Show Results For
-
All HBS Web
(3,731)
- Faculty Publications (471)
Show Results For
-
All HBS Web
(3,731)
- Faculty Publications (471)
- 1977
- Working Paper
Mitigating Demographic Risk Through Social Insurance
- August 1976
- Article
A Model of Economic Growth With Altruism Between Generations
- Article
Temporary General Equilibrium in a Sequential Trading Model with Spot and Futures Transactions
- 1971
- Working Paper
A Simple General Equilibrium Model of the Term Structure of Interest Rates
- Forthcoming
- Article
Branch-and-Price for Prescriptive Contagion Analytics
- Forthcoming
- Article
Crisis Interventions in Corporate Insolvency
- Research Summary
Customer-Centricity as a Vehicle for Organic Growth
- Teaching Interest
Demystifying the Family Enterprise
This course is primarily designed for students who are pursuing a career in family run businesses, family owned businesses, investment roles in family offices, or students that might invest in or wholly purchase a family owned business through a private equity firm,... View Details
- Teaching Interest
Digital Innovation and Transformation – MBA Elective Curriculum
Digital Innovation and Transformation is designed to equip students to confidently help conceive, lead and execute digital innovation initiatives and develop new business models for existing and insurgent organizations. The basic premise of the course... View Details
- Forthcoming
- Article
Enterprise Resource Planning (ERP) System Implementations and Corporate Misconduct
- Teaching Interest
Harvard Business Analytics Program: Operations and Supply Chain Management
- Research Summary
Hybrid organizing
While historically the commercial and social sectors have evolved on fairly separate tracks, over the last 30 years we have witnessed a blurring of the boundaries between these two sectors. In an effort to account for this transition, Professor Battilana’s second... View Details
- 2024
- Chapter
Inflation and Misallocation in New Keynesian Models
- Research Summary
Internalizing Global Value Chains: A Firm-Level Analysis
- Teaching Interest
Interpretability and Explainability in Machine Learning
As machine learning models are increasingly being employed to aid decision makers in high-stakes settings such as healthcare and criminal justice, it is important to ensure that the decision makers correctly understand and consequent trust the functionality of these... View Details
- Article
Learning by Thinking: The Role of Reflection in Individual Learning
- 2023
- Chapter
Marketing Through the Machine’s Eyes: Image Analytics and Interpretability
- Forthcoming
- Article
On the Representativeness of Voter Turnout
- Research Summary