Filter Results:
(2,843)
Show Results For
- All HBS Web
(8,659)
- Faculty Publications (2,843)
Show Results For
- All HBS Web
(8,659)
- Faculty Publications (2,843)
- January–February 2021
- Article
Compensation Packages That Actually Drive Performance
By: Boris Groysberg, Sarah Abbott, Michael R. Marino and Metin Aksoy
By aligning executives’ financial incentives with company strategy, a firm can inspire its management to deliver superior results. But it can be hard to get pay packages right. In this article four experts break down the key elements of compensation and explain how to... View Details
Keywords: Executive Compensation; Compensation and Benefits; Motivation and Incentives; Strategy; Performance
Groysberg, Boris, Sarah Abbott, Michael R. Marino, and Metin Aksoy. "Compensation Packages That Actually Drive Performance." Harvard Business Review 99, no. 1 (January–February 2021): 102–111.
- 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
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.
- 2021
- Book
Harvard Business Review Family Business Handbook: How to Build and Sustain a Successful, Enduring Enterprise
By: Josh Baron and Rob Lachenauer
Navigate the complex decisions and critical relationships necessary to create and sustain a healthy family business--and business family. Though "family business" may sound like it refers only to mom-and-pop shops, businesses owned by families are among the most... View Details
Keywords: Family Business; Entrepreneurship; Family and Family Relationships; Outcome or Result; Business Model; Conflict and Resolution; Organizational Culture
Baron, Josh, and Rob Lachenauer. Harvard Business Review Family Business Handbook: How to Build and Sustain a Successful, Enduring Enterprise. Harvard Business Review Press, 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
Upadhyay, Sohini, Shalmali Joshi, and Himabindu Lakkaraju. "Towards Robust and Reliable Algorithmic Recourse." Advances in Neural Information Processing Systems (NeurIPS) 34 (2021).
- January 2021
- Article
Turbulence, Firm Decentralization and Growth in Bad Times
By: Philippe Aghion, Nicholas Bloom, Brian Lucking, Raffaella Sadun and John Van Reenen
What is the optimal form of firm organization during “bad times”? We present a model of delegation within the firm to show that the effect is ambiguous. The greater turbulence following macro shocks may benefit decentralized firms because the value of local information... View Details
Keywords: Decentralization; Growth; Turbulence; Great Recession; Organizational Design; System Shocks; Economic Growth; Performance
Aghion, Philippe, Nicholas Bloom, Brian Lucking, Raffaella Sadun, and John Van Reenen. "Turbulence, Firm Decentralization and Growth in Bad Times." American Economic Journal: Applied Economics 13, no. 1 (January 2021): 133–169.
- January 2021
- Article
Using Models to Persuade
By: Joshua Schwartzstein and Adi Sunderam
We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details
Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework
Schwartzstein, Joshua, and Adi Sunderam. "Using Models to Persuade." American Economic Review 111, no. 1 (January 2021): 276–323.
- January 2021
- Article
Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis
By: Karen Huang, Regan Bernhard, Netta Barak-Corren, Max Bazerman and Joshua D. Greene
The COVID-19 crisis has forced healthcare professionals to make tragic decisions concerning which patients to save. Furthermore, the COVID-19 crisis has foregrounded the influence of self-serving bias in debates on how to allocate scarce resources. A utilitarian... View Details
Keywords: Self-serving Bias; Procedural Justice; Bioethics; COVID-19; Fairness; Health Pandemics; Resource Allocation; Decision Making
Huang, Karen, Regan Bernhard, Netta Barak-Corren, Max Bazerman, and Joshua D. Greene. "Veil-of-Ignorance Reasoning Mitigates Self-Serving Bias in Resource Allocation During the COVID-19 Crisis." Judgment and Decision Making 16, no. 1 (January 2021): 1–19.
- 2021
- Working Paper
When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making
By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju
McGrath, Sean, Parth Mehta, Alexandra Zytek, Isaac Lage, and Himabindu Lakkaraju. "When Does Uncertainty Matter?: Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making." Working Paper, January 2021.
- 2020
- Working Paper
Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion
By: Ryan Allen and Prithwiraj Choudhury
Past research offers mixed perspectives on whether domain experience helps or hurts algorithm-augmented work performance. To reconcile these perspectives, we theorize that domain experience affects algorithm-augmented performance via two distinct countervailing... View Details
Keywords: Automation; Domain Experience; Algorithmic Aversion; Experts; Algorithms; Machine Learning; Decision-making; Future Of Work; Employees; Experience and Expertise; Decision Making; Performance
Allen, Ryan, and Prithwiraj Choudhury. "Algorithm-Augmented Work and Domain Experience: The Countervailing Forces of Ability and Aversion." Harvard Business School Working Paper, No. 21-073, October 2020. (Revised September 2021.)
- December 2020 (Revised April 2021)
- Case
IBM Watson at MD Anderson Cancer Center
By: Shane Greenstein, Mel Martin and Sarkis Agaian
After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology... View Details
Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
- December 2020 (Revised March 2022)
- Teaching Note
Forecasting ClimaCell
By: Joshua Lev Krieger, Christopher Stanton and James Barnett
A weather technology startup, ClimaCell considers the R&D trade-offs and financing implications of pursuing a proposed contract with a major automobile maker, rather than continuing its focus on building a scalable, all-purpose weather prediction engine. View Details
- December 2020 (Revised February 2021)
- Supplement
The Tulsa Massacre and the Call for Reparations
By: Mihir A. Desai and Suzanne Antoniou
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Welfare; Tulsa; Oklahoma; United States
- December 2020 (Revised December 2022)
- Case
The Dance of Dharma: On the Difficulty of Being Good
By: Arthur I. Segel and Tyler M. Richard
When deciding how to be good and act well, we often seek outside help. Many of our oldest and most frequently consulted sources of ethical guidance are our religious traditions. Just as one might consult a thoughtful friend, countless people seek direction from their... View Details
Segel, Arthur I., and Tyler M. Richard. "The Dance of Dharma: On the Difficulty of Being Good." Harvard Business School Case 821-058, December 2020. (Revised December 2022.)
- December 2020 (Revised February 2021)
- Teaching Note
The Tulsa Massacre and the Call for Reparations
By: Mihir A. Desai and Suzanne Antoniou
How should historic social injustices be addressed? Survivors of the 1921 Tulsa Massacre and their descendants, including Representative Regina Goodwin of Tulsa, believe they should be addressed through reparations and have consequently continued to push the government... View Details
Keywords: Cost vs Benefits; Decision Choices and Conditions; Decisions; Judgments; Race; Fairness; Moral Sensibility; Values and Beliefs; Corporate Accountability; Corporate Governance; Policy; Governing Rules, Regulations, and Reforms; Government Legislation; Government and Politics; Government Administration; Lawsuits and Litigation; Legal Liability; Leading Change; Mission and Purpose; Corporate Social Responsibility and Impact; Conflict and Resolution; Conflict Management; Loss; Motivation and Incentives; Perspective; Prejudice and Bias; Civil Society or Community; Social Issues; Welfare; Tulsa; Oklahoma; United States
- December 2020 (Revised January 2025)
- Case
Responsive Working at PepsiCo UK (A): Designing a Turnaround
By: Amy C. Edmondson and Nancy Boghossian Staples
Facing a significant decline in revenues in 2016, David Gwilliam, Head of Transformation at PepsiCo UK introduced a new way of working (“Responsive Working”), which encompasses a set of work practices and some new team structures. The work practices comprise a set of 9... View Details
Keywords: SLAM Teams; Turnaround; Groups and Teams; Employees; Training; Decision Making; Planning; Performance Improvement; Consumer Products Industry; Manufacturing Industry; United Kingdom; Europe
Edmondson, Amy C., and Nancy Boghossian Staples. "Responsive Working at PepsiCo UK (A): Designing a Turnaround." Harvard Business School Case 621-076, December 2020. (Revised January 2025.)
- December 2020 (Revised March 2021)
- Case
eXp Realty and the Virbela Platform
By: Prithwiraj Choudhury, Jan Bena, David Rowat and Emma Salomon
As he considered his plans for the future, Glenn Sanford, CEO of eXp World Holdings, Inc., faced an exciting conundrum. He had built the first all-remote real estate brokerage firm, eXp Realty, which had been growing exponentially and was thriving, even amidst the... View Details
Keywords: Real Estate; All Remote; Virtual Platform; Internet and the Web; Strategy; Decision Making; Resource Allocation; Digital Platforms; Real Estate Industry; Technology Industry
Choudhury, Prithwiraj, Jan Bena, David Rowat, and Emma Salomon. "eXp Realty and the Virbela Platform." Harvard Business School Case 621-068, December 2020. (Revised March 2021.)
- Article
Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses
By: Kaivalya Rawal and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision-making, there has been a lot of interest in developing algorithms which can provide recourses to affected individuals. While developing such tools is important, it is even more critical to... View Details
Rawal, Kaivalya, and Himabindu Lakkaraju. "Beyond Individualized Recourse: Interpretable and Interactive Summaries of Actionable Recourses." Advances in Neural Information Processing Systems (NeurIPS) 33 (2020).
- December 2020 (Revised June 2021)
- Case
France Télécom (A): A Challenging Restructuring
These cases explore the impacts of industry shocks, resulting corporate actions that had a devastating impact on employees, and the legal conviction of corporate leaders for “institutional harassment."
This case series follows the evolution of France... View Details
This case series follows the evolution of France... View Details
Keywords: Health & Wellness; Human Resource Management; Strategic Change; Leadership & Corporate Accountability; Leadership And Change Management; Leadership And Managing People; Change; Restructuring; Crime and Corruption; Ethics; Health; Human Capital; Human Resources; Labor; Labor and Management Relations; Labor Unions; Law; Social Psychology; Strategy; Leadership; Leadership Style; Organizations; Problems and Challenges; Relationships; Crisis Management; Organizational Culture; Employees; Well-being; Telecommunications Industry; Europe; European Union
Montgomery, Cynthia A., and Ashley V. Whillans. "France Télécom (A): A Challenging Restructuring." Harvard Business School Case 721-420, December 2020. (Revised June 2021.)
- December 2020
- Supplement
France Télécom (C): An Unprecedented Trial
In the C case we learn that former CEO Didier Lombard, Deputy Chief Executive Louis-Pierre Wenes, Human Resources Head Olivier Barberot and France Telecom itself were charged for institutional harassment by French authorities, a first for a CAC 40 company. In December... View Details
Keywords: Human Behavior; Human Dignity; Human Resource Practices; Corporate Change And Sustainability; Corporate Culture; Strategic Corporate Decisions; Strategic Change; Strategic Decision Making; Emotion; Management Challenges; Corporate Accountability; Organizational Culture; Human Resources; Crisis Management; Law; Courts and Trials; Labor; Labor and Management Relations; Management Practices and Processes; Employees; Well-being; Telecommunications Industry; Europe; European Union
Montgomery, Cynthia A., and Ashley V. Whillans. "France Télécom (C): An Unprecedented Trial." Harvard Business School Supplement 721-422, December 2020.
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)