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- All HBS Web
(5,241)
- Faculty Publications (988)
- 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
- 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
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
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.