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- All HBS Web
(2,918)
- Faculty Publications (967)
- February 2023
- Article
The Effect of Systems of Management Controls on Honesty in Managerial Reporting
By: Aishwarrya Deore, Susanna Gallani and Ranjani Krishnan
While budgetary controls with capital rationing are optimal in theory and widespread in practice, empirical research documents their association with higher employee dishonesty compared to budgetary controls without rationing. In this study, we examine whether... View Details
Keywords: Directing Controls; Misreporting; Mission Statements; Participative Budgeting; Stewardship Theory; Systems Of Management Controls; Capital; Budgets and Budgeting; Mission and Purpose
Deore, Aishwarrya, Susanna Gallani, and Ranjani Krishnan. "The Effect of Systems of Management Controls on Honesty in Managerial Reporting." Art. 101401. Accounting, Organizations and Society 105 (February 2023).
- January–February 2023
- Article
Data-Driven COVID-19 Vaccine Development for Janssen
By: Dimitris Bertsimas, Michael Lingzhi Li, Xinggang Liu, Jennings Xu and Najat Khan
The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first... View Details
Keywords: COVID-19; Health Testing and Trials; Forecasting and Prediction; AI and Machine Learning; Research; Pharmaceutical Industry
Bertsimas, Dimitris, Michael Lingzhi Li, Xinggang Liu, Jennings Xu, and Najat Khan. "Data-Driven COVID-19 Vaccine Development for Janssen." INFORMS Journal on Applied Analytics 53, no. 1 (January–February 2023): 70–84.
- January–February 2023
- Article
External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures
By: Alicia DeSantola, Ranjay Gulati and Pavel Zhelyazkov
We explore how the initial market positioning of entrepreneurial ventures shapes how they professionalize over time, focusing specifically on the development of functional roles. In contrast to existing literature, which has presumed a uniform march toward... View Details
Keywords: Market Positioning; Professionalization; Scaling; Entrepreneurship; Strategy; Business Startups; Growth and Development; Organizational Structure
DeSantola, Alicia, Ranjay Gulati, and Pavel Zhelyazkov. "External Interfaces and Internal Processes: Market Positioning and Divergent Professionalization Paths in Young Ventures." Organization Science 34, no. 1 (January–February 2023): 1–23.
- 2023
- Working Paper
Job Design and Workers’ Wellbeing: Evidence from a Hospital Setting
By: Susanna Gallani and Jacob Riegler
This study examines the relationship between job design imbalance and workers’ well-being. We build on Simons (2005) framework for the design of high-performing jobs and develop a survey instrument to capture workers’ perceptions of their job design and work... View Details
- January 2023
- Article
Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights
By: Alvaro Calderon, Vasiliki Fouka and Marco Tabellini
Between 1940 and 1970, more than 4 million African Americans moved from the South to the North of the United States, during the Second Great Migration. This same period witnessed the struggle and eventual success of the civil rights movement in ending institutionalized... View Details
Keywords: Civil Rights; Great Migration; History; Race; Rights; Prejudice and Bias; Government Legislation
Calderon, Alvaro, Vasiliki Fouka, and Marco Tabellini. "Racial Diversity and Racial Policy Preferences: The Great Migration and Civil Rights." Review of Economic Studies 90, no. 1 (January 2023): 165–200. (Available also from VOX, Broadstreet, and VOX EU.)
- December 2022
- Case
To Feed the Planet: Juan Luciano at ADM
By: Joshua D. Margolis, David E. Bell, Damien McLoughlin, Stacy Straaberg and James Weber
In December 2022, Juan Luciano, Chairman and CEO of agribusiness and nutrition giant ADM, considered the next phase of the historic company’s future. Beginning in 2011 when he joined as COO and moving into his tenure as CEO in 2015, Luciano led a transformation of ADM... View Details
Keywords: Agriculture; Leadership; Agribusiness; Acquisition; Business Units; Customer Focus and Relationships; Customer Value and Value Chain; Forecasting and Prediction; Capital; Cash; Cost of Capital; Cost Management; Profit; Food; Global Range; Innovation Strategy; Leadership Development; Leadership Style; Leading Change; Growth and Development Strategy; Risk Management; Organizational Culture; Organizational Structure; Strategic Planning; Risk and Uncertainty; Adaptation; Business Strategy; Corporate Strategy; Vertical Integration; Value Creation; Transformation; Agriculture and Agribusiness Industry; Energy Industry; United States; Chicago
Margolis, Joshua D., David E. Bell, Damien McLoughlin, Stacy Straaberg, and James Weber. "To Feed the Planet: Juan Luciano at ADM." Harvard Business School Case 423-060, December 2022.
- 2022
- Working Paper
Institutional Emplacement and the Novel Resurgence of Independent Bookstores
By: Ryan Raffaelli and Ryann Noe
This study reveals how actors leverage physical place as an asset to facilitate organizational
adaptation and industry evolution. Through a longitudinal, qualitative analysis of the U.S.
independent bookselling industry from 1995 to 2019, we outline how dispersed... View Details
Keywords: Industry Growth; Small Business; Organizational Change and Adaptation; Business Processes; Retail Industry; Publishing Industry; United States
Raffaelli, Ryan, and Ryann Noe. "Institutional Emplacement and the Novel Resurgence of Independent Bookstores." Harvard Business School Working Paper, No. 23-033, December 2022.
- 2023
- Working Paper
Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development
By: Daniel Yue, Paul Hamilton and Iavor Bojinov
Predictive model development is understudied despite its centrality in modern artificial
intelligence and machine learning business applications. Although prior discussions
highlight advances in methods (along the dimensions of data, computing power, and
algorithms)... View Details
Keywords: Analytics and Data Science
Yue, Daniel, Paul Hamilton, and Iavor Bojinov. "Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development." Harvard Business School Working Paper, No. 23-029, December 2022. (Revised April 2023.)
- December 2022
- Article
Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences
By: Leigh Plunkett Tost, Ashley E. Hardin and Francesca Gino
We examine whether narratives about, and the psychological consequences of, perceived gender discrimination differ between women and men. We argue that women and men have different dominant narratives about the reasons why people discriminate against people of their... View Details
Tost, Leigh Plunkett, Ashley E. Hardin, and Francesca Gino. "Different Roots, Different Fruits: Gender-Based Differences in Cultural Narratives about Perceived Discrimination Produce Divergent Psychological Consequences." Academy of Management Journal 65, no. 6 (December 2022): 1804–1834.
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- 2022
- Article
Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations
By: Tessa Han, Suraj Srinivas and Himabindu Lakkaraju
A critical problem in the field of post hoc explainability is the lack of a common foundational goal among methods. For example, some methods are motivated by function approximation, some by game theoretic notions, and some by obtaining clean visualizations. This... View Details
Han, Tessa, Suraj Srinivas, and Himabindu Lakkaraju. "Which Explanation Should I Choose? A Function Approximation Perspective to Characterizing Post hoc Explanations." Advances in Neural Information Processing Systems (NeurIPS) (2022). (Best Paper Award, International Conference on Machine Learning (ICML) Workshop on Interpretable ML in Healthcare.)
- November 22, 2022
- Article
Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals
By: Misha Teplitskiy, Hao Peng, Andrea Blasco and Karim R. Lakhani
There are long-standing concerns that peer review, which is foundational to scientific institutions like journals and funding agencies, favors conservative ideas over novel ones. We investigate the association between novelty and the acceptance of manuscripts submitted... View Details
Teplitskiy, Misha, Hao Peng, Andrea Blasco, and Karim R. Lakhani. "Is Novel Research Worth Doing? Evidence from Peer Review at 49 Journals." e2118046119. Proceedings of the National Academy of Sciences 119, no. 47 (November 22, 2022).
- 2022
- Article
A Human-Centric Take on Model Monitoring
By: Murtuza Shergadwala, Himabindu Lakkaraju and Krishnaram Kenthapadi
Predictive models are increasingly used to make various consequential decisions in high-stakes domains such as healthcare, finance, and policy. It becomes critical to ensure that these models make accurate predictions, are robust to shifts in the data, do not rely on... View Details
Shergadwala, Murtuza, Himabindu Lakkaraju, and Krishnaram Kenthapadi. "A Human-Centric Take on Model Monitoring." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 10 (2022): 173–183.
- November 2022
- Article
Hate Crime Towards Minoritized Groups Increases as They Increase in Sized-Based Rank
By: Mina Cikara, Vasiliki Fouka and Marco Tabellini
People are on the move in unprecedented numbers within and between countries. How does demographic change affect local intergroup dynamics? In complement to accounts that emphasize stereotypical features of groups as determinants of their treatment, we propose the... View Details
Keywords: Prejudice; Minority; Hate Crimes; Reference Dependence; Prejudice and Bias; Attitudes; Demographics
Cikara, Mina, Vasiliki Fouka, and Marco Tabellini. "Hate Crime Towards Minoritized Groups Increases as They Increase in Sized-Based Rank." Nature Human Behaviour 6, no. 11 (November 2022): 1537–1544. (Pre-Published online August 8, 2022, Featured in HBS Working Knowledge and ABC News.)
- November 2022
- Article
The Sharp Spikes of Poverty: Financial Scarcity Is Related to Higher Levels of Distress Intensity in Daily Life
By: Jon M. Jachimowicz, Erin L. Frey, Sandra C. Matz, Bertus F. Jeronimus and Adam D. Galinsky
Although income is an important predictor of life satisfaction, the precise forces that drive this relationship remain unclear. We propose that financial resources afford individuals a path to reducing the distressing impact of everyday hassles, in turn increasing... View Details
Keywords: Distress; Affect; Control; Financial Scarcity; Life Satisfaction; Income; Poverty; Well-being
Jachimowicz, Jon M., Erin L. Frey, Sandra C. Matz, Bertus F. Jeronimus, and Adam D. Galinsky. "The Sharp Spikes of Poverty: Financial Scarcity Is Related to Higher Levels of Distress Intensity in Daily Life." Social Psychological & Personality Science 13, no. 8 (November 2022): 1187–1198.
- October 2022 (Revised December 2022)
- Case
SMART: AI and Machine Learning for Wildlife Conservation
By: Brian Trelstad and Bonnie Yining Cao
Spatial Monitoring and Reporting Tool (SMART), a set of software and analytical tools designed for the purpose of wildlife conservation, had demonstrated significant improvements in patrol coverage, with some observed reductions in poaching and contributing to wildlife... View Details
Keywords: Business and Government Relations; Emerging Markets; Technology Adoption; Strategy; Management; Ethics; Social Enterprise; AI and Machine Learning; Analytics and Data Science; Natural Environment; Technology Industry; Cambodia; United States; Africa
Trelstad, Brian, and Bonnie Yining Cao. "SMART: AI and Machine Learning for Wildlife Conservation." Harvard Business School Case 323-036, October 2022. (Revised December 2022.)
- October 17, 2022
- Article
Relational Diversity in Social Portfolios Predicts Well-Being
By: Hanne K. Collins, Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton and Alison Wood Brooks
We document a link between the relational diversity of one’s social portfolio—the richness and evenness of relationship types across one’s social interactions—and well-being. Across four distinct samples, respondents from the United States who completed a preregistered... View Details
Keywords: Social Interaction; Social Engagement; Well-being; Happiness; Social and Collaborative Networks; Family and Family Relationships
Collins, Hanne K., Serena F. Hagerty, Jordi Quoidbach, Michael I. Norton, and Alison Wood Brooks. "Relational Diversity in Social Portfolios Predicts Well-Being." Proceedings of the National Academy of Sciences 119, no. 43 (October 17, 2022).
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- October 2022
- Article
Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective
By: Blaine Landis, Jon M. Jachimowicz, Dan J. Wang and Robert W. Krause
One of the classic relationships in personality psychology is that extraversion is associated with emerging as an informal leader. However, recent findings raise questions about the longevity of extraverted individuals as emergent leaders. Here, we adopt a social... View Details
Keywords: Extraversion; Social Networks; Emergent Leadership; Leadership Development; Personal Characteristics; Perception
Landis, Blaine, Jon M. Jachimowicz, Dan J. Wang, and Robert W. Krause. "Revisiting Extraversion and Leadership Emergence: A Social Network Churn Perspective." Journal of Personality and Social Psychology 123, no. 4 (October 2022): 811–829.
- October 2022
- Article
Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations
By: Hanne K. Collins, Charles A. Dorison, Francesca Gino and Julia A. Minson
Given the many contexts in which people have difficulty engaging with views that disagree with their own— from political discussions to workplace conflicts—it is critical to understand how conflictual conversations can be improved. Whereas previous work has focused on... View Details
Keywords: Interpersonal Communication; Conflict and Resolution; Values and Beliefs; Learning; Perception
Collins, Hanne K., Charles A. Dorison, Francesca Gino, and Julia A. Minson. "Underestimating Counterparts' Learning Goals Impairs Conflictual Conversations." Psychological Science 33, no. 10 (October 2022): 1732–1752.