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      • 2021
      • Working Paper

      T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military

      By: Hise O. Gibson
      People are an organization’s most important resource. Managers who are collaborative and innovative ensure that organizations remain competitive. This type of manager has been referred to as a T-shaped manager. “T” given that the vertical portion represents the depth... View Details
      Keywords: T-shaped Management; Leader Development; Talent Management; Leadership Style; Leadership Development; Management Skills; Talent and Talent Management
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      Gibson, Hise O. "T-Shaped Managers—One Size Does Not Fit All: Exploratory Study from the Military." Harvard Business School Working Paper, No. 22-003, July 2021.
      • 2021
      • Chapter

      Towards a Unified Framework for Fair and Stable Graph Representation Learning

      By: Chirag Agarwal, Himabindu Lakkaraju and Marinka Zitnik
      As the representations output by Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes important to ensure that these representations are fair and stable. In this work, we establish a key connection between counterfactual... View Details
      Keywords: Graph Neural Networks; AI and Machine Learning; Prejudice and Bias
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      Agarwal, Chirag, Himabindu Lakkaraju, and Marinka Zitnik. "Towards a Unified Framework for Fair and Stable Graph Representation Learning." In Proceedings of the 37th Conference on Uncertainty in Artificial Intelligence, edited by Cassio de Campos and Marloes H. Maathuis, 2114–2124. AUAI Press, 2021.
      • June 2021
      • Article

      Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions

      By: Leor Zmigrod and Amit Goldenberg
      Who is most likely to join and engage in extreme political action? While traditional theories have focused on situational factors or group identity attributes, an emerging science illustrates that tendencies for extreme political action may also be rooted in... View Details
      Keywords: Extreme Political Action; Ideology; Political Psychology; Cognition-emotion Interactions; Cognition and Thinking; Emotions; Personal Characteristics
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      Zmigrod, Leor, and Amit Goldenberg. "Cognition and Emotion in Extreme Political Action: Individual Differences and Dynamic Interactions." Current Directions in Psychological Science 30, no. 3 (June 2021): 218–227.
      • May 24, 2021
      • Article

      What Makes an Online Marketplace Disruptive?

      By: Clifford Maxwell and Scott Duke Kominers
      Platforms like Airbnb, eBay, and Angie’s List have changed how markets work. But while many are innovative and make life easier for consumers, which are truly disruptive? Hewing to Clay Christensen’s theory of disruption, platforms—which operate as online... View Details
      Keywords: Digital Platforms; Disruption; Framework
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      Maxwell, Clifford, and Scott Duke Kominers. "What Makes an Online Marketplace Disruptive?" Harvard Business Review Digital Articles (May 24, 2021).
      • May 2021
      • Article

      Stability, Strategy-Proofness, and Cumulative Offer Mechanisms

      By: John William Hatfield, Scott Duke Kominers and Alexander Westkamp
      We consider the setting of many-to-one matching with contracts, where firms may demand multiple contracts, but each worker desires at most one contract. We introduce three novel conditions—observable substitutability, observable size monotonicity, and... View Details
      Keywords: Matching With Contracts; Stability; Strategy-proofness; Substitutability; Size Monotonicity; Cumulative Offer Mechanism; Marketplace Matching; Balance and Stability
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      Hatfield, John William, Scott Duke Kominers, and Alexander Westkamp. "Stability, Strategy-Proofness, and Cumulative Offer Mechanisms." Review of Economic Studies 88, no. 3 (May 2021): 1457–1502.
      • May–June 2021
      • Article

      Why Start-ups Fail

      By: Thomas R. Eisenmann
      If you’re launching a business, the odds are against you: Two-thirds of start-ups never show a positive return. Unnerved by that statistic, a professor of entrepreneurship at Harvard Business School set out to discover why. Based on interviews and surveys with hundreds... View Details
      Keywords: Entrepreneurship; Business Startups; Problems and Challenges; Failure
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      Eisenmann, Thomas R. "Why Start-ups Fail." Harvard Business Review 99, no. 3 (May–June 2021): 76–85.
      • April 2021 (Revised June 2021)
      • Case

      IBM: Design Thinking

      By: Srikant M. Datar, Amram Migdal and Paul Hamilton
      This case describes the 2012-2020 effort at IBM to implement design thinking throughout the company and hire thousands of designers to serve on every product team alongside technical engineers and developers and product managers. IBM’s design transformation is told... View Details
      Keywords: Business Ventures; Business Divisions; Business Units; Business Organization; Change; Change Management; Transformation; Competency and Skills; Talent and Talent Management; Design; Human Resources; Recruitment; Selection and Staffing; Innovation and Invention; Collaborative Innovation and Invention; Innovation and Management; Innovation Strategy; Jobs and Positions; Job Design and Levels; Leading Change; Management; Business or Company Management; Goals and Objectives; Management Practices and Processes; Operations; Product; Product Design; Product Development; Organizations; Business Processes; Organizational Change and Adaptation; Organizational Design; Organizational Structure; Strategy; Adaptation; Adoption; Technological Innovation; Information Infrastructure; Information Technology; Technology Industry; Information Technology Industry; United States
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      Datar, Srikant M., Amram Migdal, and Paul Hamilton. "IBM: Design Thinking." Harvard Business School Case 121-007, April 2021. (Revised June 2021.)
      • 2021
      • Working Paper

      Time Dependency, Data Flow, and Competitive Advantage

      By: Ehsan Valavi, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu and Karim R. Lakhani
      Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
      Keywords: Economics Of AI; Value Of Data; Perishability; Time Dependency; Flow Of Data; Data Strategy; Analytics and Data Science; Value; Strategy; Competitive Advantage
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      Valavi, Ehsan, Joel Hestness, Marco Iansiti, Newsha Ardalani, Feng Zhu, and Karim R. Lakhani. "Time Dependency, Data Flow, and Competitive Advantage." Harvard Business School Working Paper, No. 21-099, March 2021.
      • 2021
      • Working Paper

      Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer

      By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
      We outline a framework in which accounting “valuation anchors" could be connected to expected stock returns. Under two general conditions, expected log returns is a log-linear function of a valuation (market value-to-accounting) multiple and the expected growth in the... View Details
      Keywords: Expected Returns; Present Value; Investment Return; Accounting; Valuation; Information; Framework
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      Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Connecting Expected Stock Returns to Accounting Valuation Multiples: A Primer." Harvard Business School Working Paper, No. 21-081, January 2021.
      • June 2021
      • Article

      From Predictions to Prescriptions: A Data-driven Response to COVID-19

      By: Dimitris Bertsimas, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg and Cynthia Zeng
      The COVID-19 pandemic has created unprecedented challenges worldwide. Strained healthcare providers make difficult decisions on patient triage, treatment and care management on a daily basis. Policy makers have imposed social distancing measures to slow the disease, at... View Details
      Keywords: COVID-19; Health Pandemics; AI and Machine Learning; Forecasting and Prediction; Analytics and Data Science
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      Bertsimas, Dimitris, Léonard Boussioux, Ryan Cory-Wright, Arthur Delarue, Vassilis Digalakis Jr, Alexander Jacquillat, Driss Lahlou Kitane, Galit Lukin, Michael Lingzhi Li, Luca Mingardi, Omid Nohadani, Agni Orfanoudaki, Theodore Papalexopoulos, Ivan Paskov, Jean Pauphilet, Omar Skali Lami, Bartolomeo Stellato, Hamza Tazi Bouardi, Kimberly Villalobos Carballo, Holly Wiberg, and Cynthia Zeng. "From Predictions to Prescriptions: A Data-driven Response to COVID-19." Health Care Management Science 24, no. 2 (June 2021): 253–272.
      • 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

      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).
      • 2020
      • Working Paper

      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: Capitalism; State Capitalism; Economic Systems; China
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      Pearson, Margaret, Meg Rithmire, and Kellee Tsai. "Party-State Capitalism in China." Harvard Business School Working Paper, No. 21-065, November 2020.
      • November 2020 (Revised February 2022)
      • Case

      CommonSpirit Health: Integrating a Merger of Equals

      By: Robert S. Huckman, Hise Gibson and Nicole Gilmore
      Soon after closing the 2019 merger of Catholic Health Initiatives (CHI) and Dignity Health to create CommonSpirit Health, Lloyd Dean and Kevin Lofton-–jointly appointed to the role of CEO—must make several operational and strategic decisions related to the integration... View Details
      Keywords: Health Care Delivery; Hospital; Merger; Merger Integration; Hospital Mergers; Health Information Technology; CEOs; Health Care and Treatment; Mergers and Acquisitions; Integration; Leadership; Customer Value and Value Chain; Decision Choices and Conditions; Governance; Information Technology; Health Industry; United States
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      Huckman, Robert S., Hise Gibson, and Nicole Gilmore. "CommonSpirit Health: Integrating a Merger of Equals." Harvard Business School Case 621-034, November 2020. (Revised February 2022.)
      • 2020
      • Chapter

      The Group Malleability Intervention: Addressing Intergroup Conflicts by Changing Perceptions of Outgroup Malleability

      By: Amit Goldenberg, J. J. Gross and Eran Halperin
      Precise shifts in the ways people make sense of themselves, others, and social situations can help people flourish. This compelling handbook synthesizes the growing body of research on wise interventions—brief, nonclinical strategies that are "wise" to the impact of... View Details
      Keywords: Social Psychology; Personality
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      Goldenberg, Amit, J. J. Gross, and Eran Halperin. "The Group Malleability Intervention: Addressing Intergroup Conflicts by Changing Perceptions of Outgroup Malleability." Chap. 15 in Handbook of Wise Interventions: How Social Psychology Can Help People Change, edited by Gregory M. Walton and Alia J. Crum. New York, NY: Guilford Press, 2020.
      • October 6, 2020
      • Article

      Test Your Board's Readiness for the Post-COVID Era

      By: Lynn S. Paine
      Research suggests that well-run boards take the process of self-evaluation quite seriously, often using a combination of director surveys and personal interviews to assess the functioning and effectiveness of the board, its committees, and its individual members. As... View Details
      Keywords: Health Pandemics; Governing and Advisory Boards; Performance Evaluation
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      Paine, Lynn S. "Test Your Board's Readiness for the Post-COVID Era." Harvard Business Review Digital Articles (October 6, 2020).
      • 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.
      • 2020
      • Working Paper

      Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships

      By: Carliss Y. Baldwin
      Organizations are formed in a free economy because an individual or group perceives value in carrying out a technical recipe that is beyond the capacity of a single person. Technology specifies what must be done, what resources must be assembled, what actions taken in... View Details
      Keywords: Modularity; Information Technology; Organizations; Value Creation
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 6 The Value Structure of Technologies, Part 1: Mapping Functional Relationships." Harvard Business School Working Paper, No. 21-039, September 2020.
      • 2020
      • Working Paper

      Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers

      By: Carliss Y. Baldwin
      Functional analysis as set forth in the last chapter decomposes a technical system into functional components that do things to advance the system’s purpose and the goals of its designers. Functional analysis in turn can be used to construct value structure maps... View Details
      Keywords: Modularity; Value Structure Mapping; Value Capture; Information Technology; Organizations; Strategy; Value Creation
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      Baldwin, Carliss Y. "Design Rules, Volume 2: How Technology Shapes Organizations: Chapter 7 The Value Structure of Technologies, Part 2: Strategy without Numbers." Harvard Business School Working Paper, No. 21-040, September 2020.
      • 8 Sep 2020
      • Interview

      The U.S. Health Care System: From Dysfunction to Functioning

      By: Regina E. Herzlinger and Edward Shin
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      Herzlinger, Regina E., and Edward Shin. "The U.S. Health Care System: From Dysfunction to Functioning." Q-Reviews (podcast), Quality Reviews, Inc., September 8, 2020.
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