Publications

December 1992 (Revised May 1993)
Case

Porsche AG

By: Robert S. Kaplan

Describes the financial management of the research and development departments of an automobile manufacturer and technology supplier. Existing cost systems measure accurately the costs incurred by department and by project. But little formal information is provided... View Details

Keywords: Financial Management; Cost Accounting; Research and Development; Machinery and Machining; Auto Industry; Technology Industry

Find at Harvard

20 Aug 2013
First Look

First Look: August 20

Buildings By: Herron, J., Amy C. Edmondson, and Robert G. Eccles, Jr. Abstract—Buildings are the nation's greatest energy consumers. Forty percent of all our energy is used for heating, cooling, lighting, and powering View Details

Keywords: Anna Secino

June 2013 (Revised November 2022)
Exercise

Competition Simulator Exercise

By: Eric J. Van den Steen

In the Competition Simulator Exercise, students explore through trial and error some important economic foundations of competitive strategy and managerial economics. In particular, the nine simulator exercises let students explore horizontal differentiation with and... View Details

Keywords: Competition; Economics; Game Theory; Competitive Strategy; Learning; Mathematical Methods; Analysis

April 1970 (Revised December 1983)
Case

Norton Co. (A)

Introduces the "Norton Plan" designed to halt Norton's declining share of the grinding wheel market. View Details

Keywords: Machinery and Machining; Competitive Strategy; Sales; Manufacturing Industry; Industrial Products Industry

Educators

2024
Working Paper

Why Most Resist AI Companions

By: Julian De Freitas, Zeliha Oğuz-Uğuralp, Ahmet Kaan Uğuralp and Stefano Puntoni

Chatbots are now able to form emotional relationships with people and alleviate loneliness—a growing public health concern. Behavioral research provides little insight into whether everyday people are likely to use these applications and why. We address this question... View Details

Keywords: Generative Ai; Chatbots; Artificial Intelligence; Algorithmic Aversion; Lonelines; Technology Adoption; AI and Machine Learning; Well-being; Emotions

SSRN

January 2025
Article

Reducing Prejudice with Counter-stereotypical AI

By: Erik Hermann, Julian De Freitas and Stefano Puntoni

Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice. An approach informed by the psychology of... View Details

Keywords: Prejudice and Bias; AI and Machine Learning; Interpersonal Communication; Social and Collaborative Networks

13 Aug 2018
Blog Post

Following My Dream: Launching a Venture

Initially aiming to recruit 1-2 summer interns to support me in my endeavor, I ended up hiring an amazing and diverse team of six interns who are as excited about the idea as I am. Given my background in mechanical engineering, I was... View Details

Keywords: Entrepreneurship

12 Sep 2012
Research & Ideas

The Unexpected Link Between Cadavers and Careers

If you happen to be in need of human cadavers, you'll have more success targeting married nursery school teachers than, say, married cowboys or firefighters. That's essentially the implication of a new study... View Details

Keywords: by Carmen Nobel; Education; Health

September 2020
Case

True North: Pioneering Analytics, Algorithms and Artificial Intelligence

By: Karim R. Lakhani, Kairavi Dey and Hannah Mayer

True North was a private equity fund that specialized in the growth and buyout of mid-market, India-centric companies. The leadership team initially believed that technology was not core to traditional businesses and steered clear of new age technology-oriented... View Details

Keywords: Artificial Intelligence; Information Technology; Management; Operations; Organizations; Leadership; Innovation and Invention; Business Model; AI and Machine Learning; Computer Industry; Technology Industry

Educators

2023
Article

MoPe: Model Perturbation-based Privacy Attacks on Language Models

By: Marvin Li, Jason Wang, Jeffrey Wang and Seth Neel

Recent work has shown that Large Language Models (LLMs) can unintentionally leak sensitive information present in their training data. In this paper, we present Model Perturbations (MoPe), a new method to identify with high confidence if a given text is in the training... View Details

Keywords: Large Language Model; AI and Machine Learning; Cybersecurity

2023
Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju

One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details

Keywords: AI and Machine Learning; Mathematical Methods

30 Jun 2009
First Look

First Look: June 30

Baldwin, and Christopher L. Magee Abstract Hierarchy is a generic structure in which levels are asymmetrically ordered. In an industry setting, classic supply chains display strict hierarchy, whereas clusters of firms have linkages going... View Details

Keywords: Martha Lagace

15 Oct 2008
Working Paper Summaries

The Artful Dodger: Answering the Wrong Question the Right Way

Keywords: by Todd Rogers & Michael I. Norton

October 1991
Supplement

Philips' Compact Disc Introduction (B)

Updates students to 1982. Asks students to consider Philips' best strategy for investing in disc-pressing capacity dedicated to the United States market. The analysis draws on game theoretic techniques (in normal form with subgame perfection as the governing... View Details

Keywords: Technology; Competition; Game Theory; Technology Industry