Publications

SSRN

1980
Working Paper

Components of Manufacturing Inventories: A Structural Model of the Production Process

By: Alan J. Auerbach and Jerry R. Green

This paper presents a structural model of production and inventory accumulation based on the hypothesis of cost minimization. It differs from previous attempts in several respects. First, it integrates the analysis of input inventories with output inventories, treating... View Details

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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2016
Working Paper

Capital Requirements, Risk Choice, and Liquidity Provision in a Business Cycle Model

By: Juliane Begenau

This paper develops a quantitative dynamic general equilibrium model in which households' preferences for safe and liquid assets constitute a violation of Modigliani and Miller. I show that the scarcity of these coveted assets created by increased bank capital... View Details

Keywords: Capital Requirement; Bank Regulation; Demand For Safe Assets; Business Cycles; Bank Lending; Risk Management; Financial Liquidity; Financing and Loans; Capital; Banks and Banking

SSRN

08 Jul 2002
Research & Ideas

How to Fashion Your New E-Business Model

flexibility were limited. The new e-business models emerging on the Internet can be classified within one or more of the generic market roles. In addition, the models can be... View Details

Keywords: by Lynda M. Applegate

15 Jan 2018
Research & Ideas

A Better Business Model for Fighting Cancer

fully enroll in clinical trials, Hamermesh says. “We’re not just looking for anyone with pancreatic cancer—it’s patients with these three particular mutations.” That underlines the importance of making patients aware of the benefits of knowing their cancer subtype, he... View Details

Keywords: by Julia Hanna; Health; Pharmaceutical

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

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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

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

2022
Working Paper

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

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

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July 16, 2016
Article

A Game Theoretic Model for Resource Allocation Among Countermeasures with Multiple Attributes

By: Elisabeth C. Paulson, Igor Linkov and Jeffrey Keisler

We study a strategic, two-player, sequential game between an attacker and defender. The defender must allocate resources amongst possible countermeasures and across possible targets. The attacker then chooses a type of threat and a target to attack. This paper proposes... View Details

Keywords: Resource Allocation; Game Theory; Strategy

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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Research Summary

A Model of Delegation in Contests (with Stefan Brandauer), 2004

We analyze a contest between two groups where group members have differing valuations for the contested rent. Generically the pivotal group member with the median valuation of the rent will not act himself but will want to send a group member that has preferences... View Details

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

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

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

2023
Working Paper

Design-Based Confidence Sequences: A General Approach to Risk Mitigation in Online Experimentation

By: Dae Woong Ham, Michael Lindon, Martin Tingley and Iavor Bojinov

Randomized experiments have become the standard method for companies to evaluate the performance of new products or services. In addition to augmenting managers’ decision-making, experimentation mitigates risk by limiting the proportion of customers exposed to... View Details

Keywords: Performance Evaluation; Research and Development; Analytics and Data Science; Consumer Behavior

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