The Diffusion of Deal Innovations in Complex Contractual Networks

ABSTRACT We introduce a new method for studying contractual evolution in complex markets. We situate the diffusion of a deal innovation within an advisory network and then provide methods for inferring a law firm's preference for adopting the innovation and for calculating each firm's proximity to prior adopters. This allows for granular analysis of firm‐to‐firm interactions as a diffusion mechanism. To demonstrate, we study the top‐up option's diffusion in two‐step tender offers from 1999 to 2013. Diffusion occurs in 40% of observations in which a non‐adopting firm is directly connected to a prior adopter of the option. By contrast, diffusion occurs in only 4% of observations without a direct connection to a prior adopter. We find this relationship persists in even the most comprehensive regression analysis, finding that directly connected firms have a hazard of adoption that is 4.01 times that of firms with no direct connection, even after controlling for deal, firm, and industry characteristics. These results demonstrate the importance of firm‐to‐firm information transfers to contractual evolution and underscore their study as a research priority.

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Publication Details

Journal
Journal of Empirical Legal Studies
Published
2025-06-13
DOI
https://doi.org/10.1111/jels.12421
Primary Topic
Innovation Diffusion and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

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article

The Diffusion of Deal Innovations in Complex Contractual Networks

Matthew Jennejohn, Kristina Bishop, Cree Jones
Journal of Empirical Legal Studies
Innovation Diffusion and Forecasting
article

The Diffusion of Deal Innovations in Complex Contractual Networks

Matthew Jennejohn, Kristina Bishop, Cree Jones
article en

Abstract

ABSTRACT We introduce a new method for studying contractual evolution in complex markets. We situate the diffusion of a deal innovation within an advisory network and then provide methods for inferring a law firm's preference for adopting the innovation and for calculating each firm's proximity to prior adopters. This allows for granular analysis of firm‐to‐firm interactions as a diffusion mechanism. To demonstrate, we study the top‐up option's diffusion in two‐step tender offers from 1999 to 2013. Diffusion occurs in 40% of observations in which a non‐adopting firm is directly connected to a prior adopter of the option. By contrast, diffusion occurs in only 4% of observations without a direct connection to a prior adopter. We find this relationship persists in even the most comprehensive regression analysis, finding that directly connected firms have a hazard of adoption that is 4.01 times that of firms with no direct connection, even after controlling for deal, firm, and industry characteristics. These results demonstrate the importance of firm‐to‐firm information transfers to contractual evolution and underscore their study as a research priority.

Journal of Empirical Legal StudiesVol. 22(3)
University of Utah (US), Johns Hopkins University Applied Physics Laboratory (US), Provo College (US)
University of Pennsylvania
Industry, innovation and infrastructure
Openalex Percentile: Top 84%
Innovation Diffusion and Forecasting
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