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      • Faculty Publications  (221)

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      • 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.
      • March 2024 (Revised April 2025)
      • Case

      TELEXISTENCE Inc.

      By: Paul A. Gompers and Akiko Saito
      A case about a Japanese robotics startup aiming to enter the U.S. market with its robots that combine AI and human intervention to complete restocking tasks in retail stores. View Details
      Keywords: Business Startups; Entrepreneurship; Market Entry and Exit; Technology Adoption; Decisions; AI and Machine Learning; Retail Industry; Technology Industry; Japan; United States
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      Gompers, Paul A., and Akiko Saito. "TELEXISTENCE Inc." Harvard Business School Case 224-031, March 2024. (Revised April 2025.)
      • February 9, 2024
      • Article

      Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries

      By: Madalina Vlasceanu, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman and et al.
      Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate... View Details
      Keywords: Climate Change; Motivation and Incentives; Behavior; Policy; Knowledge Sharing; Values and Beliefs
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      Vlasceanu, Madalina, Kimberly C. Doell, Joseph B. Bak-Coleman, Boryana Todorova, Michael M. Berkebile-Weinberg, Amit Goldenberg, Eric Shuman, and et al. "Addressing Climate Change with Behavioral Science: A Global Intervention Tournament in 63 Countries." Science Advances 10, no. 6 (February 9, 2024).
      • 2024
      • Working Paper

      Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift

      By: Matthew DosSantos DiSorbo and Kris Ferreira
      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). These outliers often originate from covariate shift,... View Details
      Keywords: AI and Machine Learning; Decision Choices and Conditions
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      DosSantos DiSorbo, Matthew, and Kris Ferreira. "Warnings and Endorsements: Improving Human-AI Collaboration Under Covariate Shift." Working Paper, February 2024.
      • 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
      • 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.
      • November 2023
      • Article

      Psychological Factors Underlying Attitudes toward AI Tools

      By: Julian De Freitas, Stuti Agarwal, B. Schmitt and N. Haslam
      What are the psychological factors driving attitudes toward AI tools, and how can resistance to AI systems be overcome when they are beneficial? In this perspective, we first organize the main sources of resistance into five main categories: opacity, emotionlessness,... View Details
      Keywords: Policy; Self; AI and Machine Learning; Attitudes; Technology Adoption
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      De Freitas, Julian, Stuti Agarwal, B. Schmitt, and N. Haslam. "Psychological Factors Underlying Attitudes toward AI Tools." Nature Human Behaviour 7, no. 11 (November 2023): 1845–1854.
      • 2023
      • Working Paper

      The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through

      By: Holly Dykstra, Shibeal O'Flaherty and A.V. Whillans
      Behavioral interventions often focus on reducing friction to encourage behavior change. In contrast, we provide evidence that adding friction can promote long-term behavior change when behaviors involve repeated costly efforts over longer time horizons. In... View Details
      Keywords: Friction; Behavior; Environmental Sustainability; Transportation; Outcome or Result
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      Dykstra, Holly, Shibeal O'Flaherty, and A.V. Whillans. "The Buy-In Effect: When Increasing Initial Effort Motivates Behavioral Follow-Through." Harvard Business School Working Paper, No. 24-020, October 2023.
      • October 2023 (Revised February 2024)
      • Technical Note

      Design and Evaluation of Targeted Interventions

      By: Eva Ascarza and Ta-Wei (David) Huang
      Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
      Keywords: Marketing; Customer Relationship Management; Analysis; Design; Business Strategy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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      Ascarza, Eva, and Ta-Wei (David) Huang. "Design and Evaluation of Targeted Interventions." Harvard Business School Technical Note 524-034, October 2023. (Revised February 2024.)
      • September 2023
      • Supplement

      Design and Evaluation of Targeted Interventions

      By: Eva Ascarza
      Targeted interventions serve as a pivotal tool in business strategy, streamlining decisions for enhanced efficiency and effectiveness. This note delves into two central facets of such interventions: first, the design of potent decision guidelines, or targeting... View Details
      Keywords: Marketing; Design; Business Strategy; Policy; Retail Industry; Apparel and Accessories Industry; Technology Industry; Financial Services Industry; Telecommunications Industry
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      Ascarza, Eva. "Design and Evaluation of Targeted Interventions." Harvard Business School Spreadsheet Supplement 524-703, September 2023.
      • September 2023
      • Article

      Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic

      By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard and Martial Foucault
      We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic messages on COVID-19 vaccine intentions and behaviour. We... View Details
      Keywords: COVID-19; Vaccination; Vaccine Hesitancy; Information Campaigns; Health Pandemics; Behavior; Information
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      Galasso, Vincenzo, Vincent Pons, Paola Profeta, Martin McKee, David Stuckler, Michael Becher, Sylvain Brouard, and Martial Foucault. "Addressing Vaccine Hesitancy: Experimental Evidence from Nine Countries during the COVID-19 Pandemic." BMJ Global Health 8, no. 9 (September 2023).
      • September–October 2023
      • Article

      The New Era of Industrial Policy Is Here

      By: Willy C. Shih
      Governments around the world are increasingly intervening in the private sector through industrial policies designed to help domestic sectors reach goals that markets alone are unlikely to achieve. Companies in targeted sectors—such as automakers, energy companies, and... View Details
      Keywords: Policy; Government and Politics; Business and Government Relations; Research and Development; Economic Sectors
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      Shih, Willy C. "The New Era of Industrial Policy Is Here." Harvard Business Review 101, no. 5 (September–October 2023): 66–75.
      • July 2023
      • Article

      Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users

      By: Jonas P. Schöne, David Garcia, Brian Parkinson and Amit Goldenberg
      Social media users tend to produce content that contains more positive than negative emotional language. However, negative emotional language is more likely to be shared. To understand why, research has thus far focused on psychological processes associated with... View Details
      Keywords: Social Media; Emotions
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      Schöne, Jonas P., David Garcia, Brian Parkinson, and Amit Goldenberg. "Negative Expressions Are Shared More on Twitter for Public Figures Than for Ordinary Users." PNAS Nexus 2, no. 7 (July 2023).
      • Summer 2023
      • Article

      Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?

      By: Eric Barrette, Leemore S. Dafny and Karen Shen
      Even among commercially insured individuals, opioid use disorder is undertreated in the United States: nearly half receive no treatment within six months of a new diagnosis. Using a difference-in-differences specification exploiting the extension of insurance parity... View Details
      Keywords: Opioid Treatment; Medication-assisted Treatment; Substance Use Disorder; Private Insurance; Insurance; Health Care and Treatment
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      Barrette, Eric, Leemore S. Dafny, and Karen Shen. "Do Policies to Increase Access to Treatment for Opioid Use Disorder Work?" American Journal of Health Economics 9, no. 3 (Summer 2023): 297–330.
      • June 2023
      • Simulation

      Artea Dashboard and Targeting Policy Evaluation

      By: Ayelet Israeli and Eva Ascarza
      Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea... View Details
      Keywords: Algorithm Bias; Algorithmic Data; Race And Ethnicity; Experimentation; Promotion; Marketing And Society; Big Data; Privacy; Data-driven Management; Data Analysis; Data Analytics; E-Commerce Strategy; Discrimination; Targeted Advertising; Targeted Policies; Pricing Algorithms; A/B Testing; Ethical Decision Making; Customer Base Analysis; Customer Heterogeneity; Coupons; Marketing; Race; Gender; Diversity; Customer Relationship Management; Marketing Communications; Advertising; Decision Making; Ethics; E-commerce; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; United States
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      Israeli, Ayelet, and Eva Ascarza. "Artea Dashboard and Targeting Policy Evaluation." Harvard Business School Simulation 523-707, June 2023.
      • 2023
      • Working Paper

      Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs

      By: Jacqueline N. Lane, Karim R. Lakhani and Roberto Fernandez
      Competence development in digital technologies, analytics, and artificial intelligence is increasingly important to all types of organizations and their workforce. Universities and corporations are investing heavily in developing training programs, at all tenure... View Details
      Keywords: STEM; Selection and Staffing; Gender; Prejudice and Bias; Training; Equality and Inequality; Competency and Skills
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      Lane, Jacqueline N., Karim R. Lakhani, and Roberto Fernandez. "Setting Gendered Expectations? Recruiter Outreach Bias in Online Tech Training Programs." Harvard Business School Working Paper, No. 23-066, April 2023. (Accepted by Organization Science.)
      • 2023
      • Article

      Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control

      By: Susanna Gallani
      Can managers use monetary incentives to elicit cooperation from workers they cannot reward for their efforts? I study “conduit incentives,” an innovative incentive design, whereby managers influence bonus-ineligible workers’ effort by offering bonus-eligible employees... View Details
      Keywords: Organizational Behavior Modification; Peer Monitoring; Persistence Of Performance Improvements; Crowding Out; Implicit Incentives; Compensation; Healthcare; Social Pressure; Image Motivation; Incentives; Motivation; Performance; Behavior; Motivation and Incentives; Compensation and Benefits; Governing Rules, Regulations, and Reforms; Organizational Culture; Health Industry; California
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      Gallani, Susanna. "Conduit Incentives: Eliciting Cooperation from Workers Outside of Managers' Control." Accounting Review 93, no. 3 (2023): 1–28.
      • July 2023
      • Article

      Political Strategies for Climate and Environmental Solutions

      By: Jonas Meckling and Valerie Karplus
      Many of the barriers to progress in addressing environmental problems, such as climate change, are political. We argue that politics should not be seen only as a constraint but be recognized as a target of intervention to advance environmental solutions. We use the... View Details
      Keywords: Environmental Management; Government and Politics; Problems and Challenges
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      Meckling, Jonas, and Valerie Karplus. "Political Strategies for Climate and Environmental Solutions." Nature Sustainability 6, no. 7 (July 2023): 742–751.
      • 2023
      • Case

      Christiana Figueres and the Collaborative Approach to Negotiating Climate Action

      By: James K. Sebenius, Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro and Mina Subramanian
      This case study centers on Harvard’s Program on Negotiation 2022 Great Negotiator, Christiana Figueres, and her efforts as Executive Secretary of the United Nations Framework Convention on Climate Change (UNFCCC) to build momentum for, and ultimately pass, the 2015... View Details
      Keywords: Climate Change; Negotiation; Environmental Regulation; International Relations; Leadership
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      Sebenius, James K., Laurence A. Green, Hannah Riley-Bowles, Lara SanPietro, and Mina Subramanian. "Christiana Figueres and the Collaborative Approach to Negotiating Climate Action." Program on Negotiation at Harvard Law School Case, 2023. Electronic.
      • 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.
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