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2022
White Paper

Census II of Free and Open Source Software - Application Libraries

By: Frank Nagle, James Dana, Jennifer Hoffman, Steven Randazzo and Yanuo Zhou

Produced in partnership with Harvard Laboratory for Innovation Science (LISH) and the Open Source Security Foundation (OpenSSF), Census II is the second investigation into the widespread use of Free and Open Source Software (FOSS). The Census II effort utilizes data... View Details

Keywords: Open Source Software; Applications and Software; Cybersecurity; Open Source Distribution

2022
Working Paper

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

By: Satyapriya Krishna, Tessa Han, Alex Gu, Javin Pombra, Shahin Jabbari, Steven Wu and Himabindu Lakkaraju

As various post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to develop a deeper understanding of if and when the explanations output by these methods disagree with each other, and how... View Details

Keywords: AI and Machine Learning; Analytics and Data Science; Mathematical Methods

2022
Working Paper

E-commerce During COVID: Stylized Facts from 47 Economies

By: Joel Alcedo, Alberto Cavallo, Bricklin Dwyer, Prachi Mishra and Antonio Spilimbergo

We study e-commerce across 47 economies and 26 industries during the COVID-19 pandemic using aggregated and anonymized transaction-level data from Mastercard, scaled to represent total consumer spending. The share of online transactions in total consumption increased... View Details

Keywords: COVID-19 Pandemic; Health Pandemics; Spending; Internet and the Web; Global Range; Analysis; E-commerce

February 2022
Article

Taxation and Innovation in the 20th Century

By: Ufuk Akcigit, John Grigsby, Tom Nicholas and Stefanie Stantcheva

This paper studies the effect of corporate and personal taxes on innovation in the United States over the twentieth century. We build a panel of the universe of inventors who patent since 1920, and a historical state-level corporate tax database with corporate tax... View Details

Keywords: Innovation; Income Taxes; Corporate Taxation; Firms; Inventors; State Taxation; Business Taxation; R＆D Tax Credits; Taxation; Innovation and Invention; History; United States

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December 2021
Article

Employee Responses to Compensation Changes: Evidence from a Sales Firm

By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton

What are the long-term consequences of compensation changes? Using data from an inbound sales call center, we study employee responses to a compensation change that ultimately reduced take-home pay by 7% for the average affected worker. The change caused a significant... View Details

Keywords: Employees; Wages; Compensation and Benefits; Change; Performance; Resignation and Termination; Retention; Analysis

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Winter 2021
Article

Mobile Internet Usage and Usage-based Pricing

By: Jeffrey Prince and Shane Greenstein

Using data on mobile Internet usage of thousands of individuals, we provide some of the first analyses linking mobile usage to key demographics such as income. We find a reverse-U relationship between mobile Internet usage and income—notably different than the... View Details

Keywords: Mobile Internet Usage; Pricing Strategy; Internet and the Web; Mobile and Wireless Technology; Demographics; Income; Price; Strategy

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December 2021
Article

The Evolutionary Nature of Breakthrough Innovation: An Empirical Investigation of Firm Search Strategies

By: Dominika Kinga Randle and Gary P. Pisano

Breakthrough innovation has been an important topic of study for generations of scholars. Previous research in this domain has focused on exploring the way breakthroughs emerge from cumulative combination and recombination of prior technologies and knowledge components... View Details

Keywords: Breakthrough Innovation; Exploration And Exploitation; Search Strategy; Innovation and Invention; Technological Innovation; Strategy

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November 2021 (Revised December 2021)
Supplement

PittaRosso (B): Human and Machine Learning

By: Ayelet Israeli

This case supplements the "PittaRosso: Artificial Intelligence-Driven Pricing and Promotion" case, and provides major highlights on what happened at the company since the first case. View Details

October 2021 (Revised March 2022)
Supplement

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli and Fabrizio Fantini

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

October 2021 (Revised June 2022)
Case

PittaRosso: Artificial Intelligence-Driven Pricing and Promotion

By: Ayelet Israeli

PittaRosso, a traditional Italian shoe retailer, is implementing an AI system to provide pricing and promotion recommendations. The system allows them to implement changes that would affect both the top of funnel and bottom of funnel activities for the company: once... View Details

October 1, 2021
Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio

Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details

Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods

October 2021
Article

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Nicolas Padilla and Eva Ascarza

The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details

Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Programs; Consumer Behavior; Analysis

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September 2021
Supplement

Telepass: From Tolling to Mobility Platform

By: Chiara Farronato, Stefano Denicolai and Sarah Mehta

This supplementary dataset can be paired with the case entitled “Telepass: From Tolling to Mobility Platform” (case no. 622-011), to allow students the opportunity to analyze data before class. View Details

Keywords: Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan

September 2021 (Revised December 2021)
Case

Telepass: From Tolling to Mobility Platform

By: Chiara Farronato, Stefano Denicolai and Sarah Mehta

Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details

September 2021 (Revised December 2021)
Case

Telepass: From Tolling to Mobility Platform (Abridged)

By: Chiara Farronato, Stefano Denicolai and Sarah Mehta

Telepass, until very recently the sole processor of electronic toll payments on Italy’s highways, has ambitions beyond tolling. Since the mid-2010s, the company has been expanding into adjacent services. In 2017, Telepass launched TelepassPay—a mobile payment... View Details

August 2021 (Revised February 2024)
Case

Data Science at the Warriors

By: Iavor I. Bojinov and Michael Parzen

The case explores the development and early growth of a data science team at the Golden State Warriors, an NBA team based in San Francisco. The case begins by explaining the initial rationale for investing in data science, then covers a debate on the appropriate team... View Details

Keywords: Data Science; Digital Marketing; Analysis; Forecasting and Prediction; Technological Innovation; Information Technology; Sports Industry; San Francisco; United States

August 2021
Case

Precision Paint Co.

By: Iavor I. Bojinov, Chiara Farronato, Janice H. Hammond, Michael Parzen and Paul Hamilton

Describes a marketing director about to launch a new process for demand forecasting. Provides data that allow students to do a multivariable regression analysis. A rewritten version of an earlier case. View Details

Keywords: Regression; Prediction; Forecasting; Data Science; Analysis; Forecasting and Prediction

August 2021
Article

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett

This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details

Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India

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June 2021
Technical Note

Introduction to Linear Regression

By: Michael Parzen and Paul Hamilton

This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical... View Details

Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science

2021
Working Paper

The Great Unequalizer: Initial Health Effects of COVID-19 in the United States

By: Marcella Alsan, Amitabh Chandra and Kosali I. Simon

We measure inequities from the COVID-19 pandemic on mortality and hospitalizations in the United States during the early months of the outbreak. We discuss challenges in measuring health outcomes and health inequality, some of which are specific to COVID-19 and others... View Details

Keywords: COVID-19; Health Inequality; Health Pandemics; Demographics; Equality and Inequality

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