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      • 2023
      • Working Paper

      'It Wouldn’t have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins

      By: Julian Zlatev, Stephanie C. Lin and Dale Miller
      We identify and document an “overdetermined outcome defense” which occurs when one learns that circumstances besides one’s own actions were sufficient to produce a negative effect (e.g., deciding not to go to the gym, but later discovering that the gym had been...  View Details
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      Zlatev, Julian, Stephanie C. Lin, and Dale Miller. "'It Wouldn’t have Mattered Anyway': When Overdetermined Outcomes Justify Our Sins." Harvard Business School Working Paper, No. 23-045, January 2023.
      • January 2023
      • Case

      Replika: Embodying AI

      By: Shikhar Ghosh, Shweta Bagai and Marilyn Morgan Westner
      Keywords: AI; AI and Machine Learning; California
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      Ghosh, Shikhar, Shweta Bagai, and Marilyn Morgan Westner. "Replika: Embodying AI." Harvard Business School Case 823-090, January 2023.
      • 2023
      • Working Paper

      Is Pay Transparency Good?

      By: Zoë Cullen
      Countries around the world are designing pay transparency policies with the intention of combating pay discrimination. Are these policies working as intended? Most focus on revealing pay gaps between co-workers within a firm, with the goal of arming workers with...  View Details
      Keywords: Pay Transparency; Trends; Transition; Communication Strategy; Wages; Policy; Europe; North America; Australia
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      Cullen, Zoë. "Is Pay Transparency Good?" Harvard Business School Working Paper, No. 23-039, January 2023.
      • January 2023
      • Exercise

      Identify the Health Care Venture

      By: Regina E. Herzlinger and James Wallace
      This case enables rapid learning of the key financial characteristics of many types of health care organizations and to diagnose their financial status. It is a surprisingly fun exercise (see the Teaching Note) accomplished by organizing groups of students that compete...  View Details
      Keywords: Health Care; Health Care Spending; Health Care Financing; Health Care Industry; Health Care Operations; Health Care Delivery
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      Herzlinger, Regina E., and James Wallace. "Identify the Health Care Venture." Harvard Business School Exercise 323-061, January 2023.
      • January 5, 2023
      • Article

      How to Build a Life: How We Learned to Be Lonely

      By: Arthur C. Brooks
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      Brooks, Arthur C. "How to Build a Life: How We Learned to Be Lonely." The Atlantic (January 5, 2023).
      • January–February 2023
      • Article

      The Overlooked Key to a Successful Scale-Up

      By: Jeffrey F. Rayport, Davide Sola and Martin Kupp
      Many start-ups experience enormous popularity and runaway growth, but only a few go on to become stable giants. What separates them from the pack? They all go through a developmental stage called extrapolation, say three business school professors.
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      Keywords: Entrepreneurship And Strategy; Scalability; Business Startups; Growth and Development Strategy; Entrepreneurship
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      Rayport, Jeffrey F., Davide Sola, and Martin Kupp. "The Overlooked Key to a Successful Scale-Up." Harvard Business Review (January–February 2023): 56–65.
      • December 2022
      • Teaching Note

      Leonard Bernstein: Changing the World

      By: Robert Simons and Shirley Sun
      Teaching Note for HBS Case No. 122-056. The case traces the rise of Leonard Bernstein from a middle-class family in Boston to the conductor of the New York Philharmonic Orchestra. The case describes how he studied music intensely as a young man and developed mentors to...  View Details
      Keywords: Entertainment; Personal Characteristics; Work-Life Balance; Entrepreneurship; Success; Values and Beliefs; Mission and Purpose; Personal Development and Career; Entertainment and Recreation Industry
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      Simons, Robert, and Shirley Sun. "Leonard Bernstein: Changing the World." Harvard Business School Teaching Note 123-032, December 2022.
      • 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.
      • 2022
      • 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 importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of tools...  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.
      • 2022
      • Working Paper

      Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence

      By: Maya Balakrishnan, Kris Ferreira and Jordan Tong
      Even if algorithms make better predictions than humans on average, humans may sometimes have “private” information which an algorithm does not have access to that can improve performance. How can we help humans effectively use and adjust recommendations made by...  View Details
      Keywords: Cognitive Biases; Algorithm Transparency; Forecasting and Prediction; Behavior; AI and Machine Learning; Analytics and Data Science; Cognition and Thinking
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      Balakrishnan, Maya, Kris Ferreira, and Jordan Tong. "Improving Human-Algorithm Collaboration: Causes and Mitigation of Over- and Under-Adherence." Working Paper, December 2022.
      • 2022
      • Working Paper

      The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives

      By: Ariel Dora Stern
      For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with...  View Details
      Keywords: AI and Machine Learning; Health Care and Treatment; Governing Rules, Regulations, and Reforms; Technological Innovation; Medical Devices and Supplies Industry
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      Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." NBER Working Paper Series, No. 30639, December 2022.
      • December 2022
      • Module Note

      What is the Game? Understanding the Environment

      By: Maria P. Roche
      As a strategist, one of your main tasks is to size up the external environment of your organization in its entirety. In this module, you will learn basic concepts and tools that will allow you to better understand the environment in which your organization operates.  View Details
      Keywords: Strategic Planning; Organizational Culture; Organizational Structure
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      Roche, Maria P. "What is the Game? Understanding the Environment." Harvard Business School Module Note 723-405, December 2022.
      • November 2022 (Revised December 2022)
      • 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 December 2022.)
      • November 2022
      • Background Note

      The Future of E-Commerce: Lessons from the Livestream Wars in China

      By: Ayelet Israeli, Jeremy Yang and Billy Chan
      This note explores the emerging multi-billion dollar commerce trend of livestream commerce. Livestream commerce is the sale of goods or services directly to consumers via live shows on digital platforms (such as social media or e-commerce platforms). It is a form of...  View Details
      Keywords: Retail; Retailing; E-commerce; E-Commerce Strategy; Ecommerce; Channels Of Distribution; Marketing Communication; Livestream Commerce; Marketing; Marketing Channels; Marketing Strategy; Advertising; Brands and Branding; Media; Consumer Behavior; Social Media; Retail Industry; Consumer Products Industry; Advertising Industry; China; United States; United Kingdom
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      Israeli, Ayelet, Jeremy Yang, and Billy Chan. "The Future of E-Commerce: Lessons from the Livestream Wars in China." Harvard Business School Background Note 523-055, November 2022.
      • November 15, 2022
      • Article

      Using Simulations to Upskill Employees

      By: Frank V. Cespedes, Trond Aas, Alex Hunt and Huw Newton-Hill
      Reskilling employees tops the agenda in many organizations, according to a LinkedIn report. Korn Ferry estimates an 85-million person talent shortage by 2030, and McKinsey likens the challenge to the shift from agricultural to manufacturing work that occurred in the...  View Details
      Keywords: Employee Engagement; Managing People; Talent Development; Training; Human Capital; Experience and Expertise; Talent and Talent Management; Retention; Personal Development and Career
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      Cespedes, Frank V., Trond Aas, Alex Hunt, and Huw Newton-Hill. "Using Simulations to Upskill Employees." Harvard Business Review (website) (November 15, 2022).
      • November 2022
      • Supplement

      What are the lessons learned from the e-bike business for other Bosch divisions

      By: Ramon Casadesus-Masanell
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      Casadesus-Masanell, Ramon. "What are the lessons learned from the e-bike business for other Bosch divisions." Harvard Business School Multimedia/Video Supplement 723-858, November 2022.
      • November 2022
      • Supplement

      What are the lessons learned to make intrapreneurship successful in a large company

      By: Ramon Casadesus-Masanell
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      Casadesus-Masanell, Ramon. "What are the lessons learned to make intrapreneurship successful in a large company." Harvard Business School Multimedia/Video Supplement 723-859, November 2022.
      • November 2022 (Revised January 2023)
      • Case

      Hugging Face: Serving AI on a Platform

      By: Shane Greenstein, Daniel Yue, Kerry Herman and Sarah Gulick
      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, Kerry Herman, and Sarah Gulick. "Hugging Face: Serving AI on a Platform." Harvard Business School Case 623-026, November 2022. (Revised January 2023.)
      • 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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