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Article

Making Private Data Accessible in an Opaque Industry: The Experience of the Private Capital Research Institute

By: Josh Lerner and Leslie Jeng

Private markets are becoming an increasingly important way of financing rapidly growing and mature firms, and private investors are reputed to have far-reaching economic impacts. These important markets, however, are uniquely difficult to study. This paper explores... View Details

Keywords: Analytics and Data Science; Research; Entrepreneurship; Private Sector

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December 2013
Article

How Google Sold Its Engineers on Management

By: David A. Garvin

High-performing knowledge workers often question whether managers actually contribute much, especially in a technical environment. Until recently, that was the case at Google, a company filled with self-starters who viewed management as more destructive than beneficial... View Details

Keywords: Organizational Behavior; Human Resource Management; Managing Change; Organizational Change; Analytics; Management; Leadership; Human Resources; Talent and Talent Management

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March 2019
Case

Wattpad

By: John Deighton and Leora Kornfeld

How to run a platform to match four million writers of stories to 75 million readers? Use data science. Make money by doing deals with television and filmmakers and book publishers. The case describes the challenges of matching readers to stories and of helping writers... View Details

September 2020 (Revised June 2023)
Supplement

Spreadsheet Supplement to Artea Teaching Note

By: Eva Ascarza and Ayelet Israeli

Spreadsheet Supplement to Artea Teaching Note 521-041. This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and... View Details

Keywords: Targeted Advertising; Algorithmic Data; Bias; Advertising; Race; Gender; Diversity; Marketing; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

February 2006
Article

Do Stronger Intellectual Property Rights Increase International Technology Transfer? Empirical Evidence from U.S. Firm-Level Panel Data

By: Lee G. Branstetter, Raymond Fisman and C. Fritz Foley

Keywords: Intellectual Property; Rights; Information Technology; Information; Analytics and Data Science; United States

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March 2022 (Revised January 2025)
Technical Note

Statistical Inference

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic... View Details

Keywords: Data Science; Statistics; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

Spring 2016
Article

The Billion Prices Project: Using Online Prices for Inflation Measurement and Research

By: Alberto Cavallo and Roberto Rigobon

New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details

Keywords: Billion Prices Project; Online Scraped Data; Online Price Index; Economics; Research; Price; Analytics and Data Science

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January 2025 (Revised March 2025)
Case

Thomas Müller: Mr. Bayern Munich

By: Boris Groysberg, Sascha L. Schmidt, Alexander Liebhart and Sarah Abbott

In 2024, FC Bayern Munich superstar Thomas Müller announced his retirement from German national football. His contract with Bayern Munich runs through the end of the 2024-25 season. In 2025, Müller reflects on his long career in football, on the skills that have driven... View Details

Keywords: Soccer; Football; Data Science And Analytics Management; Bundesliga; Sports Data; ＂Sports Organizations,; Career Changes And Transitions; Career Management; Retirement Transition; Skills Development; Analysis; Competency and Skills; Decision Making; Performance; Personal Development and Career; Retirement; Transition; Sports Industry; Germany

July 2023 (Revised July 2023)
Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins

Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details

Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value

Research Summary

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

January 2022
Article

Artificial Intelligence, Data-Driven Learning, and the Decentralized Structure of Platform Ecosystems

By: David R. Clough and Andy Wu

Gregory, Henfridsson, Kaganer, and Kyriakou (2020) highlight the important role of data and AI as strategic resources that platforms may use to enhance user value. However, their article overlooks a significant conceptual distinction: the installed base of... View Details

Keywords: Artificial Intelligence; Data Strategy; Ecosystem; Value Capture; Digital Platforms; Analytics and Data Science; Strategy; Learning; Value Creation; AI and Machine Learning; Technology Industry; Information Technology Industry; Video Game Industry; Advertising Industry

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September 2020 (Revised July 2022)
Exercise

Artea (D): Discrimination through Algorithmic Bias in Targeting

By: Eva Ascarza and Ayelet Israeli

This collection of exercises aims to teach students about 1)Targeting Policies; and 2)Algorithmic bias in marketing—implications, causes, and possible solutions. Part (A) focuses on A/B testing analysis and targeting. Parts (B),(C),(D) Introduce algorithmic bias. The... View Details

Keywords: Targeted Advertising; Discrimination; Algorithmic Data; Bias; Advertising; Race; Gender; Marketing; Diversity; Customer Relationship Management; Prejudice and Bias; Analytics and Data Science; Retail Industry; Apparel and Accessories Industry; Technology Industry; United States

Article

Uninformed Consent

By: Leslie K. John

Companies want access to more and more of your personal data—from where you are to what’s in your DNA. Can they unlock its value while respecting consumers’ privacy? View Details

Keywords: Personal Data; Privacy; Customers; Analytics and Data Science; Ethics; Governing Rules, Regulations, and Reforms

July 16, 2015
Article

How Small Businesses Can Fend Off Hackers

By: Lou Shipley

If you wanted to hack a business, which one would you pick: A Fortune 500 company with a large digital-security budget and a team dedicated to protecting its cyberassets? Or a small enterprise that doesn’t employ a single IT security specialist? Security breaches at... View Details

Keywords: Hack; Data Security; Small Business; Analytics and Data Science; Safety; Information Technology; Cybersecurity

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March 2022 (Revised January 2025)
Technical Note

Linear Regression

By: Iavor I. Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of linear regression for an introductory data science course. It begins with a discussion of correlation, and explains why correlation does not necessarily imply causation. The note then describes the method of least squares, and how to... View Details

Keywords: Data Science; Linear Regression; Mathematical Modeling; Mathematical Methods; Analytics and Data Science

August 2018 (Revised April 2019)
Supplement

Chateau Winery (B): Supervised Learning

By: Srikant M. Datar and Caitlin N. Bowler

This case builds directly on “Chateau Winery (A).” In this case, Bill Booth, marketing manager of a regional wine distributor, shifts to supervised learning techniques to try to predict which deals he should offer to customers based on the purchasing behavior of those... View Details

Keywords: Data Science; Clustering; Analytics and Data Science; Customers; Marketing; Analysis

March 2019
Case

HOPI: Turkey's Shopping Companion

By: Sunil Gupta, Donald Ngwe and Gamze Yucaoglu

The case opens in 2017 as Onur Erbay, CEO of HOPI, a multi-vendor loyalty platform, is contemplating a critical decision. The case chronicles the origins of Boyner Group, the parent company of HOPI and a major retailer in Turkey, and development of retail and customer... View Details

Keywords: Loyalty Programs; Multi-vendor Platform; Retail; Big Data; Customer Relationship Management; Mobile and Wireless Technology; Business Model; Analytics and Data Science; Competitive Strategy; Decision Making; Applications and Software; Digital Platforms; Technology Industry; Retail Industry; Turkey

June 2022 (Revised January 2025)
Technical Note

Causal Inference

By: Iavor I Bojinov, Michael Parzen and Paul Hamilton

This note provides an overview of causal inference for an introductory data science course. First, the note discusses observational studies and confounding variables. Next the note describes how randomized experiments can be used to account for the effect of... View Details

Keywords: Causal Inference; Causality; Experiment; Experimental Design; Data Science; Analytics and Data Science

March 2019 (Revised July 2020)
Case

MoviePass: The 'Get Big Fast' Strategy

By: Benjamin C. Esty and Daniel W. Fisher

In August 2017, MoviePass dramatically lowered its subscription price from $50 per month to just $10 for up to one movie per day. The idea was to rapidly scale the business to the point where they could generate incremental revenue streams from related businesses... View Details

Keywords: Market Entry; Growth Strategy; Profit Vs. Growth; Subscription Business; Cash Burn; Data Analytics; Get-big-fast; Buyer Power; Strategy Implementation; Movie Industry; Racing; Entrepreneurship; Market Entry and Exit; Growth and Development Strategy; Business Strategy; Value Creation; Disruption; Motion Pictures and Video Industry; United States

August 2013 (Revised August 2014)
Case

Catalina In the Digital Age

By: Robert J. Dolan and Uma R. Karmarkar

Catalina in the Digital Age considers how a company with a dominant market position should evolve its established product lines given the rise of novel digital technologies. Since its founding in 1983, Catalina had enjoyed a distinct position in the world of consumer... View Details

Keywords: Big Data; Digital Technologies; Marketing; Customer Relationship Management; Consumer Behavior; Analytics and Data Science

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