Publications
Publications
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- All HBS Web
(117,143)
- Faculty Publications (3,210)
- 2023
- Working Paper
Operational Impact of Communication Channels: Evidence from Last-Mile Delivery Services
By: Natalie Epstein, Santiago Gallino and Antonio Moreno
Communication channels are often used to improve customer satisfaction and behavior. This paper studies
how they can be used to enhance operational performance.
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
We partner with a last-mile delivery company and, through natural and field experiments, explore... View Details
- 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... View Details
- 2023
- Book
Research Handbook on Digital Strategy
By: Carmelo Cennamo, Giovanni Battista Dagnino and Feng Zhu
This state-of-the-art Research Handbook presents a comprehensive overview of the key strategic challenges that firms face when dealing with digital markets, platforms, and products and services, from old strategy questions in need of different solutions to entirely... View Details
Keywords: Digital Strategy
- May 2023
- Article
Self-Preferencing at Amazon: Evidence from Search Rankings
By: Chiara Farronato, Andrey Fradkin and Alexander MacKay
We study whether Amazon engages in self-preferencing on its marketplace by favoring its own brands (e.g., Amazon Basics) in search. To address this question, we collect new micro-level consumer search data using a custom browser extension installed by a panel of study... View Details
- April 2023 (Revised October 2023)
- Supplement
Driving Decarbonization at BMW – Instructor Spreadsheet Supplement
- 24 Apr 2023 - 27 Apr 2023
- Conference Presentation
Diversity, Equity, & Inclusion: The Paradoxical Effect & Impact on Security
By: J. Carlos Vega, Hise O. Gibson, Nicole Gilmore and Larry Whiteside Jr.
Diversity, Equity, & Inclusion (DEI) is necessary to create the world class teams we need to defend against advanced threats and adversaries; however, the approach that most take often fails spectacularly. The panel challenges the current practices, the failings, and... View Details
- April 2023
- Case
Elliott Management: Capital Allocation in Biopharma
By: Amitabh Chandra, Paul Clancy and Lauren Gunasti
The case explores the intersection of capital allocation and shareholder activism in the biopharmaceutical industry. As many biopharma companies face looming patent expirations for key medicines, the case asks the question of whether investing in R&D and M&A is an... View Details
- April 2023
- Teaching Plan
Cesaro e Associati
By: Christina R. Wing and Amram Migdal
Teaching Plan for HBS Case No. 623-021. View Details
- 15 Apr 2023
- Conference Presentation
Autonomous Systems
By: Hise O. Gibson, Rob Wittman, Brandon Tseng, Nini Hamrick and Tim Booher
Autonomous systems have been on the front lines and front pages in the war in Ukraine, yet there are many unanswered questions regarding their future role and capabilities. Currently, these systems are employed in myriad use cases in logistics, intelligence, and... View Details
- 2023
- Working Paper
How Wicked Problems Drive Business Performance: A Review of the Academic Literature
By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
Recent years have seen a rise in the number of businesses engaged in the pursuit of “purposeful” activities – that is, activities that engage with the broader community in ways that expand beyond the pursuit of shareholder value. Many of these activities involve... View Details
- 2023
- Working Paper
Firm Purpose and Problem Wickedness: A Review of the Academic Literature
By: Caroline Adelson, Charlotte Kuller, Cate Tompkins, Ellora Sarkar, Samantha Price and Marco Iansiti
Our understanding of the firm’s role in society has evolved greatly over the past 70 years, with more recent years seeing a sharp rise in interest for how firms can contribute more than profits to society – that is, have a purpose beyond profits. Businesses engaged in... View Details
- April 2023
- Technical Note
An Art & A Science: How to Apply Design Thinking to Data Science Challenges
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
We hear it all the time as managers: “what is the data that backs up your decisions?” Even local mom-and-pop shops now have access to complex point-of-sale systems that can closely track sales and customer data. Social media influencers have turned into seven-figure... View Details
- April 2023
- Case
Fizzy Fusion: When Data-Driven Decision Making Failed
By: Michael Parzen, Eddie Lin, Douglas Ng and Jessie Li
This is a case about a fictional New York beverage company called Fizzy Fusion. The business is facing supply chain and inventory management challenges with its new product, SparklingSip. Despite seeking help from a data science consulting firm, the machine learning... View Details
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
- 2023
- Working Paper
Feature Importance Disparities for Data Bias Investigations
By: Peter W. Chang, Leor Fishman and Seth Neel
It is widely held that one cause of downstream bias in classifiers is bias present in the training data. Rectifying such biases may involve context-dependent interventions such as training separate models on subgroups, removing features with bias in the collection... View Details
- April 2023
- Article
On the Privacy Risks of Algorithmic Recourse
By: Martin Pawelczyk, Himabindu Lakkaraju and Seth Neel
As predictive models are increasingly being employed to make consequential decisions, there is a growing emphasis on developing techniques that can provide algorithmic recourse to affected individuals. While such recourses can be immensely beneficial to affected... View Details
- March–April 2023
- Article
Pricing for Heterogeneous Products: Analytics for Ticket Reselling
By: Michael Alley, Max Biggs, Rim Hariss, Charles Herrmann, Michael Lingzhi Li and Georgia Perakis
Problem definition: We present a data-driven study of the secondary ticket market. In particular, we are primarily concerned with accurately estimating price sensitivity for listed tickets. In this setting, there are many issues including endogeneity, heterogeneity in... View Details
- 2023
- Working Paper
PRIMO: Private Regression in Multiple Outcomes
By: Seth Neel
We introduce a new differentially private regression setting we call Private Regression in Multiple Outcomes (PRIMO), inspired the common situation where a data analyst wants to perform a set of l regressions while preserving privacy, where the covariates... View Details
- April 2023
- Article
The Subjective Expected Utility Approach and a Framework for Defining Project Risk in Terms of Novelty and Feasibility—A Response to Franzoni and Stephan (2023), ‘Uncertainty and Risk-Taking in Science’
In their Discussion Paper, Franzoni and Stephan (F&S, 2023) discuss the shortcomings of existing peer review models in shaping the funding of risky science. Their discussion offers a conceptual framework for incorporating risk into peer review models of research... View Details
- March 2023
- Teaching Note
VideaHealth: Building the AI Factory
By: Karim R. Lakhani
Teaching Note for HBS Case No. 621-021. The case “VideaHealth: Building the AI Factory” examines the creation of dental startup VideaHealth (Videa) and the development of its artificial intelligence (AI)-led business strategy through the eyes of founder and CEO Florian... View Details