Publications

January 2014 (Revised December 2014)
Case

GenapSys: Business Models for the Genome

By: Richard G. Hamermesh, Joseph B. Fuller and Matthew Preble

GenapSys, a California-based startup, was soon to release a new DNA sequencer that the company's founder, Hesaam Esfandyarpour, believed was truly revolutionary. The sequencer would be substantially less expensive—potentially costing just a few thousand dollars—and... View Details

Keywords: DNA Sequencing; Life Sciences; Business Model; Innovation ＆ Entrepreneurship; Health Care and Treatment; Genetics; Business Strategy; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; Medical Devices and Supplies Industry; United States

26 Oct 2020
News

Great promise but potential for peril

May 2024
Teaching Note

AI Wars

By: Andy Wu and Matt Higgins

Teaching Note for HBS Case No. 723-434. In 2024, the world was looking to Google to see what the search giant and long-time putative technical leader in artificial intelligence (AI) would do to compete in the massively hyped technology of generative AI popularized over... View Details

Keywords: AI; Trends; AI and Machine Learning; Public Opinion; Technological Innovation; Competitive Advantage; Technology Industry

March 2025
Case

Niramai: An AI Solution to Save Lives

By: Rembrand Koning, Maria P. Roche and Kairavi Dey

Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details

Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Technology Industry; Health Industry; Asia; India; South Asia

July 9, 2019
Article

Setting Better Sales Goals with Analytics

By: Doug J. Chung, Isabel Huber, Vinay Murthy, Varun Sunku and Marije Weber

Sales compensation is a critical lever in motivating a salesforce and driving growth in the business-to-business sector: Studies show that revising compensation in line with market trends can have a 50% greater impact on sales than advertisements have, for instance. A... View Details

Keywords: Analytics; Salesforce Management; Compensation and Benefits; Motivation and Incentives; Goals and Objectives

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Publications - Faculty & Research

Keywords: Diagnostics ; Organization Design ; Change Management ; Disruption ; Transformation ; Health Care and Treatment ; AI and Machine Learning ; Technological Innovation ;... View Details

July 2018 (Revised January 2019)
Teaching Note

MC Tool

By: Richard S. Ruback, Royce Yudkoff and Ahron Rosenfeld

Sean Witty and Jason Premo acquired MC Tool, a machine shop located in South Carolina in 2007 with the intent to transform it into a precision manufacturer. Witty and Premo were able to more than double revenue to $6 million in their first year of managing MC by... View Details

Keywords: Small ＆ Medium-sized Enterprises; Small Business; Production; Transformation; Problems and Challenges; Financial Condition; Business Strategy; Manufacturing Industry; United States

October 1992 (Revised June 2001)
Case

Stermon Mills Incorporated

A paper company is unable to compete on cost as a result of the installation of three very efficient paper machines by competitors. Prices for its products are falling by the day, and the company is making a loss. In the face of such competition, management feels that... View Details

Keywords: Organizational Change and Adaptation; Competition; Production; Pulp and Paper Industry

June 2023
Article

When Does Uncertainty Matter? Understanding the Impact of Predictive Uncertainty in ML Assisted Decision Making

By: Sean McGrath, Parth Mehta, Alexandra Zytek, Isaac Lage and Himabindu Lakkaraju

As machine learning (ML) models are increasingly being employed to assist human decision makers, it becomes critical to provide these decision makers with relevant inputs which can help them decide if and how to incorporate model predictions into their decision... View Details

Keywords: AI and Machine Learning; Decision Making

2024
Article

Learning Under Random Distributional Shifts

By: Kirk Bansak, Elisabeth Paulson and Dominik Rothenhäusler

Algorithmic assignment of refugees and asylum seekers to locations within host countries has gained attention in recent years, with implementations in the U.S. and Switzerland. These approaches use data on past arrivals to generate machine learning models that can... View Details

Keywords: AI and Machine Learning; Refugees; Employment

Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks

By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez

Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details

Research Summary

Overview

By: Srikant M. Datar

Professor Datar has several research and course development interests. His initial areas of research interest were in cost management and management control, strategy implementation and governance. Over the last few years his areas of interest are management education,... View Details

Article

The Pitfalls of Pricing Algorithms: Be Mindful of How They Can Hurt Your Brand

By: Marco Bertini and Oded Koenigsberg

More and more companies are relying on pricing algorithms to maximize profits. The use of artificial intelligence and machine learning enables real-time price adjustments based on supply and demand, competitors’ activities, delivery schedules, and so forth. But... View Details

Keywords: Algorithmic Pricing; Dynamic Pricing; Price; Change; Information Technology; Brands and Branding; Perception; Consumer Behavior

Find at Harvard

TeachingInterests

Transforming Education through Social Entrepreneurship

By: John Jong-Hyun Kim

This course is designed for students who want to understand the central role that education plays in our economy and society and who may want to play an active role (e.g., as entrepreneur, board member, etc.) in shaping the future workforce, bringing about a more... View Details

Program

Competing in the Age of AI—Virtual

will delve into diverse applications of AI, machine learning, predictive modeling, and data science; explore network effects and platform strategies; View Details

Forthcoming
Article

An AI Method to Score Celebrity Visual Potential from Human Faces

By: Flora Feng, Shunyuan Zhang, Xiao Liu, Kannan Srinivasan and Cait Lamberton

It has long been a mantra of marketing practice that, particularly in low-involvement situations, spokespeople should be physically attractive. This paper suggests there is a higher probability of gaining fame and influence (i.e., celebrity potential) than is captured... View Details

Keywords: Personal Characteristics; AI and Machine Learning; Forecasting and Prediction; Marketing

September 6, 2022
Article

Creating a Platform for Costless Personalization in Clothing

By: Shane Greenstein

This study analyzes the role of co-invention in the creation of a platform for print-on-demand-clothing, or PODC. Co-invention is the invention of a new business process to complement new technology, and turn it into a valuable commercial service. PODC copies a design... View Details

Keywords: Print-on-demand-clothing; Customization and Personalization; Digital Platforms; Apparel and Accessories Industry

May 1993 (Revised January 1994)
Case

Cummins Engine Company, The: Starting Up "B" Crankshaft Manufacturing at the San Luis Potosi Plant

By: Robert H. Hayes

Cummins Engine Co. is starting up production of diesel engine crankshafts in its plant in central Mexico. This operation requires much tighter tolerances than any product previously produced at the plant, and the young (recent MBA) manager who is in charge of the... View Details

Keywords: Decision Choices and Conditions; Production; Cross-Cultural and Cross-Border Issues; Emerging Markets; Problems and Challenges; Industrial Products Industry; Mexico; Alabama