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Publications

Publications

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      • Faculty Publications  (777)

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      • 2024
      • Working Paper

      The Value of AI Innovations

      By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
      We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,... View Details
      Keywords: AI and Machine Learning; Valuation; Technological Innovation; Open Source Distribution; Patents; Policy; Knowledge Sharing; Technology Industry
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      Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
      • May 2024
      • Case

      HarvEast

      By: Jeremy Friedman and Natalie Kindred
      In late 2023, Dmitry Skornyakov, CEO of Ukrainian agribusiness HarvEast, was navigating the turmoil caused by Russia’s invasion of Ukraine that began in 2014 and escalated into full-scale war in February 2022. Before the full-scale invasion, HarvEast managed 127,000... View Details
      Keywords: Goods and Commodities; Natural Resources; Food; Problems and Challenges; Adaptation; Innovation and Management; Crisis Management; Logistics; Supply Chain; Risk and Uncertainty; Loss; Trust; Human Needs; War; Agriculture and Agribusiness Industry; Chile; South America; Latin America; Ukraine
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      Friedman, Jeremy, and Natalie Kindred. "HarvEast." Harvard Business School Case 724-011, May 2024.
      • May 2024
      • Article

      The Effect of Configural Processing on Mentalization

      By: Katrina Fincher, Ting Zhang, Asteya Percaya, Adam Galinsky and Michael W. Morris
      Eight studies (N = 2,561) reveal that how we perceptually process a person’s face affects our capacity to understand their mind. Studies 1A and B indicate this relationship functions via two separate pathways: (a) indirectly by increasing our sensitivity to the... View Details
      Keywords: Perception; Cognition and Thinking
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      Fincher, Katrina, Ting Zhang, Asteya Percaya, Adam Galinsky, and Michael W. Morris. "The Effect of Configural Processing on Mentalization." Journal of Personality and Social Psychology 126, no. 5 (May 2024): 758–778.
      • 2024
      • Working Paper

      Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency

      By: Mosab Hammoudeh, Joshua Lev Krieger and Jiajie Xu
      This paper investigates whether moving R&D from incumbents to startups can increase innovation. Using comprehensive drug development data, we examine the outcomes of drug projects licensed from large firms to startups. We find that these projects licensed to startups... View Details
      Keywords: Product Development; Innovation and Invention; Business Startups; Research and Development; Performance Efficiency; Pharmaceutical Industry
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      Hammoudeh, Mosab, Joshua Lev Krieger, and Jiajie Xu. "Dusting Off the Old Ones: Drug Licensing to Startups, Innovation Success and Efficiency." Harvard Business School Working Paper, No. 24-067, March 2024.
      • April 2024
      • Article

      An Integrative Model of Hybrid Governance: The Role of Boards in Helping Sustain Organizational Hybridity

      By: Anne-Claire Pache, Julie Battilana and Channing Spencer
      Hybrid organizations must sustainably attend to multiple goals embedded in different institutional spheres. Past research has highlighted the value for hybrids in recruiting board members representing different logics to avoid attentional drifts; yet, diverse boards... View Details
      Keywords: Governing and Advisory Boards; Business or Company Management; Organizational Structure
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      Pache, Anne-Claire, Julie Battilana, and Channing Spencer. "An Integrative Model of Hybrid Governance: The Role of Boards in Helping Sustain Organizational Hybridity." Academy of Management Journal 67, no. 2 (April 2024): 437–467.
      • April 2024
      • Article

      How Our Ideological Out-Group Shapes Our Emotional Response to Our Shared Socio-Political Reality

      By: Julia Elad-Strenger, Amit Goldenberg, Tamar Saguy and Eran Halperin
      What shapes our emotional responses to socio-political events? Following the social identity approach, we suggest that individuals adjust their emotional responses to socio-political stimuli based on their ideological out-group's responses, in a manner that preserves... View Details
      Keywords: Political Ideology; Emotions; Identity; Groups and Teams; Israel
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      Elad-Strenger, Julia, Amit Goldenberg, Tamar Saguy, and Eran Halperin. "How Our Ideological Out-Group Shapes Our Emotional Response to Our Shared Socio-Political Reality." British Journal of Social Psychology 63, no. 2 (April 2024): 723–744.
      • 2025
      • Working Paper

      Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas

      By: Jacqueline N. Lane, Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber and Eva C. Guinan
      The evaluation of innovative early-stage projects is essential for allocating limited resources. We investigate how the evaluation format affects the identification of feasibility issues through a field experiment at a leading research university. Experts were... View Details
      Keywords: Innovation Evaluation; Evaluation Criteria; Feasibility Assessment; Attention Allocation; Cognitive Mechanisms; Field Experiment; Research; Performance Evaluation; Innovation and Invention; Prejudice and Bias
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      Lane, Jacqueline N., Simon Friis, Tianxi Cai, Michael Menietti, Griffin Weber, and Eva C. Guinan. "Greenlighting Innovative Projects: How Evaluation Format Shapes the Perceived Feasibility of Early-Stage Ideas." Harvard Business School Working Paper, No. 24-064, March 2024. (Revised May 2025.)
      • 2024
      • Working Paper

      The Cram Method for Efficient Simultaneous Learning and Evaluation

      By: Zeyang Jia, Kosuke Imai and Michael Lingzhi Li
      We introduce the "cram" method, a general and efficient approach to simultaneous learning and evaluation using a generic machine learning (ML) algorithm. In a single pass of batched data, the proposed method repeatedly trains an ML algorithm and tests its empirical... View Details
      Keywords: AI and Machine Learning
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      Jia, Zeyang, Kosuke Imai, and Michael Lingzhi Li. "The Cram Method for Efficient Simultaneous Learning and Evaluation." Working Paper, March 2024.
      • 2025
      • Working Paper

      Choosing and Using Information in Evaluation Decisions

      By: Katherine Baldiga Coffman, Scott Kostyshak and Perihan O. Saygin
      We use a controlled experiment to study how information acquisition impacts candidate evaluations. We provide evaluators with group-level information on performance and the opportunity to acquire additional, individual-level performance information before making a... View Details
      Keywords: Discrimination; Beliefs; Stereotypes; Gender; Prejudice and Bias; Selection and Staffing; Performance Evaluation
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      Coffman, Katherine Baldiga, Scott Kostyshak, and Perihan O. Saygin. "Choosing and Using Information in Evaluation Decisions." Working Paper, February 2025.
      • March 2024
      • Article

      Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard

      By: Kala Viswanathan, Matthew S. Johnson and Michael W. Toffel
      Problem definition: Given the enormous disruptions and costs of occupational injuries, companies and buyers are increasingly looking to voluntary occupational health and safety standards to improve worker safety. Yet because these standards only require... View Details
      Keywords: Occupational Health; Occupational Safety; Program Evaluation; Safety Performance; Injuries; OHSAS 18001; ISO 45001; Working Conditions; Safety; Standards
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      Viswanathan, Kala, Matthew S. Johnson, and Michael W. Toffel. "Do Safety Management System Standards Indicate Safer Operations? Evidence from the OHSAS 18001 Occupational Health and Safety Standard." Art. 106383. Safety Science 171 (March 2024).
      • 2025
      • Working Paper

      Exports in Disguise? Trade Rerouting During the U.S.-China Trade War

      By: Ebehi Iyoha, Edmund Malesky, Jaya Wen and Sung-Ju Wu
      This paper introduces a new measure of tariff evasion through rerouting and applies it to the 2018 U.S.–China trade war, focusing on Vietnam as a transit country. We use transaction-level trade data and define rerouting as the flow of a granular eight-digit Harmonized... View Details
      Keywords: Trade; International Relations; Logistics; China; Viet Nam; United States
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      Iyoha, Ebehi, Edmund Malesky, Jaya Wen, and Sung-Ju Wu. "Exports in Disguise? Trade Rerouting During the U.S.-China Trade War." Harvard Business School Working Paper, No. 24-072, May 2024. (Revised March 2025.)
      • March 2024
      • Article

      Human Capital Affects Religious Identity: Causal Evidence from Kenya

      By: Livia Alfonsi, Michal Bauer, Julie Chytilová and Edward Miguel
      We study how human capital and economic conditions causally affect the choice of religious denomination. We utilize a longitudinal dataset monitoring the religious history of more than 5,000 Kenyans over 20 years, in tandem with a randomized experiment (deworming) that... View Details
      Keywords: Religion; Human Capital; Developing Countries and Economies; Welfare; Kenya
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      Alfonsi, Livia, Michal Bauer, Julie Chytilová, and Edward Miguel. "Human Capital Affects Religious Identity: Causal Evidence from Kenya." Art. 103215. Journal of Development Economics 167 (March 2024).
      • February 2024
      • Case

      Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities

      By: Rosabeth Moss Kanter and Jacob A. Small
      Throughout the early 2000's, emphasis was placed on initiatives to adapt to and mitigate climate action in cities. This series presents overviews (snapshots) of 14 U.S. metropolitan regions to help identify similarities, differences, and opportunities for developing... View Details
      Keywords: Climate; Climate Impact; Innovation; Mitigation Policies; Carbon Footprint; Investing; Climate Finance; Renewable; Mobility; City; Climate Change; Adaptation; Renewable Energy; Weather; Problems and Challenges; United States; Boston; Detroit; Miami; Minneapolis; St. Paul; Pittsburgh; Seattle; San Jose
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      Kanter, Rosabeth Moss, and Jacob A. Small. "Can Cities Beat the Heat? (A): A Comparative Analysis of Climate Actions and Change Enablers in 14 U.S. Cities." Harvard Business School Case 324-080, February 2024.
      • 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.
      • 2025
      • Working Paper

      Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers

      By: Matthew DosSantos DiSorbo, Kris Ferreira, Maya Balakrishnan and Jordan Tong
      Problem definition: While artificial intelligence (AI) algorithms may perform well on data that are representative of the training set (inliers), they may err when extrapolating on non-representative data (outliers). How can humans and algorithms work together to make... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions
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      DosSantos DiSorbo, Matthew, Kris Ferreira, Maya Balakrishnan, and Jordan Tong. "Warnings and Endorsements: Improving Human-AI Collaboration in the Presence of Outliers." Working Paper, May 2025.
      • 2024
      • Working Paper

      Age at Immigrant Arrival and Career Mobility: Evidence from Vietnamese Refugee Migration and the Amerasian Homecoming Act

      By: Sari Pekkala Kerr, William R. Kerr and Kendall Smith
      We study the long-run career mobility of young immigrants, mostly refugees, from Vietnam who moved to the United States during 1989-1995. This third and final migration wave of young Vietnamese immigrants was sparked by unexpected events that culminated in the... View Details
      Keywords: Vietnam; Vietnam War; Assimilation; Immigration; Refugees; Age; Outcome or Result; Personal Development and Career; Viet Nam
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      Kerr, Sari Pekkala, William R. Kerr, and Kendall Smith. "Age at Immigrant Arrival and Career Mobility: Evidence from Vietnamese Refugee Migration and the Amerasian Homecoming Act." Harvard Business School Working Paper, No. 24-044, January 2024.
      • January 2024
      • Supplement

      Winning Business at Russell Reynolds

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
      Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds." Harvard Business School Multimedia/Video Supplement 424-704, January 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.
      • 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
      • 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).
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