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      • Faculty Publications  (167)

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      • March 2022
      • Article

      Where to Locate COVID-19 Mass Vaccination Facilities?

      By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
      The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new... View Details
      Keywords: Vaccines; COVID-19; Health Care and Treatment; Health Pandemics; Performance Effectiveness; Analytics and Data Science; Mathematical Methods
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      Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
      • February 2022
      • Case

      Cleveland Clinic Abu Dhabi

      By: Linda A. Hill and Emily Tedards
      In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
      Keywords: Organizational Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
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      Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi." Harvard Business School Case 422-058, February 2022.
      • February 2022
      • Case

      Cleveland Clinic Abu Dhabi (Abridged)

      By: Linda A. Hill and Emily Tedards
      In 2006, the Cleveland Clinic and Mubadala Investment Company partnered with a bold ambition to deliver world class healthcare in the United Arab Emirates. In 2015, after nearly a decade of planning and construction, Cleveland Clinic Abu Dhabi opened its doors. By... View Details
      Keywords: Organization Behavior; Culture; Alignment; Organizational Effectiveness; Purpose; Impact; Leadership Development; Diversity; Collaboration; Co-creation; Learning Organizations; Empowerment; Teams; Team Dynamics; Teamwork; Team Effectiveness; Trust; Talent; Talent Development And Retention; Psychological Safety; Organizational Evolution; Coaching; Board; Analytics; Innovation; Data; Data Visualization; Digital Technology; Digital; Customer Experience; Experimentation; Change Management; Data-driven Decision-making; Debates; Ecosystem; Partnership; Telemedicine; Sustainability; Global Organizations; Local; Hospital; Healthcare; United Arab Emirates; Health Care and Treatment; Partners and Partnerships; Globalization; Quality; Organizational Culture; Mission and Purpose; Innovation and Management; Information Technology; Joint Ventures; Leadership; Performance Effectiveness; Abu Dhabi; United Arab Emirates
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      Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi (Abridged)." Harvard Business School Case 422-056, February 2022.
      • February 2022
      • Article

      Taxation and Innovation in the 20th Century

      By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva
      This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax... View Details
      Keywords: Innovation; Income Taxes; Corporate Taxation; Firms; Inventors; State Taxation; Business Taxation; R&D Tax Credits; Taxation; Innovation and Invention; History; United States
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      Akcigit, Ufuk, John Grigsby, Tom Nicholas, and Stefanie Stantcheva. "Taxation and Innovation in the 20th Century." Quarterly Journal of Economics 137, no. 1 (February 2022): 329–385.
      • January 2022
      • Article

      Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

      By: David R. Clough and Andy Wu
      Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details
      Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry
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      Clough, David R., and Andy Wu. "Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems." Academy of Management Review 47, no. 1 (January 2022): 184–189.
      • 2021
      • Article

      ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

      By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
      We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
      Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
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      Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
      • 2024
      • Working Paper

      Omnia Juncta in Uno: Foreign Powers and Trademark Protection in Shanghai's Concession Era

      By: Laura Alfaro, Cathy Bao, Maggie X. Chen, Junjie Hong and Claudia Steinwender
      We investigate how firms and markets adapt to trademark protection, an extensively utilized but under-examined form of IP protection to address asymmetric information, by exploring a historical precedent: China’s 1923 trademark law. Exploiting unique, newly digitized... View Details
      Keywords: Trademark; Firm Dynamics; Intermediaries; Intellectual Property Institutions; Trademarks; Intellectual Property; Laws and Statutes; Outcome or Result; Organizational Change and Adaptation; China
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      Alfaro, Laura, Cathy Bao, Maggie X. Chen, Junjie Hong, and Claudia Steinwender. "Omnia Juncta in Uno: Foreign Powers and Trademark Protection in Shanghai's Concession Era." Harvard Business School Working Paper, No. 22-030, November 2021. (Revised July 2024.)
      • November 2021
      • Article

      Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective

      By: Iavor Bojinov, Ashesh Rambachan and Neil Shephard
      In panel experiments, we randomly assign units to different interventions, measuring their outcomes, and repeating the procedure in several periods. Using the potential outcomes framework, we define finite population dynamic causal effects that capture the relative... View Details
      Keywords: Panel Data; Dynamic Causal Effects; Potential Outcomes; Finite Population; Nonparametric; Mathematical Methods
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      Bojinov, Iavor, Ashesh Rambachan, and Neil Shephard. "Panel Experiments and Dynamic Causal Effects: A Finite Population Perspective." Quantitative Economics 12, no. 4 (November 2021): 1171–1196.
      • November 2021
      • Article

      The Dynamics of Gender and Alternatives in Negotiation

      By: Jennifer E. Dannals, Julian J. Zlatev, Nir Halevy and Margaret A. Neale
      A substantial body of prior research documents a gender gap in negotiation performance. Competing accounts suggest that the gap is due either to women’s stereotype-congruent behavior in negotiations or to backlash enacted toward women for stereotype-incongruent... View Details
      Keywords: Alternatives; Gender Gap; Negotiation; Gender; Performance
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      Dannals, Jennifer E., Julian J. Zlatev, Nir Halevy, and Margaret A. Neale. "The Dynamics of Gender and Alternatives in Negotiation." Journal of Applied Psychology 106, no. 11 (November 2021): 1655–1672.
      • 2021
      • Working Paper

      Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression

      By: Prithwiraj Choudhury, Sunasir Dutta, Hise O. Gibson and Eric Lin
      We study the effects of crucible experiences along multiple sensitive periods on career progression. While prior literature has hinted that individuals can be imprinted during multiple sensitive periods, not just during the early career, there has been scant attention... View Details
      Keywords: Jobs and Positions; Personal Development and Career; Management Skills; Human Capital
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      Choudhury, Prithwiraj, Sunasir Dutta, Hise O. Gibson, and Eric Lin. "Going to Extremes: Crucibles, Multiple Sensitive Periods, and Career Progression." Harvard Business School Working Paper, No. 22-006, August 2021.
      • July 2021
      • Article

      Medical Debt in the U.S., 2009–2020

      By: Raymond Kluender, Neale Mahoney, Francis Wong and Wesley Yin
      Importance: Medical debt is an increasing concern in the US, yet there is limited understanding of the amount and distribution of medical debt, and its association with health care policies.

      Objective: To measure the amount of medical debt nationally and by... View Details
      Keywords: Debt; Borrowing and Debt; Health Care and Treatment; United States
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      Kluender, Raymond, Neale Mahoney, Francis Wong, and Wesley Yin. "Medical Debt in the U.S., 2009–2020." JAMA, the Journal of the American Medical Association 326, no. 3 (July 2021): 250–256.
      • 2021
      • Article

      To Thine Own Self Be True? Incentive Problems in Personalized Law

      By: Jordan M. Barry, John William Hatfield and Scott Duke Kominers
      Recent years have seen an explosion of scholarship on “personalized law.” Commentators foresee a world in which regulators armed with big data and machine learning techniques determine the optimal legal rule for every regulated party, then instantaneously disseminate... View Details
      Keywords: Personalized Law; Regulation; Regulatory Avoidance; Regulatory Arbitrage; Law And Economics; Law And Technology; Law And Artificial Intelligence; Futurism; Moral Hazard; Elicitation; Signaling; Privacy; Law; Governing Rules, Regulations, and Reforms; Information Technology; AI and Machine Learning
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      Barry, Jordan M., John William Hatfield, and Scott Duke Kominers. "To Thine Own Self Be True? Incentive Problems in Personalized Law." Art. 2. William & Mary Law Review 62, no. 3 (2021).
      • 2023
      • Working Paper

      Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation

      By: Sam (Ruiqing) Cao and Marco Iansiti
      The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data... View Details
      Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation
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      Cao, Sam (Ruiqing), and Marco Iansiti. "Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation." Harvard Business School Working Paper, No. 21-122, May 2021. (Revised November 2023.)
      • May 2021 (Revised February 2024)
      • Teaching Note

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Ayelet Israeli and Jill Avery
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Israeli, Ayelet, and Jill Avery. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Teaching Note 521-097, May 2021. (Revised February 2024.)
      • 2021
      • Working Paper

      Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

      By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
      How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
      Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics
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      Murciano-Goroff, Raviv, Ran Zhuo, and Shane Greenstein. "Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage." NBER Working Paper Series, No. 28738, April 2021.
      • 2021
      • Working Paper

      Population Interference in Panel Experiments

      By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
      The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
      Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods
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      Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
      • January 2021 (Revised March 2021)
      • Case

      THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)

      By: Jill Avery, Ayelet Israeli and Emma von Maur
      THE YES, a multi-brand shopping app launched in May 2020 offered a new type of buying experience for women’s fashion, driven by a sophisticated algorithm that used data science and machine learning to create and deliver a personalized store for every shopper, based on... View Details
      Keywords: Data; Data Analytics; Artificial Intelligence; AI; AI Algorithms; AI Creativity; Fashion; Retail; Retail Analytics; E-Commerce Strategy; Platform; Platforms; Big Data; Preference Elicitation; Preference Prediction; Predictive Analytics; App Development; "Marketing Analytics"; Advertising; Mobile App; Mobile Marketing; Apparel; Online Advertising; Referral Rewards; Referrals; Female Ceo; Female Entrepreneur; Female Protagonist; Analytics and Data Science; Analysis; Creativity; Marketing Strategy; Brands and Branding; Consumer Behavior; Demand and Consumers; Forecasting and Prediction; Marketing Channels; Digital Marketing; Internet and the Web; Mobile and Wireless Technology; AI and Machine Learning; E-commerce; Digital Platforms; Fashion Industry; Retail Industry; Apparel and Accessories Industry; Consumer Products Industry; United States
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      Avery, Jill, Ayelet Israeli, and Emma von Maur. "THE YES: Reimagining the Future of E-Commerce with Artificial Intelligence (AI)." Harvard Business School Case 521-070, January 2021. (Revised March 2021.)
      • January 2021 (Revised May 2021)
      • Case

      Amazon Shopper Panel: Paying Customers for Their Data

      By: Eva Ascarza and Ayelet Israeli
      This case introduces a new Amazon program that has consumers upload their receipts from transactions outside of Amazon, in exchange for money. Through the discussion, the case aims to explore issues in customers’ privacy in the digital age, the value of customers’ own... View Details
      Keywords: Data Analytics; Data Privacy; Data Management; "Marketing Analytics"; Marketing Communication; Marketing Research; Data-driven Management; E-Commerce Strategy; Ethical Decision Making; CRM; Consumer Protection; Targeted Advertising; Targeted Policies; Data Ownership; Marketing; Research; Marketing Communications; Analytics and Data Science; Management; Customer Relationship Management; Ethics; E-commerce; Retail Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Amazon Shopper Panel: Paying Customers for Their Data." Harvard Business School Case 521-058, January 2021. (Revised May 2021.)
      • Article

      Value of New Performance Information in Healthcare: Evidence from Japan

      By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan
      Mandatory measurement and disclosure of outcome measures are commonly used policy tools in healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare... View Details
      Keywords: Value Of Information; Feedback; Patient Satisfaction; Healthcare; Health Care and Treatment; Satisfaction; Information; Measurement and Metrics; Performance Improvement
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      Gallani, Susanna, Takehisa Kajiwara, and Ranjani Krishnan. "Value of New Performance Information in Healthcare: Evidence from Japan." International Journal of Health Economics and Management 20, no. 4 (December 2020): 319–357.
      • November 3, 2020
      • Article

      Gender Differences in COVID-19 Attitudes and Behavior: Panel Evidence from Eight Countries

      By: Vincenzo Galasso, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard and Martial Foucault
      Using original data from two waves of a survey conducted in March and April 2020 in eight OECD countries (N = 21,649), we show that women are more likely to see COVID-19 as a very serious health problem, to agree with restraining public policy measures adopted in... View Details
      Keywords: COVID-19; Health Pandemics; Attitudes; Behavior; Gender; Policy; Governance Compliance
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      Galasso, Vincenzo, Vincent Pons, Paola Profeta, Michael Becher, Sylvain Brouard, and Martial Foucault. "Gender Differences in COVID-19 Attitudes and Behavior: Panel Evidence from Eight Countries." Proceedings of the National Academy of Sciences 117, no. 44 (November 3, 2020).
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