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  • March 2022
  • Technical Note

Ethical Analysis: Society

By: Nien-hê Hsieh
How should managers determine and deliver on their responsibilities to society? This note summarizes prevailing approaches to this question and outlines an approach centered on what distinguishes society from other key constituencies, such as investors or customers.... View Details
Keywords: Social and Collaborative Networks; Management Analysis, Tools, and Techniques; Organizational Structure; Corporate Social Responsibility and Impact; Ethics; Analysis
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  • March 2022 (Revised July 2022)
  • Technical Note

Exploratory Data Analysis

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v.... View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Exploratory Data Analysis; Analytics and Data Science; Analysis
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  • March 2022
  • Module Note

A Behavioral Science Perspective on Motivation and Incentives

By: John Beshears and Ashley Whillans
This module note for instructors describes a module that integrates insights from the behavioral science of motivation into the economic analysis of incentive systems. View Details
Keywords: Motivation; Incentives; Behavioral Science; Behavioral Economics; Motivation and Incentives; Economics; Analysis; Human Resources
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  • 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
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  • January 2022 (Revised March 2022)
  • Module Note

Analysis of Financial and Non-Financial Information for Forecasting Performance

By: Charles C.Y. Wang
This note describes the main themes and cases of a teaching module on the analysis of information from, and outside of, financial statements for forecasting firms’ future financial performance. The module’s pedagogical goal is to deepen students’ understanding of the... View Details
Keywords: Financial Reporting; Performance; Analysis; Valuation; Accounting; Finance
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  • January 2022
  • Technical Note

Ethical Analysis: Well-Being and Rights

By: Nien-hê Hsieh and Christopher Diak
This note introduces students to two central concepts for ethical analysis: well-being and rights. It illustrates ways in which they figure in managerial decisions and challenges that arise, including how to frame trade-offs across individual well-being and... View Details
Keywords: Ethics; Analysis; Rights; Well-being; Management Practices and Processes; Decision Making
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  • Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details
Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods
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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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  • 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
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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  • 2021
  • Chapter

Digital Infrastructure

By: Shane Greenstein
What determines the supply of innovative digital infrastructure and how does variance in supply shape the performance of digital services? The essay reviews research into the economic impact of deployment, innovation, and adoption of digital infrastructure. It... View Details
Keywords: Information Technology; Infrastructure; Economics; Policy; Research; Analysis; United States
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  • 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
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; Retail Industry; Italy
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  • 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
Keywords: Artificial Intelligence; Pricing; Pricing Algorithm; Pricing Decisions; Pricing Strategy; Pricing Structure; Promotion; Promotions; Online Marketing; Data-driven Decision-making; Data-driven Management; Retail; Retail Analytics; AI; Price; Advertising Campaigns; Analytics and Data Science; Analysis; Digital Marketing; Budgets and Budgeting; Marketing Strategy; Marketing; Transformation; Decision Making; AI and Machine Learning; Retail Industry; Italy
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  • 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
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  • 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
Keywords: Mobile Payment; App; Mobility Services; Analysis; Change; Change Management; Transformation; Transition; Innovation and Invention; Strategy; Information Technology; Mobile and Wireless Technology; Transportation; Transportation Networks; Value; Value Creation; Consumer Behavior; Technology Industry; Transportation Industry; Insurance Industry; Europe; Italy; Milan
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  • 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
Keywords: Mobile Payment; App; Mobility Services; 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
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  • 2021
  • Working Paper

Employee Ownership and Wealth Inequality: A Path to Reducing Wealth Concentration

By: Thomas Dudley and Ethan Rouen
This paper examines the impact of an economy-wide shift to broad-based employee ownership on wealth concentration in the United States. Relying on government data, we show that if all private firms became 30% employee-owned, the wealth distribution would be profoundly... View Details
Keywords: Wealth Inequality; Employee Ownership; Wealth; Equality and Inequality; Analysis; United States
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  • Fall 2021
  • Article

When to Go and How to Go? Founder and Leader Transitions in Private Equity Firms

By: Josh Lerner and Diana Noble
Leadership transition in private equity firms is an understudied field, despite the important, albeit controversial, role such firms play in developed economies. We analyzed 260 firms in an empirical study, supplemented by qualitative interviews with a small sample of... View Details
Keywords: Leadership Transition; Private Equity; Leadership; Management Succession; Analysis
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  • 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
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  • 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
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