Publications

June 2025
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

Web

General Management - Faculty & Research

General Management Overview Faculty Curriculum Awards & Honors Doctoral Students May 2025 Case Upstream USA By: Brian Trelstad and Alexis Lefort May 15, 2025 Article How to Build a Life: How to Take Charge of Your Family Inheritance By:... View Details

2024
Working Paper

Incorporating Micro Data into Differentiated Products Demand Estimation with PyBLP

We delineate a general framework for incorporating many types of micro data from summary statistics to full surveys of selected consumers into Berry, Levinsohn, and Pakes (1995) style estimates of differentiated products demand systems. We extend recommended practices... View Details

2020
Working Paper

A General Theory of Identification

By: Iavor Bojinov and Guillaume Basse

What does it mean to say that a quantity is identifiable from the data? Statisticians seem to agree on a definition in the context of parametric statistical models — roughly, a parameter θ in a model P = {Pθ : θ ∈ Θ} is identifiable if the mapping θ 7→ Pθ is injective.... View Details

Keywords: Identification; Econometric Models; Analytics and Data Science; Theory

17 Mar 2015
News

The Success of Monitoring the Economy With Big Data

2023
Working Paper

Black-box Training Data Identification in GANs via Detector Networks

By: Lukman Olagoke, Salil Vadhan and Seth Neel

Since their inception Generative Adversarial Networks (GANs) have been popular generative models across images, audio, video, and tabular data. In this paper we study whether given access to a trained GAN, as well as fresh samples from the underlying distribution, if... View Details

Keywords: Cybersecurity; Copyright; AI and Machine Learning; Analytics and Data Science

Research Summary

4. Collaborative Brokerage, Generative Creativity, and Creative Success

Joint work with Lee Fleming (Technology and Operations Management Unit, Harvard Business School) and David Chen (Doctoral Candidate, Harvard Business School and Harvard School of... View Details

2023
Working Paper

Data Governance, Interoperability and Standardization: Organizational Adaptation to Privacy Regulation

By: Sam (Ruiqing) Cao and Marco Iansiti

The increasing availability of data can afford dynamic competitive advantages among data-intensive corporations, but governance bottlenecks hinder data-driven value creation and increase regulatory risks. We analyze the role of two technological features of data... View Details

Keywords: Organizations; Information Technology; Performance Productivity; Growth and Development; Transformation

SSRN

12 Jan 2015
Research & Ideas

Regulators Ease Up on Companies Generating Political Benefits

employment rolls in the form of reduced enforcement? To test his theory, Heese gathered 30 years of data on publicly traded companies, classifying them by "employment intensity"—that is, the number of a firm's employees relative... View Details

Keywords: by Michael Blanding

Web

Data - Behavioral Finance & Financial Stability

maintains this updated database on US government debt structure. Dataset 1916-2016 (XLS) Global Industry Bubble Watch Bubble Watch Data Banking System The BFFS has compiled data and figures on the aggregate... View Details

2017
Working Paper

Nowcasting the Local Economy: Using Yelp Data to Measure Economic Activity

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

Can new data sources from online platforms help to measure local economic activity? Government datasets from agencies such as the U.S. Census Bureau provide the standard measures of economic activity at the local level. However, these statistics typically appear only... View Details

Keywords: Economy; Analytics and Data Science; Local Range; Social and Collaborative Networks

SSRN

February 2008 (Revised May 2009)
Supplement

Avaya (D): Early Results of the Demand Generation Initiative

Avaya's top management wants to improve demand generation. This requires an improvement in the relationship between Sales and Marketing. This case series (Avaya (A)-(D)) walks the student through each phase of this process. The (A) case begins with background on the... View Details

Keywords: Marketing; Cooperation; Sales

2019
Article

Does Big Data Enhance Firm Innovation Competency? The Mediating Role of Data-driven Insights

By: Maryam Ghasemaghaei and Goran Calic

Grounded in gestalt insight learning theory and organizational learning theory, we collected data from 280 middle and top-level managers to investigate the impact of each big data characteristic (i.e., data volume, data velocity, data variety, and data veracity) on... View Details

Keywords: Analytics and Data Science; Innovation and Invention; Learning

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Article

Digital Ubiquity: How Connections, Sensors, and Data Are Revolutionizing Business

By: Marco Iansiti and Karim R. Lakhani

When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array of... View Details

Keywords: Digital Innovation; Digitization; Industrial Internet; Technological Innovation; Production; Competitive Strategy; Engineering; Aerospace Industry

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March 1999 (Revised February 2000)
Case

Patient Care Delivery Model at the Massachusetts General Hospital, The

By: Amy C. Edmondson, Richard M.J. Bohmer and Emily Heaphy

Examines the implementation of a new patient care delivery model at Massachusetts General Hospital. Uses clinical and financial data to examine different choices for staffing non-physician health care professionals and to understand the challenges of managing change... View Details

Keywords: Change Management; Service Delivery; Health Care and Treatment; Health Industry; Massachusetts

Educators

June 2020
Article

Real-time Data from Mobile Platforms to Evaluate Sustainable Transportation Infrastructure

By: Omar Isaac Asensio, Kevin Alvarez, Arielle Dror, Emerson Wenzel, Catharina Hollauer and Sooji Ha

By displacing gasoline and diesel fuels, electric cars and fleets reduce emissions from the transportation sector, thus offering important public health benefits. However, public confidence in the reliability of charging infrastructure remains a fundamental barrier to... View Details

Keywords: Environmental Sustainability; Transportation; Infrastructure; Behavior; AI and Machine Learning; Demand and Consumers

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2023
Working Paper

New Facts and Data about Professors and Their Research

By: Kyle Myers, Wei Yang Tham, Jerry Thursby, Marie Thursby, Nina Cohodes, Karim R. Lakhani, Rachel Mural and Yilun Xu

We introduce a new survey of professors at roughly 150 of the most research-intensive institutions of higher education in the US. We document seven new features of how research-active professors are compensated, how they spend their time, and how they perceive their... View Details

Keywords: Research; Higher Education; Compensation and Benefits; Measurement and Metrics; Equality and Inequality; Performance Productivity

Mar 2020
Conference Presentation

A New Analysis of Differential Privacy's Generalization Guarantees

By: Christopher Jung, Katrina Ligett, Seth Neel, Aaron Roth, Saeed Sharifi-Malvajerdi and Moshe Shenfeld

We give a new proof of the "transfer theorem" underlying adaptive data analysis: that any mechanism for answering adaptively chosen statistical queries that is differentially private and sample-accurate is also accurate out-of-sample. Our new proof is elementary and... View Details

Keywords: Machine Learning; Transfer Theorem; Mathematical Methods