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June 2015
Supplement

Generating Higher Value at IBM (A): EPS Forecasting Model

By: Benjamin C. Esty and Scott Mayfield

This case analyzes IBM's financial performance and its capital allocation decisions over a 10-year period from 2004-2013, during which IBM returned more than $140B to shareholders through a combination of dividends and share repurchases. During this time, CEO Sam... View Details

Keywords: Dividends; Share Repurchases; Earnings Guidance; Financial Statement Analysis; Financial Ratios; Payout Policy; Earnings Per Share (EPS); Earnings Management; Change Management; Leadership; Transformation; Financial Strategy

2024
Working Paper

Scaling Core Earnings Measurement with Large Language Models

By: Matthew Shaffer and Charles CY Wang

We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details

Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics

2025
Working Paper

Generative AI Use by Capital Market Information Intermediaries: Evidence from Seeking Alpha

By: Mark Bradshaw, Chenyang Ma, Benjamin Yost and Yuan Zou

We study the use of generative AI for firm-specific financial analysis on the Seeking Alpha platform. We find that, after the initial launch of ChatGPT in November 2022, the share of AI-generated articles rose sharply to 13.4% of all articles, then declined in late... View Details

Keywords: Generative Ai; Seeking Alpha; Equity Research; Large Language Models; Gpt; AI and Machine Learning; Information Publishing; Financial Markets

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; Biotechnology Industry; Pharmaceutical Industry; Technology Industry; Health Industry; Medical Devices and Supplies Industry; United States

June 2025
Article

Ideation with Generative AI—In Consumer Research and Beyond

By: Julian De Freitas, G. Nave and Stefano Puntoni

The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more. However, their role in creative ideation—a cornerstone of consumer research—remains underexplored. Drawing... View Details

Keywords: Large Language Model; AI and Machine Learning; Creativity; Innovation Strategy

Article

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability

By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju

As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by... View Details

Keywords: Black Box Explanations; Bayesian Modeling; Decision Making; Risk and Uncertainty; Information Technology

January 2016 (Revised November 2018)
Case

Match Next: Next Generation Middle School?

By: John J-H Kim and Daniel Goldberg

This case is set in 2015 as a team at Match Education, a high performing charter middle school in Boston, explores new staffing and technology approaches in their quest to obtain what they term "jaw dropping" results. The team hopes to test and model for other schools... View Details

Keywords: General Management; K-12; Charter Schools; Public Schools; Edtech; Education; Information Technology; Management; Public Sector; Entrepreneurship; Education Industry; Boston

Article

Faithful and Customizable Explanations of Black Box Models

By: Himabindu Lakkaraju, Ece Kamar, Rich Caruana and Jure Leskovec

As predictive models increasingly assist human experts (e.g., doctors) in day-to-day decision making, it is crucial for experts to be able to explore and understand how such models behave in different feature subspaces in order to know if and when to trust them. To... View Details

Keywords: Interpretable Machine Learning; Black Box Models; Decision Making; Framework

2024
Conference Paper

Quantifying Uncertainty in Natural Language Explanations of Large Language Models

By: Himabindu Lakkaraju, Sree Harsha Tanneru and Chirag Agarwal

Large Language Models (LLMs) are increasingly used as powerful tools for several high-stakes natural language processing (NLP) applications. Recent prompting works claim to elicit intermediate reasoning steps and key tokens that serve as proxy explanations for LLM... View Details

Keywords: Large Language Model; AI and Machine Learning

April 2000
Teaching Note

Patient Care Delivery Model at the Massachusetts General Hospital, The TN

By: Amy C. Edmondson, Richard M.J. Bohmer and Emily Heaphy

Teaching Note for (9-699-154). View Details

Keywords: Health Industry; Service Industry; Massachusetts

2022
Working Paper

TalkToModel: Explaining Machine Learning Models with Interactive Natural Language Conversations

By: Dylan Slack, Satyapriya Krishna, Himabindu Lakkaraju and Sameer Singh

Practitioners increasingly use machine learning (ML) models, yet they have become more complex and harder to understand. To address this issue, researchers have proposed techniques to explain model predictions. However, practitioners struggle to use explainability... View Details

Keywords: Natural Language Conversations; Predictive Models; AI and Machine Learning

2023
Article

Benchmarking Large Language Models on CMExam—A Comprehensive Chinese Medical Exam Dataset

By: Junling Liu, Peilin Zhou, Yining Hua, Dading Chong, Zhongyu Tian, Andrew Liu, Helin Wang, Chenyu You, Zhenhua Guo, Lei Zhu and Michael Lingzhi Li

Recent advancements in large language models (LLMs) have transformed the field of question answering (QA). However, evaluating LLMs in the medical field is challenging due to the lack of standardized and comprehensive datasets. To address this gap, we introduce CMExam,... View Details

Keywords: Large Language Model; AI and Machine Learning; Analytics and Data Science; Health Industry

November–December 2023
Article

Keep Your AI Projects on Track

By: Iavor Bojinov

AI—and especially its newest star, generative AI—is today a central theme in corporate boardrooms, leadership discussions, and casual exchanges among employees eager to supercharge their productivity. Sadly, beneath the aspirational headlines and tantalizing potential... View Details

Keywords: Generative Models; AI and Machine Learning; Success; Failure; Product Development; Technology Adoption

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1971
Working Paper

A Simple General Equilibrium Model of the Term Structure of Interest Rates

By: Jerry R. Green

2015
Chapter

Reliable Sustainability Ratings: The Influence of Business Models on Information Intermediaries

By: Robert G. Eccles, Jock Herron and George Serafeim

A new generation of corporate reporting—integrated reporting—is emerging that will help investors and other key stakeholders such as employees, customers, suppliers, and NGOs develop a deeper and more comprehensive appreciation of corporate performance than what is... View Details

Keywords: Sustainability; Business Models; Business Model

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May 2007 (Revised November 2019)
Case

Dollar General (A)

By: Willy Shih, Stephen P. Kaufman and Rebecca McKillican

Dollar General Corporation (DG) operates one of the leading chains of extreme value retailers in the United States. 2006 revenues reached $9.2 billion, making DG the 6th largest mass retailer in the country. With revenues growing at 9% annually over the five-year... View Details

Keywords: Business Model; Family Business; Disruptive Innovation; Growth and Development Strategy; Competitive Advantage; Retail Industry; United States

2024
Working Paper

The Narrative AI Advantage? A Field Experiment on Generative AI-Augmented Evaluations of Early-Stage Innovations

By: Jacqueline N. Lane, Léonard Boussioux, Charles Ayoubi, Ying Hao Chen, Camila Lin, Rebecca Spens, Pooja Wagh and Pei-Hsin Wang

The rise of generative artificial intelligence (AI) is transforming creative problem-solving, necessitating new approaches for evaluating innovative solutions. This study explores how human-AI collaboration can enhance early-stage evaluations, focusing on the interplay... View Details

Keywords: Large Language Models; AI and Machine Learning; Innovation and Invention; Decision Making

December 7, 2016
Article

Is Your Client’s Generational Transition Stuck?: How Changing the Ownership Model Can Create Traction

Keywords: Family Ownership; Organizational Structure; Management Succession; Transition

July 2006
Article

Dynamic Mixed Duopoly: A Model Motivated by Linux vs. Windows

By: Ramon Casadesus-Masanell and Pankaj Ghemawat

This paper analyzes a dynamic mixed duopoly in which a profit-maximizing competitor interacts with a competitor that prices at zero (or marginal cost), with the cumulation of output affecting their relative positions over time. The modeling effort is motivated by... View Details

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2017
Working Paper

Knowledge Flows within Multinationals—Estimating Relative Influence of Headquarters and Host Context Using a Gravity Model

By: Prithwiraj Choudhury, Mike Horia Teodorescu and Tarun Khanna

From the perspective of a multinational subsidiary, we employ the classic gravity equation in economics to model and compare knowledge flows to the subsidiary from the MNC headquarters and from the host country context. We also generalize traditional economics gravity... View Details

Keywords: Multinationals; Knowledge Flows; Cosine Similarity; Gravity Model; Multinational Firms and Management; Knowledge Dissemination; Business Headquarters; Immigration

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