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      • January 2024 (Revised February 2024)
      • Course Overview Note

      Managing Customers for Growth: Course Overview for Students

      By: Eva Ascarza
      Managing Customers for Growth (MCG) is a 14-session elective course for second-year MBA students at Harvard Business School. It is designed for business professionals engaged in roles centered on customer-driven growth activities. The course explores the dynamics of... View Details
      Keywords: Customer Relationship Management; Decision Making; Analytics and Data Science; Growth Management; Telecommunications Industry; Technology Industry; Financial Services Industry; Education Industry; Travel Industry
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      Ascarza, Eva. "Managing Customers for Growth: Course Overview for Students." Harvard Business School Course Overview Note 524-032, January 2024. (Revised February 2024.)
      • January 2024 (Revised May 2024)
      • Case

      PortageBay and ESG Analytics

      By: Vikram S. Gandhi and Radhika Kak
      In 2023, sustainable investors faced several challenges. The first was the lack of access to standardized and vetted environmental, social, and governance (ESG) data, and equally, the interpretation of this data into investment-useful insights. Reducing reliance on... View Details
      Keywords: ESG Ratings; Investment Funds; Governance; Environmental Sustainability; Corporate Social Responsibility and Impact
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      Gandhi, Vikram S., and Radhika Kak. "PortageBay and ESG Analytics." Harvard Business School Case 324-065, January 2024. (Revised May 2024.)
      • 2024
      • Conference Paper

      Quantifying Uncertainty in Natural Language Explanations of Large Language Models

      By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal
      Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details
      Keywords: Large Language Model; AI and Machine Learning
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      Lakkaraju, Himabindu, Sree Harsha Tanneru, and Chirag Agarwal. "Quantifying Uncertainty in Natural Language Explanations of Large Language Models." Paper presented at the Society for Artificial Intelligence and Statistics, 2024.
      • 2023
      • Working Paper

      Money, Time, and Grant Design

      By: Kyle Myers and Wei Yang Tham
      The design of research grants has been hypothesized to be a useful tool for influencing researchers and their science. We test this by conducting two thought experiments in a nationally representative survey of academic researchers. First, we offer participants a... View Details
      Keywords: Research; Power and Influence; Money
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      Myers, Kyle, and Wei Yang Tham. "Money, Time, and Grant Design." Harvard Business School Working Paper, No. 24-037, December 2023.
      • 2025
      • Working Paper

      Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

      By: Ta-Wei Huang and Eva Ascarza
      As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details
      Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing
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      Huang, Ta-Wei, and Eva Ascarza. "Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach." Harvard Business School Working Paper, No. 24-034, December 2023. (Revised March 2025.)
      • 2023
      • Article

      Post Hoc Explanations of Language Models Can Improve Language Models

      By: Satyapriya Krishna, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh and Himabindu Lakkaraju
      Large Language Models (LLMs) have demonstrated remarkable capabilities in performing complex tasks. Moreover, recent research has shown that incorporating human-annotated rationales (e.g., Chain-of-Thought prompting) during in-context learning can significantly enhance... View Details
      Keywords: AI and Machine Learning; Performance Effectiveness
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      Krishna, Satyapriya, Jiaqi Ma, Dylan Slack, Asma Ghandeharioun, Sameer Singh, and Himabindu Lakkaraju. "Post Hoc Explanations of Language Models Can Improve Language Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • November 2023 (Revised August 2024)
      • Background Note

      Life Cycle Assessment: An Overview

      By: Willy C. Shih, Michael W. Toffel and Kelsey Carter
      Life cycle assessment (LCA) is a holistic approach to quantifying the environmental impacts—including resources consumed and wastes produced—associated with the entire life cycle of a product, from the production or extraction of the raw materials used in its creation,... View Details
      Keywords: Life-cycle; Environmental Performance; Design; Environmental Management; Environmental Sustainability; Climate Change; Measurement and Metrics; Standards; Accounting; Environmental Accounting
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      Shih, Willy C., Michael W. Toffel, and Kelsey Carter. "Life Cycle Assessment: An Overview." Harvard Business School Background Note 624-052, November 2023. (Revised August 2024.)
      • November 2023
      • Case

      Copilot(s): Generative AI at Microsoft and GitHub

      By: Frank Nagle, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright and Sarah Mehta
      This case tells the story of Microsoft’s 2018 acquisition of GitHub and the subsequent launch of GitHub Copilot, a tool that uses generative artificial intelligence to suggest snippets of code to software developers in real time. Set in late 2021, when Copilot was... View Details
      Keywords: Business Ventures; Strategy; AI and Machine Learning; Applications and Software; Product Launch; Information Technology Industry; Technology Industry; Web Services Industry; United States; California
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      Nagle, Frank, Shane Greenstein, Maria P. Roche, Nataliya Langburd Wright, and Sarah Mehta. "Copilot(s): Generative AI at Microsoft and GitHub." Harvard Business School Case 624-010, November 2023.
      • November 2023
      • Case

      Will Fintechs and Central Banks Play in Emtech's Sandbox?

      By: Daniel Isenberg and William R. Kerr
      In February 2023, Emtech’s founder Carmelle Cadet is facing a dilemma. Rapidly running out of cash, Cadet has a term sheet from a leading VC but has a choice of how to structure the investment. The decision will have significant implications for Cadet’s own stake, as... View Details
      Keywords: Cryptocurrency; Business Startups; Venture Capital; Cash Flow; Currency; Governing Rules, Regulations, and Reforms; Digital Platforms
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      Isenberg, Daniel, and William R. Kerr. "Will Fintechs and Central Banks Play in Emtech's Sandbox?" Harvard Business School Case 824-096, November 2023.
      • 2023
      • Book

      How the Harvard Business School Changed the Way We View Organizations

      By: Jay W. Lorsch
      The story of the field of organizational behavior (which overlaps considerably with the origin story of Harvard Business School) and how it created the “medical model” of systems thinking—anchored in the practices of listening, observing, testing, and only then... View Details
      Keywords: Organizational Behavior; Systems Thinking; Medical Model; Organizations; Behavior; System; History
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      Lorsch, Jay W. How the Harvard Business School Changed the Way We View Organizations. Business Expert Press, 2023.
      • November 2023
      • Article

      Psychological Factors Underlying Attitudes toward AI Tools

      By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
      What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
      Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
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      De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
      • October 2023
      • Case

      Prime Coalition: Estimating Climate Impact

      By: Natalia Rigol, Benjamin N. Roth, Brian Trelstad and Amram Migdal
      A case on CRANE, a tool to help investors and green technology companies estimate the future climate impact of new technologies and products, called emissions reduction potential (ERP). The case includes material on CRANE’s methodology for estimating future carbon... View Details
      Keywords: Carbon Emissions; Environmental Accounting; Analysis; Climate Change; Green Technology; Innovation and Invention; Measurement and Metrics; Philanthropy and Charitable Giving; Risk and Uncertainty; Nonprofit Organizations; Social Enterprise
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      Rigol, Natalia, Benjamin N. Roth, Brian Trelstad, and Amram Migdal. "Prime Coalition: Estimating Climate Impact." Harvard Business School Case 824-119, October 2023.
      • October 2023
      • Case

      Houghton Mifflin Harcourt: A Curriculum Provider Puts Itself on the Hook for Student Outcomes

      By: John J-H Kim, Derek C. M. van Bever, Michael Norris and Max Hancock
      Jack Lynch, CEO of Houghton Mifflin Harcourt (HMH) since 2017, was leading the company’s transformation from a legacy textbook publisher to a digital-first student outcomes provider, which earned subscription revenue from digital products and curriculum. In 2023, HMH... View Details
      Keywords: Edtech; Textbook; Publishing; Leading Change; Change Management; Transformation; Digital Transformation; Expansion; Business Strategy; Publishing Industry; Education Industry; United States
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      Kim, John J-H, Derek C. M. van Bever, Michael Norris, and Max Hancock. "Houghton Mifflin Harcourt: A Curriculum Provider Puts Itself on the Hook for Student Outcomes." Harvard Business School Case 324-011, October 2023.
      • October 2023 (Revised February 2024)
      • Technical Note

      Design and Evaluation of Targeted Interventions

      By: Eva Ascarza and Ta-Wei (David) Huang
      Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
      Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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      Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
      • October 2023
      • Case

      Fixie and Conversational AI Sidekicks

      By: Jeffrey J. Bussgang and Carin-Isabel Knoop
      In March 2023, Fixie Co-Founder and Chief Architect Matt Welsh and co-founders had the kind of meeting no founders want to have. The president of leading artificial intelligence (AI) research and deployment firm OpenAI, which had catapulted into fame with its ChatGPT... View Details
      Keywords: Large Language Model; Entrepreneurship; Decision Choices and Conditions; AI and Machine Learning; Technological Innovation; Competitive Strategy; Technology Industry; United States
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      Bussgang, Jeffrey J., and Carin-Isabel Knoop. "Fixie and Conversational AI Sidekicks." Harvard Business School Case 824-037, October 2023.
      • October 2023
      • Technical Note

      Governance for the Family Enterprise

      By: Christina R. Wing and Vicki Morton
      Governance stands as the backbone of any successful organization, providing the structure, transparency, and accountability necessary to guide decisions, ensure efficiency and foster sustainable growth. Its significance takes on a heightened dimension within family... View Details
      Keywords: Family Business; Corporate Governance; Family Ownership; Business Growth and Maturation
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      Wing, Christina R., and Vicki Morton. "Governance for the Family Enterprise." Harvard Business School Technical Note 624-047, October 2023.
      • October 2023 (Revised February 2024)
      • Case

      Loris

      By: Shunyuan Zhang, Das Narayandas, Stacy Straaberg and David Lane
      In December 2022, Loris’s executive team considered their go-to-market strategy. Loris was an artificial intelligence (AI) software startup for the customer service industry with two products on the market: 1) Agent Assist which provided customer service agents (CSAs)... View Details
      Keywords: Decisions; Growth and Development Strategy; Product Launch; Product Positioning; Business Strategy; Competitive Strategy; Business Startups; AI and Machine Learning; Applications and Software; Marketing Strategy; Sales; Technology Industry; United States
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      Zhang, Shunyuan, Das Narayandas, Stacy Straaberg, and David Lane. "Loris." Harvard Business School Case 524-010, October 2023. (Revised February 2024.)
      • 2025
      • Working Paper

      The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling

      By: Caleb Kwon, Antonio Moreno and Ananth Raman
      Problem Definition: Considerable academic and practitioner attention is placed on the value of ex-post interactions (i.e., overrides) in the human-AI interface. In contrast, relatively little attention has been paid to ex-ante human-AI interactions (e.g., the... View Details
      Keywords: AI and Machine Learning; Employees; Performance Effectiveness
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      Kwon, Caleb, Antonio Moreno, and Ananth Raman. "The Impact of Input Inaccuracy on Leveraging AI Tools: Evidence from Algorithmic Labor Scheduling." Working Paper, January 2025.
      • September 2023
      • Supplement

      Design and Evaluation of Targeted Interventions

      By: Eva Ascarza
      Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
      Keywords: Marketing; Design; Business Strategy; Policy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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      Ascarza, Eva. "Design and Evaluation of Targeted Interventions." Harvard Business School Spreadsheet Supplement 524-703, September 2023.
      • September 2023
      • Case

      DocSend: A Path off the Plateau?

      By: Thomas R. Eisenmann and Jeffrey Huizinga
      Recounts how the leaders of DocSend, an early-stage startup that offered tools for sharing files online, searched for a viable business model and weighed tradeoffs in transitioning from a sales-led to a product-led "go-to-market" approach. View Details
      Keywords: Technology; Start-up; Growth; Business Model; Business Startups; Sales; Growth and Development Strategy; Technology Industry
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      Eisenmann, Thomas R., and Jeffrey Huizinga. "DocSend: A Path off the Plateau?" Harvard Business School Case 824-038, September 2023.
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