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      • November 2020
      • Teaching Note

      DayTwo: Going to Market with Gut Microbiome

      By: Ayelet Israeli
      Teaching Note for HBS Case No. 519-010. DayTwo is a young Israeli startup that applies research on the gut microbiome and machine learning algorithms to deliver personalized nutritional recommendations to its users in order to minimize blood sugar spikes after meals.... View Details
      Keywords: Start-up Growth; Startup; Positioning; Targeting; Go To Market Strategy; B2B Vs. B2C; B2B2C; Health & Wellness; AI; Machine Learning; Female Ceo; Female Protagonist; Science-based; Science And Technology Studies; Ecommerce; Applications; DTC; Direct To Consumer Marketing; US Health Care; "USA,"; Innovation; Pricing; Business Growth; Segmentation; Distribution Channels; Growth and Development Strategy; Business Startups; Science-Based Business; Health; Innovation and Invention; Marketing; Information Technology; Business Growth and Maturation; E-commerce; Applications and Software; Health Industry; Technology Industry; Insurance Industry; Information Technology Industry; Food and Beverage Industry; Israel; United States
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      Israeli, Ayelet. "DayTwo: Going to Market with Gut Microbiome." Harvard Business School Teaching Note 521-052, November 2020.
      • November 2020 (Revised March 2022)
      • Teaching Note

      Social Salary Setting at Spiber

      By: Ashley Whillans and John Beshears
      Teaching Note for HBS Case No. 920-050. The case tells the story of Spiber, a Japanese technology start-up company. To reflect the company’s values, the leadership team implemented a new and unique salary-setting process: each employee had the authority to choose their... View Details
      Keywords: Compensation; General Management; Employee Benefits; Incentives; Motivation; Compensation and Benefits; Fairness; Motivation and Incentives; Management; Happiness; Negotiation; Cross-Cultural and Cross-Border Issues; Japan
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      Whillans, Ashley, and John Beshears. "Social Salary Setting at Spiber." Harvard Business School Teaching Note 921-014, November 2020. (Revised March 2022.)
      • November 2020
      • Article

      Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms

      By: Daniel Trabucchi, Antonella Moretto, Tommaso Buganza and Alan MacCormack
      The importance of platform‐based businesses in the modern economy is growing continuously and becoming increasingly relevant. Specifically, the deployment of digital technologies has enhanced the applicability of two‐sided business models, enabling companies to act not... View Details
      Keywords: Blockchain; Two-Sided Platforms; Business Model; Innovation and Invention; Technological Innovation
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      Trabucchi, Daniel, Antonella Moretto, Tommaso Buganza, and Alan MacCormack. "Disrupting the Disruptors or Enhancing Them? How Blockchain Re‐Shapes Two‐Sided Platforms." Journal of Product Innovation Management 37, no. 6 (November 2020): 552–574.
      • November–December 2020
      • Article

      Getting Serious About Diversity: Enough Already with the Business Case

      By: Robin Ely and David A. Thomas
      Leaders may mean well when they tout the economic payoffs of hiring more women and people of color, but there is no research support for the notion that diversifying the workforce automatically improves a company’s performance. This article critiques the popular... View Details
      Keywords: Diversity; Organizational Culture; Organizational Structure; Change; Trust
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      Ely, Robin, and David A. Thomas. "Getting Serious About Diversity: Enough Already with the Business Case." Harvard Business Review 98, no. 6 (November–December 2020): 114–122. (Winner, McKinsey Best Paper Award, 2021. Winner, Academy of Management, Organizational Behavior Division, Outstanding Practitioner-Orientated Publication in OB, 2021.)
      • October 2020 (Revised March 2024)
      • Case

      Experimentation at Yelp

      By: Iavor Bojinov and Karim R. Lakhani
      Over the last decade, experimentation has become integral to the research and development processes of technology companies—including Yelp—for understanding customer preferences and mitigating innovation risks. The case describes Yelp's journey with experimentation,... View Details
      Keywords: Customer Relationship Management; Collaborative Innovation and Invention; Risk Management; Advertising; Research and Development; Technology Industry
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      Bojinov, Iavor, and Karim R. Lakhani. "Experimentation at Yelp." Harvard Business School Case 621-064, October 2020. (Revised March 2024.)
      • October 2020 (Revised March 2022)
      • Case

      The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)

      By: Ashley V. Whillans and Shibeal O'Flaherty
      This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
      Keywords: Non-cash Compensation; Behavioral Science; Employees; Welfare; Compensation and Benefits; Well-being; United Kingdom
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      Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A)." Harvard Business School Case 921-020, October 2020. (Revised March 2022.)
      • October 2020 (Revised March 2022)
      • Supplement

      The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)

      By: Ashley V. Whillans and Shibeal O'Flaherty
      This case describes the experiences of Michael Sanders—the Chief Executive of the What Works Center for Children’s Social Care—as he led the design and implementation of a program of research aimed at improving the social care system in the United Kingdom (UK) at the... View Details
      Keywords: Non-cash Compensation; Behavioral Science; Employees; Well-being; Compensation and Benefits; United Kingdom
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      Whillans, Ashley V., and Shibeal O'Flaherty. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (B)." Harvard Business School Supplement 921-022, October 2020. (Revised March 2022.)
      • Fall 2020
      • Article

      Christo and Jeanne‐Claude: The Negotiation of Art and Vice Versa

      By: Michael A. Wheeler
      Over the past two decades the Program on Negotiation at Harvard Law School (PON) has named thirteen people as Great Negotiators. The project, directed by my colleague Jim Sebenius, has given us the opportunity to commend our honorees’ outstanding work and to learn from... View Details
      Keywords: Art; Negotiation; Arts
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      Wheeler, Michael A. "Christo and Jeanne‐Claude: The Negotiation of Art and Vice Versa." Negotiation Journal 36, no. 4 (Fall 2020): 471–487.
      • October 2020
      • Article

      Comparative Statics for Size-Dependent Discounts in Matching Markets

      By: David Delacretaz, Scott Duke Kominers and Alexandru Nichifor
      We prove a natural comparative static for many-to-many matching markets in which agents’ choice functions exhibit size-dependent discounts: reducing the extent to which some agent discounts additional partners leads to improved outcomes for the agents on the other side... View Details
      Keywords: Size-dependent Discounts; Path-independence; Respect For Improvements; Market Design; Mathematical Methods
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      Delacretaz, David, Scott Duke Kominers, and Alexandru Nichifor. "Comparative Statics for Size-Dependent Discounts in Matching Markets." Journal of Mathematical Economics 90 (October 2020): 127–131.
      • Oct 2020
      • Conference Presentation

      Optimal, Truthful, and Private Securities Lending

      By: Emily Diana, Michael J. Kearns, Seth Neel and Aaron Leon Roth
      We consider a fundamental dynamic allocation problem motivated by the problem of securities lending in financial markets, the mechanism underlying the short selling of stocks. A lender would like to distribute a finite number of identical copies of some scarce resource... View Details
      Keywords: Differential Privacy; Mechanism Design; Finance; Mathematical Methods
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      Diana, Emily, Michael J. Kearns, Seth Neel, and Aaron Leon Roth. "Optimal, Truthful, and Private Securities Lending." Paper presented at the 1st Association for Computing Machinery (ACM) International Conference on AI in Finance (ICAIF), October 2020.
      • September 2020 (Revised July 2021)
      • Case

      Moderna (A)

      By: Marco Iansiti, Karim R. Lakhani, Hannah Mayer and Kerry Herman
      In summer 2020, Stephane Bancel, CEO of biotech firm Moderna, faces several challenges as his company races to develop a vaccine for COVID-19. The case explores how a company builds a digital organization, and leverages artificial intelligence and other digital... View Details
      Keywords: COVID-19; Vaccine; Digital Organizations; Organizational Structure; Operations; Management; Health Pandemics; Research and Development; Goals and Objectives
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      Iansiti, Marco, Karim R. Lakhani, Hannah Mayer, and Kerry Herman. "Moderna (A)." Harvard Business School Case 621-032, September 2020. (Revised July 2021.)
      • September 2020 (Revised March 2022)
      • Case

      JOANN: Joannalytics Inventory Allocation Tool

      By: Kris Ferreira and Srikanth Jagabathula
      Michael Joyce, Vice President of Inventory Management at JOANN, championed an effort to develop and implement an inventory allocation analytics tool that used advanced analytics to predict in-season demand of seasonal items for each of JOANN’s nearly 900 stores and... View Details
      Keywords: Analytics; Machine Learning; Optimization; Inventory Management; Mathematical Methods; Decision Making; Operations; Supply Chain Management; Resource Allocation; Distribution; Technology Adoption; Applications and Software; Change Management; Fashion Industry; Consumer Products Industry; Retail Industry; United States; Ohio
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      Ferreira, Kris, and Srikanth Jagabathula. "JOANN: Joannalytics Inventory Allocation Tool." Harvard Business School Case 621-055, September 2020. (Revised March 2022.)
      • 2024
      • Working Paper

      Chimeric Antigen Receptor T-Cell Therapy—Living Drugs: Case Histories of Transformational Advances

      By: Amar Bhidé and Srikant M. Datar
      In 2017, the US Food and Drug Administration (FDA) approved an immunotherapeutic treatment, called CAR-T therapy, for two kinds of blood cancers—acute leukemia (ALL) and a lymphoma. We describe 1) how CAR-T works, 2) the foundational advances and discoveries, 3) the... View Details
      Keywords: Immunotherapy; Health Care and Treatment; Innovation and Invention; Research and Development; Governing Rules, Regulations, and Reforms
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      Bhidé, Amar, and Srikant M. Datar. "Chimeric Antigen Receptor T-Cell Therapy—Living Drugs: Case Histories of Transformational Advances." Harvard Business School Working Paper, No. 21-035, August 2020. (Revised May 2024.)
      • 2020
      • Working Paper

      Design and Analysis of Switchback Experiments

      By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
      In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted... View Details
      Keywords: Switchback Experiments; Design; Analysis; Mathematical Methods
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      Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Harvard Business School Working Paper, No. 21-034, September 2020.
      • August 2020 (Revised September 2020)
      • Technical Note

      Assessing Prediction Accuracy of Machine Learning Models

      By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
      The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
      Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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      Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
      • August 2020
      • Technical Note

      Comparing Two Groups: Sampling and t-Testing

      By: Iavor I Bojinov, Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih and Michael W. Toffel
      This note describes sampling and t-tests, two fundamental statistical concepts. View Details
      Keywords: Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Analytics and Data Science; Analysis; Surveys; Mathematical Methods
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      Bojinov, Iavor I., Chiara Farronato, Yael Grushka-Cockayne, Willy C. Shih, and Michael W. Toffel. "Comparing Two Groups: Sampling and t-Testing." Harvard Business School Technical Note 621-044, August 2020.
      • 2020
      • Book

      Dealmaking: The New Strategy of Negotiauctions

      By: Guhan Subramanian
      Based on broad research and detailed case studies, Dealmaking provides the jargon-free, empirically sound advice you need to close the deal.
      Leading dealmaking scholar Guhan Subramanian specializes in understanding how deals work. As a Harvard Business... View Details
      Keywords: Negotiation; Auctions; Strategy; Competition; Markets; Negotiation Deal
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      Subramanian, Guhan. Dealmaking: The New Strategy of Negotiauctions. 2nd edition. New York: W. W. Norton & Company, 2020.
      • Article

      Matching in Networks with Bilateral Contracts: Corrigendum

      By: John William Hatfield, Ravi Jagadeesan and Scott Duke Kominers
      Hatfield and Kominers (2012) introduced a model of matching in networks with bilateral contracts and showed that stable outcomes exist in supply chains when firms' preferences over contracts are fully substitutable. Hatfield and Kominers (2012) also asserted that in... View Details
      Keywords: Matching With Contracts; Substitutability; Mathematical Methods
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      Hatfield, John William, Ravi Jagadeesan, and Scott Duke Kominers. "Matching in Networks with Bilateral Contracts: Corrigendum." American Economic Journal: Microeconomics 12, no. 3 (August 2020): 277–285.
      • Article

      The Importance of Being Causal

      By: Iavor I Bojinov, Albert Chen and Min Liu
      Causal inference is the study of how actions, interventions, or treatments affect outcomes of interest. The methods that have received the lion’s share of attention in the data science literature for establishing causation are variations of randomized experiments.... View Details
      Keywords: Causal Inference; Observational Studies; Cross-sectional Studies; Panel Studies; Interrupted Time-series; Instrumental Variables
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      Bojinov, Iavor I., Albert Chen, and Min Liu. "The Importance of Being Causal." Harvard Data Science Review 2.3 (July 30, 2020).
      • July 2020
      • Case

      Mortgage Backed Securities and the Covid-19 Pandemic

      By: Emil N. Siriwardane, Luis M. Viceira and Dean Xu
      In April 2020, global financial markets were still reeling as the COVID-19 pandemic spread rapidly across the world. Global equity markets had initially fallen by 30% in response to the pandemic, and high-yield credit markets had dropped by nearly 20%. In contrast,... View Details
      Keywords: COVID-19; Mortgage-backed Securities; Health Pandemics; Financial Markets; Assets; Resource Allocation; Financial Instruments; Decision Making
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      Siriwardane, Emil N., Luis M. Viceira, and Dean Xu. "Mortgage Backed Securities and the Covid-19 Pandemic." Harvard Business School Case 221-010, July 2020.
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