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      • 2023
      • Working Paper

      Feature Importance Disparities for Data Bias Investigations

      By: Peter W. Chang, Leor Fishman and Seth Neel
      It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Prejudice and Bias
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      Chang, Peter W., Leor Fishman, and Seth Neel. "Feature Importance Disparities for Data Bias Investigations." Working Paper, March 2023.
      • April 2023
      • Article

      Inattentive Inference

      By: Thomas Graeber
      This paper studies how people infer a state of the world from information structures that include additional, payoff-irrelevant states. For example, learning from a customer review about a product’s quality requires accounting for the reviewer’s otherwise irrelevant... View Details
      Keywords: Cognition and Thinking; Information Types; Behavior; Knowledge Acquisition
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      Graeber, Thomas. "Inattentive Inference." Journal of the European Economic Association 21, no. 2 (April 2023): 560–592.
      • 2023
      • Working Paper

      PRIMO: Private Regression in Multiple Outcomes

      By: Seth Neel
      We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
      Keywords: Analytics and Data Science; Mathematical Methods
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      Neel, Seth. "PRIMO: Private Regression in Multiple Outcomes." Working Paper, March 2023.
      • March 2023
      • Background Note

      A Primer on OKRs

      By: Suraj Srinivasan and Li-Kuan (Jason) Ni
      The OKR framework is a popular goal-setting and strategy execution tool that uses goal setting through “Objectives” and measuring performance using “Key Results” on a periodic basis to measure and drive performance. The OKR framework has been adopted and practiced at... View Details
      Keywords: Business Organization; Talent and Talent Management; Framework; Corporate Governance; Goals and Objectives; Growth and Development; Growth and Development Strategy; Growth Management; Management Analysis, Tools, and Techniques; Management Practices and Processes; Management Skills; Management Systems; Measurement and Metrics; Outcome or Result; Performance Effectiveness; Performance Evaluation; Performance Expectations; Performance Productivity; Performance Efficiency
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      Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "A Primer on OKRs." Harvard Business School Background Note 123-081, March 2023.
      • March 2023 (Revised September 2023)
      • Case

      Patagonia: 'Earth Is Now Our Only Shareholder'

      By: Brian Trelstad, Nien-hê Hsieh, Michael Norris and Susan Pinckney
      In September 2022, Yvon Chouinard, the iconoclastic founder of outdoor apparel company Patagonia, announced a new ownership model for his company. Chouinard and his family had held complete control of the company's voting and non-voting stock since its founding 50... View Details
      Keywords: Trusts; Business Ventures; Business Organization; Family Business; Restructuring; Change; Disruption; Transition; Decision Making; Ethics; Values and Beliefs; Finance; Financial Management; Governance; Corporate Governance; Investment Activism; Leadership; Labor; Law; Common Law; Management; Goals and Objectives; Organizations; Corporate Social Responsibility and Impact; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Ownership; Ownership Type; Family Ownership; Private Ownership; Social Enterprise; Nonprofit Organizations; Society; Social Issues; Wealth and Poverty; Value; Value Creation; Apparel and Accessories Industry; United States
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      Trelstad, Brian, Nien-hê Hsieh, Michael Norris, and Susan Pinckney. "Patagonia: 'Earth Is Now Our Only Shareholder'." Harvard Business School Case 323-057, March 2023. (Revised September 2023.)
      • March 2023
      • Case

      FinTunes, Inc., Board of Directors

      By: Lynn S. Paine and Jennifer Fonstad
      The board of FinTunes, Inc., a start-up aimed at helping musicians distribute their work and manage their finances, must decide among three candidates to serve as the company’s first independent director. The terms of FinTunes’ last round of financing provided that the... View Details
      Keywords: Business Startups; Entrepreneurship; Governing and Advisory Boards; Corporate Governance; Music Industry; Los Angeles; California
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      Paine, Lynn S., and Jennifer Fonstad. "FinTunes, Inc., Board of Directors." Harvard Business School Case 323-071, March 2023.
      • March 2023
      • Case

      Woven Planet - Designing Software for the Car of the Future

      By: Gary P. Pisano and Catherine Piner
      Founded in 2021, Woven Planet Holdings—a subsidiary of Toyota Motor Corporation—was developing Arene, an automotive software platform consisting of an operating system, development and simulation tools, and a cloud-based service that could store and analyze vehicle... View Details
      Keywords: Technology; Automated Driving; Innovation; Organizational Culture; Applications and Software; Safety; Product Launch; Product; Auto Industry; Technology Industry
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      Pisano, Gary P., and Catherine Piner. "Woven Planet - Designing Software for the Car of the Future." Harvard Business School Case 623-064, March 2023.
      • 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.
      • 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).
      • 2022
      • Article

      Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations

      By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
      A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions; Analytics and Data Science
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      Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
      • October 27, 2022
      • Article

      4 Types of Innovators Every Organization Needs

      By: Andy Wu, Goran Calic and Min Basadur
      Every company strives to be innovative, but most are missing key ingredients. How can you identify which ingredients your organization needs — and which employee styles can fill in the gaps? The authors’ research distills four key innovation styles that can lead to... View Details
      Keywords: Innovation Leadership; Innovation and Management
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      Wu, Andy, Goran Calic, and Min Basadur. "4 Types of Innovators Every Organization Needs." Harvard Business Review (website) (October 27, 2022).
      • October 2022
      • Background Note

      Note on Cyberattacks and Regulatory Regimes

      By: Frank Nagle, George A. Riedel, William R. Kerr and David Lane
      Describes common types of cyberattacks on enterprises and their costs, as well as the fragmentary regulatory regimes through which U.S. states and regulatory agencies at the start of 2021 attempted to encourage disclosure of cyberattacks and to pursue enforcement... View Details
      Keywords: Regulations; Regulatory Agencies; Cyberattacks; Governance; Corporate Disclosure; Cybersecurity; Information Industry; Information Technology Industry; Health Industry; Financial Services Industry; United States
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      Nagle, Frank, George A. Riedel, William R. Kerr, and David Lane. "Note on Cyberattacks and Regulatory Regimes." Harvard Business School Background Note 723-392, October 2022.
      • October–December 2022
      • Article

      Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

      By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
      Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
      Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
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      Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
      • September 2022
      • Background Note

      On CUE: The Quest for Optimal Customer Unit Economics

      By: Elie Ofek, Barak Libai and Eitan Muller
      Startups are often evaluated by how well they perform on unit economics, defined as the ratio of a customer’s lifetime value (LTV) to acquisition costs (CAC). A common target for unit economics, advocated by many VCs and analysts, is 3:1 (i.e., LTV/CAC=3). While there... View Details
      Keywords: Unit Economics; Business Startups; Performance Evaluation; Customer Value and Value Chain; Customer Relationship Management; Analysis
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      Ofek, Elie, Barak Libai, and Eitan Muller. "On CUE: The Quest for Optimal Customer Unit Economics." Harvard Business School Background Note 523-050, September 2022.
      • 2022
      • Chapter

      Coordinating Marketing and Sales in B2B Organizations

      By: Frank V. Cespedes
      This Handbook is targeted at academics and graduate students who want an overview of the academic state of the business-to-business marketing domain and at B2B practitioners who want to be aware of the current state of knowledge in their domains. This chapter examines... View Details
      Keywords: B2B Marketing; Marketing
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      Cespedes, Frank V. "Coordinating Marketing and Sales in B2B Organizations." Chap. 7 in Handbook of Business-to-Business Marketing. 2nd ed. Edited by Gary L. Lilien, J. Andrew Petersen, and Stefan Wuyts, 117–137. Edward Elgar Publishing, 2022.
      • September–October 2022
      • Article

      Seeking Purity, Avoiding Pollution: Strategies for Moral Career Building

      By: Erin Reid and Lakshmi Ramarajan
      This study builds theory on how people construct moral careers. Analyzing interviews with 102 journalists, we show how people build moral careers by seeking jobs that allow them to fulfill both the institution’s moral obligations and their own material aims. We... View Details
      Keywords: Personal Development and Career; Moral Sensibility
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      Reid, Erin, and Lakshmi Ramarajan. "Seeking Purity, Avoiding Pollution: Strategies for Moral Career Building." Organization Science 33, no. 5 (September–October 2022): 1909–1937.
      • August 3, 2022
      • Article

      Why NFT Creators Are Going cc0

      By: and Scott Duke Kominers Flashrekt
      Strategies for building brands, communities, and content through intellectual property (IP) vary greatly across NFT projects. Some maintain more or less standard IP protections; others give just NFT owners rights to innovate upon the associated intellectual property;... View Details
      Keywords: Non-fungible Tokens; NFTs; Video Games; Merchandising; Creative Commons; Intellectual Property
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      Flashrekt, and Scott Duke Kominers. "Why NFT Creators Are Going cc0." a16zcrypto.com (August 3, 2022).
      • August 1, 2022
      • Article

      The Supply Chain, Explained

      By: Willy C. Shih
      Why have supply chains been such a mess? For starters, there are a lot more layers than you think. This article describes some common features of supply chains that help the reader to understand how things could have gone so far off track during the pandemic. View Details
      Keywords: COVID-19 Pandemic; Supply Chain; Manufacturing Industry; United States
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      Shih, Willy C. "The Supply Chain, Explained." Wall Street Journal (August 1, 2022). (Online Edition, July 22, 2022.)
      • July 15, 2022
      • Article

      Does Elon Musk Have a Strategy?

      By: Andy Wu and Goran Calic
      Does Elon Musk have a strategy? Or is he just out there winging it? Looking at Musk’s many companies, common themes stand out across three areas: what fits into his vision for problems to solve, how he designs an organization as a solution to those problems, and why he... View Details
      Keywords: Technology; Strategy; Vision; Resources; Organization; Platform; Closed Systems; Leadership; Complexity; Organizational Design; Vertical Integration; Problems and Challenges; Success; Auto Industry; Aerospace Industry; Media and Broadcasting Industry; Energy Industry
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      Wu, Andy, and Goran Calic. "Does Elon Musk Have a Strategy?" Harvard Business Review Digital Articles (July 15, 2022).
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