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(119,814)
- Faculty Publications (37,942)
- 2023
- Working Paper
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
Lane, Jacqueline N. "The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’." Harvard Business School Working Paper, No. 23-037, January 2023.
- January 2023
- Teaching Plan
Vicky Tsai and Tatcha: Confronting Stereotypes
By: Geoffrey Jones and Mona Rahmani
- January 16, 2023
- Article
40 Ideas to Shake Up Your Hiring Process
By: Joseph Fuller, Nithya Vaduganathan, Allison Bailey and Manjari Raman
Many companies today are struggling to hire and retain talent, but more often than not the problem is self-inflicted: They’re simply not using a broad enough array of tools, sometimes because they don’t even know the tools exist. In this article, the authors list 40... View Details
Fuller, Joseph, Nithya Vaduganathan, Allison Bailey, and Manjari Raman. "40 Ideas to Shake Up Your Hiring Process." Harvard Business Review (website) (January 16, 2023).
- 2023
- Conference Presentation
[Invited Presentation]
- 2023
- Conference Presentation
[Invited Presentation]
- 2023
- Conference Presentation
[Invited Presentation]
- 9 Aug 2023 - 12 Aug 2023
- Conference Presentation
[Invited Presentation]
- 2023
- Conference Presentation
[Invited Presentation]
- 2023
- Conference Presentation
[Invited Presentation]
- 2023
- Working Paper
Achieving Universal Health Insurance Coverage in the United States: Addressing Market Failures or Providing a Social Floor?
By: Katherine Baicker, Amitabh Chandra and Mark Shepard
The United States spends substantially more on health care than most developed countries, yet leaves a greater share of the population uninsured. We suggest that incremental insurance expansions focused on addressing market failures will propagate inefficiencies and... View Details
Baicker, Katherine, Amitabh Chandra, and Mark Shepard. "Achieving Universal Health Insurance Coverage in the United States: Addressing Market Failures or Providing a Social Floor?" NBER Working Paper Series, No. 30854, January 2023.
- 13 Sep 2023 - 15 Sep 2023
- Conference Presentation
An Intrinsic Motivation for Self-Orientation
By: Julian De Freitas, C Colas, T Mills, Laurie Paul, L. A. Paul and T. D. Ullman
- 17 Nov 2023 - 20 Nov 2023
- Conference Presentation
Autopilot or Copilot? Label Mismarketing and Autonomous Vehicle Liability
By: Stuti Agarwal and Julian De Freitas
- January 2023
- Article
Calculators for Women: When Identity-Based Appeals Backfire
By: Tami Kim, Kate Barasz, Michael I. Norton and Leslie K. John
From “Chick Beer” to “Dryer Sheets for Men,” identity-based labeling is frequently deployed by marketers to appeal to specific target markets. Yet such identity appeals can backfire, alienating the very consumers they aim to attract. We theorize and empirically... View Details
Keywords: Categorization Threat; Stereotypes; Identity; Labels; Gender; Perception; Consumer Behavior
Kim, Tami, Kate Barasz, Michael I. Norton, and Leslie K. John. "Calculators for Women: When Identity-Based Appeals Backfire." Special Issue on Racism and Discrimination in the Marketplace edited by Samantha N. N. Cross and Stephanie Dellande. Journal of the Association for Consumer Research 8, no. 1 (January 2023): 72–82.
- 8 Sep 2023
- Conference Presentation
Chatbots and Mental Health: Insights into the Safety of Generative AI
By: Julian De Freitas, K. Uguralp, Z. Uguralp and Stefano Puntoni
De Freitas, Julian, K. Uguralp, Z. Uguralp, and Stefano Puntoni. "Chatbots and Mental Health: Insights into the Safety of Generative AI." Paper presented at the Business & Generative AI Workshop, Wharton School, AI at Wharton, San Francisco, CA, United States, September 8, 2023.
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- 2 Mar 2023 - 4 Mar 2023
- Conference Presentation
Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications
By: Julian De Freitas, K. Uguralp and Z. Oguz
De Freitas, Julian, K. Uguralp, and Z. Oguz. "Ethical Risks of Autonomous Products: The Case of Mental Health Crises on AI Companion Applications." Paper presented at the Society for Consumer Psychology Annual Conference, San Juan, PR, March 2–4, 2023.
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a... View Details
Keywords: Causal Inference; Heterogeneous Treatment Effects; Precision Medicine; Uplift Modeling; Analytics and Data Science; AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.
- January–February 2023
- Article
External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures
By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
- January 2023
- Article
Firm-Induced Migration Paths and Strategic Human-Capital Outcomes
By: Prithwiraj (Raj) Choudhury, Tarun Khanna and Victoria Sevcenko
Firm-induced migration typically entails firms relocating workers to fill value-creating positions at destination locations. But such relocated workers are often exposed to external employment opportunities at their destinations, possibly triggering turnover. We... View Details
Keywords: Worker Relocation; Turnover; Firm-induced Migration; Smaller Towns; Employee Mobility; Geographic Mobility; Migration; Clusters; Employees; Geographic Location; Performance; Opportunities; Retention; Human Capital; Talent and Talent Management
Choudhury, Prithwiraj (Raj), Tarun Khanna, and Victoria Sevcenko. "Firm-Induced Migration Paths and Strategic Human-Capital Outcomes." Management Science 69, no. 1 (January 2023): 419–445.