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Show Results For
- All HBS Web
(244)
- News (35)
- Research (167)
- Events (7)
- Multimedia (3)
- Faculty Publications (95)
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- Research Summary
Overview
By: Tatiana Sandino
In studying management control systems, Professor Sandino aims to understand how different control mechanisms can help lead employees within an organization to achieve common goals. Her work builds on contingency theory by exploring environmental, strategic, and... View Details
- June 2025
- Exercise
Full-Funnel Advertising on TikTok: An Experiment (Solution)
By: Jeremy Yang and Ayelet Israeli
TikTok’s Marketing Science team developed a new type of advertising strategy beyond branding and performance advertising, called full-funnel advertising. Branding ads focused on brand building at the top of the funnel by generating consumer awareness, while performance... View Details
- June 2025
- Supplement
Full-Funnel Advertising on TikTok: An Experiment
By: Jeremy Yang and Ayelet Israeli
TikTok’s Marketing Science team developed a new type of advertising strategy beyond branding and performance advertising, called full-funnel advertising. Branding ads focused on brand building at the top of the funnel by generating consumer awareness, while performance... View Details
- 2011
- Chapter
Changing Identity, Changing Language
By: Kathleen L. McGinn and Jeffrey T. Polzer
Environmental jolts and shifting membership challenge a group's efficacy and survival. Group identity is critical for a shared interpretation of and response to these challenges, but external and internal changes may require corresponding changes in a group's... View Details
Keywords: Change; Spoken Communication; Performance Efficiency; Problems and Challenges; Safety; Identity; California
McGinn, Kathleen L., and Jeffrey T. Polzer. "Changing Identity, Changing Language." In Advances in Group Processes. Vol. 28, edited by Shane R. Thye and Edward Lawler, 125–145. Bingley, UK: Emerald Group Publishing, 2011.
- 2020
- Article
Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data
By: Maryam Ghasemaghaei and Goran Calic
In this study, we explore the impacts of big data’s main characteristics (i.e., volume, variety, and velocity) on innovation performance (i.e., innovation efficacy and efficiency), which eventually impacts firm performance (i.e., customer perspective, financial... View Details
Ghasemaghaei, Maryam, and Goran Calic. "Assessing the Impact of Big Data on Firm Innovation Performance: Big Data is not Always Better Data." Journal of Business Research 108 (2020): 147–162.
- November 2007
- Case
Antegren: A Beacon of Hope
By: Joshua D. Margolis, Thomas J. DeLong and Terence Heymann
The CEO of Biogen Idec faces a set of difficult decisions regarding a promising drug for Multiple Sclerosis that is headed for early approval by the FDA. The first in a series focuses on operational decisions triggered by the drive for early approval. Sparks discussion... View Details
Keywords: Demand and Consumers; Leadership; Ethics; Corporate Social Responsibility and Impact; Decision Choices and Conditions; Crisis Management; Health Testing and Trials; Biotechnology Industry; Pharmaceutical Industry
Margolis, Joshua D., Thomas J. DeLong, and Terence Heymann. "Antegren: A Beacon of Hope." Harvard Business School Case 408-025, November 2007.
- Article
What We Can Learn from Five Naturalistic Field Experiments that Failed to Shift Commuter Behaviour
By: Ariella S. Kristal and A.V. Whillans
Across five field experiments with employees of a large organization (n = 68,915), we examined whether standard behavioural interventions (“nudges”) successfully reduced single-occupancy vehicle commutes. In Studies 1 and 2, we sent letters and emails with nudges... View Details
Kristal, Ariella S., and A.V. Whillans. "What We Can Learn from Five Naturalistic Field Experiments That Failed to Shift Commuter Behaviour." Nature Human Behaviour 4, no. 2 (February 2020): 169–176. (This article was featured on the cover as the lead article.)
- April 2014 (Revised July 2015)
- Case
Sanofi Pasteur: The Dengue Vaccine Dilemma
By: V. Kasturi Rangan, David E. Bloom, Vincent Dessain and Emilie Billaud
In 2012, Sanofi Pasteur was racing to develop a vaccine against dengue, a mosquito-borne disease, and was evaluating this product in a Phase IIb trial conducted with school children in Thailand. But while the candidate vaccine met the high safety expectations and a... View Details
Keywords: Health Testing and Trials; Product Launch; Market Entry and Exit; Emerging Markets; Pharmaceutical Industry; France
Rangan, V. Kasturi, David E. Bloom, Vincent Dessain, and Emilie Billaud. "Sanofi Pasteur: The Dengue Vaccine Dilemma." Harvard Business School Case 514-074, April 2014. (Revised July 2015.)
- April 2019 (Revised January 2025)
- Case
Clear Link Technologies, LLC: Driving Sales with Peer Effects
By: Christopher Stanton, Richard Saouma and Olivia Hull
The importance of a good peer or coworker is widely discussed, but understanding the glue that makes coworkers valuable is less understood. This case sheds light on the importance of peers and the practices and environments that make a group greater than the sum of its... View Details
Keywords: Talent and Talent Management; Interactive Communication; Experience and Expertise; Decision Making; Training; Design; Compensation and Benefits; Knowledge Acquisition; Knowledge Sharing; Human Capital; Working Conditions; Measurement and Metrics; Outcome or Result; Performance; Performance Improvement; Research; Sales; Salesforce Management; Motivation and Incentives; Telecommunications Industry; Utah; United States
Stanton, Christopher, Richard Saouma, and Olivia Hull. "Clear Link Technologies, LLC: Driving Sales with Peer Effects." Harvard Business School Case 819-072, April 2019. (Revised January 2025.)
- September 2020
- Article
Relaxing Household Liquidity Constraints Through Social Security
By: Sylvain Catherine, Max Miller and Natasha Sarin
More than a quarter of working-age households in the United States do not have sufficient savings to cover their expenditures after a month of unemployment. Recent proposals suggest giving workers early access to a small portion of their future Social Security benefits... View Details
Keywords: COVID-19 Pandemic; Personal Finance; Employment; Welfare; Insurance; Government Legislation
Catherine, Sylvain, Max Miller, and Natasha Sarin. "Relaxing Household Liquidity Constraints Through Social Security." Art. 104243. Journal of Public Economics 189 (September 2020).
- 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
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).
- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of... View Details
Keywords: Management Accounting; Management Control; Corporate Culture; Corporate Misconduct; Risk Measurement; Organizational Culture; Crime and Corruption; Risk and Uncertainty; Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- Article
The Mixed Effects of Online Diversity Training
By: Edward H. Chang, Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth and Adam M. Grant
We present results from a large (n = 3,016) field experiment at a global organization testing whether a brief science-based online diversity training can change attitudes and behaviors toward
women in the workplace. Our preregistered field experiment included an... View Details
Chang, Edward H., Katherine L. Milkman, Dena M. Gromet, Robert W. Rebele, Cade Massey, Angela L. Duckworth, and Adam M. Grant. "The Mixed Effects of Online Diversity Training." Proceedings of the National Academy of Sciences 116, no. 16 (April 16, 2019): 7778–7783.
- Research Summary
Drip Pricing
Anyone who has shopped for an airline ticket online has experienced drip pricing, as each successive screen seems to reveal another fee throughout the purchasing process. This practice is becoming prevalent in a variety of industries, but its effect on consumers is... View Details
- July 2011
- Article
Unexploited Efficiencies in Higher Education
By: Henry C. Eyring
In "Unexploited Efficiencies in Higher Education," Henry C. Eyring argues that one way that the U.S. can compete globally in college attainment is to decrease cost-per-graduate. He explains how many stakeholders in higher education stand to benefit from unexploited... View Details
Keywords: Performance Measurement; Innovation; Control Systems; Education; Performance Evaluation; Innovation and Invention; Education Industry; United States
Eyring, Henry C. "Unexploited Efficiencies in Higher Education." Art. 1. Contemporary Issues in Education Research 4, no. 7 (July 2011): 1–18. (Best Paper Award, March 2011 Clute Institute International Economic Conference.)
- 2010
- Working Paper
Integrity: A Positive Model That Incorporates the Normative Phenomena of Morality, Ethics, and Legality Abridged
By: Werner H. Erhard, Michael C. Jensen and Steve Zaffron
We present a positive model of integrity that, as we distinguish and define integrity, provides powerful access to increased performance for individuals, groups, organizations, and societies. Our model reveals the causal link between integrity and increased... View Details
Keywords: Trust; Performance Productivity; Information Technology; Knowledge; Moral Sensibility; Opportunities; Competitive Advantage; Legal Liability; Cost vs Benefits
Erhard, Werner H., Michael C. Jensen, and Steve Zaffron. "Integrity: A Positive Model That Incorporates the Normative Phenomena of Morality, Ethics, and Legality Abridged." Harvard Business School Working Paper, No. 10-061, February 2010.
- 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
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.
- July 2000 (Revised August 2005)
- Case
Deaconess-Glover Hospital (A)
Chronicles the initial efforts to teach a health care organization to manage itself according to the principles of the Toyota Production System (TPS). Describes the decision and dilemmas that arose from the implementation experiment. Builds on Bowen and Spear's earlier... View Details
Spear, Steven J., and John Kenagy. "Deaconess-Glover Hospital (A)." Harvard Business School Case 601-022, July 2000. (Revised August 2005.)
- 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
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- 2023
- Working Paper
Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection
By: Edward McFowland III, Sriram Somanchi and Daniel B. Neill
In the recent literature on estimating heterogeneous treatment effects, each proposed method makes its own set of restrictive assumptions about the intervention’s effects and which subpopulations to explicitly estimate. Moreover, the majority of the literature provides... View Details
Keywords: Causal Inference; Program Evaluation; Algorithms; Distributional Average Treatment Effect; Treatment Effect Subset Scan; Heterogeneous Treatment Effects
McFowland III, Edward, Sriram Somanchi, and Daniel B. Neill. "Efficient Discovery of Heterogeneous Quantile Treatment Effects in Randomized Experiments via Anomalous Pattern Detection." Working Paper, 2023.