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      Measurement and MetricsRemove Measurement and Metrics →

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      • 2024
      • Working Paper

      Platform Information Provision and Consumer Search: A Field Experiment

      By: Lu Fang, Yanyou Chen, Chiara Farronato, Zhe Yuan and Yitong Wang
      Despite substantial efforts to help consumers search in more intuitive ways, text search remains the predominant tool for product discovery online. In this paper, we explore the effects of visual and textual cues for search refinement on consumer search and purchasing... View Details
      Keywords: Consumer Behavior; E-commerce; Decision Choices and Conditions; Learning; Internet and the Web
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      Fang, Lu, Yanyou Chen, Chiara Farronato, Zhe Yuan, and Yitong Wang. "Platform Information Provision and Consumer Search: A Field Experiment." NBER Working Paper Series, No. 32099, February 2024.
      • January 2024
      • Case

      Net Zero Insurance Alliance: An Alliance in Crisis

      By: Peter Tufano and Karina Val
      The Net Zero Insurance Alliance (NZIA), a UN-convened alliance of major global insurers, was formed in 2021, but by 2023 had lost over 60% of its members. While NZIA had enjoyed a rapid and productive start by setting standards for the industry and sharing best... View Details
      Keywords: Climate Change; Insurance; Standards; Alliances; Business and Government Relations; Cooperation; Insurance Industry
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      Tufano, Peter, and Karina Val. "Net Zero Insurance Alliance: An Alliance in Crisis." Harvard Business School Case 324-063, January 2024.
      • 2024
      • Article

      Financial Constraints and Short-Term Planning Are Linked to Flood Risk Adaptation Gaps in U.S. Cities

      By: Shirley Lu and Anya Nakhmurina
      Adaptation is critical in reducing the inevitable impact of climate change. Here we study cities’ adaptation to elevated flood risk by introducing a linguistic measure of adaptation extracted from financial disclosures of 431 US cities over 2013–2020. While cities with... View Details
      Keywords: City; Natural Disasters; Climate Change; Adaptation; Risk and Uncertainty; Strategic Planning
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      Lu, Shirley, and Anya Nakhmurina. "Financial Constraints and Short-Term Planning Are Linked to Flood Risk Adaptation Gaps in U.S. Cities." Art. 43. Communications Earth & Environment 5 (2024).
      • January 2024 (Revised June 2024)
      • Case

      School of Rock: Tuning into Structured Empowerment (A)

      By: Tatiana Sandino, Jeffrey Rayport, Samuel Grad and Stacy Straaberg
      In summer 2021, School of Rock was a youth-oriented music education company with 291 franchise- and company-owned schools globally. Before CEO Rob Price’s hire in 2017, School of Rock’s nonconformist rock ‘n’ roll culture led to variability in teaching styles,... View Details
      Keywords: Business Growth and Maturation; Business Plan; Change Management; Transformation; Communication Strategy; Decisions; Curriculum and Courses; Teaching; Employee Relationship Management; Knowledge Sharing; Leadership Style; Business or Company Management; Growth and Development Strategy; Management Style; Marketing Strategy; Mission and Purpose; Organizational Change and Adaptation; Organizational Culture; Organizational Structure; Franchise Ownership; Performance Expectations; Performance Improvement; Strategic Planning; Attitudes; Conflict Management; Corporate Strategy; Applications and Software; Technology Adoption; Education Industry; Music Industry; Massachusetts; United States
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      Sandino, Tatiana, Jeffrey Rayport, Samuel Grad, and Stacy Straaberg. "School of Rock: Tuning into Structured Empowerment (A)." Harvard Business School Case 124-043, January 2024. (Revised June 2024.)
      • January 2024
      • Technical Note

      The ICARUS Principles: What It Takes to Tackle the World

      By: Debora L. Spar and Julia M. Comeau
      Over the course of the 20th century, most of the world’s major multinational corporations framed their mission around Milton Friedman’s famous mantra: that the sole purpose of the firm is to maximize its shareholders’ profits. Recently, however, growing numbers of... View Details
      Keywords: Purpose; Mission; Social Business; Corporate Social Responsibility and Impact; Mission and Purpose; Social Enterprise; For-Profit Firms
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      Spar, Debora L., and Julia M. Comeau. "The ICARUS Principles: What It Takes to Tackle the World." Harvard Business School Technical Note 324-055, January 2024.
      • 2024
      • Working Paper

      Bootstrap Diagnostics for Irregular Estimators

      By: Isaiah Andrews and Jesse M. Shapiro
      Empirical researchers frequently rely on normal approximations in order to summarize and communicate uncertainty about their findings to their scientific audience. When such approximations are unreliable, they can lead the audience to make misguided decisions. We... View Details
      Keywords: Mathematical Methods; Decision Choices and Conditions
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      Andrews, Isaiah, and Jesse M. Shapiro. "Bootstrap Diagnostics for Irregular Estimators." NBER Working Paper Series, No. 32038, January 2024.
      • January 2024
      • Article

      Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger

      By: Chiara Farronato, Jessica Fong and Andrey Fradkin
      Digital platforms are increasingly the subject of regulatory scrutiny. In comparison to multiple competitors, a single platform may increase consumer welfare if network effects are large or may decrease welfare due to higher prices or reduction in platform variety. We... View Details
      Keywords: Platform Differentiation; Digital Platforms; Network Effects; Measurement and Metrics; Mergers and Acquisitions; Outcome or Result
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      Farronato, Chiara, Jessica Fong, and Andrey Fradkin. "Dog Eat Dog: Balancing Network Effects and Differentiation in a Digital Platform Merger." Management Science 70, no. 1 (January 2024): 464–483.
      • 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.
      • January–February 2024
      • Article

      Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments

      By: Ryan W. Buell, Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan and Rengaraj Venkatesh
      Problem Definition: Clients and service providers alike often consider one-on-one service delivery to be ideal, assuming – perhaps unquestioningly – that devoting individualized attention best improves client outcomes. In contrast, in shared service delivery, clients... View Details
      Keywords: Health Care and Treatment; Customer Satisfaction; Outcome or Result; Performance Improvement
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      Buell, Ryan W., Kamalini Ramdas, Nazlı Sönmez, Kavitha Srinivasan, and Rengaraj Venkatesh. "Shared Service Delivery Can Increase Client Engagement: A Study of Shared Medical Appointments." Manufacturing & Service Operations Management 26, no. 1 (January–February 2024): 154–166.
      • December 2023
      • Case

      Robert McNamara: Changing the World

      By: Robert Simons and Shirley Sun
      This case traces the life of Robert McNamara from Harvard Business School to Ford Motor Company to the U.S. Department of Defense. McNamara excelled in every job along the way: becoming the youngest-ever professor at Harvard Business School, the first non-family... View Details
      Keywords: Performance Measurement; Military; Leadership Development; Values and Beliefs; Personal Characteristics; Leadership Style; Success; Business and Government Relations; Power and Influence; Business Education; War
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      Simons, Robert, and Shirley Sun. "Robert McNamara: Changing the World." Harvard Business School Case 124-036, December 2023.
      • 2023
      • Working Paper

      New Facts and Data about Professors and Their Research

      By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu
      We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details
      Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity
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      Myers, Kyle, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural, and Yilun Xu. "New Facts and Data about Professors and Their Research." Harvard Business School Working Paper, No. 24-036, 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
      • Working Paper

      Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network

      By: Ebehi Iyoha
      This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches.... View Details
      Keywords: Supply and Industry; Partners and Partnerships; Production
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      Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
      • 2023
      • Working Paper

      Complexity and Hyperbolic Discounting

      By: Benjamin Enke, Thomas Graeber and Ryan Oprea
      A large literature shows that people discount financial rewards hyperbolically instead of exponentially. While discounting of money has been questioned as a measure of time preferences, it continues to be highly relevant in empirical practice and predicts a wide range... View Details
      Keywords: Hyperbolic Discounting; Present Bias; Bounded Rationality; Cognitive Uncertainty; Behavioral Finance
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      Enke, Benjamin, Thomas Graeber, and Ryan Oprea. "Complexity and Hyperbolic Discounting." Harvard Business School Working Paper, No. 24-048, February 2024.
      • September 2023
      • Article

      Customer Churn and Intangible Capital

      By: Scott R. Baker, Brian Baugh and Marco Sammon
      Intangible capital is a crucial and growing piece of firms’ capital structure, but many of its distinct components are difficult to measure. We develop and make available several new firm-level metrics regarding a key component of intangible capital – firms’ customer... View Details
      Keywords: Customer Base; Transaction Data; Customer Churn; Intangible Capital; Capital Structure; Measurement and Metrics; Customers
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      Baker, Scott R., Brian Baugh, and Marco Sammon. "Customer Churn and Intangible Capital." Journal of Political Economy Macroeconomics 1, no. 3 (September 2023): 447–505.
      • December 2023
      • Article

      Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work

      By: Mijeong Kwon, Julia Lee Cunningham and Jon M. Jachimowicz
      Intrinsic motivation has received widespread attention as a predictor of positive work outcomes, including employees’ prosocial behavior. In the current research, we offer a more nuanced view by proposing that intrinsic motivation does not uniformly increase prosocial... View Details
      Keywords: Motivation and Incentives; Behavior; Moral Sensibility; Employees
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      Kwon, Mijeong, Julia Lee Cunningham, and Jon M. Jachimowicz. "Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work." Academy of Management Journal 66, no. 6 (December 2023): 1625–1650.
      • November 2023
      • Article

      Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success

      By: Yael Millgram, Matthew K. Nock, David D. Bailey and Amit Goldenberg
      People’s ability to regulate emotions is crucial to healthy emotional functioning. One overlooked aspect in emotion-regulation research is that knowledge about the source of emotions can vary across situations and individuals, which could impact people’s ability to... View Details
      Keywords: Emotions; Personal Characteristics; Well-being
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      Millgram, Yael, Matthew K. Nock, David D. Bailey, and Amit Goldenberg. "Knowledge About the Source of Emotion Predicts Emotion-Regulation Attempts, Strategies, and Perceived Emotion-Regulation Success." Psychological Science 34, no. 11 (November 2023): 1244–1255.
      • 2023
      • Article

      M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models

      By: Himabindu Lakkaraju, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai and Haoyi Xiong
      While Explainable Artificial Intelligence (XAI) techniques have been widely studied to explain predictions made by deep neural networks, the way to evaluate the faithfulness of explanation results remains challenging, due to the heterogeneity of explanations for... View Details
      Keywords: AI and Machine Learning
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      Lakkaraju, Himabindu, Xuhong Li, Mengnan Du, Jiamin Chen, Yekun Chai, and Haoyi Xiong. "M4: A Unified XAI Benchmark for Faithfulness Evaluation of Feature Attribution Methods across Metrics, Modalities, and Models." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Article

      MoPe: Model Perturbation-based Privacy Attacks on Language Models

      By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel
      Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details
      Keywords: Large Language Model; AI and Machine Learning; Cybersecurity
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      Li, Marvin, Jason Wang, Jeffrey Wang, and Seth Neel. "MoPe: Model Perturbation-based Privacy Attacks on Language Models." Proceedings of the Conference on Empirical Methods in Natural Language Processing (2023): 13647–13660.
      • 2023
      • Other Article

      The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications

      By: Mirac Suzgun, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers and Stuart Shieber
      Innovation is a major driver of economic and social development, and information about many kinds of innovation is embedded in semi-structured data from patents and patent applications. Though the impact and novelty of innovations expressed in patent data are difficult... View Details
      Keywords: USPTO; Natural Language Processing; Classification; Summarization; Patent Novelty; Patent Trolls; Patent Enforceability; Patents; Innovation and Invention; Intellectual Property; AI and Machine Learning; Analytics and Data Science
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      Suzgun, Mirac, Luke Melas-Kyriazi, Suproteem K. Sarkar, Scott Duke Kominers, and Stuart Shieber. "The Harvard USPTO Patent Dataset: A Large-Scale, Well-Structured, and Multi-Purpose Corpus of Patent Applications." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
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