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- All HBS Web
(2,244)
- Faculty Publications (387)
- September 2023 (Revised December 2023)
- Case
TetraScience: Noise and Signal
By: Thomas R. Eisenmann and Tom Quinn
In 2019, TetraScience CEO “Spin” Wang needed advice. Five years earlier, he had cofounded a startup that saw early success with a hardware product designed to help laboratory scientists in the biotechnology and pharmaceutical spaces more easily collect data from... View Details
Keywords: Entrepreneurship; Business Growth and Maturation; Business Organization; Restructuring; Forecasting and Prediction; Digital Platforms; Analytics and Data Science; AI and Machine Learning; Organizational Structure; Network Effects; Competitive Strategy; Biotechnology Industry; Pharmaceutical Industry; United States; Boston
Eisenmann, Thomas R., and Tom Quinn. "TetraScience: Noise and Signal." Harvard Business School Case 824-024, September 2023. (Revised December 2023.)
- September 2023 (Revised April 2024)
- Case
Atomwise: Strategic Opportunities in AI for Pharma
By: Satish Tadikonda
Abraham Heifets and his co-founder, Izhar Wallach, had founded Atomwise to develop i) an AI engine to transform drug discovery by creating better medicines faster, and ii) a machine learning-based discovery engine that combined the power of convolutional neural... View Details
Keywords: Business Model; Business Startups; AI and Machine Learning; Science-Based Business; Technological Innovation; Biotechnology Industry; Pharmaceutical Industry
Tadikonda, Satish. "Atomwise: Strategic Opportunities in AI for Pharma." Harvard Business School Case 824-043, September 2023. (Revised April 2024.)
- 2023
- Working Paper
Spatial Mobility, Economic Opportunity, and Crime
By: Gaurav Khanna, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo and Audrey Tiew
Neighborhoods are strong determinants of both economic opportunity and criminal activity. Does improving connectedness between segregated and unequal parts of a city predominantly import opportunity or export crime? We use a spatial general equilibrium framework to... View Details
Keywords: Urban Development; Transportation Networks; Crime and Corruption; Transportation Industry; Medellín; Colombia; South America
Khanna, Gaurav, Carlos Medina, Anant Nyshadham, Daniel Ramos-Menchelli, Jorge Tamayo, and Audrey Tiew. "Spatial Mobility, Economic Opportunity, and Crime." Harvard Business School Working Paper, No. 24-016, September 2023. (R&R American Economic Review.)
- 2023
- Working Paper
Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks
By: Shelley Xin Li, Frank Nagle and Aner Zhou
Organization-level networks facilitate the flow of information and business activities in the
economy. Prior research relies solely on high-level connections to measure these networks. Therefore, to
understand the role of employee connections at all job levels in... View Details
Keywords: Networks; Value; Social and Collaborative Networks; Innovation and Invention; Knowledge Sharing; Employees; Social Media
Li, Shelley Xin, Frank Nagle, and Aner Zhou. "Mapping Organizational-Level Networks Using Individual-Level Connections: Evidence from Online Professional Networks." Harvard Business School Working Paper, No. 24-010, August 2023.
- July 2023 (Revised July 2023)
- Background Note
Generative AI Value Chain
By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
Wu, Andy, and Matt Higgins. "Generative AI Value Chain." Harvard Business School Background Note 724-355, July 2023. (Revised July 2023.)
- July 13, 2023
- Article
Threads Foreshadows a Big—and Surprising—Shift in Social Media
By: Scott Duke Kominers and Liang Wu
Threads, Meta’s Twitter competitor, has become the fastest downloaded app in history. One of the reasons for this is because it allows users to port over their profiles and follows from the already popular social media platform Instagram, also owned by Meta—a feature... View Details
Keywords: Decentralization; Twitter; Facebook; Instagram; Crypto Economy; Blockchain; Network; Industrial Organization; Competition; Open Innovation; Open Platforms; Open Source Innovation; Social Networks; Social Media; Applications and Software; Information Technology Industry
Kominers, Scott Duke, and Liang Wu. "Threads Foreshadows a Big—and Surprising—Shift in Social Media." Harvard Business Review Digital Articles (July 13, 2023).
- July 2023
- Article
So, Who Likes You? Evidence from a Randomized Field Experiment
By: Ravi Bapna, Edward McFowland III, Probal Mojumder, Jui Ramaprasad and Akhmed Umyarov
With one-third of marriages in the United States beginning online, online dating platforms have become important curators of the modern social fabric. Prior work on online dating has elicited two critical frictions in the heterosexual dating market. Women, governed by... View Details
Keywords: Online Dating; Internet and the Web; Analytics and Data Science; Gender; Emotions; Social and Collaborative Networks
Bapna, Ravi, Edward McFowland III, Probal Mojumder, Jui Ramaprasad, and Akhmed Umyarov. "So, Who Likes You? Evidence from a Randomized Field Experiment." Management Science 69, no. 7 (July 2023): 3939–3957.
- June 2023
- Supplement
Clash of Two Giants Simulation Exercise
By: Feng Zhu and Marco Iansiti
Many markets are organized around platforms that connect consumers with complementary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
- June 2023
- Exercise
Clash of Two Giants Simulation Exercise Instructions
By: Feng Zhu and Marco Iansiti
Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides - consumers and those providing applications or services - need access to the same platform to interact. A... View Details
Keywords: Platform Strategies; Technology Platform; Customer Acquisition; Network Effects; Digital Platforms; Marketplace Matching; Strategy
Zhu, Feng, and Marco Iansiti. "Clash of Two Giants Simulation Exercise Instructions." Harvard Business School Exercise 623-092, June 2023.
- June 2023 (Revised October 2024)
- Teaching Note
Clash of Two Giants Simulation Exercise Teaching Note
By: Feng Zhu
Teaching Note for HBS Case No. 623-092. Many markets are organized around platforms that connect consumers with complimentary applications and services. These platforms are two-sided because both sides—consumers and those providing applications or services—need access... View Details
- June 2023
- Article
The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19
By: Lisa Yao Liu and Shirley Lu
We show that information exposure through international business networks enables firms to take proactive measures that benefit employees and potentially the local community. Specifically, in the early days of COVID-19, firms that have business networks with China and... View Details
Keywords: COVID-19 Pandemic; Networks; Knowledge Use and Leverage; Health Pandemics; Decision Choices and Conditions; Corporate Social Responsibility and Impact
Liu, Lisa Yao, and Shirley Lu. "The Effect of Firms' Information Exposure on Safeguarding Employee Health: Evidence from COVID-19." Journal of Accounting Research 61, no. 3 (June 2023): 891–933.
- 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
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- March 2023
- Case
Mirakl: Growing The Marketplace Economy
By: Antonio Moreno, Santiago Gallino and Emilie Billaud
Mirakl provided the technology and seller network required for companies like Macy's, Best Buy, Walmart, Siemens, or Carrefour to simply design, launch, and administer a marketplace that included products from third-party sellers. What began as a basic business idea in... View Details
Keywords: Business Growth and Maturation; Business Startups; Transformation; Technological Innovation; Growth and Development Strategy; Internet and the Web; Technology Adoption; Sales; Information Technology Industry; Information Technology Industry; Information Technology Industry; Europe; France; Paris; United States
Moreno, Antonio, Santiago Gallino, and Emilie Billaud. "Mirakl: Growing The Marketplace Economy." Harvard Business School Case 623-054, March 2023.
- March 2023 (Revised June 2023)
- Teaching Note
Ransomware Attack at Springhill Medical Center
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
Teaching Note for HBS Case No. 123-065. In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to... View Details
Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Business or Company Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Health Industry; Alabama; United States
- February 2023
- Case
Ransomware Attack at Springhill Medical Center
By: Suraj Srinivasan and Li-Kuan (Jason) Ni
In July, 2019, Springhill Medical Center (“SMC”) in Mobile, Alabama, fell prey to a malicious ransomware attack that crippled the hospital’s internal network systems and public-facing web page. While the hospital rushed to securely restore the network, medical... View Details
Keywords: Disruption; Communication; Communication Strategy; Decision Making; Decision Choices and Conditions; Judgments; Corporate Accountability; Corporate Disclosure; Corporate Governance; Governance Controls; Policy; Employees; News; Cybersecurity; Digital Strategy; Information Infrastructure; Information Management; Internet and the Web; Crisis Management; Resource Allocation; Risk Management; Negotiation Tactics; Failure; Business and Stakeholder Relations; Attitudes; Behavior; Perception; Reputation; Trust; Public Opinion; Social Issues; Health Industry; United States; Alabama
Srinivasan, Suraj, and Li-Kuan (Jason) Ni. "Ransomware Attack at Springhill Medical Center." Harvard Business School Case 123-065, February 2023.
- February 2023 (Revised March 2023)
- Case
Hey, Insta & YouTube, Are You Watching TikTok?
In early 2023, the entertainment app TikTok reached close to 1 billion users globally, placing it 4th behind the leading social networks of Facebook, YouTube, and Instagram. Featuring a sophisticated recommendation engine, TikTok mastered the art of keeping users... View Details
Keywords: Social Media; Applications and Software; Business Model; Competition; Organizational Change and Adaptation
Oberholzer-Gee, Felix. "Hey, Insta & YouTube, Are You Watching TikTok?" Harvard Business School Case 723-426, February 2023. (Revised March 2023.)
- 2023
- Article
Evaluating Explainability for Graph Neural Networks
By: Chirag Agarwal, Owen Queen, Himabindu Lakkaraju and Marinka Zitnik
As explanations are increasingly used to understand the behavior of graph neural networks (GNNs), evaluating the quality and reliability of GNN explanations is crucial. However, assessing the quality of GNN explanations is challenging as existing graph datasets have no... View Details
Keywords: Analytics and Data Science
Agarwal, Chirag, Owen Queen, Himabindu Lakkaraju, and Marinka Zitnik. "Evaluating Explainability for Graph Neural Networks." Art. 114. Scientific Data 10 (2023).
- 2023
- Chapter
Generalized Matching: Contracts and Networks
By: John William Hatfield, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym and Alexander Westkamp
Keywords: Matching; Matching With Contracts; Matching Markets; Matching Platform; Market Design; Digital Platforms; Economics; Networks
Hatfield, John William, Ravi Jagadeesan, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, Alexander Teytelboym, and Alexander Westkamp. "Generalized Matching: Contracts and Networks." Chap. 14 in Online and Matching-Based Market Design, edited by Federico Echenique, Nicole Immorlica, and Vijay Vazirani, 303–322. Cambridge University Press, 2023.
- 2022
- Article
Efficiently Training Low-Curvature Neural Networks
By: Suraj Srinivas, Kyle Matoba, Himabindu Lakkaraju and Francois Fleuret
Standard deep neural networks often have excess non-linearity, making them susceptible to issues such as low adversarial robustness and gradient instability. Common methods to address these downstream issues, such as adversarial training, are expensive and often... View Details
Keywords: AI and Machine Learning
Srinivas, Suraj, Kyle Matoba, Himabindu Lakkaraju, and Francois Fleuret. "Efficiently Training Low-Curvature Neural Networks." Advances in Neural Information Processing Systems (NeurIPS) (2022).
- December 1, 2022
- Article
Which Connections Really Help You Find a Job?
By: Iavor I. Bojinov, Karthik Rajkumar, Guillaume Saint-Jacques, Erik Brynjolfsson and Sinan Aral
Experiments involving 20 million people generated a surprising finding: moderately weak connects — and not strong connections — are the most useful in finding a new job. To be more specific, the ties that are most helpful for finding new jobs tend to be moderately... View Details
Bojinov, Iavor I., Karthik Rajkumar, Guillaume Saint-Jacques, Erik Brynjolfsson, and Sinan Aral. "Which Connections Really Help You Find a Job?" Harvard Business Review (website) (December 1, 2022).