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      • 2021
      • Chapter

      International Business History and the Strategy of Multinational Enterprises: How History Matters

      By: Geoffrey Jones and Teresa da Silva Lopes
      This chapter provides an overview of the evolution of international business over the long-run as well as the strategies of MNEs. It highlights how strategies became more complex over time with MNEs moving from being coordinators of resources and managers of... View Details
      Keywords: Multinational; International Business; Internalization; Globalization; Theory; Multinational Firms and Management; Business History; Africa; Asia; Europe; Latin America; Middle East; North and Central America
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      Jones, Geoffrey, and Teresa da Silva Lopes. "International Business History and the Strategy of Multinational Enterprises: How History Matters." Chap. 2 in The Oxford Handbook of International Business Strategy, edited by Kamel Mellahi, Klaus E. Meyer, Rajneesh Narula, Irina Surdu, and Alain Verbeke. Oxford, United Kingdom: Oxford University Press, 2021.
      • Winter 2021
      • Editorial

      Introduction

      By: Michael A. Wheeler
      This issue of Negotiation Journal is dedicated to the theme of artificial intelligence, technology, and negotiation. It arose from a Program on Negotiation (PON) working conference on that important topic held virtually on May 17–18. The conference was not the... View Details
      Keywords: Artificial Intelligence; Information Technology; Negotiation; AI and Machine Learning
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      Wheeler, Michael A. "Introduction." Special Issue on Artificial Intelligence, Technology, and Negotiation. Negotiation Journal 37, no. 1 (Winter 2021): 5–12.
      • 2021
      • Working Paper

      No-fault Default, Chapter 11 Bankruptcy, and Financial Institutions

      By: Robert C. Merton and Richard T. Thakor
      This paper analyzes the costs and benefits of a no-fault-default debt structure as an alternative to the typical bankruptcy process. We show that the deadweight costs of bankruptcy can be avoided or substantially reduced through no-fault-default debt, which permits a... View Details
      Keywords: No-fault Default; Chapter 11; Insolvency and Bankruptcy; Borrowing and Debt; Governing Rules, Regulations, and Reforms; Financial Institutions; Contracts
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      Merton, Robert C., and Richard T. Thakor. "No-fault Default, Chapter 11 Bankruptcy, and Financial Institutions." NBER Working Paper Series, No. 28341, January 2021.
      • Article

      Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development

      By: Michael Beer
      A normative and actionable theory of planned organizational change and development is proposed based on fifty years of engagement by the author as a scholar-consultant. Five principles are central features of the theory and practice proposed: 1) Organizations are... View Details
      Keywords: Consultant; Process; Systems; Silence; Organizational Change and Adaptation; Leadership; Learning; Management Teams
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      Beer, Michael. "Reflections: Toward a Normative and Actionable Theory of Planned Organizational Change and Development." Journal of Change Management 21, no. 1 (2021).
      • Article

      Towards Robust and Reliable Algorithmic Recourse

      By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
      As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan approvals), there has been growing interest in post-hoc techniques which provide recourse to affected individuals. These techniques generate recourses under the assumption... View Details
      Keywords: Machine Learning Models; Algorithmic Recourse; Decision Making; Forecasting and Prediction
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      Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
      • December 2020 (Revised April 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
      • December 2020
      • Case

      VIA Science (A)

      By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (A)." Harvard Business School Case 721-367, December 2020.
      • December 2020
      • Supplement

      VIA Science (B)

      By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman
      Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details
      Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan
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      Alcácer, Juan, Rembrand Koning, Annelena Lobb, and Kerry Herman. "VIA Science (B)." Harvard Business School Supplement 721-368, December 2020.
      • December 2020 (Revised December 2022)
      • Case

      The Dance of Dharma: On the Difficulty of Being Good

      By: Arthur I. Segel and Tyler M. Richard
      When deciding how to be good and act well, we often seek outside help. Many of our oldest and most frequently consulted sources of ethical guidance are our religious traditions. Just as one might consult a thoughtful friend, countless people seek direction from their... View Details
      Keywords: Hinduism; Ethics; Religion; Values and Beliefs; Decision Making
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      Segel, Arthur I., and Tyler M. Richard. "The Dance of Dharma: On the Difficulty of Being Good." Harvard Business School Case 821-058, December 2020. (Revised December 2022.)
      • Article

      Incorporating Interpretable Output Constraints in Bayesian Neural Networks

      By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez
      Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details
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      Yang, Wanqian, Lars Lorch, Moritz Graule, Himabindu Lakkaraju, and Finale Doshi-Velez. "Incorporating Interpretable Output Constraints in Bayesian Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
      • Article

      Making a Difference: Developing Actionable Knowledge for Practice and Theory

      By: Michael Beer
      There is a widely acknowledged gap between academic research and practice. While the field of organizational studies and development has had an impact on management practice in some organizations, it has had only a modest impact on widely accepted management practice... View Details
      Keywords: Actionable Knowledge; Actionable Practice; Normal Science; Scholar-consultant; Management Practices and Processes; Theory; Innovation Leadership; Organizations; Performance Effectiveness
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      Beer, Michael. "Making a Difference: Developing Actionable Knowledge for Practice and Theory." Journal of Applied Behavioral Science 56, no. 4 (December 2020): 506–520.
      • 2020
      • Working Paper

      Prioritarianism and Optimal Taxation

      By: Matti Tuomala and Matthew C. Weinzierl
      Prioritarianism has been at the center of the formal approach to optimal tax theory since its modern starting point in Mirrlees (1971), but most theorists’ use of it is motivated by tractability rather than explicit normative reasoning. We characterize analytically and... View Details
      Keywords: Prioritarianism; Optimal Taxation; Utilitarianism; Redistribution; Inverse-optimum; Taxation; Theory
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      Tuomala, Matti, and Matthew C. Weinzierl. "Prioritarianism and Optimal Taxation." Harvard Business School Working Paper, December 2020.
      • Article

      Robust and Stable Black Box Explanations

      By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
      As machine learning black boxes are increasingly being deployed in real-world applications, there has been a growing interest in developing post hoc explanations that summarize the behaviors of these black boxes. However, existing algorithms for generating such... View Details
      Keywords: Machine Learning; Black Box Models; Framework
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      Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
      • Article

      Soul and Machine (Learning)

      By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan
      Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details
      Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software
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      Proserpio, Davide, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu, and Hema Yoganarasimhan. "Soul and Machine (Learning)." Marketing Letters 31, no. 4 (December 2020): 393–404.
      • 2023
      • Working Paper

      The Market for Healthcare in Low Income Countries

      By: Abhijit Banerjee, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam and Aakash Mohpal
      Patient trust is an important driver of the demand for healthcare. But it may also impact supply: doctors who realize that patients may not trust them may adjust their behavior in response. We assemble a large dataset that assesses clinical performance using... View Details
      Keywords: Health Care and Treatment; Quality; Developing Countries and Economies; Trust
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      Banerjee, Abhijit, Abhijit Chowdhury, Jishnu Das, Jeffrey Hammer, Reshmaan Hussam, and Aakash Mohpal. "The Market for Healthcare in Low Income Countries." Working Paper, July 2023.
      • December 2020
      • Article

      The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices

      By: Scott Duke Kominers and Alexander Teytelboym
      Designing marketplaces in complex settings requires both novel economic theory and real-world engineering, often drawing upon ideas from fields such as computer science and operations research. In Discovering Prices, Milgrom (2017) explains the theory and design... View Details
      Keywords: Pricing; Design; Auctions; Market Design; Complexity
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      Kominers, Scott Duke, and Alexander Teytelboym. "The Parable of the Auctioneer: Complexity in Paul R. Milgrom's Discovering Prices." Journal of Economic Literature 58, no. 4 (December 2020): 1180–1196.
      • 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 April 2021)
      • Case

      Roll-Ups and Surprise Billing: Collisions at the Intersection of Private Equity and Patient Care

      By: Trevor Fetter and Kira Seiger
      This case describes the increasing investment by private equity (PE) firms in patient care and other healthcare services. The case focuses on investments in physician staffing firms and roll-up strategy investments in physician practice management (PPM). Included in... View Details
      Keywords: Business Ventures; Acquisition; Mergers and Acquisitions; Business Model; Change; Disruption; Fluctuation; Trends; Customers; Customer Value and Value Chain; Ethics; Fairness; Finance; Equity; Insurance; Private Equity; Geography; Geographic Scope; Health; Health Care and Treatment; Markets; Demand and Consumers; Supply and Industry; Industry Structures; Ownership; Ownership Type; Private Ownership; Relationships; Agency Theory; Business and Community Relations; Business and Shareholder Relations; Business and Stakeholder Relations; Networks; Strategy; Competition; Consolidation; Expansion; Integration; Horizontal Integration; Vertical Integration; Value; Value Creation; Health Industry; Insurance Industry; United States
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      Fetter, Trevor, and Kira Seiger. "Roll-Ups and Surprise Billing: Collisions at the Intersection of Private Equity and Patient Care." Harvard Business School Case 321-049, November 2020. (Revised April 2021.)
      • 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.
      • October 2020
      • Article

      Collusion in Markets with Syndication

      By: John William Hatfield, Scott Duke Kominers, Richard Lowery and Jordan M. Barry
      Markets for IPOs and debt issuances are syndicated, in the sense that a bidder who wins a contract may invite losing bidders to join a syndicate that together fulfills the contract. We show that in markets with syndication, standard intuitions from industrial... View Details
      Keywords: Collusion; Antitrust; IPO Underwriting; Syndication; "Repeated Games"; Markets; Game Theory
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      Hatfield, John William, Scott Duke Kominers, Richard Lowery, and Jordan M. Barry. "Collusion in Markets with Syndication." Journal of Political Economy 128, no. 10 (October 2020).
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