TY - JOUR
T1 - Investigating the diffusion of innovation
T2 - A comprehensive study of successive diffusion processes through analysis of search trends, patent records, and academic publications
AU - Takahashi, Carlos Kazunari
AU - Figueiredo, Júlio César Bastos de
AU - Scornavacca, Eusebio
N1 - Publisher Copyright:
© 2023 Elsevier Inc.
PY - 2024/1
Y1 - 2024/1
N2 - Adapting to market advances gives organizations a competitive advantage in today's business environment. The anticipation of innovation can be crucial to the competitiveness of an industry. This study analyzes and compares different types of innovation diffusion processes. From a global perspective, it examines the diffusion of interest in an innovation as indicated by a search trend, the diffusion of innovation in patents, and the diffusion of innovation in academic publications. It applies the mathematical modeling of Bass to evaluate the diffusion curves. The findings suggest that the takeoff times in the curves are distinct and sequential, indicating the existence of a series of successive diffusion processes. The diffusion curves of innovation-related search interest reach the takeoff first, followed by the diffusion curves of innovation-related patents and academic publications. The present work contributes to the field by (i) extending the use of innovation diffusion theory to the diffusion of interest in an innovation as indicated by a search trend, the diffusion of innovation in patents, and the diffusion of innovation in academic publications; (ii) demonstrating the differences in diffusion curves and takeoff times; and (iii) indicating the existence of a series of successive diffusion processes.
AB - Adapting to market advances gives organizations a competitive advantage in today's business environment. The anticipation of innovation can be crucial to the competitiveness of an industry. This study analyzes and compares different types of innovation diffusion processes. From a global perspective, it examines the diffusion of interest in an innovation as indicated by a search trend, the diffusion of innovation in patents, and the diffusion of innovation in academic publications. It applies the mathematical modeling of Bass to evaluate the diffusion curves. The findings suggest that the takeoff times in the curves are distinct and sequential, indicating the existence of a series of successive diffusion processes. The diffusion curves of innovation-related search interest reach the takeoff first, followed by the diffusion curves of innovation-related patents and academic publications. The present work contributes to the field by (i) extending the use of innovation diffusion theory to the diffusion of interest in an innovation as indicated by a search trend, the diffusion of innovation in patents, and the diffusion of innovation in academic publications; (ii) demonstrating the differences in diffusion curves and takeoff times; and (iii) indicating the existence of a series of successive diffusion processes.
KW - Diffusion of innovation
KW - Patents
KW - Publications
KW - Search trends
KW - Takeoff
UR - http://www.scopus.com/inward/record.url?scp=85177493204&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85177493204&partnerID=8YFLogxK
U2 - 10.1016/j.techfore.2023.122991
DO - 10.1016/j.techfore.2023.122991
M3 - Article
AN - SCOPUS:85177493204
SN - 0040-1625
VL - 198
JO - Technological Forecasting and Social Change
JF - Technological Forecasting and Social Change
M1 - 122991
ER -