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Show Results For
-
All HBS Web
(2,719)
- People (14)
- News (609)
- Research (1,389)
- Events (10)
- Multimedia (10)
- Faculty Publications (668)
- Research Summary
Overview
By: Isamar Troncoso
Professor Troncoso's research explores problems related to digital marketplaces and AI applications in marketing, and combines toolkits from econometrics, causal inference, and machine learning. She has studied how different platform design choices can lead to...
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- June 2023
- Article
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
As machine learning (ML) models are increasingly being employed to assist human decision
makers, it becomes critical to provide these decision makers with relevant inputs which can
help them decide if and how to incorporate model predictions into their decision...
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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." Transactions on Machine Learning Research (TMLR) (June 2023).
- February 2018
- Case
Vodafone: Managing Advanced Technologies and Artificial Intelligence
By: William R. Kerr and Emer Moloney
Vodafone was operating in the fast-moving telecommunications market where innovation and scale were key. Faced with an onslaught of technological advances—big data, automation, and artificial intelligence—CEO Vittorio Colao reflected on how he should change the...
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Keywords:
Technological Innovation;
Management;
Organizational Change and Adaptation;
Corporate Social Responsibility and Impact;
Opportunities;
Telecommunications Industry
Kerr, William R., and Emer Moloney. "Vodafone: Managing Advanced Technologies and Artificial Intelligence." Harvard Business School Case 318-109, February 2018.
- August 2021 (Revised April 2022)
- Case
Intenseye: Powering Workplace Health and Safety with AI
By: Michael W. Toffel and Youssef Abdel Aal
Intenseye was a Turkey-based technology startup that deployed machine learning algorithms to workplace camera feeds in order to identify unsafe worker actions and unsafe working conditions, in order to help improve worker safety. The case describes how Intenseye’s...
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Keywords:
Privacy;
Product Development;
Operations;
Technological Innovation;
Value Creation;
Production;
Distribution;
Safety;
Risk and Uncertainty;
Technology Industry;
Manufacturing Industry;
Distribution Industry;
Turkey;
Middle East;
United States
Toffel, Michael W., and Youssef Abdel Aal. "Intenseye: Powering Workplace Health and Safety with AI." Harvard Business School Case 622-037, August 2021. (Revised April 2022.)
- 2023
- Working Paper
Sending Signals: Strategic Displays of Warmth and Competence
By: Bushra S. Guenoun and Julian J. Zlatev
Using a combination of exploratory and confirmatory approaches, this research examines how
people signal important information about themselves to others. We first train machine learning
models to assess the use of warmth and competence impression management...
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Keywords:
AI and Machine Learning;
Personal Characteristics;
Perception;
Interpersonal Communication
Guenoun, Bushra S., and Julian J. Zlatev. "Sending Signals: Strategic Displays of Warmth and Competence." Harvard Business School Working Paper, No. 23-051, February 2023.
Eva Ascarza
Eva Ascarza is the Jakurski Family Associate Professor of Business Administration in the Marketing Unit. She is the co-founder of the Customer Intelligence Lab at the D^3 institute at Harvard Business School. She teaches the Marketing core in the MBA required... View Details
- February 2022
- Case
Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic
By: Linda A. Hill and Emily Tedards
As COVID-19 began to take lives, destroy healthcare systems, and shut down economies across the globe, Dr. Rakesh Suri, Chief Executive Officer of Cleveland Clinic Abu Dhabi, and his executive team adapted their leadership to instill the new levels of agility and...
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Keywords:
Organizational Behavior;
Culture;
Organizational Culture;
Organizational Adaptation;
Organizational Effectiveness;
Alignment;
Leadership;
Innovation;
Diversity;
Collaboration;
Co-creation;
Learning Organizations;
Empowerment;
Teamwork;
Ecosystem;
Agility;
Partnerships;
Data-driven Decision-making;
Operating Model;
Risk Management;
Virtual Work;
Team Dynamics;
Telemedicine;
Metrics;
Globalization;
Pandemic;
COVID-19;
Hospital;
Healthcare;
United Arab Emirates;
Middle East;
Health Care and Treatment;
Health Pandemics;
Organizational Change and Adaptation;
Crisis Management;
Leading Change;
Leadership Style;
Digital Transformation;
United Arab Emirates;
Middle East
Hill, Linda A., and Emily Tedards. "Cleveland Clinic Abu Dhabi: Leading Through the Fog of the COVID-19 Pandemic." Harvard Business School Case 422-057, February 2022.
- 28 Mar 2017
- Working Paper Summaries
CEO Behavior and Firm Performance
- 17 Jun 2021
- News
Too Few Women Get to Invent – That’s a Problem for Women’s Health
- 20 Sep 2014
- News
Making Big Data Think Bigger
- Teaching Interest
Harvard Business Analytics Program: Operations and Supply Chain Management
By: Dennis Campbell
Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product...
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- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision...
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Keywords:
Causal Inference;
Treatment Effect Estimation;
Treatment Assignment Policy;
Human-in-the-loop;
Decision Making;
Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means...
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Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- 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...
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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.)
- April 2022 (Revised May 2022)
- Case
Mastercard Labs (A) (Abridged)
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify...
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Keywords:
Organizational Behavior;
Culture;
Organizational Culture;
Culture Change;
Organizational Adaptation;
Organizational Effectiveness;
Alignment;
Leadership;
Leadership Development;
Innovation;
Innovation Ecosystems;
Diversity;
Collaboration;
Co-creation;
Learning Organizations;
Empowerment;
Ecosystem;
Agility;
Prototype;
Experiment;
Partnerships;
Operating Model;
Risk Management;
Metrics;
Payments;
Financial Inclusion;
Financial Industry;
Ambidexterity;
Corporate Innovation;
Innovation Lab;
Accelerator;
Start-up;
Intrapreneurship;
Competitive Strategy;
Business Model;
Technological Innovation;
Growth and Development Strategy;
Digital Transformation
Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A) (Abridged)." Harvard Business School Case 422-082, April 2022. (Revised May 2022.)
- February 2021
- Case
Digital Manufacturing at Amgen
By: Shane Greenstein, Kyle R. Myers and Sarah Mehta
This case discusses efforts made by biotechnology (biotech) company Amgen to introduce digital technologies into its manufacturing processes. Doing so is complicated by the fact that the process for manufacturing biologics—or therapeutics made from living cells—is...
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Keywords:
Digital Technologies;
Change;
Change Management;
Decision Making;
Cost vs Benefits;
Decisions;
Information;
Analytics and Data Science;
Innovation and Invention;
Innovation and Management;
Innovation Leadership;
Innovation Strategy;
Technological Innovation;
Jobs and Positions;
Knowledge;
Leadership;
Organizational Culture;
Science;
Strategy;
Information Technology;
Technology Adoption;
Biotechnology Industry;
Pharmaceutical Industry;
United States;
California;
Puerto Rico;
Rhode Island
Greenstein, Shane, Kyle R. Myers, and Sarah Mehta. "Digital Manufacturing at Amgen." Harvard Business School Case 621-008, February 2021.
- January 2019 (Revised October 2019)
- Case
Liulishuo: AI English Teacher
By: John J-H Kim and Shu Lin
Educators and entrepreneurs alike are excited about the potential for artificial intelligence (AI) and machine learning to change the way learning will look like in the future. There is a confluence of factors such as the availability of large sources of rich,...
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Keywords:
AI;
Artificial Intelligence;
Education Technology;
Information Technology;
Education;
Entrepreneurship;
AI and Machine Learning;
Education Industry;
China
Kim, John J-H, and Shu Lin. "Liulishuo: AI English Teacher." Harvard Business School Case 319-090, January 2019. (Revised October 2019.)
- October 2021 (Revised December 2021)
- Case
Customer-Centric Design with Artificial Intelligence: Commonwealth Bank
By: Karim R. Lakhani, Yael Grushka-Cockayne, Jin Hyun Paik and Steven Randazzo
As Commonwealth Bank (CommBank) CEO Matt Comyn delivered the full financial year results in August 2021 over videoconference, it took less than two minutes for him to make his first mention of the organization's Customer Engagement Engine (CEE), the AI-driven customer...
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Keywords:
Artificial Intelligence;
Customer-centricity;
Banks and Banking;
Customer Focus and Relationships;
Technological Innovation;
Transformation;
Organizational Change and Adaptation;
Performance;
AI and Machine Learning;
Financial Services Industry;
Australia
Lakhani, Karim R., Yael Grushka-Cockayne, Jin Hyun Paik, and Steven Randazzo. "Customer-Centric Design with Artificial Intelligence: Commonwealth Bank." Harvard Business School Case 622-065, October 2021. (Revised December 2021.)
- 08 Mar 2017
- HBS Seminar