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- All HBS Web
(117,169)
- Faculty Publications (3,211)
- January 2021
- Case
The FIRE Savings Calculator
By: Michael Parzen and Paul Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the... View Details
- 8 Jan 2021
- Interview
Talk Green, Play Dirty: Corporate America's Mixed Record
By: Michael W. Toffel and Greg Dalton
Toffel, Michael W., and Greg Dalton. "Talk Green, Play Dirty: Corporate America's Mixed Record." Climate One (podcast), January 8, 2021.
- January 2021 (Revised February 2021)
- Case
TCS: From Physical Offices to Borderless Work
By: Prithwiraj Choudhury and Malini Sen
Tata Consultancy Services (TCS), a multinational IT services company headquartered in Mumbai, is a subsidiary of one of India’s most reputed conglomerates, the Tata Group. In 2020, TCS was valued at $144.7 billion, the highest for any company in the IT sector,... View Details
Keywords: Remote Work; Organizational Structure; Change Management; Transformation; Decision Choices and Conditions; Customer Satisfaction; Information Technology Industry; India; Asia; United States; Europe
Choudhury, Prithwiraj, and Malini Sen. "TCS: From Physical Offices to Borderless Work." Harvard Business School Case 621-081, January 2021. (Revised February 2021.)
- 1 Jan 2021
- Interview
Encore Teams That Succeed with Amy Edmondson
By: Amy C. Edmondson and Wanda Wallace
Teams in which people are not afraid to speak up, to challenge, to risk saying a wild idea are teams with the best performance. Google has found that psychological safety is a key component of their best teams. Yet, people are afraid of causing trouble, looking... View Details
Keywords: Psychological Safety; Organizational Culture; Trust; Groups and Teams; Performance Effectiveness
"Encore Teams That Succeed with Amy Edmondson." Out of the Comfort Zone (podcast), VoiceAmerica Talk Radio Network, January 1, 2021.
- 2021
- Article
Fair Algorithms for Infinite and Contextual Bandits
By: Matthew Joseph, Michael J Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth
We study fairness in linear bandit problems. Starting from the notion of meritocratic fairness introduced in Joseph et al. [2016], we carry out a more refined analysis of a more general problem, achieving better performance guarantees with fewer modelling assumptions... View Details
Joseph, Matthew, Michael J Kearns, Jamie Morgenstern, Seth Neel, and Aaron Leon Roth. "Fair Algorithms for Infinite and Contextual Bandits." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society 4th (2021).
- 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.
- January 2021
- Article
Machine Learning for Pattern Discovery in Management Research
By: Prithwiraj Choudhury, Ryan Allen and Michael G. Endres
Supervised machine learning (ML) methods are a powerful toolkit for discovering robust patterns in quantitative data. The patterns identified by ML could be used for exploratory inductive or abductive research, or for post-hoc analysis of regression results to detect... View Details
Keywords: Machine Learning; Supervised Machine Learning; Induction; Abduction; Exploratory Data Analysis; Pattern Discovery; Decision Trees; Random Forests; Neural Networks; ROC Curve; Confusion Matrix; Partial Dependence Plots; AI and Machine Learning
Choudhury, Prithwiraj, Ryan Allen, and Michael G. Endres. "Machine Learning for Pattern Discovery in Management Research." Strategic Management Journal 42, no. 1 (January 2021): 30–57.
- Article
Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology
By: Palak Kundu, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg and Ann Raldow
Background
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Psychological safety, a shared belief that interpersonal risk taking is safe, is an important determinant of incident reporting. However, how psychological safety affects near-miss reporting is unclear, as near misses contain contrasting cues that... View Details
Kundu, Palak, Olivia Jung, Amy C. Edmondson, Nzhde Agazaryan, John Hegde, Michael Steinberg, and Ann Raldow. "Resilience vs. Vulnerability: Psychological Safety and Reporting of Near Misses with Varying Proximity to Harm in Radiation Oncology." Joint Commission Journal on Quality and Patient Safety 47, no. 1 (January 2021): 15–22.
- January 2021
- Article
The Effects of Menu Costs on Retail Performance: Evidence from Adoption of the Electronic Shelf Label Technology
By: Ioannis Stamatopoulos, Achal Bassamboo and Antonio Moreno
We use the adoption of electronic shelf labels (ESLs) by an international grocery retailer in 2015 to identify the effects of physical menu costs (i.e., labor and material costs of price adjustment) on retail performance. We find that the installation of ESLs increased... View Details
Keywords: Retail Operations; Dynamic Pricing; Revenue Management; Operations; Price; Revenue; Management; Retail Industry
Stamatopoulos, Ioannis, Achal Bassamboo, and Antonio Moreno. "The Effects of Menu Costs on Retail Performance: Evidence from Adoption of the Electronic Shelf Label Technology." Management Science 67, no. 1 (January 2021): 242–256.
- Article
The Only Thing to Fear Is Unproductive Fear
By: Amy C. Edmondson
Fear can paralyse—or, targeted on valid concerns, can stimulate effective action and innovation. View Details
Keywords: Organizational Culture
Edmondson, Amy C. "The Only Thing to Fear Is Unproductive Fear." Dialogue Q1 (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).
- Article
Trust: The Foundation of Leadership
By: Frances Frei and Anne Morriss
The authors contend that if leadership is about empowering others, in your presence and your absence, then trust is the emotional framework that allows that service to be freely exchanged. Based on their experiences advising individuals and organizations, their basic... View Details
Keywords: Trustworthiness; Authenticity; Empathy; Trust; Leadership; Competency and Skills; Behavior
Frei, Frances, and Anne Morriss. "Trust: The Foundation of Leadership." Leader to Leader 99 (Winter 2021): 20–25.
- 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.
- 28 Dec 2020
- Interview
Psychological Safety and Fearless Organisations
By: Amy C. Edmondson and Vesna Lucca
In This Podcast:
• The ugly and beauty in transformational change
• Why don’t all companies create psychological safety
• Her passion to create a better workplace
• Buckminster Fuller
• The importance of system thinking
• The power... View Details
• The ugly and beauty in transformational change
• Why don’t all companies create psychological safety
• Her passion to create a better workplace
• Buckminster Fuller
• The importance of system thinking
• The power... View Details
"Psychological Safety and Fearless Organisations." Episode 112. Corporate Unplugged (podcast), December 28, 2020.
- December 2020
- Teaching Plan
Pal's Sudden Service—Scaling an Organizational Model to Drive Growth
By: Francesca Gino, Gary P. Pisano and Alexander Rohe
- December 2020
- Teaching Plan
Scaling Well by Doing Good: Motivating Talent at b.good
By: Francesca Gino, Gary P. Pisano and Alexander Rohe
- 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
- Supplement
Experiment A Box Search
By: Iavor I Bojinov and Karim R. Lakhani
Bojinov, Iavor I., and Karim R. Lakhani. "Experiment A Box Search." Harvard Business School Multimedia/Video Supplement 621-701, December 2020.
- December 2020
- Supplement
Experiment B Box Search Implemented
By: Iavor I Bojinov and Karim R. Lakhani
Bojinov, Iavor I., and Karim R. Lakhani. "Experiment B Box Search Implemented." Harvard Business School Multimedia/Video Supplement 621-702, December 2020.
- 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.)