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  • Teaching Interest

Digital Innovation and Transformation – MBA Elective Curriculum

By: Feng Zhu
 

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

  • Teaching Interest

Harvard Business Analytics Program: Operations and Supply Chain Management

By: Dennis Campbell
Digital technologies and data analytics are radically changing the operating model of an organization and how it connects to its broader supply chain and ecosystem. This course emphasizes managing product availability, especially in a context of rapid product... View Details
  • Research Summary

Hybrid organizing

By: Julie Battilana

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

  • Article

Ideation with Generative AI—In Consumer Research and Beyond

By: Julian De Freitas, G. Nave and Stefano Puntoni
The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details
Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy
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  • Research Summary

Internalizing Global Value Chains: A Firm-Level Analysis

By: Laura Alfaro
In recent decades, advances in information and communication technology and falling trade barriers have led firms to retain within their boundaries and in their domestic economies only a subset of their production stages. A key decision facing firms worldwide is the... View Details
  • Teaching Interest

Interpretability and Explainability in Machine Learning

By: Himabindu Lakkaraju

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

By: Giada Di Stefano, Francesca Gino, Gary P. Pisano and Bradley R. Staats
It is common wisdom that practice makes perfect. And, in fact, we find evidence that when given a choice between practicing a task and reflecting on their previously accumulated practice, most people opt for the former. We argue in this paper that this preference is... View Details
Keywords: Learning; Cognition and Thinking; Practice; Experience and Expertise
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  • Research Summary

Optimal Reserve Management and Sovereign Debt (with Fabio Kanczuk)

By: Laura Alfaro
Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. Some of the implications of this analysis, however, may not be generalized once one considers the joint decision to hold debt and reserves by a... View Details
  • Teaching Interest

Overview

By: John F. Batter
As as Senior Lecturer I teach the EC course Law, Management and Entrepreneurship (cross-listed in the General Management and Entrepreneurial Management Units) in both the Fall and Spring semesters. While I have retired from my public and private company litigation... View Details
Keywords: Fiduciary Duty; Securities; Private Equity; Entrepreneurship; Mergers; Law
  • Research Summary

Overview

By: Feng Zhu
Professor Zhu’s research focuses on the design of platform business models and its impact on platform performance. Platforms have become central to our economy. A platform is a product or service that enables two or more customer groups to interact. For example,... View Details
  • Research Summary

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By: Matthew C. Weinzierl

My academic research centers on uncovering and closing gaps between the theory and reality of tax policy. My main contribution has been to identify and address a mismatch between the goals for taxation typically assumed in theory and the goals the public and... View Details

  • Research Summary

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By: Iavor I. Bojinov
Over the last decade, technology companies like Amazon, Google, and Netflix have pioneered data-driven research and development processes centered on massive experimentation. However, as companies increase the breadth and scale of their experiments to millions of... View Details
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By: Shunyuan Zhang
Professor Zhang uses machine learning to address marketing problems that have arisen within the nascent sharing economy. She conducts rigorous analyses of structured and unstructured data generated by new sharing economy platforms to address important issues emerging... View Details
  • Research Summary

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By: Jorge Tamayo
Professor Tamayo’s research focuses on theoretical modeling and structural estimation of firm decision-making and productivity.

Professor Tamayo studies dynamic competition for customer membership. Generally, firms that implement a membership model charge a... View Details
Keywords: Industrial Organization, Industrial Development; Management Practices and Processes; Management Skills; Management Style; Energy Generation; Performance Efficiency; Market Design; Crime and Corruption; Manufacturing Industry; Energy Industry
  • Research Summary

Overview

By: Reshmaan N. Hussam

Engaged with field work in South Asia and East Africa, Professor Hussam places a focus on exploring questions with strong theoretical motivation in the economics literature as well as relevant downstream policy implications. Her research spans four broad interests.... View Details

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Overview

By: Kris Johnson Ferreira
Professor Ferreira's research primarily focuses on how retailers can use algorithms to make better revenue management decisions, including pricing, product display, and assortment planning. In the retail industry, anticipating consumer demand is arguably one of the... View Details
Keywords: E-commerce; Analytics; Revenue Management; Pricing; Assortment Planning; Field Experiments; Operations; Supply Chain; Supply Chain Management; Retail Industry
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  • Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami
We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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Sovereign Debt as a Contingent Claim: A Quantitative Approach (joint with Fabio Kanczuk)

By: Laura Alfaro
We construct a dynamic equilibrium model with contingent service and adverse selection to quantitatively study sovereign debt. In the model, benefits of defaulting are tempered by higher future interest rates. For a wide parameter, the only equilibrium is one in which... View Details

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