Publications

July 2024
Case

Jacqueline Cook at Vendasta: Debating an IPO

By: Reza Satchu, Tom Quinn and Andrew Kosc

In May 2021, after a surge in demand for digital services that prompted high valuations for startups across the Canadian tech sector, Saskatchewan-based Vendasta entered the final stages of the initial public offering (IPO) process. COO Jacqueline Cook had invested her... View Details

2024
Working Paper

Navigating Software Vulnerabilities: Eighteen Years of Evidence from Medium and Large U.S. Organizations

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein

How prevalent are severe software vulnerabilities, how fast do software users respond to the availability of secure versions, and what determines the variance in the installation distribution? Using the largest dataset ever assembled on user updates, tracking server... View Details

Keywords: Cybersecurity; Applications and Software; Technology Adoption; Consumer Behavior

Find at Harvard

2024
Working Paper

Don’t Expect Juniors to Teach Senior Professionals to Use Generative AI: Emerging Technology Risks and Novice AI Risk Mitigation Tactics

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani

The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details

Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise

SSRN

June 2024
Article

The Monitoring Role of Social Media

By: Jonas Heese and Joseph Pacelli

In this study, we examine whether social media activity can reduce corporate misconduct. We use the staggered introduction of 3G mobile broadband access across the United States to identify exogenous increases in social media activity and test whether access to 3G... View Details

Keywords: Corporate Misconduct; Twitter; Corporate Accountability; Mobile and Wireless Technology; Social and Collaborative Networks

May 2024
Supplement

gWorks (A)

By: Richard S. Ruback and Royce Yudkoff

In January of 2019, Joe Heieck, CEO of gWorks, was deciding whether to proceed with his acquisition of Data Tech, that was a business roughly the same size as gWorks. gWorks, which provided geospatial software to small city and rural county governments, was acquired by... View Details

May 2024
Supplement

gWorks (B)

By: Richard S. Ruback and Royce Yudkoff

April 2024
Article

A Machine Learning Algorithm Predicting Risk of Dilating VUR among Infants with Hydronephrosis Using UTD Classification

By: Hsin-Hsiao Scott Wang, Michael Lingzhi Li, Dylan Cahill, John Panagides, Tanya Logvinenko, Jeanne Chow and Caleb Nelson

Backgrounds: Urinary Tract Dilation (UTD) classification has been designed to be a more objective grading system to evaluate antenatal and post-natal UTD. Due to unclear association between UTD classifications to specific anomalies such as vesico-ureteral reflux (VUR),... View Details

Keywords: Health Disorders; Health Testing and Trials; AI and Machine Learning; Health Industry

March 2024 (Revised November 2024)
Case

Kawasaki Heavy Industries Bets on Clean Hydrogen

By: Gunnar Trumbull, Nobuo Sato and Akiko Kanno

Kawasaki Heavy Industries (KHI), an engineering manufacturer headquartered in Japan, was aiming to scale up its hydrogen production and establish a global hydrogen supply chain. The initiative was in line with Japan's energy strategy, as the country seeks to transition... View Details

2023
Working Paper

An Experimental Design for Anytime-Valid Causal Inference on Multi-Armed Bandits

By: Biyonka Liang and Iavor I. Bojinov

Typically, multi-armed bandit (MAB) experiments are analyzed at the end of the study and thus require the analyst to specify a fixed sample size in advance. However, in many online learning applications, it is advantageous to continuously produce inference on the... View Details

Keywords: Analytics and Data Science; AI and Machine Learning; Mathematical Methods

March 2024 (Revised August 2024)
Case

Darktrace: Scaling Cybersecurity and AI (A)

By: Jeffrey F. Rayport and Alexis Lefort

In 2023, Darktrace CEO Poppy Gustafsson was contemplating her growth strategy at a leading U.K.-based cybersecurity venture, launched in 2013 by a group of anti-terror cyber specialists, University of Cambridge mathematicians, and artificial intelligence (AI) experts.... View Details

Keywords: Technology; Talent; Scaling; Entrepreneurship; Cybersecurity; Leadership; Business Growth and Maturation; Recruitment; Resignation and Termination; AI and Machine Learning; Growth and Development Strategy; Organizational Culture; Going Public; Technology Industry; United Kingdom; Europe; United States

Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing