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      • Faculty Publications  (988)

      Behavioral Decision ResearchRemove Behavioral Decision Research →

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      • June 2022
      • Article

      Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation

      By: Jacqueline N. Lane, Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan and Karim R. Lakhani
      The evaluation and selection of novel projects lies at the heart of scientific and technological innovation, and yet there are persistent concerns about bias, such as conservatism. This paper investigates the role that the format of evaluation, specifically information... View Details
      Keywords: Project Evaluation; Innovation; Knowledge Frontier; Information Sharing; Negativity Bias; Projects; Innovation and Invention; Information; Knowledge Sharing
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      Lane, Jacqueline N., Misha Teplitskiy, Gary Gray, Hardeep Ranu, Michael Menietti, Eva C. Guinan, and Karim R. Lakhani. "Conservatism Gets Funded? A Field Experiment on the Role of Negative Information in Novel Project Evaluation." Management Science 68, no. 6 (June 2022): 4478–4495.
      • 2022
      • Article

      How to Choose a Default

      By: John Beshears, Richard T. Mason and Shlomo Benartzi
      We have developed a model for setting a default when a population is choosing among ordered choices—that is, ones listed in ascending or descending order. A company, for instance, might want to set a default contribution rate that will increase employees’ average... View Details
      Keywords: Nudge; Choice Architecture; Behavioral Economics; Behavioral Science; Default; Savings; Decision Choices and Conditions; Behavior; Motivation and Incentives
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      Beshears, John, Richard T. Mason, and Shlomo Benartzi. "How to Choose a Default." Behavioral Science & Policy 8, no. 1 (2022): 1–15.
      • May 2022
      • Case

      Rawbank's Illico Cash: Can 'Fast Money' Overcome Cash Dependency in the DRC?

      By: Lauren Cohen and Grace Headinger
      Thomas de Dreux-Brézé, the Head of Strategy and Project Management at Rawbank Congo in the Democratic Republic of the Congo (DRC), was perplexed as he reviewed annual adoption rates for the bank’s launch of Illico Cash 2.0. As the bank’s mobile money app, Illico Cash... View Details
      Keywords: Fintech; Inflation; Deflation; Rural; Urban; Emerging Market; Mobile Technology; Finance; Money; Inflation and Deflation; Business Growth and Maturation; Decision Choices and Conditions; Demographics; Developing Countries and Economies; Corporate Entrepreneurship; Behavioral Finance; Currency; Banks and Banking; Commercial Banking; Financial Strategy; Rural Scope; Urban Scope; Innovation Strategy; Emerging Markets; Network Effects; Consumer Behavior; Mobile and Wireless Technology; Technology Adoption; Banking Industry; Financial Services Industry; Technology Industry; Congo, Democratic Republic of the
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      Cohen, Lauren, and Grace Headinger. "Rawbank's Illico Cash: Can 'Fast Money' Overcome Cash Dependency in the DRC?" Harvard Business School Case 222-084, May 2022.
      • 2022
      • Article

      Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.

      By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
      As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
      Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
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      Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
      • April 27, 2022
      • Article

      Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality

      By: Jon M. Jachimowicz, Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva and Oliver P. Hauser
      Subjective perceptions of inequality can substantially influence policy attitudes, public health metrics, and societal well-being, but the lack of consensus in the scientific community on how to best operationalize and measure these perceptions may impede progress on... View Details
      Keywords: Equality and Inequality; Perception; Analysis
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      Jachimowicz, Jon M., Shai Davidai, Daniela Goya-Tocchetto, Barnabas Szaszi, Martin Day, Stephanie Tepper, L. Taylor Phillips, M. Usman Mirza, Nailya Ordabayeva, and Oliver P. Hauser. "Inequality in Researchers' Minds: Four Guiding Questions for Studying Subjective Perceptions of Economic Inequality." Journal of Economic Surveys (April 27, 2022).
      • 2022
      • Other Teaching and Training Material

      Organizational Behavior Reading: Managing Differences

      By: Robin Ely and Colleen Ammerman
      This reading provides principles and practices managers can draw upon to leverage differences in social identities - such as gender and race - to create more effective work relationships, teams, and organizations. The Essential Reading's first section draws upon... View Details
      Keywords: Diversity; Groups and Teams; Prejudice and Bias; Identity; Management Practices and Processes
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      Ely, Robin, and Colleen Ammerman. "Organizational Behavior Reading: Managing Differences." Core Curriculum Readings Series. Boston, MA: Harvard Business Publishing 8394, 2022.
      • April 12, 2022
      • Article

      Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States

      By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
      Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
      Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
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      Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
      • 2022
      • Book

      Decision Leadership: Empowering Others to Make Better Choices

      By: Don A. Moore and Max H. Bazerman
      When we think of leaders, we often imagine lone, inspirational figures lauded for their behaviors, attributes, and personal decisions, and leadership books often reinforce that view. However, this approach ignores a leader’s mission to empower others. Applying decades... View Details
      Keywords: Empowerment Leadership; Leadership; Employees; Decision Making; Management Style
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      Moore, Don A., and Max H. Bazerman. Decision Leadership: Empowering Others to Make Better Choices. New Haven: Yale University Press, 2022.
      • April 2022
      • Article

      Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.

      By: Enrico Cantoni and Vincent Pons
      We measure the overall influence of contextual versus individual factors (e.g., voting rules and media as opposed to race and education) on voter behavior, and explore underlying mechanisms. Using a U.S.-wide voter-level panel, 2008–18, we examine voters who relocate... View Details
      Keywords: Voting; Behavior; Geographic Location; Personal Characteristics; Situation or Environment; United States
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      Cantoni, Enrico, and Vincent Pons. "Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S." American Economic Review 112, no. 4 (April 2022): 1226–1272.
      • April 2022
      • Article

      National Customer Orientation: A Framework, Propositions and Agenda for Future Research

      By: Ofer Mintz, Imran S. Currim and Rohit Deshpandé
      Purpose: This paper aims to propose a new country-level construct, national customer orientation, to provide a benchmark for global headquartered managers’ decisions and scholars investigating cross-national research.
      Design/methodology/approach: A conceptual... View Details
      Keywords: International Marketing; Macro-marketing; Marketing; Financial Crisis; Customer Focus and Relationships; Economic Growth; Economic Slowdown and Stagnation
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      Mintz, Ofer, Imran S. Currim, and Rohit Deshpandé. "National Customer Orientation: A Framework, Propositions and Agenda for Future Research." European Journal of Marketing 56, no. 4 (April 2022): 1014–1041.
      • April 2022
      • Article

      Predictable Financial Crises

      By: Robin Greenwood, Samuel G. Hanson, Andrei Shleifer and Jakob Ahm Sørensen
      Using historical data on post-war financial crises around the world, we show that crises are substantially predictable. The combination of rapid credit and asset price growth over the prior three years, whether in the nonfinancial business or the household sector, is... View Details
      Keywords: Financial Crisis; Global Range; Forecasting and Prediction; Mathematical Methods
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      Greenwood, Robin, Samuel G. Hanson, Andrei Shleifer, and Jakob Ahm Sørensen. "Predictable Financial Crises." Journal of Finance 77, no. 2 (April 2022): 863–921.
      • March 2022 (Revised March 2024)
      • Case

      Hometown Foods: Changing Price amid Inflation

      By: Julian De Freitas, Jeremy Yang and Das Narayandas
      During the early part of the 2021 Covid-19 pandemic, Hometown Foods, a large seller of flour-based products, thrived as consumers hoarded baked goods and took up baking to pass the time and find comfort. Then, amid growing shortages in commodities, a vaccine arrived,... View Details
      Keywords: COVID-19 Pandemic; Consumer Behavior; Supply Chain; Inflation and Deflation; Spending; Price Bubble; Price; Volatility; Food and Beverage Industry
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      De Freitas, Julian, Jeremy Yang, and Das Narayandas. "Hometown Foods: Changing Price amid Inflation." Harvard Business School Case 522-087, March 2022. (Revised March 2024.)
      • Article

      Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)

      By: Eva Ascarza and Ayelet Israeli

      An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details

      Keywords: Algorithm Bias; Personalization; Targeting; Generalized Random Forests (GRF); Discrimination; Customization and Personalization; Decision Making; Fairness; Mathematical Methods
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      Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
      • March 2022 (Revised May 2022)
      • Case

      Winning Business at Russell Reynolds (A)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (A)." Harvard Business School Case 422-045, March 2022. (Revised May 2022.)
      • March 2022
      • Supplement

      Winning Business at Russell Reynolds (B)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting–and... View Details
      Keywords: Compensation; Collaboration; Executive Search Firms; Consulting Firms; Compensation and Benefits; Restructuring; Human Resources; Human Capital; Management Practices and Processes; Organizational Culture; Organizational Change and Adaptation; Social and Collaborative Networks; Recruitment; Selection and Staffing; Talent and Talent Management; Consulting Industry; Employment Industry; Asia; Europe; Latin America; Middle East; North and Central America; South America; Oceania
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (B)." Harvard Business School Supplement 422-046, March 2022.
      • March 2022
      • Article

      Sensitivity Analysis of Agent-based Models: A New Protocol

      By: Emanuele Borgonovo, Marco Pangallo, Jan Rivkin, Leonardo Rizzo and Nicolaj Siggelkow
      Agent-based models (ABMs) are increasingly used in the management sciences. Though useful, ABMs are often critiqued: it is hard to discern why they produce the results they do and whether other assumptions would yield similar results. To help researchers address such... View Details
      Keywords: Agent-based Modeling; Sensitivity Analysis; Design Of Experiments; Total Order Sensitivity Indices; Organizations; Behavior; Decision Making; Mathematical Methods
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      Borgonovo, Emanuele, Marco Pangallo, Jan Rivkin, Leonardo Rizzo, and Nicolaj Siggelkow. "Sensitivity Analysis of Agent-based Models: A New Protocol." Computational and Mathematical Organization Theory 28, no. 1 (March 2022): 52–94.
      • February 2022
      • Module Note

      Behavioral Economics and Choice Architecture

      By: John Beshears
      This module note for instructors describes a module on the design of choice architecture solutions to organizational problems. View Details
      Keywords: Behavioral Economics; Choice Architecture; Organizations; Problems and Challenges; Decision Choices and Conditions; Economics
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      Beshears, John. "Behavioral Economics and Choice Architecture." Harvard Business School Module Note 922-029, February 2022.
      • February 2022 (Revised January 2024)
      • Supplement

      Winning Business at Russell Reynolds (C)

      By: Ethan Bernstein and Cara Mazzucco
      In an effort to make compensation drive collaboration, Russell Reynolds Associates’ (RRA) CEO Clarke Murphy sought to re-engineer the bonus system for his executive search consultants in 2016. As his HR analytics guru, Kelly Smith, points out, that risks upsetting—and... View Details
      Keywords: Restructuring; Talent and Talent Management; Compensation and Benefits; Growth and Development Strategy; Organizational Change and Adaptation; Organizational Culture; Performance Evaluation; Motivation and Incentives; Consulting Industry
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      Bernstein, Ethan, and Cara Mazzucco. "Winning Business at Russell Reynolds (C)." Harvard Business School Spreadsheet Supplement 422-703, February 2022. (Revised January 2024.)
      • 2022
      • Working Paper

      The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

      By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju
      As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details
      Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods
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      Krishna, Satyapriya, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu, and Himabindu Lakkaraju. "The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective." Working Paper, 2022.
      • February 2022
      • Article

      OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online

      By: Nancy Rothbard, Lakshmi Ramarajan, Ariane Ollier-Malaterre and Serenity Lee
      We propose and test a relational boundary-blurring framework, examining how employees’ evaluations of colleagues’ characteristics drive their decisions to connect with colleagues as friends online. We use a multi-method approach across four studies to investigate how... View Details
      Keywords: Self-disclosure; Relationships; Employees; Internet and the Web; Boundaries
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      Rothbard, Nancy, Lakshmi Ramarajan, Ariane Ollier-Malaterre, and Serenity Lee. "OMG! My Boss Just Friended Me: How Evaluations of Colleagues' Disclosure, Gender, and Rank Shape Personal/Professional Boundary Blurring Online." Academy of Management Journal 65, no. 1 (February 2022): 35–65.
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