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Publications

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      • 2021
      • Working Paper

      Diversity and Performance in Entrepreneurial Teams

      By: Sophie Calder-Wang, Paul A. Gompers and Kevin Huang
      We study the role of diversity and performance in the entrepreneurial teams. We exploit a unique dataset of MBA students who participated in a required course to propose and start a real micro-business that allows us to examine horizontal diversity (i.e., within the... View Details
      Keywords: Entrepreneurship; Groups and Teams; Diversity; Performance
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      Calder-Wang, Sophie, Paul A. Gompers, and Kevin Huang. "Diversity and Performance in Entrepreneurial Teams." NBER Working Paper Series, No. 28684, April 2021.
      • 2021
      • Article

      Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring

      By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
      Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
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      Sühr, Tom, Sophie Hilgard, and Himabindu Lakkaraju. "Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (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).
      • March 2021
      • Supplement

      Artea (A), (B), (C), and (D): Designing Targeting Strategies

      By: Eva Ascarza and Ayelet Israeli
      Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
      Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
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      Ascarza, Eva, and Ayelet Israeli. "Artea (A), (B), (C), and (D): Designing Targeting Strategies." Harvard Business School PowerPoint Supplement 521-719, March 2021.
      • 2021
      • Working Paper

      Population Interference in Panel Experiments

      By: Iavor I Bojinov, Kevin Wu Han and Guillaume Basse
      The phenomenon of population interference, where a treatment assigned to one experimental unit affects another experimental unit's outcome, has received considerable attention in standard randomized experiments. The complications produced by population interference in... View Details
      Keywords: Finite Population; Potential Outcomes; Dynamic Causal Effects; Mathematical Methods
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      Bojinov, Iavor I., Kevin Wu Han, and Guillaume Basse. "Population Interference in Panel Experiments." Harvard Business School Working Paper, No. 21-100, March 2021.
      • 2021
      • Working Paper

      How Much Should We Trust Staggered Difference-In-Differences Estimates?

      By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
      Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the... View Details
      Keywords: Difference In Differences; Staggered Difference-in-differences Designs; Generalized Difference-in-differences; Dynamic Treatment Effects; Mathematical Methods
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      Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
      • March 2021
      • Article

      Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies

      By: Willy C. Shih
      Many new technologies are complex and embody high levels of technical sophistication, and applying them should require significant knowledge and experience. Yet, the rapid adoption and incorporation of these technologies into other innovations seems inconsistent with... View Details
      Keywords: Abstraction; Technological And Scientific Innovation; Technological Progress; Diffusion Of Innovation; Technology Adoption; Technological Innovation; Complexity; Information Technology; Strategy
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      Shih, Willy C. "Increasing the Level of Abstraction as a Strategy for Accelerating the Adoption of Complex Technologies." Strategy Science 6, no. 1 (March 2021): 54–61. (ISSN 2333-2050 (print), ISSN 2333-2077 (online))
      • March 2021
      • Article

      The Crowd Emotion Amplification Effect

      By: Amit Goldenberg, Erika Weisz, Timothy D. Sweeney, Mina Cikara and James Gross
      How do people go about reading a room or taking the temperature of a crowd? When people catch a brief glimpse of an array of faces, they can only focus their attention on some of the faces. We propose that perceivers preferentially attend to faces exhibiting strong... View Details
      Keywords: Crowds; Social Cognition; Intergroup Dynamics; Emotions; Perception; Judgments; Analysis
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      Goldenberg, Amit, Erika Weisz, Timothy D. Sweeney, Mina Cikara, and James Gross. "The Crowd Emotion Amplification Effect." Psychological Science 32, no. 3 (March 2021): 437–450.
      • Article

      Reimagining the Balanced Scorecard for the ESG Era

      By: Robert S. Kaplan and David McMillan
      Companies are increasingly aware that their customers and society in general expect businesses to adopt and work towards social and environmental objectives as well as the traditional financial ones. This involves not only re-evaluating firms’ models but re-imagining... View Details
      Keywords: ESG (Environmental, Social, Governance) Performance; Business Ecosystems; Balanced Scorecard; Adaptation; Business Model; Business and Stakeholder Relations
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      Kaplan, Robert S., and David McMillan. "Reimagining the Balanced Scorecard for the ESG Era." Harvard Business Review Digital Articles (February 3, 2021).
      • January 2021
      • Supplement

      Aster DM Healthcare: Budget Exercise

      By: V.G. Narayanan and Amy Klopfenstein
      In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
      Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Finance; Borrowing and Debt; Financial Institutions; Banks and Banking; Financial Condition; Financial Liquidity; Accounting; Budgets and Budgeting; Management; Crisis Management; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
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      Narayanan, V.G., and Amy Klopfenstein. "Aster DM Healthcare: Budget Exercise." Harvard Business School Spreadsheet Supplement 121-025, January 2021.
      • January 2021
      • Case

      Aster DM Healthcare: Budgeting for a Crisis

      By: V.G. Narayanan and Amy Klopfenstein
      In April 2020, Alisha Moopen, Deputy Managing Director of Aster DM Healthcare, a network of clinics, hospitals, and pharmacies in the Middle East and India, must create her company’s budget for the 2021 fiscal year in light of the onset of Covid-19. The pandemic had... View Details
      Keywords: Decision Making; Decisions; Forecasting and Prediction; Judgments; Decision Choices and Conditions; Cost vs Benefits; Budgets and Budgeting; Health Pandemics; Health Industry; Asia; India; United Arab Emirates; Dubai
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      Narayanan, V.G., and Amy Klopfenstein. "Aster DM Healthcare: Budgeting for a Crisis." Harvard Business School Case 121-001, January 2021.
      • January 2021 (Revised March 2021)
      • Case

      Juno (A): Leveraging Student Power

      By: Joshua Schwartzstein, Kathleen L. McGinn and Amy Klopfenstein
      In March 2020, Chris Abkarians and Nikhil Agarwal were in the midst of preparing the annual auction for their student loan assistance startup, Juno. Both current MBA students at Harvard Business School, the duo founded Juno in 2018 to leverage student bargaining power... View Details
      Keywords: Decision Making; Decision Choices and Conditions; Decisions; Cost vs Benefits; Education; Higher Education; Finance; Borrowing and Debt; Strategy; Adaptation; Alignment; Negotiation; Agreements and Arrangements; Negotiation Participants; Negotiation Process; Negotiation Tactics; Negotiation Deal; Negotiation Offer; Negotiation Types; Financial Services Industry; Education Industry; North and Central America; United States; Massachusetts; Boston
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      Schwartzstein, Joshua, Kathleen L. McGinn, and Amy Klopfenstein. "Juno (A): Leveraging Student Power." Harvard Business School Case 921-032, January 2021. (Revised March 2021.)
      • 2021
      • Working Paper

      Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences

      By: Valerio Capraro, Jillian J. Jordan and Ben Tappin
      A growing body of work suggests that people are sensitive to moral framing in economic games involving prosociality, suggesting that people hold moral preferences for doing the “right thing”. What gives rise to these preferences? Here, we evaluate the explanatory power... View Details
      Keywords: Moral Preferences; Moral Frames; Observability; Trustworthiness; Trust Game; Trade-off Game; Moral Sensibility; Reputation; Behavior; Trust
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      Capraro, Valerio, Jillian J. Jordan, and Ben Tappin. "Does Observability Amplify Sensitivity to Moral Frames? Evaluating a Reputation-Based Account of Moral Preferences." Working Paper, January 2021.
      • January 2021 (Revised March 2022)
      • Teaching Note

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

      By: Ashley V. Whillans
      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. "The What Works Centre: Using Behavioral Science to Improve Social Worker Well-being (A) and (B)." Harvard Business School Teaching Note 921-021, January 2021. (Revised March 2022.)
      • January 11, 2021
      • Article

      The Breach of the U.S. Capitol Was a Breach of Trust

      By: Sandra J. Sucher and Shalene Gupta
      This article frames the January 6th attack of the U.S. Capitol as a betrayal of our trust in government. Using Sucher and Gupta’s trust framework, the article explains how the attacks were a failure of the four elements of trust: competence, motives, fair means, and... View Details
      Keywords: Violence; Trust; Government and Politics
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      Sucher, Sandra J., and Shalene Gupta. "The Breach of the U.S. Capitol Was a Breach of Trust." Harvard Business Review Digital Articles (January 11, 2021).
      • January 2021
      • Article

      A Model of Relative Thinking

      By: Benjamin Bushong, Matthew Rabin and Joshua Schwartzstein
      Fixed differences loom smaller when compared to large differences. We propose a model of relative thinking where a person weighs a given change along a consumption dimension by less when it is compared to bigger changes along that dimension. In deterministic settings,... View Details
      Keywords: Relative Thinking; Econometric Models; Behavior; Cognition and Thinking
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      Bushong, Benjamin, Matthew Rabin, and Joshua Schwartzstein. "A Model of Relative Thinking." Review of Economic Studies 88, no. 1 (January 2021): 162–191.
      • January–February 2021
      • Article

      Between Home and Work: Commuting as an Opportunity for Role Transitions

      By: Jon M. Jachimowicz, Julia Lee Cunningham, Bradley Staats, Francesca Gino and Jochen I. Menges
      Across the globe, every workday people commute an average of 38 minutes each way, yet surprisingly little research has examined the implications of this daily routine for work-related outcomes. Integrating theories of boundary work, self-control, and work-family... View Details
      Keywords: Commuting; Boundary Work; Self-control; Work-family Conflict; Prospection; Transition
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      Jachimowicz, Jon M., Julia Lee Cunningham, Bradley Staats, Francesca Gino, and Jochen I. Menges. "Between Home and Work: Commuting as an Opportunity for Role Transitions." Organization Science 32, no. 1 (January–February 2021): 64–85.
      • 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.
      • 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).
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