Innovation Adoption and Collective Experimentation

15 Pages Posted: 19 Sep 2014 Last revised: 7 Dec 2017

See all articles by Evan Sadler

Evan Sadler

Columbia University, Graduate School of Arts and Sciences, Department of Economics

Date Written: December 6, 2017

Abstract

I study learning about an innovation with costly information acquisition and knowledge sharing through a network. The network structure and initial beliefs jointly determine long-run adoption behavior. Networks that share information efficiently converge on a consensus more quickly but are prone to errors. Consequently, dense or centralized networks have more volatile outcomes, and efforts to seed adoption should focus on individuals who are disconnected from one another. I argue that anti-seeding, preventing central individuals from experimenting early in the learning process, is an effective intervention because the population as a whole may gather more information.

Keywords: Experimentation, Innovation Adoption, Networks, Social Learning

Suggested Citation

Sadler, Evan, Innovation Adoption and Collective Experimentation (December 6, 2017). Available at SSRN: https://ssrn.com/abstract=2497798 or http://dx.doi.org/10.2139/ssrn.2497798

Evan Sadler (Contact Author)

Columbia University, Graduate School of Arts and Sciences, Department of Economics ( email )

420 W. 118th Street
New York, NY 10027
United States

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