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- All HBS Web
(117,173)
- Faculty Publications (3,210)
- June 2022
- Case
Worten Portugal: Becoming a Digital Marketplace
By: Antonio Moreno, Pedro Amorim and Tonia Labruyere
With Amazon's entry into Portugal, Miguel Mota Freitas, CEO of Portuguese electronics chain Worten, is reflecting on their strategy of building a competitive marketplace. View Details
Keywords: Digital Transformation; Digital Strategy; Digital Platforms; Brands and Branding; E-commerce; Logistics; Service Delivery; Supply Chain; Competitive Strategy; Diversification; Consumer Products Industry; Electronics Industry; Retail Industry; Portugal; Spain
Moreno, Antonio, Pedro Amorim, and Tonia Labruyere. "Worten Portugal: Becoming a Digital Marketplace." Harvard Business School Case 622-062, June 2022.
- May 2022
- Case
AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (A): The Commercialization of Machine Learning Services." Harvard Business School Case 622-060, May 2022.
- May 2022
- Supplement
AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (B): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-086, May 2022.
- May 2022 (Revised July 2022)
- Supplement
AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services
By: Karim R. Lakhani, Shane Greenstein and Kerry Herman
Lakhani, Karim R., Shane Greenstein, and Kerry Herman. "AWS and Amazon SageMaker (C): The Commercialization of Machine Learning Services." Harvard Business School Supplement 622-087, May 2022. (Revised July 2022.)
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and... View Details
Keywords: Evaluations; Novelty; Feasibility; Field Experiment; Resource Allocation; Technological Innovation; Competitive Advantage; Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- May 2022 (Revised July 2023)
- Case
Altibbi: Revolutionizing Telehealth Using AI
Lakkaraju, Himabindu. "Altibbi: Revolutionizing Telehealth Using AI." Harvard Business School Case 622-088, May 2022. (Revised July 2023.)
- 18 May 2021
- Interview
How Georgia State University Increased Graduation Rates
Toffel, Michael W. "How Georgia State University Increased Graduation Rates." Cold Call (podcast), Harvard Business Review Group, May 18, 2021.
- Article
Capture New Value from Your Existing Tech Infrastructure
By: Stefan Thomke and Anthony Rodrigo
When senior managers think about how to respond to the threats and opportunities of technological change, they often dream of the same thing: If they just could start a new company or division that isn’t held back by conventional thinking or outdated business models.... View Details
Keywords: Innovation; Technology; Ecosystem; Incubators; Technological Innovation; Telecommunications Industry; South Asia; Malaysia
Thomke, Stefan, and Anthony Rodrigo. "Capture New Value from Your Existing Tech Infrastructure." Harvard Business Review Digital Articles (May 5, 2022).
- May 2022
- Case
Executive Decision-Making at Zola
By: Amy C. Edmondson and Michael Roberto
In April 2020, Rachel Jarrett, President and COO of wedding technology company Zola, called a meeting with the organization’s key decision-makers. The company had previously launched three business expansions: a vendor marketplace, a wedding apparel division, and a... View Details
Keywords: Decision Making; Voting; Decision Choices and Conditions; Management Skills; Management; Management Style; Organizations; Organizational Culture; Technology Industry; Entertainment and Recreation Industry; United States
Edmondson, Amy C., and Michael Roberto. "Executive Decision-Making at Zola." Harvard Business School Case 622-074, May 2022.
- 3 May 2022
- Conference Presentation
How Do You Prepare for the 100 Year “Cyber” Flood, That Now Happens Every Month?
By: Hise O. Gibson
- Article
Act Like a Scientist: Great Leaders Challenge Assumptions, Run Experiments, and Follow the Evidence
By: Stefan Thomke and Gary W. Loveman
Though they’ve been warned for decades about the dangers of overrelying on gut instinct and personal experience, managers keep failing to critically examine—much less challenge—the ideas their decisions are based on. To correct this problem they need to think and act... View Details
Thomke, Stefan, and Gary W. Loveman. "Act Like a Scientist: Great Leaders Challenge Assumptions, Run Experiments, and Follow the Evidence." Harvard Business Review 100, no. 3 (May–June 2022): 120–129.
- 2022
- Article
Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis.
By: Martin Pawelczyk, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay and Himabindu Lakkaraju
As machine learning (ML) models become more widely deployed in high-stakes applications, counterfactual explanations have emerged as key tools for providing actionable model explanations in practice. Despite the growing popularity of counterfactual explanations, a... View Details
Keywords: Machine Learning Models; Counterfactual Explanations; Adversarial Examples; Mathematical Methods
Pawelczyk, Martin, Chirag Agarwal, Shalmali Joshi, Sohini Upadhyay, and Himabindu Lakkaraju. "Exploring Counterfactual Explanations Through the Lens of Adversarial Examples: A Theoretical and Empirical Analysis." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- May 27, 2022
- Article
How 'Digital Nomad' Visas Can Boost Local Economies
More and more companies are offering their employees the option to “work from anywhere,” whether in their home office, in another state, or even halfway around the globe. A growing group of remote professionals are taking the “anywhere” in work-from-anywhere to new... View Details
Keywords: Remote Work; COVID-19 Pandemic; Collaboration; Work-Life Balance; Human Resources; Collaborative Innovation and Invention
Choudhury, Prithwiraj. "How 'Digital Nomad' Visas Can Boost Local Economies." Harvard Business Review (website) (May 27, 2022).
- May 2022
- Article
How Status of Research Papers Affects the Way They Are Read and Cited
By: Misha Teplitskiy, Eamon Duede, Michael Menietti and Karim R. Lakhani
Although citations are widely used to measure the influence of scientific works, research shows that many citations serve rhetorical functions and reflect little-to-no influence on the citing authors. If highly cited papers disproportionately attract rhetorical... View Details
Keywords: Metrics; Influence; Status; Citations; Science; Measurement and Metrics; Research; Perception
Teplitskiy, Misha, Eamon Duede, Michael Menietti, and Karim R. Lakhani. "How Status of Research Papers Affects the Way They Are Read and Cited." Research Policy 51, no. 4 (May 2022).
- 2022
- Article
Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods.
By: Chirag Agarwal, Marinka Zitnik and Himabindu Lakkaraju
As Graph Neural Networks (GNNs) are increasingly employed in real-world applications, it becomes critical to ensure that the stakeholders understand the rationale behind their predictions. While several GNN explanation methods have been proposed recently, there has... View Details
Keywords: Graph Neural Networks; Explanation Methods; Mathematical Methods; Framework; Theory; Analysis
Agarwal, Chirag, Marinka Zitnik, and Himabindu Lakkaraju. "Probing GNN Explainers: A Rigorous Theoretical and Empirical Analysis of GNN Explanation Methods." Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS) 25th (2022).
- April 12, 2022
- Article
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
By: Estee Y. Cramer, Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li and et al.
Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models... View Details
Keywords: COVID-19; Forecasting and Prediction; Health Pandemics; Mathematical Methods; Partners and Partnerships
Cramer, Estee Y., Evan L. Ray, Velma K. Lopez, Johannes Bracher, Andrea Brennen, Alvaro J. Castro Rivadeneira, Michael Lingzhi Li, and et al. "Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States." e2113561119. Proceedings of the National Academy of Sciences 119, no. 15 (April 12, 2022). (See full author list here.)
- April 6, 2022
- Article
In Uncertain Times, Big Companies Need to Take Care of Their Suppliers
By: Willy C. Shih
Many large original equipment manufacturers (OEMs) have long been ruthless with their suppliers, demanding extremely low prices and loading them up with risks. Given that the current turmoil buffeting global supply chains is unlikely to end anytime soon, OEMs should... View Details
Keywords: Supplier Relationship; Supply Chain Management; Supply Chain; Relationships; Risk and Uncertainty; Auto Industry; Industrial Products Industry; Manufacturing Industry; United States
Shih, Willy C. "In Uncertain Times, Big Companies Need to Take Care of Their Suppliers." Harvard Business Review Digital Articles (April 6, 2022).
- 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... View Details
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.
- 2022
- Working Paper
THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions
By: Dimitris Bertsimas, Michael Lingzhi Li and Saksham Soni
Since December 2019, the world has been ravaged by the COVID-19 pandemic, with over 150 million confirmed cases and 3 million confirmed deaths worldwide. To combat the spread of COVID-19, governments have issued unprecedented non-pharmaceutical interventions (NPIs),... View Details
Keywords: COVID-19; Health Pandemics; Policy; Framework; Cost vs Benefits; Outcome or Result; United States; Germany; Brazil; Singapore; Spain
Bertsimas, Dimitris, Michael Lingzhi Li, and Saksham Soni. "THEMIS: A Framework for Cost-Benefit Analysis of COVID-19 Non-Pharmaceutical Interventions." Working Paper, April 2022.