Publications

SSRN

27 Jul 2019
Op-Ed

Does Facebook's Business Model Threaten Our Elections?

technology-driven efforts to sway their votes, and from as far away as Russia, according to US government claims. Social media in general and Facebook specifically were the primary weapons of choice. It worked so well that spending by US... View Details

Keywords: by George Riedel

13 Nov 2018
News

Building a New Real Estate Investment Model

“You want to see positive economic changes in a community, but you don’t want people who have been committed to and living in the community for generations to be displaced,” Davis says. “We can prevent that by creating rental... View Details

Keywords: April White; Real Estate

22 Feb 2019
News

Empowering a New Generation of Business Leaders

Enterprise magazine. “Then we had a very lively discussion about the current state of the media industry in general and its future, as more non-TV delivery methods—like streaming to your phone—take over. Professor McGee and Cèsar Conde... View Details

Keywords: Margie Kelley; Arts, Entertainment

May–June 2021
Article

Capturing Value in Platform Business Models that Rely on User-Generated Content

By: Hemang Subramanian, Sabyasachi Mitra and Sam Ransbotham

Business models increasingly depend on inputs from outside traditional organizational boundaries. For example, platforms that generate revenue from advertising, subscription, or referral fees often rely on user-generated content (UGC). But there is considerable... View Details

Keywords: Business Model; Network Effects; Mergers and Acquisitions; Valuation; Risk and Uncertainty

Purchase

2011
Working Paper

The Impact of Horizontal Mergers and Acquisitions in Price Competition Models

The question of what impact mergers and acquisitions have on key equilibrium performance measures is fundamental to our understanding of competitive dynamics in an oligopolistic industry. We address these questions in the context of price competition models with... View Details

Keywords: Mergers and Acquisitions; Cost; Price; Profit; Duopoly and Oligopoly; Performance Efficiency; Mathematical Methods; Competition

March 2024 (Revised April 2024)
Case

Angel City Football Club: Scoring a New Model

By: Jeffrey F. Rayport, Jennifer Fonstad and Nicole Tempest Keller

In January 2024, Kara Nortman, Julie Uhrman, and Natalie Portman, the founders of Angel City Football Club (ACFC) were developing the club’s first three-year strategic plan. Founded in 2020, ACFC had a star-studded investor group, including Portman and celebrities such... View Details

Keywords: Sports; Entertainment; Entrepreneurship; Brands and Branding; Venture Capital; Business Model; Corporate Strategy; Digital Marketing; Sports Industry; Entertainment and Recreation Industry; United States; California; Los Angeles

Educators

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December 1992 (Revised September 1995)
Exercise

Negotiation Exercise on Tradeable Pollution Allowances: General Background Information

By: Willis M. Emmons III

Designed to teach students about the trade-offs faced by firms exploring alternative approaches to complying with pollution control regulations. The setting is the U.S. electric utility industry in 1993. In accordance with the provisions of the 1990 Clean Air Act,... View Details

Keywords: Negotiation; Pollutants; Laws and Statutes; Governing Rules, Regulations, and Reforms; Governance Compliance; Utilities Industry; United States

2023
Working Paper

Nailing Prediction: Experimental Evidence on the Value of Tools in Predictive Model Development

By: Daniel Yue, Paul Hamilton and Iavor Bojinov

Predictive model development is understudied despite its centrality in modern artificial intelligence and machine learning business applications. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms)... View Details

Keywords: Analytics and Data Science

SSRN

Predictive model development is understudied despite its importance to modern businesses. Although prior discussions highlight advances in methods (along the dimensions of data, computing power, and algorithms) as the primary driver of model quality, the value of... View Details

01 Jun 2024
News

Decoding the Promise and Perils of Generative AI

ChatGPT burst into the public consciousness on November 30, 2022. Within two months, the generative artificial intelligence (GenAI) software, which leverages a large language model (LLM) to produce... View Details

Keywords: April White

2024
Working Paper

Old Moats for New Models: Openness, Control, and Competition in Generative AI

By: Pierre Azoulay, Joshua L. Krieger and Abhishek Nagaraj

Drawing insights from the field of innovation economics, we discuss the likely competitive environment shaping generative AI advances. Central to our analysis are the concepts of appropriability—whether firms in the industry are able to control the knowledge generated... View Details

Keywords: Technological Innovation; AI and Machine Learning; Open Source Distribution; Policy

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Article

Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects

By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida

Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details

Keywords: Strategy; Research; Competitive Advantage; Competitive Strategy; Performance

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02 Oct 2013
News

General Motors Takes a Look Under Tesla's Hood

Keywords: Tesla; Motor Vehicle and Parts Dealers; Retail Trade

Web

General Management Awards & Honors - Faculty & Research

General Management Overview Faculty Curriculum Awards & Honors Doctoral Students 2024 Leonard A. Schlesinger : Received the 2023-2024 Apgar Award for Innovation in Teaching. 2023 Nien-he Hsieh : Winner of the 2023 Case Centre Award in the... View Details

1994
Article

Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism

By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford

Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details

Keywords: Performance Expectations; Strength and Weakness; Health; Mathematical Methods; Health Industry

September 2003 (Revised May 2006)
Case

Eyeblaster: Enabling the Next Generation of Online Advertising

By: Elie Ofek

Eyeblaster management has to decide on the best course of action to sustain its momentum from enabling online rich media advertising. Pressure from competitors is forcing the company to re-evaluate its previous marketing strategy that focused primarily on getting... View Details

Keywords: Business Model; Marketing Strategy; Market Entry and Exit; Performance Evaluation; Digital Marketing; Growth and Development Strategy

Educators

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December 2023
Article

When Should the Off-Grid Sun Shine at Night? Optimum Renewable Generation and Energy Storage Investments

By: Christian Kaps, Simone Marinesi and Serguei Netessine

Globally, 1.5 billion people live off the grid, their only access to electricity often limited to operationally-expensive fossil fuel generators. Solar power has risen as a sustainable and less costly option, but its generation is variable during the day and... View Details

Keywords: Energy; Renewable Energy

Forthcoming
Article

Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments

By: Kosuke Imai and Michael Lingzhi Li

Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details

Keywords: AI and Machine Learning; Mathematical Methods