A novel statistical framework for the analysis of the degree of technology adoption

TL;DR

This paper introduces a flexible, statistically testable framework for analyzing the evolution of technology adoption, capturing nonlinearities and underlying sub-processes, enabling new quantitative insights into adoption dynamics.

Contribution

It presents a novel statistical framework for analyzing technology adoption, allowing for flexible modeling of nonlinear processes and underlying sub-states, which was not previously possible.

Findings

Framework enables statistical testing of technology adoption processes

Captures nonlinearities in the evolution of adoption

Applied to an integrated model of technology adoption

Abstract

Technology adoption research aims to determine the reasons why and how individuals, corporations, and industries start using new technology. Furthermore, technology adoption itself is decomposed into underlying sub-processes which are characterized by a finite number of sequential states in order to capture its evolutionary nature. Building upon that, in this paper a technology adoption index is being constructed that allows for statistical testing. This new framework is flexible with respect to the number of underlying models, and accounts for nonlinearities within the evolution of technology adoption. It can be considered as novel because it gives opportunity to a quantitative analysis of technology adoption that has not existed before. Subsequently, this framework is applied for an integrated model of technology adoption.