Filter Results
:
(786)
Show Results For
-
All HBS Web
(4,274)
- Faculty Publications (786)
Show Results For
-
All HBS Web
(4,274)
- Faculty Publications (786)
Page 1 of
786
Results
→
- Summer 2024
- Article
The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms
By: Hanna Halaburda, Jeffrey Prince, D. Daniel Sokol and Feng Zhu
In this essay, we identify several themes of the digital business transformation, with a particular focus on the economy-wide impacts of artificial intelligence and digital platforms. In doing so, we highlight specific industries, beyond just the high-profile “Big...
View Details
Halaburda, Hanna, Jeffrey Prince, D. Daniel Sokol, and Feng Zhu. "The Business Revolution: Economy-Wide Impacts of Artificial Intelligence and Digital Platforms." Journal of Economics & Management Strategy 33, no. 2 (Summer 2024): 269–275.
- 2024
- Working Paper
Private Equity and Digital Transformation
By: Brian K. Baik, Wilbur Chen and Suraj Srinivasan
We study the role which private equity (PE) plays in digital transformation. We find that PE investment is associated with greater investments into portfolio firm’s digital technologies, as measured by IT expenditures and the hiring demand for AI skills. This...
View Details
Keywords:
Digital Transformation;
Private Equity;
Selection and Staffing;
Investment Portfolio;
Value Creation
Baik, Brian K., Wilbur Chen, and Suraj Srinivasan. "Private Equity and Digital Transformation." Harvard Business School Working Paper, No. 24-070, May 2024.
- 2024
- Working Paper
The Value of AI Innovations
By: Wilbur Xinyuan Chen, Terrence Tianshuo Shi and Suraj Srinivasan
We study the value of AI innovations as it diffuses across general and application sectors, using the United States Patent and Trademark Office’s (USPTO) AI patent dataset. Investors value these innovations more than others, as AI patents exhibit a 9% value premium,...
View Details
Keywords:
AI and Machine Learning;
Valuation;
Technological Innovation;
Open Source Distribution;
Patents;
Policy;
Knowledge Sharing;
Technology Industry
Chen, Wilbur Xinyuan, Terrence Tianshuo Shi, and Suraj Srinivasan. "The Value of AI Innovations." Harvard Business School Working Paper, No. 24-069, May 2024.
- April 2024
- Article
Detecting Routines: Applications to Ridesharing CRM
By: Ryan Dew, Eva Ascarza, Oded Netzer and Nachum Sicherman
Routines shape many aspects of day-to-day consumption. While prior work has established the importance of habits in consumer behavior, little work has been done to understand the implications of routines—which we define as repeated behaviors with recurring, temporal...
View Details
Keywords:
Ride-sharing;
Routine;
Machine Learning;
Customer Relationship Management;
Consumer Behavior;
Segmentation
Dew, Ryan, Eva Ascarza, Oded Netzer, and Nachum Sicherman. "Detecting Routines: Applications to Ridesharing CRM." Journal of Marketing Research (JMR) 61, no. 2 (April 2024): 368–392.
- March 2024
- Tutorial
FRC: The Balanced Scorecard
By: Trevor Fetter
This brief video tutorial explains the concept and application of The Balanced Scorecard, developed by Prof. Robert Kaplan of HBS. It has been used in the MBA required course, Financial Reporting and Control.
View Details
Keywords:
Balanced Scorecard
- March 2024
- Case
Teamworks: Tackling a Forecasting Fumble (A)
By: N. Louis Shipley and Stacy Straaberg
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional...
View Details
Keywords:
Acquisition;
Business Growth and Maturation;
Communication Strategy;
Decisions;
Forecasting and Prediction;
Business Cycles;
Technological Innovation;
Sports;
Growth and Development Strategy;
Resource Allocation;
Marketing;
Sales;
Business Strategy;
Expansion;
Sports Industry;
Technology Industry;
United States;
North Carolina
- March 2024
- Supplement
Teamworks: Tackling a Forecasting Fumble (B)
By: N. Louis Shipley, Stacy Straaberg and Tom Quinn
In late March 2018, Teamworks CEO Zach Maurides learned Q1 2018 sales were at risk for a large forecasting miss. Founded in 2004, Teamworks’s software application assisted support staff in messaging, scheduling, and sharing documents with collegiate and professional...
View Details
Keywords:
Acquisition;
Business Growth and Maturation;
Communication Strategy;
Decisions;
Forecasting and Prediction;
Business Cycles;
Technological Innovation;
Sports;
Growth and Development Strategy;
Resource Allocation;
Marketing;
Sales;
Business Strategy;
Expansion;
Valuation;
Sports Industry;
Technology Industry;
United States;
North Carolina
- March 2024
- Case
The CHIPS Program Office
By: Mitchell Weiss and Sebastian Negron-Reichard
In February 2023, U.S. Commerce Secretary Gina Raimondo weighed signing off on a Notice of Funding Opportunity (“NOFO”) with at least one unconventional provision: a pre-application (“pre-app”) to the actual application for parts of $39 billion in direct semiconductor...
View Details
- March 2024
- Teaching Note
CoPilot(s): Generative AI at Microsoft and GitHub
By: Frank Nagle and Maria P. Roche
This teaching note is the companion to case N9-624-010 CoPilot(s): Generative AI at Microsoft and GitHub, which takes place in late 2021. The case briefly describes the history of both GitHub and Microsoft with a particular focus on open source software (OSS)—software...
View Details
- 2023
- Working Paper
Design-Based Inference for Multi-arm Bandits
By: Dae Woong Ham, Iavor I. Bojinov, Michael Lindon and Martin Tingley
Multi-arm bandits are gaining popularity as they enable real-world sequential decision-making across application areas, including clinical trials, recommender systems, and online decision-making. Consequently, there is an increased desire to use the available...
View Details
Ham, Dae Woong, Iavor I. Bojinov, Michael Lindon, and Martin Tingley. "Design-Based Inference for Multi-arm Bandits." Harvard Business School Working Paper, No. 24-056, March 2024.
- 2024
- Book
Deals: The Economic Structure of Business Transactions
By: Guhan Subramanian and Michael Klausner
Drawing on real-life cases from a wide range of industries, two acclaimed experts offer a sophisticated but accessible guide to business deals, designed to maximize value for your side.
Business transactions take widely varying forms—from multibillion-dollar... View Details
Business transactions take widely varying forms—from multibillion-dollar... View Details
Subramanian, Guhan, and Michael Klausner. Deals: The Economic Structure of Business Transactions. Harvard University Press, 2024.
- March 2024
- Article
Flight to Safety: How Economic Downturns Affect Talent Flows to Startups
By: Shai Bernstein, Richard Townsend and Ting Xu
Using proprietary data from AngelList Talent, we study how individuals’ job search and application behavior changed during the COVID-19 downturn. We find that job seekers shifted their searches toward more established firms and away from early-stage startups, even...
View Details
Bernstein, Shai, Richard Townsend, and Ting Xu. "Flight to Safety: How Economic Downturns Affect Talent Flows to Startups." Review of Financial Studies 37, no. 3 (March 2024): 837–881.
- February 2024
- Course Overview Note
The Anatomy of Fraud
By: Jonas Heese
Corporate fraud remains a serious problem. Learning how to detect and prevent it, and make better investment decisions, has broad applicability for private and public market investors, as well as for people joining or running companies. This course note describes a...
View Details
Heese, Jonas. "The Anatomy of Fraud." Harvard Business School Course Overview Note 124-076, February 2024.
- February 2024
- Case
ReSpo.Vision: The Kickstart of an AI Sports Revolution
By: Paul A. Gompers, Elena Corsi and Nikolina Jonsson
This case study explores the growth journey of Polish computer vision sports start-up ReSpo.Vision in an emerging entrepreneurial ecosystem. By providing 3D data and analysis to soccer clubs, ReSpo.Vision achieved significant milestones with a €1 million seed round, an...
View Details
Keywords:
Business Startups;
Business Plan;
Experience and Expertise;
Talent and Talent Management;
Decisions;
Decision Choices and Conditions;
Forecasting and Prediction;
Entrepreneurship;
Venture Capital;
AI and Machine Learning;
Analytics and Data Science;
Applications and Software;
Business Strategy;
Sports Industry;
Technology Industry;
Poland;
Europe
- February 2024
- Case
SundaySky: Changing Customer Experiences through Personalized Video
By: David C. Edelman and James Barnett
In June 2023, SundaySky CEO Jim Dicso considers growth strategies. The software-as-a-service company provided software to create advertising videos, customer service videos, and other videos, like employee training modules, and had begun to pilot a new generative...
View Details
- 2024
- Article
Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway
By: Mateo Aboy, Cristina Crespo and Ariel Stern
Moderate-risk medical devices constitute 99% of those that have been regulated by the U.S. Food and Drug Administration (FDA) since it gained authority to regulate medical technology nearly five decades ago. This article presents an analysis of the interaction between...
View Details
Keywords:
Governing Rules, Regulations, and Reforms;
Health Care and Treatment;
Technology Adoption;
Technological Innovation;
Safety;
Medical Devices and Supplies Industry;
United States
Aboy, Mateo, Cristina Crespo, and Ariel Stern. "Beyond the 510(k): The Regulation of Novel Moderate-Risk Medical Devices, Intellectual Property Considerations, and Innovation Incentives in the FDA’s De Novo Pathway." Art. 29. npj Digital Medicine 7 (2024).
- February 2024
- Article
Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry
By: Dominika Kinga Randle and Gary P. Pisano
An enduring trait of modern corporations is their propensity to diversify into multiple lines of business. Penrosian theories conceptualize diversification as a strategy to exploit a firm’s fungible, yet “untradeable”, resources and point to redeployment of...
View Details
Randle, Dominika Kinga, and Gary P. Pisano. "Diversification as an Adaptive Learning Process: An Empirical Study of General-Purpose and Market-Specific Technological Know-How in New Market Entry." Special Issue on Knowledge Resources and Heterogeneity of Entrants within and across Industries. Industrial and Corporate Change 33, no. 1 (February 2024): 238–252.
- 2024
- Chapter
The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives
By: Ariel Dora Stern
For those who follow health and technology news, it is difficult to go more than a few days without reading about a compelling new application of Artificial Intelligence (AI) to health care. AI has myriad applications in medicine and its adjacent industries, with...
View Details
Stern, Ariel Dora. "The Regulation of Medical AI: Policy Approaches, Data, and Innovation Incentives." Chap. 4 in The Economics of Artificial Intelligence: Health Care Challenges, edited by Ajay Agrawal, Joshua Gans, Avi Goldfarb, and Catherine E. Tucker, 107–138. Chicago and London: University of Chicago Press, 2024.
- 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
Feng, Flora, Charis Li, and Shunyuan Zhang. "Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application." SSRN Working Paper Series, No. 4665286, February 2024.
- January 2024 (Revised April 2024)
- Case
Target Malaria: Editing Mosquitoes through Gene Drives
By: Shikhar Ghosh and Shweta Bagai
Target Malaria, a non-profit research consortium, is exploring the application of CRISPR-Cas9 gene editing technology to combat malaria in Sub-Saharan Africa. Its approach uses gene drives, a revolutionary tool, to suppress the population of malaria-carrying...
View Details
Ghosh, Shikhar, and Shweta Bagai. "Target Malaria: Editing Mosquitoes through Gene Drives." Harvard Business School Case 824-068, January 2024. (Revised April 2024.)