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    • All HBS Web  (2,088)
      • Faculty Publications  (249)

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      • March 2022
      • Case

      Pakistan Rising: Bazaar's Growth Story (A)

      By: Paul A. Gompers and Gamze Yucaoglu
      The case opens in September 2021 as Hamza Jawaid and Saad Jangda, co-founders of Bazaar technologies (Bazaar), the Pakistani high growth B2B e-commerce marketplace, are contemplating whether the year-and-a half old startup should also venture into offering financing to...  View Details
      Keywords: Business Model; Emerging Markets; For-Profit Firms; Strategy; Digital Platforms; Information Technology; Value Creation; Globalization; Competition; Expansion; Profit; Resource Allocation; Diversification; Corporate Strategy; Pakistan
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      Gompers, Paul A., and Gamze Yucaoglu. "Pakistan Rising: Bazaar's Growth Story (A)." Harvard Business School Case 822-098, March 2022.
      • March 2022
      • Article

      Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models

      By: Fiammetta Menchetti and Iavor Bojinov
      Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...  View Details
      Keywords: Causal Inference; Partial Interference; Synthetic Controls; Bayesian Structural Time Series; Mathematical Methods
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      Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
      • February 2022
      • Case

      NFX Capital and Moov Technologies

      By: Scott Duke Kominers and Nicole Tempest Keller
      In July 2019, James Currier, a general partner at San Francisco-based NFX Ventures, was considering a seed stage investment of $1.5 million in Moov Technologies, a B2B marketplace for used industrial equipment. NFX was a venture capital firm focused on seed-stage...  View Details
      Keywords: Venture Capital; Network Effects; Marketplace Matching; Digital Platforms; Market Design; Applications and Software; Semiconductor Industry; Financial Services Industry; San Francisco
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      Kominers, Scott Duke, and Nicole Tempest Keller. "NFX Capital and Moov Technologies." Harvard Business School Case 822-045, February 2022.
      • 2022
      • Working Paper

      How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?

      By: Leemore S. Dafny, Kate Ho and Edward Kong
      Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by...  View Details
      Keywords: Prescription Drugs; Coupons; Impact; Health Care and Treatment; Markets; Price; Spending; Pharmaceutical Industry; United States
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      Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" NBER Working Paper Series, No. 29735, February 2022.
      • January 2022
      • Case

      Hello Heart: The Next Generation of Chronic Disease Management Apps

      By: Ariel D. Stern and Danielle Golan
      Hello Heart, a hypertension management app debated whether to go deep and cover other heart conditions, or to expand its solution to other chronic conditions.  View Details
      Keywords: Health; Health Care and Treatment; Information Technology; Mobile and Wireless Technology; Analysis; Business Startups; Transition; Customer Focus and Relationships; Customer Satisfaction; Decision Making; Demographics; Design; Entrepreneurship; Venture Capital; Technological Innovation; Growth and Development Strategy; Product Launch; Product Design; Product Development; Business Strategy; Competitive Strategy; Competitive Advantage; Customization and Personalization; Business Growth and Maturation; Business Model; Strategy; Applications and Software; Health Industry; Technology Industry; Israel; United States
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      Stern, Ariel D., and Danielle Golan. "Hello Heart: The Next Generation of Chronic Disease Management Apps." Harvard Business School Case 622-061, January 2022.
      • January 2022
      • Case

      Somatus: Value-Based Kidney Care (A)

      By: Ariel D. Stern, Robert S. Huckman and Sarah Mehta
      When Dr. Ikenna Okezie founded Somatus, a value-based kidney care provider, his goal had been nothing short of transforming kidney care delivery in the United States. Rather than relying on dialysis, a costly and intensive treatment for late-stage kidney disease, the...  View Details
      Keywords: Business Startups; Disruption; Entrepreneurship; Health; Health Care and Treatment; Health Disorders; Medical Specialties; Innovation and Invention; Disruptive Innovation; Management; Strategy; Business Strategy; Value; Value Creation; Health Industry; United States; Virginia
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      Stern, Ariel D., Robert S. Huckman, and Sarah Mehta. "Somatus: Value-Based Kidney Care (A)." Harvard Business School Case 622-009, January 2022.
      • Article

      Pattern Detection in the Activation Space for Identifying Synthesized Content

      By: Celia Cintas, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III and Komminist Weldemariam
      Generative Adversarial Networks (GANs) have recently achieved unprecedented success in photo-realistic image synthesis from low-dimensional random noise. The ability to synthesize high-quality content at a large scale brings potential risks as the generated samples may...  View Details
      Keywords: Subset Scanning; Generative Models; Synthetic Content Detection
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      Cintas, Celia, Skyler Speakman, Girmaw Abebe Tadesse, Victor Akinwande, Edward McFowland III, and Komminist Weldemariam. "Pattern Detection in the Activation Space for Identifying Synthesized Content." Pattern Recognition Letters 153 (January 2022): 207–213.
      • Article

      Adaptive Machine Unlearning

      By: Varun Gupta, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Chris Waites
      Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for sequences of deletions, most prior work in the non-convex setting gives valid guarantees...  View Details
      Keywords: Machine Learning; AI and Machine Learning
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      Gupta, Varun, Christopher Jung, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi, and Chris Waites. "Adaptive Machine Unlearning." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • Article

      Counterfactual Explanations Can Be Manipulated

      By: Dylan Slack, Sophie Hilgard, Himabindu Lakkaraju and Sameer Singh
      Counterfactual explanations are useful for both generating recourse and auditing fairness between groups. We seek to understand whether adversaries can manipulate counterfactual explanations in an algorithmic recourse setting: if counterfactual explanations indicate...  View Details
      Keywords: Machine Learning Models; Counterfactual Explanations
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      Slack, Dylan, Sophie Hilgard, Himabindu Lakkaraju, and Sameer Singh. "Counterfactual Explanations Can Be Manipulated." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • Article

      Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

      By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
      As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...  View Details
      Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology
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      Slack, Dylan, Sophie Hilgard, Sameer Singh, and Himabindu Lakkaraju. "Reliable Post hoc Explanations: Modeling Uncertainty in Explainability." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • November 2021
      • Article

      Ratings, Reviews, and the Marketing of New Products

      By: Itay P. Fainmesser, Dominique Olié Lauga and Elie Ofek
      We study how user-generated content (UGC) about new products impacts a firm's advertising and pricing decisions and the effect on profits and market dynamics. We construct a two-period model where consumers value quality and are heterogeneous in their taste for the new...  View Details
      Keywords: Online Reviews; Product Ratings; Social Networks; Word Of Mouth; Pricing; User-generated Content; Advertising; Product Marketing; Price; Consumer Behavior; Product Positioning
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      Fainmesser, Itay P., Dominique Olié Lauga, and Elie Ofek. "Ratings, Reviews, and the Marketing of New Products." Management Science 67, no. 11 (November 2021): 7023–7045.
      • October 2021 (Revised December 2021)
      • Case

      Customer-Centric Design with Artificial Intelligence: Commonwealth Bank

      By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
      As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer...  View Details
      Keywords: Artificial Intelligence; Customer-centricity; Banks and Banking; Customer Focus and Relationships; Technological Innovation; Transformation; Organizational Change and Adaptation; Performance; AI and Machine Learning; Financial Services Industry; Australia
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      Lakhani, Karim R., Yael Grushka-Cockayne, Jin Hyun Paik, and Steven Randazzo. "Customer-Centric Design with Artificial Intelligence: Commonwealth Bank." Harvard Business School Case 622-065, October 2021. (Revised December 2021.)
      • October 2021
      • Article

      Can Self-Regulation Save Digital Platforms?

      By: Michael A. Cusumano, Annabelle Gawer and David B. Yoffie
      This article explores some of the critical challenges facing self-regulation and the regulatory environment for digital platforms. We examine several historical examples of firms and industries that attempted self-regulation before the Internet. All dealt with similar...  View Details
      Keywords: Digital Platforms; Self-regulation; Government Regulation; Market Platforms; Governing Rules, Regulations, and Reforms
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      Cusumano, Michael A., Annabelle Gawer, and David B. Yoffie. "Can Self-Regulation Save Digital Platforms?" Industrial and Corporate Change 30, no. 5 (October 2021): 1259–1285.
      • 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).
      • Article

      Party-State Capitalism in China

      By: Margaret Pearson, Meg Rithmire and Kellee Tsai
      The “state capitalism” model, in which the state retains a dominant role as owner or investor-shareholder amidst the presence of markets and private firms, has received increasing attention, with China cited as the main exemplar. Yet as models evolve, so has China’s...  View Details
      Keywords: Economic Policy; Communism; Capitalism; State Capitalism; Economic Systems; Economics; Policy; China
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      Pearson, Margaret, Meg Rithmire, and Kellee Tsai. "Party-State Capitalism in China." Current History 120, no. 827 (September 2021).
      • Article

      What Evolution Can Teach Us About Innovation

      By: Noubar Afeyan and Gary P. Pisano
      Many people believe that the process for achieving breakthrough innovations is chaotic, random, and unmanageable. But that view is flawed, the authors argue. Breakthroughs can be systematically generated using a process modeled on the principles that drive evolution in...  View Details
      Keywords: Breakthrough Innovation; Variance Generation; Selection Pressure; Emergent Discovery; Innovation and Invention; Value Creation; Innovation Leadership
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      Afeyan, Noubar, and Gary P. Pisano. "What Evolution Can Teach Us About Innovation." Harvard Business Review 99, no. 5 (September–October 2021): 62–72.
      • 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.)
      • 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
      • Working Paper

      Impact Accounting for Product Use: A Framework and Industry-specific Models

      By: George Serafeim and Katie Trinh
      This handbook provides the first systematic attempt to generate a framework and industry-specific models for the measurement of impacts on customers and the environment from use of products and services, in monetary terms, that can then be reflected in financial...  View Details
      Keywords: Impact Measurement; Product Impact; Customer Welfare; Environment; ESG; Product; Customers; Well-being; Environmental Sustainability; Measurement and Metrics; Accounting; Financial Statements; Analysis; Framework
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      Serafeim, George, and Katie Trinh. "Impact Accounting for Product Use: A Framework and Industry-specific Models." Harvard Business School Working Paper, No. 21-141, June 2021.
      • 2021
      • Article

      Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation

      By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
      Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these...  View Details
      Keywords: Optimal Taxation; Income Tax; Social Welfare; Elasticity; Income; Taxation; Policy
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      Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
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