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      • 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.
      • October 2021
      • Case

      Sparking Growth at Consumer Reports

      By: Christina Wallace
      Consumer Reports (CR) is a nonprofit organization that traditionally provided independent testing and research on consumer goods. With the need to diversify its audience and revenue streams CR partnered with market research firm Spark No. 9 to identify potential... View Details
      Keywords: Nonprofit Management; Innovation; Entrepreneurship; Marketing; Social Media; Innovation and Management; Nonprofit Organizations
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      Wallace, Christina. "Sparking Growth at Consumer Reports." Harvard Business School Case 822-035, October 2021.
      • 4 Oct 2021
      • Other Presentation

      Amy Edmondson, Professor Leadership & Management at Harvard

      By: Amy C. Edmondson and Guy Bloom
      Amy C. Edmondson is an American scholar of leadership, teaming, and organizational learning. She is currently the Novartis Professor of Leadership at Harvard Business School. Amy is the author of seven books and more than 75 articles and case studies.
      She is... View Details
      Keywords: Psychological Safety; Leadership; Organizations; Performance Effectiveness
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      "Amy Edmondson, Professor Leadership & Management at Harvard." Leadership Bites (podcast), October 4, 2021.
      • October 1, 2021
      • Article

      An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

      By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
      Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
      Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
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      Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
      • September–October 2021
      • Article

      Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb

      By: Shunyuan Zhang, Nitin Mehta, Param Singh and Kannan Srinivasan
      We study the effect of Airbnb’s smart-pricing algorithm on the racial disparity in the daily revenue earned by Airbnb hosts. Our empirical strategy exploits Airbnb’s introduction of the algorithm and its voluntary adoption by hosts as a quasi-natural experiment. Among... View Details
      Keywords: Smart Pricing; Pricing Algorithm; Machine Bias; Discrimination; Racial Disparity; Social Inequality; Airbnb Revenue; Revenue; Race; Equality and Inequality; Prejudice and Bias; Price; Mathematical Methods; Accommodations Industry
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      Zhang, Shunyuan, Nitin Mehta, Param Singh, and Kannan Srinivasan. "Frontiers: Can an AI Algorithm Mitigate Racial Economic Inequality? An Analysis in the Context of Airbnb." Marketing Science 40, no. 5 (September–October 2021): 813–820.
      • September 15, 2021
      • Article

      Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map

      By: Andrea Blasco, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani and Aravind Subramanian
      A recurring problem in biomedical research is how to isolate signals of distinct populations (cell types, tissues, and genes) from composite measures obtained by a single analyte or sensor. Existing computational deconvolution approaches work well in many specific... View Details
      Keywords: Deconvolution; Methods; Open Innovation Competition; Genomics; Research; Innovation and Invention
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      Blasco, Andrea, Ted Natoli, Michael G. Endres, Rinat A. Sergeev, Steven Randazzo, Jin Hyun Paik, N.J. Maximilian Macaluso, Rajiv Narayan, Xiaodong Lu, David Peck, Karim R. Lakhani, and Aravind Subramanian. "Improving Deconvolution Methods in Biology Through Open Innovation Competitions: An Application to the Connectivity Map." Bioinformatics 37, no. 18 (September 15, 2021).
      • September 2021
      • Article

      Diagnostic Bubbles

      By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer
      We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details
      Keywords: Bubble; Speculation; Diagnostic Expectations; Price Bubble; Mathematical Methods
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      Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
      • September 2021
      • Article

      Oh's 8-Universality Criterion Is Unique

      By: Scott Duke Kominers
      Using the methods developed for the proof that the 2-universality criterion is unique, we partially characterize criteria for the n-universality of positive-definite integer-matrix quadratic forms. We then obtain the uniqueness of Oh’s 8-universality criterion as an... View Details
      Keywords: N-universal Lattice; 8-universal Lattice; Universality Criteria; Quadratic Forms; Additively Indecomposable; Mathematical Methods
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      Kominers, Scott Duke. "Oh's 8-Universality Criterion Is Unique." Kyungpook Mathematical Journal 61, no. 3 (September 2021): 455–459.
      • August 2021
      • Teaching Note

      Moderna (A)

      By: Marco Iansiti, Karim R. Lakhani, Kerry Herman and Amy Klopfenstein
      Teaching Note for HBS Case No. 621-032. View Details
      Keywords: Organizational Structure; Operations; Management; Health Pandemics; Research and Development; Goals and Objectives
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      Iansiti, Marco, Karim R. Lakhani, Kerry Herman, and Amy Klopfenstein. "Moderna (A)." Harvard Business School Teaching Note 622-046, August 2021.
      • August 2021 (Revised February 2023)
      • Case

      Fair Park Covid-19 Mass Vaccination Site (A)

      By: Willy Shih
      This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair... View Details
      Keywords: Operations Improvement; Operations And Processes; Toyota Production System; COVID-19 Pandemic; Operations; Service Operations; Health Pandemics; Problems and Challenges; Goals and Objectives; Measurement and Metrics; Health Care and Treatment; Health Industry; United States; Texas
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      Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (A)." Harvard Business School Case 622-003, August 2021. (Revised February 2023.)
      • August 2021 (Revised February 2023)
      • Supplement

      Fair Park Covid-19 Mass Vaccination Site (B)

      By: Willy Shih
      This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair... View Details
      Keywords: Operations Management; Operations Improvement; Operations And Processes; Toyota Production System; COVID-19 Pandemic; Operations; Service Operations; Health Pandemics; Service Delivery; Problems and Challenges; Goals and Objectives; Measurement and Metrics; Health Industry; United States
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      Shih, Willy. "Fair Park Covid-19 Mass Vaccination Site (B)." Harvard Business School Supplement 622-004, August 2021. (Revised February 2023.)
      • August 2021
      • Article

      Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

      By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
      This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details
      Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
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      Khanna, Tarun, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam, and Meena Hewett. "Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders." Academy of Management Perspectives 35, no. 3 (August 2021): 384–399.
      • August 2021
      • Article

      Multiple Imputation Using Gaussian Copulas

      By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
      Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use... View Details
      Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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      Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative Approaches to Studying Social Inequality. Sociological Methods & Research 50, no. 3 (August 2021): 1259–1283. (0049124118799381.)
      • August 2021
      • Article

      The Undervalued Power of Self-relevant Research: The Case of Researching Retirement While Retiring

      By: Teresa M. Amabile and Douglas T. (Tim) Hall
      For decades, training in management research has emphasized objectivity, typically viewed as an arm’s length distance between the topic of the research and the interests of the researcher. This emphasis has led most scholars to avoid research topics of deep personal... View Details
      Keywords: Qualitative Research Methods; Case Research Methods; Organizational Behavior; Careers; Career Changes And Transitions; Self-relevant Research; Research; Personal Development and Career; Transition; Identity; Retirement
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      Amabile, Teresa M., and Douglas T. (Tim) Hall. "The Undervalued Power of Self-relevant Research: The Case of Researching Retirement While Retiring." Academy of Management Perspectives 35, no. 3 (August 2021): 347–366.
      • Article

      Learning Models for Actionable Recourse

      By: Alexis Ross, Himabindu Lakkaraju and Osbert Bastani
      As machine learning models are increasingly deployed in high-stakes domains such as legal and financial decision-making, there has been growing interest in post-hoc methods for generating counterfactual explanations. Such explanations provide individuals adversely... View Details
      Keywords: Machine Learning Models; Recourse; Algorithm; Mathematical Methods
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      Ross, Alexis, Himabindu Lakkaraju, and Osbert Bastani. "Learning Models for Actionable Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • 2021
      • Article

      Nudging the Commute: Using Behaviorally-Informed Interventions to Promote Sustainable Transportation

      By: Ashley Whillans, Joseph Sherlock, Jessica Roberts, Shibeal O'Flaherty, Lyndsay Gavin, Holly Dykstra and Michael Daly
      Dramatic reductions in carbon emissions must take place immediately. A human-centric method of reducing environmental impacts is to “nudge” employees away from single-occupancy vehicles (SOVs) toward more sustainable commuting options. While an abundance of research... View Details
      Keywords: Behavioral Science; Transportation Demand Management; Commuting; Single-occupancy Vehicle Commutes; Transportation; Behavior; Change; Environmental Sustainability
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      Whillans, Ashley, Joseph Sherlock, Jessica Roberts, Shibeal O'Flaherty, Lyndsay Gavin, Holly Dykstra, and Michael Daly. "Nudging the Commute: Using Behaviorally-Informed Interventions to Promote Sustainable Transportation." Behavioral Science & Policy 7, no. 2 (2021): 27–49.
      • June 2021
      • Case

      Modern Endowment Management: Paula Volent and the Bowdoin Endowment

      By: Luis M. Viceira, Emily R. McComb and Dean Xu
      This case examines modern endowment investment management through the lens of a leadership transition between Chief Investment Officers (CIOs). In March 2021, Paula Volent is about to step down as the CIO of the endowment of Bowdoin College after twenty-one years, and... View Details
      Keywords: Investment Portfolio; Investment Banking; Growth Management; Investment Return; Capital Markets; Interest Rates; Competition; Cost Management; Risk Management; Financial Liquidity; Performance Evaluation
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      Viceira, Luis M., Emily R. McComb, and Dean Xu. "Modern Endowment Management: Paula Volent and the Bowdoin Endowment." Harvard Business School Case 221-101, June 2021.
      • May 2021
      • Case

      The SMA Foundation: Steering Therapeutic Research and Development in a Rare Disease

      By: Amitabh Chandra, Spencer Lee-Rey and Caroline Marra
      This case explores incentives for rare disease drug development by chronicling the role of the Spinal Muscular Atrophy (SMA) Foundation in forming strategic partnerships with the scientific research community and pharmaceutical developers to transform the trajectory... View Details
      Keywords: Innovation and Invention; Strategy; Business or Company Management; Society; Health; Public Administration Industry; Health Industry; United States
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      Chandra, Amitabh, Spencer Lee-Rey, and Caroline Marra. "The SMA Foundation: Steering Therapeutic Research and Development in a Rare Disease." Harvard Business School Case 621-112, May 2021.
      • April 2021
      • Teaching Note

      Drinkworks: Home Bar by Keurig

      By: Sunil Gupta and Jonathan Levav
      Teaching Note for HBS Case No. 521-010. In the summer of 2018, Drinkworks CEO Nathaniel Davis needed to make a number of go-to-market decisions ahead of his company’s upcoming product launch. Formed through a joint venture between Keurig Dr. Pepper and Anheuser-Busch... View Details
      Keywords: Marketing; Marketing Strategy; Product Marketing; Product Launch; Product Positioning; Markets; Bids and Bidding; Demand and Consumers; Consumer Behavior; Market Design; Distribution; Distribution Channels; Product; Product Design; Product Development; Business Model; Customers; Customer Value and Value Chain; Decision Making; Decisions; Goods and Commodities; Innovation and Invention; Technological Innovation; Business or Company Management; Growth and Development Strategy; Research; Research and Development; Strategy; Adoption; Competitive Advantage; Segmentation; Information Technology; Information Infrastructure; Value; Value Creation; Food and Beverage Industry; Consumer Products Industry; North and Central America; United States
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      Gupta, Sunil, and Jonathan Levav. "Drinkworks: Home Bar by Keurig." Harvard Business School Teaching Note 521-089, April 2021.
      • 2021
      • Article

      Fair Influence Maximization: A Welfare Optimization Approach

      By: Aida Rahmattalabi, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice and Milind Tambe
      Several behavioral, social, and public health interventions, such as suicide/HIV prevention or community preparedness against natural disasters, leverage social network information to maximize outreach. Algorithmic influence maximization techniques have been proposed... View Details
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      Rahmattalabi, Aida, Shahin Jabbari, Himabindu Lakkaraju, Phebe Vayanos, Max Izenberg, Ryan Brown, Eric Rice, and Milind Tambe. "Fair Influence Maximization: A Welfare Optimization Approach." Proceedings of the AAAI Conference on Artificial Intelligence 35th (2021).
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