      • 2022
      • Article

      Efficiently Training Low-Curvature Neural Networks

      By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
      Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
      Keywords: AI and Machine Learning
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      Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
      • December 2022
      • Article

      I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure

      By: Byungyeon Kim, Oded Koenigsberg and Elie Ofek
      Innovations embody novel features or cutting-edge components aimed at delivering desired customer benefits. Oftentimes, however, we observe the need to recall new products shortly after their introduction. Indeed, a firm may rush an innovation to market in an attempt... View Details
      Keywords: Innovation Management; Innovation And Strategy; Product Development Strategy; Product Introduction; Quality Control; Product Recalls; Game Theory; Market Timing; Innovation Strategy; Product Launch; Product Development
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      Kim, Byungyeon, Oded Koenigsberg, and Elie Ofek. "I Don't 'Recall': The Decision to Delay Innovation Launch to Avoid Costly Product Failure." Management Science 68, no. 12 (December 2022): 8889–8908.
      • December 2022
      • Article

      The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance

      By: Alexandra C. Feldberg
      This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details
      Keywords: Gender Stereotypes; Gender; Managerial Roles; Performance Expectations
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      Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
      • November 2022 (Revised March 2024)
      • Case

      Replika AI: Monetizing a Chatbot

      By: Julian De Freitas and Nicole Tempest Keller
      In early 2018, Eugenia Kuyda, co-founder and CEO of San Francisco-based chatbot Replika AI, was deciding how to monetize the app she had built. Launched in 2017, Replika was a consumer AI “companion app” developed by a team of AI software engineers originally based in... View Details
      Keywords: Mental Health; Subscriber Models; TAM; Monetization Strategy; Marketing Strategy; Product Marketing; AI and Machine Learning; Applications and Software; Product Positioning; Health Disorders; Technology Industry
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      De Freitas, Julian, and Nicole Tempest Keller. "Replika AI: Monetizing a Chatbot." Harvard Business School Case 523-016, November 2022. (Revised March 2024.)
      • November 2022 (Revised December 2024)
      • Case

      Hugging Face (A): Serving AI on a Platform

      By: Shane Greenstein, Daniel Yue, Sarah Gulick and Kerry Herman
      It is fall 2022, and open-source AI model company Hugging Face is considering its three areas of priorities: platform development, supporting the open-source community, and pursuing cutting-edge scientific research. As it expands services for enterprise clients, which... View Details
      Keywords: Community; Open-source; AI and Machine Learning; Product Development; Networks; Service Delivery; Research; Governance; Business and Stakeholder Relations; Information Industry; Technology Industry; United States
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      Greenstein, Shane, Daniel Yue, Sarah Gulick, and Kerry Herman. "Hugging Face (A): Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised December 2024.)
      • 2022
      • Article

      A Human-Centric Take on Model Monitoring

      By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
      Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
      Keywords: AI and Machine Learning; Research and Development; Demand and Consumers
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      Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
      • November 2022
      • Article

      A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups

      By: Anjali M. Bhatt, Amir Goldberg and Sameer B. Srivastava
      When the social boundaries between groups are breached, the tendency for people to erect and maintain symbolic boundaries intensifies. Drawing on extant perspectives on boundary maintenance, we distinguish between two strategies that people pursue in maintaining... View Details
      Keywords: Culture; Machine Learning; Natural Language Processing; Symbolic Boundaries; Organizations; Boundaries; Social Psychology; Interpersonal Communication; Organizational Culture
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      Bhatt, Anjali M., Amir Goldberg, and Sameer B. Srivastava. "A Language-Based Method for Assessing Symbolic Boundary Maintenance between Social Groups." Sociological Methods & Research 51, no. 4 (November 2022): 1681–1720.
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