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Publications

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      • Faculty Publications  (101)

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      • 2025
      • Working Paper

      Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

      By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou
      We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details
      Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets
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      Bradshaw, Mark, Chenyang Ma, Benjamin Yost, and Yuan Zou. "Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha." Harvard Business School Working Paper, No. 25-055, April 2025.
      • February 2025
      • Article

      Seeing the Whole: Configurational Cognition and New Venture Resource Mobilization

      By: Goran Calic, François Neville, Santi Furnari and C. S. Richard Chan
      Research is scant on how multiple venture attributes combine as “whole packages” of signals (or cognitive configurations) in resource holders’ eyes, shaping a venture’s ability to mobilize resources. Drawing on a Qualitative Comparative Analysis of 1,395 crowdfunding... View Details
      Keywords: Crowdfunding; Mission and Purpose; Entrepreneurship; Communication; Perception
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      Calic, Goran, François Neville, Santi Furnari, and C. S. Richard Chan. "Seeing the Whole: Configurational Cognition and New Venture Resource Mobilization." Strategic Management Journal 46, no. 2 (February 2025): 309–347.
      • February 2025
      • Article

      Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States

      By: Emma Brady, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan and Gerardine Doyle
      Lead clinicians at two large pediatric cystic fibrosis (CF) centers in the United States and Ireland measured and compared their ambulatory care costs. The clinicians selected three strata of patients (0–11 months, 1–5 years, and 6–17 years of age). Process maps were... View Details
      Keywords: Health Care and Treatment; Cost; Service Delivery; Resource Allocation; Health Industry
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      Brady, Emma, Ryan C. Perkins, Kate Cullen, Gregory S. Sawicki, Robert S. Kaplan, and Gerardine Doyle. "Innovations in Evaluating Ambulatory Costs of Cystic Fibrosis Care: A Comparative Study Across Multidisciplinary Care Centers in Ireland and the United States." NEJM Catalyst Innovations in Care Delivery 6, no. 2 (February 2025).
      • September 2024
      • Article

      Activist Directors: Determinants and Consequences

      By: Ian D. Gow, Sa-Pyung Sean Shin and Suraj Srinivasan
      This paper examines determinants and consequences of hedge fund activism, focusing on activist directors, i.e., directors appointed in response to activist demands. Using a sample of 3,259 activism events from 2004 to 2016, we identify 1,623 activist directors.... View Details
      Keywords: Governing and Advisory Boards; Investment Activism; Business and Shareholder Relations
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      Gow, Ian D., Sa-Pyung Sean Shin, and Suraj Srinivasan. "Activist Directors: Determinants and Consequences." Review of Accounting Studies 29, no. 3 (September 2024): 2578–2616.
      • 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.
      • 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.)
      • 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.
      • 2023
      • Working Paper

      Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality

      By: Fabrizio Dell'Acqua, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon and Karim R. Lakhani
      The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks. In our study conducted with Boston Consulting Group, a global management consulting firm, we examine... View Details
      Keywords: Large Language Model; AI and Machine Learning; Performance Efficiency; Performance Improvement
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      Dell'Acqua, Fabrizio, Edward McFowland III, Ethan Mollick, Hila Lifshitz-Assaf, Katherine C. Kellogg, Saran Rajendran, Lisa Krayer, François Candelon, and Karim R. Lakhani. "Navigating the Jagged Technological Frontier: Field Experimental Evidence of the Effects of AI on Knowledge Worker Productivity and Quality." Harvard Business School Working Paper, No. 24-013, September 2023.
      • 2023
      • Article

      Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators

      By: Benjamin Jakubowski, Siram Somanchi, Edward McFowland III and Daniel B. Neill
      Regression discontinuity (RD) designs are widely used to estimate causal effects in the absence of a randomized experiment. However, standard approaches to RD analysis face two significant limitations. First, they require a priori knowledge of discontinuities in... View Details
      Keywords: Regression Discontinuity Design; Analytics and Data Science; AI and Machine Learning
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      Jakubowski, Benjamin, Siram Somanchi, Edward McFowland III, and Daniel B. Neill. "Exploiting Discovered Regression Discontinuities to Debias Conditioned-on-observable Estimators." Journal of Machine Learning Research 24, no. 133 (2023): 1–57.
      • 2024
      • Working Paper

      Using LLMs for Market Research

      By: James Brand, Ayelet Israeli and Donald Ngwe
      Large language models (LLMs) have rapidly gained popularity as labor-augmenting tools for programming, writing, and many other processes that benefit from quick text generation. In this paper we explore the uses and benefits of LLMs for researchers and practitioners... View Details
      Keywords: Large Language Model; Research; AI and Machine Learning; Analysis; Customers; Consumer Behavior; Technology Industry; Information Technology Industry
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      Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
      • April 2023
      • Article

      Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach

      By: Yilun Xing, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer and Andrew Kun
      Automated vehicles (AVs) offer human operators the opportunity to participate in non-driving activities while on the move. In this study, we examined and compared drivers' perception of non-driving activities in two driving modes: highly AVs in the future and current... View Details
      Keywords: Perception; Behavior; Surveys; Auto Industry
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      Xing, Yilun, Linda Ng Boyle, Raffaella Sadun, John D. Lee, Orit Shaer, and Andrew Kun. "Perceptions Related to Engaging in Non-driving Activities in an Automated Vehicle While Commuting: A Text Mining Approach." Transportation Research Part F: Traffic Psychology and Behaviour 94 (April 2023): 305–320.
      • 2024
      • Working Paper

      Everyone Steps Back?: The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High

      By: John (Jianqui) Bai, William R. Kerr, Chi Wan and Alptug Yorulmaz
      We study racial biases on Kickstarter across multiple ethnic groups from 2009-2021. Scaling the concept of racially salient events, we quantify the close co-movement of minority funding gaps to inflamed political rhetoric surrounding migration. The racial funding gap... View Details
      Keywords: Crowdfunding; Prejudice and Bias; Race; Immigration; Public Opinion
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      Bai, John (Jianqui), William R. Kerr, Chi Wan, and Alptug Yorulmaz. "Everyone Steps Back? The Widespread Retraction of Crowd-Funding Support for Minority Creators When Migration Fear Is High." Harvard Business School Working Paper, No. 23-046, January 2023. (Revised February 2024.)
      • December 2022
      • Article

      The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance

      By: Alexandra C. Feldberg
      This multi-method study of managers in a grocery chain identifies a novel mechanism by which threats of gender stereotypes undermine women’s ability to be effective managers. I find that women managers face a task bind, a dilemma that managers experience as they try to... View Details
      Keywords: Gender Stereotypes; Gender; Managerial Roles; Performance Expectations
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      Feldberg, Alexandra C. "The Task Bind: Explaining Gender Differences in Managerial Tasks and Performance." Administrative Science Quarterly 67, no. 4 (December 2022): 1049–1092.
      • December 2022
      • Article

      Two Representations of Information Structures and Their Comparisons

      By: Jerry R. Green and Nancy L. Stokey
      This paper compares two representations of informativeness. View Details
      Keywords: Decision Choices and Conditions; Risk and Uncertainty; Information; Analysis
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      Green, Jerry R., and Nancy L. Stokey. "Two Representations of Information Structures and Their Comparisons." Decisions in Economics and Finance 45, no. 2 (December 2022): 541–547.
      • 2022
      • White Paper

      The American Opportunity Index: A Corporate Scorecard of Worker Advancement

      By: Matt Sigelman, Joseph Fuller, Nik Dawson and Gad Levanon
      The American Opportunity Index: A Corporate Scorecard of Worker Advancement is a new effort to give companies and other stakeholders a set of robust tools that measure how well major employers are doing in fostering economic mobility for workers and how they could do... View Details
      Keywords: Upward Mobility; Career Advancement; Personal Development and Career; Compensation and Benefits; Employees; Wages; Human Capital; Recruitment
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      Sigelman, Matt, Joseph Fuller, Nik Dawson, and Gad Levanon. "The American Opportunity Index: A Corporate Scorecard of Worker Advancement." White Paper, Burning Glass Institute, October 2022 (A joint project with Harvard Business School Project on Managing the Future of Work and Schultz Family Foundation.)
      • September 2022
      • Article

      Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles

      By: Alyssa J. Tan, Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson and David A. Preece
      Loneliness, a negative emotion stemming from the perception of unmet social needs, is a major public health concern. Current interventions often target social domains but produce small effects and are not as effective as established emotion regulation (ER)-based... View Details
      Keywords: Emotions
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      Tan, Alyssa J., Vincent Mancini, James J. Gross, Amit Goldenberg, Johanna C. Badcock, Michelle H. Lim, Rodrigo Becerra, Ben Jackson, and David A. Preece. "Loneliness Versus Distress: A Comparison of Emotion Regulation Profiles." Behaviour Change 39, no. 3 (September 2022): 180–190.
      • August 2022
      • Article

      Availability of New Medicines in the U.S. and Germany From 2004 to 2018

      By: Katharina Blankart, Huseyin Naci and Amitabh Chandra
      Importance: Germany's unique approach to coverage determination and pricing has ensured that effective medicines remain on the market, often at prices reduced through negotiation. However, less is known about trade-offs of this approach with regard to initial... View Details
      Keywords: Market Entry and Exit; Price; Market Timing; Governing Rules, Regulations, and Reforms; Pharmaceutical Industry; United States; Germany
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      Blankart, Katharina, Huseyin Naci, and Amitabh Chandra. "Availability of New Medicines in the U.S. and Germany From 2004 to 2018." e2229231. JAMA Network Open 5, no. 8 (August 2022).
      • June 2022
      • Case

      Business Implications from Regulating Carbon Emissions in the EU

      By: George Serafeim and Benjamin Maletta
      In the beginning of the 21st century, the European Union (the EU) had led the global fight against climate change with a wide array of policy measures. The EU’s primary approach to climate policy had been taxation via the European Union Emissions Trading System (EU... View Details
      Keywords: Regulation; Carbon Emissions; Trade; Sustainability; Decarbonization; Performance; Climate Change; Analysis; Strategy; Taxation; Policy; Environmental Regulation; Industry Structures; European Union
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      Serafeim, George, and Benjamin Maletta. "Business Implications from Regulating Carbon Emissions in the EU." Harvard Business School Case 122-106, June 2022.
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • 2022
      • Working Paper

      Small Campaign Donors

      By: Laurent Bouton, Julia Cagé, Edgard Dewitte and Vincent Pons
      In this paper, we study the characteristics and behavior of small donors, and compare them to those of large donors. We first build a novel dataset including all the 340 million individual contributions reported to the U.S. Federal Election Commission between 2005 and... View Details
      Keywords: Campaign Finance; Campaign Contributions; Small Donations; ActBlue; WinRed; TV Advertising; Political Elections; Finance; Demographics; Advertising; Analysis; Analytics and Data Science
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      Bouton, Laurent, Julia Cagé, Edgard Dewitte, and Vincent Pons. "Small Campaign Donors." NBER Working Paper Series, No. 30050, May 2022.
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