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Publications

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      • Faculty Publications  (38,089)
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      • 2023
      • Article

      Balancing Risk and Reward: An Automated Phased Release Strategy

      By: Yufan Li, Jialiang Mao and Iavor Bojinov
      Phased releases are a common strategy in the technology industry for gradually releasing new products or updates through a sequence of A/B tests in which the number of treated units gradually grows until full deployment or deprecation. Performing phased releases in a... View Details
      Keywords: Product Launch; Mathematical Methods; Product Development
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      Li, Yufan, Jialiang Mao, and Iavor Bojinov. "Balancing Risk and Reward: An Automated Phased Release Strategy." Advances in Neural Information Processing Systems (NeurIPS) (2023).
      • 2023
      • Article

      Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

      By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li
      Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details
      Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry
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      Liu, Junling, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu, and Michael Lingzhi Li. "Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 36 (2023).
      • 2023
      • Book

      Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow

      By: Ken Huang, Yang Wang, Feng Zhu, Xi Chen and Chunxiao Xing
      This book explores the transformative potential of ChatGPT, Web3, and their impact on productivity and various industries. It delves into Generative AI (GenAI) and its representative platform ChatGPT, their synergy with Web3, and how they can revolutionize business... View Details
      Keywords: Generative Ai; AI and Machine Learning; Ethics; Technology Adoption
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      Huang, Ken, Yang Wang, Feng Zhu, Xi Chen, and Chunxiao Xing, eds. Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Springer, 2023.
      • December 2023
      • Article

      Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting

      By: Braiden Coleman, Michael Drake, Joseph Pacelli and Brady Twedt
      In this study, we offer novel evidence on how the nature of brokerage-client relationships can influence the quality of equity research. We exploit a unique setting provided by the Protocol for Broker Recruiting to examine whether relaxed broker non-compete agreement... View Details
      Keywords: Brokers; Analysts; Forecasts; Bias; Protocol; Investment; Research; Forecasting and Prediction
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      Coleman, Braiden, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage Relationships and Analyst Forecasts: Evidence from the Protocol for Broker Recruiting." Review of Accounting Studies 28, no. 4 (December 2023): 2075–2103.
      • 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.
      • 2023
      • Working Paper

      Financial and Informational Integration Through Oracle Networks

      By: Lin William Cong, Eswar Prasad and Daniel Rabetti
      Oracles are software components that enable data exchange between siloed blockchains and external environments, enhancing smart contract capabilities and platform interoperability. We find that oracle integration is positively associated with total value locked and... View Details
      Keywords: Decentralized Finance; Blockchain; Smart Contract; International Economy; Interoperability; Risk Sharing; Applications and Software; Financial Markets; Economics; Risk Management
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      Cong, Lin William, Eswar Prasad, and Daniel Rabetti. "Financial and Informational Integration Through Oracle Networks." Working Paper, December 2023.
      • December 2023
      • Case

      Gabriela Santana Goldstein

      By: Leslie Perlow and Hannah Weisman
      Gabriela Santana Goldstein was pursuing her passion, working as the Head of Business for a telehealth startup, when her father went into sudden cardiac arrest and family duty called. The case discusses Goldstein’s difficult decision to leave her dream job, and her path... View Details
      Keywords: Personal Development and Career; Well-being; Work-Life Balance; Family and Family Relationships; Decisions; Health Industry; United States; Boston; New York (city, NY)
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      Perlow, Leslie, and Hannah Weisman. "Gabriela Santana Goldstein." Harvard Business School Case 424-021, December 2023.
      • December 2023 (Revised February 2024)
      • Case

      Gold Rush Vinyl

      By: DJ DiDonna and Christina Wallace
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      DiDonna, DJ, and Christina Wallace. "Gold Rush Vinyl." Harvard Business School Case 824-120, December 2023. (Revised February 2024.)
      • December 2023
      • Article

      Intermediary Balance Sheets and the Treasury Yield Curve

      By: Wenxin Du, Benjamin Hebert and Wenhao Li
      We document a regime change in the Treasury market post-Global Financial Crisis (GFC): dealers switched from net short to net long Treasury bonds. We construct “net-long” and “net-short” curves that account for balance sheet and financing costs, and show that actual... View Details
      Keywords: Bonds; Financial Markets; Financial Crisis; Asset Pricing
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      Du, Wenxin, Benjamin Hebert, and Wenhao Li. "Intermediary Balance Sheets and the Treasury Yield Curve." Art. 103722. Journal of Financial Economics 150, no. 3 (December 2023).
      • December 2023
      • Other Article

      Introduction to the Special Section on Business and Climate Change

      By: Rajesh Chandy, Glen Dowell, Colin Mayer, Erica Plambeck, George Serafeim, Michael W. Toffel, L. Beril Toktay and Elke Weber
      Keywords: Climate Change; Adaptation; Policy; Corporate Social Responsibility and Impact; Innovation and Invention; Forecasting and Prediction
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      Chandy, Rajesh, Glen Dowell, Colin Mayer, Erica Plambeck, George Serafeim, Michael W. Toffel, L. Beril Toktay, and Elke Weber. "Introduction to the Special Section on Business and Climate Change." Management Science 69, no. 12 (December 2023): 7347–7351.
      • 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.
      • December 2023
      • Article

      Looking Forward – To Better Strategy-Sales Coordination

      By: Frank V. Cespedes
      Business decisions are about tomorrow, not yesterday. A key to looking forward in most firms is the annual strategy meeting, where linking sales efforts with strategy is vital for implementation and profitable growth. But according to surveys, less than half of... View Details
      Keywords: Sales; Growth and Development Strategy; Corporate Strategy
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      Cespedes, Frank V. "Looking Forward – To Better Strategy-Sales Coordination." Top Sales Magazine (December 2023), 26–27.
      • 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
      • Chapter

      Malleability Interventions in Intergroup Relations

      By: Smadar Cohen-Chen, Amit Goldenberg, James J. Gross and Eran Halperin
      One important characteristic of intergroup relations and conflicts is the fact that toxic or violent intergroup relations are often associated with fixed and stable perceptions of various entities, including the ingroup (stable and positive), the outgroup (stable and... View Details
      Keywords: Conflict and Resolution; Groups and Teams; Attitudes
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      Cohen-Chen, Smadar, Amit Goldenberg, James J. Gross, and Eran Halperin. "Malleability Interventions in Intergroup Relations." Chap. 7 in Psychological Intergroup Interventions: Evidence-based Approaches to Improve Intergroup Relations, by Eran Halperin, Boaz Hameiri, and Rebecca Littman. Routledge, 2023.
      • 2023
      • Working Paper

      Market Design and Maintenance

      By: Alvin E. Roth
      Because no marketplace operates in isolation from the larger world, marketplace designs may need to adapt to changes in the larger environments. I discuss such changes in connection with the labor markets for new doctors, new Ph.D. economists, and for kidney exchange... View Details
      Keywords: Market Design
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      Roth, Alvin E. "Market Design and Maintenance." NBER Working Paper Series, No. 31947, December 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
      • 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).
      • December 2023
      • Article

      Recover, Explore, Practice: The Transformative Potential of Sabbaticals

      By: Kira Schabram, Matt Bloom and DJ DiDonna
      Sabbaticals have seen an exponential growth in adoption over the last two decades and are ascribed extensive benefits by employers and employees alike. Little is known, however, about how individuals spend their time or how their experiences impact them after they... View Details
      Keywords: Sabbatical; Personal Development and Career; Employees
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      Schabram, Kira, Matt Bloom, and DJ DiDonna. "Recover, Explore, Practice: The Transformative Potential of Sabbaticals." Academy of Management Discoveries 9, no. 4 (December 2023): 441–468.
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