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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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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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2018
Working Paper

Bayesian Ensembles of Binary-Event Forecasts: When Is It Appropriate to Extremize or Anti-Extremize?

By: Kenneth C. Lichtendahl Jr., Yael Grushka-Cockayne, Victor Richmond R. Jose and Robert L. Winkler

Many organizations face critical decisions that rely on forecasts of binary events. In these situations, organizations often gather forecasts from multiple experts or models and average those forecasts to produce a single aggregate forecast. Because the average... View Details

Keywords: Forecast Aggregation; Linear Opinion Pool; Generalized Additive Model; Generalized Linear Model; Stacking.; Forecasting and Prediction

January 2002 (Revised October 2005)
Case

General Electric Medical Systems 2002

By: Tarun Khanna and James Weber

Discusses one of General Electric's flagship divisions--the world's leading provider of medical diagnostic imaging equipment. Provides an opportunity to examine a multinational confronting massive technological and demographic changes around the world. Genomics has... View Details

Keywords: Information Technology; Business Model; Change Management; Multinational Firms and Management; Genetics; Customer Value and Value Chain; Age; Medical Devices and Supplies Industry; China; United States

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

January – February 2012
Article

When One Business Model Isn't Enough

By: Ramon Casadesus-Masanell and Jorge Tarzijan

Trying to operate two business models at once often causes strategic failure. Yet LAN Airlines, a Chilean carrier, runs three models successfully. Casadesus-Masanell, of Harvard Business School, and Tarziján, of the Pontificia Universidad Católica de Chile, explore how... View Details

Keywords: Integration; Failure; Business Model; Service Operations; Asset Management; Value; Complexity; Competency and Skills; Business Strategy; Management Analysis, Tools, and Techniques; Risk and Uncertainty; Customer Relationship Management; Air Transportation Industry

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January – February 2011
Article

How to Design a Winning Business Model

By: Ramon Casadesus-Masanell and Joan E. Ricart

Most executives believe that competing through business models is critical for success, but few have come to grips with how best to do so. One common mistake is enterprises' unwavering focus on creating innovative models and evaluating their efficacy in standalone... View Details

Keywords: Business Model; Design; Strength and Weakness; Competitive Strategy; Competitive Advantage

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July 2024
Article

Chatbots and Mental Health: Insights into the Safety of Generative AI

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

Chatbots are now able to engage in sophisticated conversations with consumers. Due to the ‘black box’ nature of the algorithms, it is impossible to predict in advance how these conversations will unfold. Behavioral research provides little insight into potential safety... View Details

Keywords: Autonomy; Chatbots; New Technology; Brand Crises; Mental Health; Large Language Model; AI and Machine Learning; Behavior; Well-being; Technological Innovation; Ethics

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2018
Working Paper

Semi-Parametric Estimation of Dynamic Discrete Choice Models

By: David Hao Zhang

I develop a new method for estimating counterfactuals in dynamic discrete choice models, a widely used set of models in economics, without requiring a distributional assumption on utility shocks. Applying my method to the canonical Rust (1987) setting, I find that the... View Details

Keywords: Semiparametrics; Dynamic Discrete Choice; Consumer Choice; Mathematical Methods

29 Aug 2013
Working Paper Summaries

X-CAPM: An Extrapolative Capital Asset Pricing Model

Keywords: by Nicholas Barberis, Robin Greenwood, Lawrence Jin & Andrei Shleifer

January 2003 (Revised August 2003)
Case

General Mills and the Hawthorne Huddle (A)

Examines the role of General Mills in the formation and leadership of the Hawthorne Huddle. The Huddle was in the Hawthorne neighborhood in Northern Minneapolis, which in 1997 was plagued with high crime and poverty. The Huddle served as a forum, held the first... View Details

Keywords: Leadership; Corporate Social Responsibility and Impact; Management Succession; Social Issues; Consumer Products Industry; Minneapolis

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August 2019
Article

When and How to Diversify—A Multicategory Utility Model for Personalized Content Recommendation

By: Yicheng Song, Nachiketa Sahoo and Elie Ofek

Sometimes we desire change, a break from the same or an opportunity to fulfill different aspects of our needs. Noting that consumers seek variety, several approaches have been developed to diversify items recommended by personalized recommender systems. However,... View Details

Keywords: Recommender Systems; Personalization; Recommendation Diversity; Variety Seeking; Collaborative Filtering; Consumer Utility Models; Digital Media; Clickstream Analysis; Learning-to-rank; Consumer Behavior; Media; Customization and Personalization; Strategy; Mathematical Methods

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June 2024
Module Note

Value Creation Potential of New Business Models

By: David J. Collis

A business model is composed of three elements. These describe a generic way of creating value and identify the maximum potential value of that model for customers. The elements of a business model are the “job to be done” for the customer, the asset configuration, or... View Details

Keywords: Business Model; Corporate Strategy; Mission and Purpose; Competitive Strategy; Value Creation

July 2023
Supplement

Honeycomb (B): Jumping on The Generative AI Bandwagon?

By: Jeffrey J. Bussgang and Kumba Sennaar

Honeycomb, an audio app enabling users to record stories and save family memories, considers pivoting to embrace generative AI. What should the co-founders business model look like if they pursued this new direction? View Details

Keywords: Entrepreneurship; Venture Capital; Operations; Business Startups; Business Model; AI and Machine Learning; Technology Industry; United States

September 2023 (Revised January 2024)
Case

AI21 Labs in 2023: Strategy for Generative AI

By: David Yoffie, Orna Dan and Elena Corsi

Israeli generative artificial intelligence company AI21 Labs was founded in 2017 to realize the vision of true machine intelligence. It sought to reinvent writing and reading and in 2020 it launched Wordtune, an app using GenAI software to offer alternate text... View Details

Keywords: Decision Making; AI and Machine Learning; Innovation Strategy; Growth and Development Strategy; Applications and Software; Competitive Strategy; Technology Industry; Israel

Research Summary

Models of optimal experience (flow)

Flow is a state of profound task-absorption, involvement, and intrinsic enjoyment that makes the person feel one with the activity. Csikszentmihalyi's Flow Theory states that flow is more likely to occur in situations in which the person feels that the activity is very... View Details

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