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December 2020
Case

VIA Science (A)

By: Juan Alcácer, Rembrand Koning, Annelena Lobb and Kerry Herman

Via (a) captures the early days of the data analytics startup as founders Gounden and Ravanis considered which markets offer the right opportunities for their firm and what kinds of experiments will help them narrow their choice. Supplement Via (b) reveals the... View Details

Keywords: Data Analytics; Machine Learning; Artificial Intelligence; Strategy; Business Startups; Markets; AI and Machine Learning; Telecommunications Industry; Utilities Industry; United States; Japan

Article

National Trends in the Safety Performance of Electronic Health Record Systems From 2009 to 2018

By: David Classen, A Jay Holmgren, Zoe Co, Lisa Newmark, Diane Seger, Melissa Danforth and David Bates

Importance Despite the broad adoption of electronic health record (EHR) systems across the continuum of care, safety problems persist. Objective To measure the safety performance of operational EHRs in hospitals across the country during a 10-year period. Design,... View Details

Keywords: Electronic Health Record Systems; Health Care and Treatment; Information Technology; Performance; Safety; Measurement and Metrics; United States

2015
Case

Advanced Leadership Pathways: Beatriz Cardoso and Education in Brazil

By: Rosabeth M. Kanter, Daniella Suarez and Ai-Ling Jamila Malone

Beatriz Cardoso, founder of Laboratório de Educação (Education Laboratory) had a dream to propel Brazilian education. However, challenges in fundraising made it difficult to scale up her project, based on helping adults help children improve their literacy skills. To... View Details

Keywords: Social Enterprise; Education; Business Startups; Information Technology; Leading Change; Brazil

February 2019 (Revised September 2019)
Case

Amazon in Fashion

By: John R. Wells, Benjamin Weinstock and Gabriel Ellsworth

According to many analysts and industry observers, in 2018 Amazon became the largest retailer of apparel in the United States and the second largest in the world, behind Alibaba. Much of Amazon’s apparel was made by third-party retailers on its platform, but Amazon had... View Details

2016
Working Paper

Big History, Global Corporations, Virtual Capitalism

By: Richard L. Nolan

Homo sapiens has mastered its environment so thoroughly that, for the first time in history, a small minority of the population is capable of creating enough food and fuels to support not only itself, but also a growing majority of the 6 billion people now living on... View Details

Keywords: Economic Systems; Internet and the Web; Innovation and Invention; United States

June 2005
Case

CarMax

By: Rajiv Lal and David Kiron

Carmax is the largest multi-market used car dealer in the U.S., and has no format-to-format competitor in the $375 billion used car market. CarMax is trying to do what some analysts believed to be impossible: sell used cars profitably on a national scale, and at the... View Details

Keywords: Profit; Brands and Branding; Digital Platforms; Segmentation; Auto Industry

October 1987 (Revised March 1992)
Case

United Parcel Service (A)

United Parcel Service (UPS) in 1987 faced serious challenges to its long-standing policies of on-the-job training and promotion from within. Increased competition in its traditional business of ground transport found UPS lagging in computerization and in need of... View Details

Keywords: Organizational Change and Adaptation; Information Technology; Organizational Culture; Human Resources; Service Industry; United States

22 Oct 2014
News

Preparing middle school students for the opportunities that lie ahead

Kim Frock (MBA 1987) helped launch the Alternative School for Math & Science in Corning, New York, a middle school for science, technology, engineering, and math to give young students the skills they need to contribute to society. In this video, she explains the... View Details

01 Dec 2008
News

A Force for Good

in particular, received steady, low-key infusions of technology and volunteer time — spearheaded by faculty members like Jim Cash, but backed steadfastly by the Dean’s Office. “But John didn’t want the newspaper story,” Menino emphasizes.... View Details

Keywords: Jeffrey L. Cruikshank; Information; Information; Information; Information; Information; Information; Information; Information; Information; Information; Information; Information

March 27, 2025
Article

How One Company Used AI to Broaden Its Customer Base

By: Sunil Gupta and Frank V. Cespedes

The software company SAP successfully leveraged AI tools to begin selling to the small and medium enterprises (SMEs) market, which had previously been uneconomical for its in-person sales approach. By mapping the customer journey and deploying over 40 AI tools, SAP... View Details

Keywords: AI and Machine Learning; Sales; Business Strategy; Market Entry and Exit

2024
Working Paper

The Wade Test: Generative AI and CEO Communication

By: Prithwiraj Choudhury, Bart S. Vanneste and Amirhossein Zohrehvand

Can generative artificial intelligence (Gen-AI) transform the role of the CEO? This study investigates whether Gen-AI can mimic a human CEO and whether employees display aversion to Gen-AI communication. We present a framework of Gen-AI aversion that distinguishes... View Details

Keywords: Business or Company Management; AI and Machine Learning; Perception; Communication

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

2025
Working Paper

Algorithmic Assortment Curation: An Empirical Study of Buybox in Online Marketplaces

By: Santiago Gallino, Nil Karacaoglu and Antonio Moreno

Most online sales worldwide take place in marketplaces that connect sellers and buyers. The presence of numerous third-party sellers leads to a proliferation of listings for each product, making it difficult for customers to choose between the available options. Online... View Details

Keywords: Algorithms; E-commerce; Sales; Digital Marketing; Internet and the Web; Customer Satisfaction

2023
Article

Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse

By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju

As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Mathematical Methods

2022
Working Paper

Getting on the Map: The Impact of Online Listings on Business Performance

By: Michael Luca, Abhishek Nagaraj and Gauri Subramani

We evaluate the extent to which small businesses maintain an online presence, looking at restaurant listings on a major online review platform. While the majority of restaurants have an online presence, we find that roughly 18 percent in our sample have no presence as... View Details

Keywords: Small Business; Internet and the Web; Revenue; Digital Marketing; Food and Beverage Industry

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March 2021
Supplement

Applied: Using Behavioral Science to Debias Hiring (B)

By: Ashley Whillans and Jeff Polzer

At the end of 2018, Applied faced questions of stakeholder management and scale. Glazebrook wanted clients to get rid of CVs altogether. To do this, they would have to help hiring managers and recruiters easily build task-based assessments of the skills that their... View Details

Keywords: Hiring; Bias; Behavioral Science; Selection and Staffing; Prejudice and Bias; Information Technology; Competency and Skills

August 2018 (Revised September 2018)
Supplement

Predicting Purchasing Behavior at PriceMart (B)

By: Srikant M. Datar and Caitlin N. Bowler

Supplements the (A) case. In this case, Wehunt and Morse are concerned about the logistic regression model overfitting to the training data, so they explore two methods for reducing the sensitivity of the model to the data by regularizing the coefficients of the... View Details

Keywords: Data Science; Analytics and Data Science; Analysis; Customers; Household; Forecasting and Prediction

November–December 2018
Article

Online Network Revenue Management Using Thompson Sampling

By: Kris J. Ferreira, David Simchi-Levi and He Wang

We consider a network revenue management problem where an online retailer aims to maximize revenue from multiple products with limited inventory constraints. As common in practice, the retailer does not know the consumer's purchase probability at each price and must... View Details

Keywords: Online Marketing; Revenue Management; Revenue; Management; Marketing; Internet and the Web; Price; Mathematical Methods

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January 2014
Teaching Note

Dumb Ways To Die: Advertising Train Safety (A), (B) & (C)

By: John Quelch

Keywords: Advertising Media; Viral Advertising; Viral Marketing; Public Safety; Advertising; Marketing; Marketing Strategy; Internet and the Web; Digital Marketing; Media and Broadcasting Industry; Public Administration Industry; Oceania; Europe

Summer 2021
Article

The Cost and Evolution of Quality at Cipla Ltd, 1935–2016

By: Muhammad H. Zaman and Tarun Khanna

This article examines the evolution of Indian pharmaceutical manufacturer Cipla towards producing drugs that met the quality standards of European and U.S. regulators. It employs new research in Cipla’s corporate archives, the Creating Emerging Markets database, and... View Details

Keywords: Cipla; Pharmaceuticals; Drug Quality; Generics; Quality; Standards; Information Technology; Cost; Organizational Culture; Business History; Pharmaceutical Industry; India

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