Welcome to the InfoSci Platform
From "S" to "J": A Theoretical Technology Adoption Rate Model

From "S" to "J": A Theoretical Technology Adoption Rate Model

Jeanne C. Samuel
Copyright: © 2009 |Volume: 1 |Issue: 2 |Pages: 14
ISSN: 1937-9633|EISSN: 1937-9641|ISSN: 1937-9633|EISBN13: 9781616921224|EISSN: 1937-9641|DOI: 10.4018/jea.2009040104
Cite Article Cite Article

MLA

Samuel, Jeanne C. "From "S" to "J": A Theoretical Technology Adoption Rate Model." IJEA vol.1, no.2 2009: pp.55-68. http://doi.org/10.4018/jea.2009040104

APA

Samuel, J. C. (2009). From "S" to "J": A Theoretical Technology Adoption Rate Model. International Journal of E-Adoption (IJEA), 1(2), 55-68. http://doi.org/10.4018/jea.2009040104

Chicago

Samuel, Jeanne C. "From "S" to "J": A Theoretical Technology Adoption Rate Model," International Journal of E-Adoption (IJEA) 1, no.2: 55-68. http://doi.org/10.4018/jea.2009040104

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

This article proposes a hypothetical model for determining rate of diffusion of an innovation in a system. The model modifies Everett Rogers’ S-curve using an index created from Gartner’s hype cycle phases. Rogers’ model for technology innovation adoption demonstrates that cumulative technology diffusion in a system from zero through the late majority adopters’ phase forms a curve resembling the letter “S”. Hype cycles analyze the five emotional stages technology adopters go through from over-enthusiasm (hype) though disappointment until it plateaus (beginning of mainstream adoption). When numbers assigned to the phases of adoption from the hype cycle are used as multipliers and applied to the cumulative adoption data of an innovation (Rogers’ S-curve), the “S” becomes a “J”. With the J-curve you can determine the rate of innovation diffusion in an organization.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.