Publications
Publications
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(7,868)
- Faculty Publications (2,085)
- April 2021
- Supplement
Buy Online, Pickup in Store: Vice President of Store Operations Supplement
By: Antonio Moreno, Santiago Gallino and Amy Klopfenstein
In April 2019, Sylvarella VP of Store Operations Axley Vega must review an analysis of her department’s sales data to determine the impact of the company’s Buy Online, Pickup in Store (BOPS) program. BOPS implementation created significant problems for the store... View Details
- April 2021 (Revised July 2021)
- Case
StockX: The Stock Market of Things (Abridged)
By: Chiara Farronato, John J. Horton, Annelena Lobb and Julia Kelley
Founded in 2015 by Dan Gilbert, Josh Luber, and Greg Schwartz, StockX was an online platform where users could buy and sell unworn luxury and limited-edition sneakers. Sneaker resale prices often fluctuated over time based on supply and demand, creating a robust... View Details
Keywords: Markets; Auctions; Bids and Bidding; Demand and Consumers; Consumer Behavior; Analytics and Data Science; Market Design; Digital Platforms; Market Transactions; Marketplace Matching; Supply and Industry; Analysis; Price; Product Marketing; Product Launch; Apparel and Accessories Industry; Fashion Industry; North and Central America; United States; Michigan; Detroit
- Spring 2021
- Article
Corporate Resilience and Response During COVID-19
By: Alex Cheema-Fox, Bridget LaPerla, George Serafeim and Hui (Stacie) Wang
The coronavirus pandemic caused a sharp market decline while raising heterogeneous responses across companies related to their employees, supply chain, and repurposing of operations to provide needed products and services. We study whether during the 2020 COVID-19... View Details
Keywords: ESG; COVID-19; Coronavirus; Crisis Response Plans; Crisis; ESG (Environmental, Social, Governance) Performance; ESG Ratings; Leadership & Corporate Accountability; Big Data; Machine Learning; Investor Behavior; Institutional Investors; Corporate Performance; Health Pandemics; Crisis Management; Corporate Social Responsibility and Impact; Human Capital; Supply Chain; Operations; Leadership; Corporate Accountability; Institutional Investing; Performance
- 2021
- Article
Does Fair Ranking Improve Minority Outcomes? Understanding the Interplay of Human and Algorithmic Biases in Online Hiring
By: Tom Sühr, Sophie Hilgard and Himabindu Lakkaraju
Ranking algorithms are being widely employed in various online hiring platforms including LinkedIn, TaskRabbit, and Fiverr. Prior research has demonstrated that ranking algorithms employed by these platforms are prone to a variety of undesirable biases, leading to the... View Details
- 2021
- Working Paper
Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage
By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
- April 2021
- Article
Today's Surgeon Compensation Models Fall Short: Aligning Incentives to Create More Equitable and Value-based Compensation Models
By: Susanna Gallani, Mary Witkowski, Lauren Haskins, Haley Jeffcoat, Vinita Mujumdar and Frank Opelka
Modern medicine is undergoing a transformation that involves innovative surgical approaches, increased medical treatment options, clinical care pathways that require collaboration beyond hospital walls, and health data captured by electronic health records and other... View Details
- March 2021
- Supplement
Artea (A), (B), (C), and (D): Designing Targeting Strategies
By: Eva Ascarza and Ayelet Israeli
Power Point Supplement to Teaching Note for HBS No. 521-021,521-022,521-037,521-043. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on... View Details
Keywords: Targeted Advertising; Targeting; Algorithmic Data; Bias; A/B Testing; Experiment; Advertising; Gender; Race; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States
- 2021
- Working Paper
The Emergence of Mafia-like Business Systems in China
By: Meg Rithmire and Hao Chen
A large literature on state-business relations in China has examined the political role of capitalists and collusion between the state and the private sector. This paper contributes to that literature, and our understanding of the internal differentiation among China’s... View Details
- 2021
- Working Paper
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and is considered strategic due to its externalities for businesses, governments, non-profits, and more generally for society. It is renowned that the value of organizations (businesses, government... View Details
- March 2021 (Revised January 2022)
- Case
Philips: Redefining Telehealth
By: Regina E. Herzlinger, Alec Petersen, Natalie Kindred and Sara M. McKinley
As one of the world’s largest healthcare companies, Philips sought to reach beyond the walls of the hospital and expand its hospital-to-home program to gain future competitive advantage through technology solutions combining predictive analytics with care delivery. By... View Details
Keywords: Health Care; Philips; Visicu; Telemedicine; eICU; Accountable Care Organization; ACO; Bundled Payment; Hospital To Home; Patient Monitoring Devices; Home Health Care; Health Care and Treatment; Communication Technology; Quality; Safety; Performance Productivity; Performance Capacity; Performance Efficiency; Consumer Behavior; Emerging Markets; Health Industry; Telecommunications Industry; Netherlands
- Article
A Multicountry Perspective on Gender Differences in Time Use During COVID-19
By: Laura M. Giurge, Ashley V. Whillans and Ayse Yemiscigil (shared authorship)
The COVID-19 pandemic has fundamentally altered how people spend time, with possible consequences for subjective well-being. Using diverse samples of remote workers from the United States, Canada, Denmark, Brazil, and Spain (n = 31,141), following a preregistered... View Details
- March 17, 2021
- Other Article
Beyond Pajamas: Sizing Up the Pandemic Shopper
By: Ayelet Israeli, Eva Ascarza and Laura Castrillo
A first look at how the COVID-19 pandemic impacted e-commerce apparel shopping in the US and the UK. Extensive analysis and interactive graphics utilizing millions of transactions.
While the pandemic is still playing out, our preliminary investigations... View Details
While the pandemic is still playing out, our preliminary investigations... View Details
Keywords: Retail; Retail Analytics; Consumer; Pandemic; COVID; COVID-19; Apparel; Ecommerce; Online Shopping; Online Apparel; Online Sales; Returns; CRM; Customer Retention; Customer Experience; Customer Value; Digital; Customer Focus and Relationships; Customers; Health Pandemics; Consumer Behavior; Customer Relationship Management; Internet and the Web; Behavior; E-commerce; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States; United Kingdom
- March 2021 (Revised August 2021)
- Case
DigiPlex: Ante-Up or Cash Out
By: Josh Lerner and James Mason
In November 2020, the co-founders of DigiPlex study the future growth trajectory of their Nordic data center venture. A critical question was on the agenda: was now finally the right time to sell DigiPlex? Originally a $2.75 million investment in one small data center... View Details
- 2023
- Working Paper
Judging Foreign Startups
By: Nataliya Langburd Wright, Rembrand Koning and Tarun Khanna
Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend... View Details
- March 2021
- Case
VideaHealth: Building the AI Factory
By: Karim R. Lakhani and Amy Klopfenstein
Florian Hillen, co-founder and CEO of VideaHealth, a startup that used artificial intelligence (AI) to detect dental conditions on x-rays, spent the early years of his company laying the groundwork for an AI factory. A process for quickly building and iterating on new... View Details
Keywords: Artificial Intelligence; Innovation and Invention; Disruptive Innovation; Technological Innovation; Information Technology; Applications and Software; Technology Adoption; Digital Platforms; Entrepreneurship; AI and Machine Learning; Technology Industry; Medical Devices and Supplies Industry; North and Central America; United States; Massachusetts; Cambridge
- March 2021 (Revised July 2021)
- Case
Resident
By: Jeffrey F. Rayport and Thomas O. Jones
Launched in 2016, Resident was a leading player in the direct-to-consumer bed-in-a-box mattress market, where it was one of at least 175 venture-backed companies competing in the space. By late 2020, it had realized over $500 million in revenue, profitability in the... View Details
- March 2021
- Article
Bayesian Signatures of Confidence and Central Tendency in Perceptual Judgment
By: Yang Xiang, Thomas Graeber, Benjamin Enke and Samuel Gershman
This paper theoretically and empirically investigates the role of Bayesian noisy cognition in perceptual judgment, focusing on the central tendency effect: the well-known empirical regularity that perceptual judgments are biased towards the center of the... View Details
- 2020
- Working Paper
Currency Hedging in Emerging Markets: Managing Cash Flow Exposure
By: Laura Alfaro, Mauricio Calani and Liliana Varela
Foreign currency derivative markets are among the largest in the world, yet their role in emerging markets in particular, is relatively understudied. We study firms' currency risk exposure and their hedging choices by employing a unique dataset covering the universe of... View Details
- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both... View Details
- 2022
- Article
Gender Inequality in Research Productivity During the COVID-19 Pandemic
By: Ruomeng Cui, Hao Ding and Feng Zhu
We study the disproportionate impact of the lockdown as a result of the COVID-19 outbreak on female and male academics' research productivity in social science. The lockdown has caused substantial disruptions to academic activities, requiring people to work from home.... View Details