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17 Feb 2016
Research & Ideas

Man vs. Machine: Which Makes Better Hires?

popular in the 1950s and ’60s as a way of sifting through bulging applicant pools. After researchers questioned its reliability, testing fell out of use in favor of personal interviews. Now, with the emergence of big data, View Details

Keywords: by Michael Blanding; Employment

2023
Working Paper

Auditing Predictive Models for Intersectional Biases

By: Kate S. Boxer, Edward McFowland III and Daniel B. Neill

Predictive models that satisfy group fairness criteria in aggregate for members of a protected class, but do not guarantee subgroup fairness, could produce biased predictions for individuals at the intersection of two or more protected classes. To address this risk, we... View Details

Keywords: Predictive Models; Bias; AI and Machine Learning

November 1992 (Revised December 1992)
Case

Deere & Co. (A): The Computer Aided Manufacturing Services Division - A Window to the World (Abridged)

By: Robert H. Hayes

The Computer-Aided Manufacturing (CAM) Services Division of John Deere has just received approval to sell their software and computer systems to external customers. These tools, initially developed for internal use, have been widely used throughout Deere. Still,... View Details

Keywords: Information Infrastructure; Applications and Software; Machinery and Machining; Technological Innovation; Markets; Marketing Strategy; Product Launch; Outcome or Result; Computer Industry; Manufacturing Industry

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November 1991 (Revised December 1996)
Case

Pressco, Inc.--1985

By: William E. Fruhan Jr.

A capital budgeting problem is viewed from the context of a marketing representative attempting to make a sale of energy saving heavy industrial equipment. Tax law changes promise to have a significant impact on the customer's decision process. Teaching purpose: To... View Details

Keywords: Capital Budgeting; Machinery and Machining; Valuation; Taxation; Customer Value and Value Chain; Cost vs Benefits; Inflation and Deflation; Cost Management; Product Marketing; North and Central America

November–December 2024
Article

Outcome-Driven Dynamic Refugee Assignment with Allocation Balancing

By: Kirk Bansak and Elisabeth Paulson

This study proposes two new dynamic assignment algorithms to match refugees and asylum seekers to geographic localities within a host country. The first, currently implemented in a multi-year pilot in Switzerland, seeks to maximize the average predicted employment... View Details

Keywords: AI and Machine Learning; Refugees; Geographic Location; Employment

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July 2011 (Revised September 2012)
Case

Industrial Metrology: Getting In-Line? (A)

Metrology plays a key role in the manufacture of mechanical components. Traditionally it is used extensively in a pre-process stage where a manufacturer does process planning, design, and ramp-up, and in post-process off-line inspection to establish proof of quality.... View Details

Keywords: Transformation; Machinery and Machining; Measurement and Metrics; Product Design; Planning; Quality; Opportunities; Competitive Strategy; Diversification; Segmentation; Technology Adoption; Theory; Manufacturing Industry

January 2025
Case

Ontra: Embracing GenAI in the Legal Technology Industry

By: Christopher Stanton and George Gonzalez

Ontra built a network of legal professionals to enable financial institutions to outsource contract negotiations. The rise of generative AI inspired the company to build software solutions to streamline its processes through automation. Now company leadership must... View Details

Keywords: Transformation; AI and Machine Learning; Applications and Software; Organizational Change and Adaptation; Organizational Culture; Business Strategy; Technology Industry; Legal Services Industry; United States

March 2025
Article

Novice Risk Work: How Juniors Coaching Seniors on Emerging Technologies Such as Generative AI Can Lead to Learning Failures

By: Katherine C. Kellogg, Hila Lifshitz-Assaf, Steven Randazzo, Ethan Mollick, Fabrizio Dell'Acqua, Edward McFowland III, François Candelon and Karim R. Lakhani

The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals. It notes that juniors may be better able... View Details

Keywords: Rank and Position; Competency and Skills; Technology Adoption; Experience and Expertise; AI and Machine Learning

2025
Working Paper

Is Love Blind? AI-Powered Trading with Emotional Dividends

By: De-Rong Kong and Daniel Rabetti

We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details

Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets

July 2024 (Revised December 2024)
Case

Compass Ethics: Governing Through Ethical Principles at WeCorp Industries

By: Elisabeth Kempf and Jesse M. Shapiro

Andrew Hill is Chief Information Officer at WeCorp, a UK-based defense technology startup specializing in drone technology. WeCorp faces decisions about international licensing and AI integration in its drones. In partnership with Compass Ethics, Hill aims to establish... View Details

Keywords: Business Startups; Decision Making; Ethics; Entrepreneurial Finance; AI and Machine Learning; Technology Industry; United Kingdom

May 2022
Supplement

Borusan CAT: Monetizing Prediction in the Age of AI (B)

By: Navid Mojir and Gamze Yucaoglu

Borusan Cat is an international distributor of Caterpillar heavy machines. In 2021, it had been three years since Ozgur Gunaydin (CEO) and Esra Durgun (Director of Strategy, Digitization, and Innovation) started working on Muneccim, the company’s predictive AI tool.... View Details

Keywords: AI and Machine Learning; Commercialization; Technology Adoption; Industrial Products Industry; Turkey; Middle East

26 Apr 2020
Other Presentation

Towards Modeling the Variability of Human Attention

By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber

Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes... View Details

Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning

October 2023 (Revised January 2025)
Case

Sydney Loves Kevin

By: Ryan W. Buell and Himabindu Lakkaraju

Kevin Roose was a columnist and podcast host for the New York Times, who focused on technology and its effects on society. When Microsoft launched the latest version of its search engine Bing in February 2023, the company invited Roose to its Redmond campus to... View Details

Keywords: Newspapers; AI and Machine Learning; Technology Adoption; Technological Innovation; Perspective; Media and Broadcasting Industry; Media and Broadcasting Industry

June 12, 2023
Article

How AI Will Accelerate the Circular Economy

By: Shirley Lu and George Serafeim

Despite living on a planet with finite resources, our economy remains largely linear and full of single-use products. The shift toward a circular economy, where companies recover or recycle resources, has hit roadblocks, including low value of used products and high... View Details

Keywords: Recycling; Materials Management; Innovation and Management; Technological Innovation; Climate Change; Environmental Sustainability; AI and Machine Learning; Operations; Industrial Products Industry; Consumer Products Industry; Technology Industry

August 2024 (Revised March 2025)
Case

DBS' AI Journey

By: Feng Zhu, Harold Zhu and Adina Wong

Headquartered in Singapore, DBS Bank, one of Asia's leading financial services groups, embarked on a multi-year digital transformation under CEO Piyush Gupta in 2014. It was then that DBS also began experimenting with AI to drive value for the business and customers.... View Details

Keywords: Corporate Governance; AI and Machine Learning; Digital Transformation; Risk Management; Value Creation; Banking Industry; Financial Services Industry; Asia; Singapore

March 2024
Simulation

'Storrowed'

By: Mitchell Weiss

The game was built to accompany "Storrowed": A Generative AI Exercise, available through Harvard Business Publishing. The game adds a timing element to "Storrowed" and enables the teacher to reward teams for strong prompts or penalize teams for believing AI... View Details

Keywords: AI and Machine Learning; Decision Choices and Conditions; Risk and Uncertainty

March 2024
Exercise

'Storrowed': A Generative AI Exercise

By: Mitchell Weiss

"Storrowed" is an exercise to help participants raise their capacity and curiosity for generative AI. It focuses on generative AI for problem understanding and ideation, but can be adapted for use more broadly. Participants use generative AI tools to understand a... View Details

Keywords: AI and Machine Learning; Problems and Challenges

2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods

July 1990
Case

Ceramics Process Systems Corp. (B)

By: Kim B. Clark and Brent D. Barnett

Ceramics Process Systems (CPS) is an advanced ceramics company facing problems with lead time in product/process development, and late delivery of prototype parts to its customers. Engineering is confronted with difficult technical problems and multiple objectives... View Details

Keywords: Product Development; Business Processes; Management Practices and Processes; Supply Chain Management; Machinery and Machining; Goals and Objectives; Resource Allocation; Customer Satisfaction; Customer Value and Value Chain; Manufacturing Industry

2025
Book

The Experimentation Machine: Finding Product–Market Fit in the Age of AI

By: Jeffrey J. Bussgang

Leverage AI to be a 10x Founder

Today’s most successful founders know that the startups that learn the fastest will win. In The Experimentation Machine, I reveal how AI is transforming the way startups find product-market fit and scale.... View Details

Keywords: AI; Founder; Startup; AI and Machine Learning; Technology Adoption; Business Startups; Entrepreneurship; Market Entry and Exit

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