Data Visualities of Technology Diffusion Research in Top Ten Countries

Authors

  • Ravi Shukla Assistant Librarian, Chhatrapati Shahu Ji Maharaj University, Kanpur

Keywords:

Diffundere, Diffusionis, Information Technology, Innovation, Technology Adoption, Technology Diffusion

Abstract

This paper attempts to assess the literacy output in ‘Technology Diffusion’ productivity from the period of 2001 to 2020, in which a total of 1748 research papers were published in the particular area. The average annual growth rate was 8.44 recorded with fluctuating trends while the relative growth rate was recorded in increasing trend and doubling time was  recorded in decreasing trends, i.e., 1.79 and 0.42 respectively; however, the total number of citations was 51621 recorded during the period of study. A large numbers of scientists were in Business, Management and accounting subject area or preferred these areas to publish their research results. ‘Technology Diffusion’ keyword was used by researchers in maximum research papers. The maximum scientists preferred to publish their research results in Journal. National Bureau of Economic Research, USA is the most contributed affiliation in technology diffusion research and the particular institution collaborate their maximum research with Harvard University. Shih, H. Y. was the most productive author from National Chi Nan University, Taiwan with 12 publications in technology diffusion research and a total
11 h-index and 1077 citations. Most of the publications were contributed by two authors. The overall collaboration coefficient (CC) data has been shown in increasing trends with the average 0.47. In comparison to collaboration coefficient, the average modified collaboration coefficient of authors has been slightly different from CC i.e. 0.48. The collaborative index (CI) was also shown in increasing trends and the average CI was 2.46 recorded and the average 0.77 degree of collaboration of authors was found during the period of study. Lotka’s law of author productivity was found that the expected authors were different from observed.

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Published

2023-03-22

How to Cite

Shukla, R. (2023). Data Visualities of Technology Diffusion Research in Top Ten Countries. College Libraries, 37(II), 1–15. Retrieved from http://collegelibraries.in/index.php/CL/article/view/69

Issue

Section

Research Articles