
Asian Journal of Information Science and Technology (AJIST)
Scientometric Analaysis on the Literature Output on Unemployment
Author : S. Prabakar , M. Nagarajan and A. ThirumagalVolume 8 No.2 July-September 2018 pp 48-53
Abstract
The social problem of “Unemployment” has been taken as research topic for the scientometric study. The data has been downloaded from Web of Science and the span of years has been selected from 2008 to 2012. Hypotheses are assumed and appropriate statistical tool has been utilized to the test the hypotheses. The interpretation has been given along with relevant data in tabular form. It was identified that the majority of the communicating format of language in the research output is of English. The journal articles dominated all the other type of publications. The prediction of Alfred Lotka on author productivity was not suitable for this research work.The findings reveal that enormous literatures related to the “Unemployment” are published to alarm the policy makers about the up-coming danger. It is requested the policy makers of the global countries to lay new policies to see the human beings to be employable. It is suggested that the society to raise the standard of their employable skills to be worthy for being employable. It it also suggested to the respective educational authorities towards the revival in the curriculum of the educational system of global countries.
Keywords
Scientometric, Unemployment, Regression, Lotka’s Law, Kolmogorov Smirnov Test
References
[1] Toropovs, V., &Vircavs, M. (2009). Distribution of trace elements in lake sediments: A Scientometric Analysis. Proceedings of ECOpole, 3(2), 383-386.
[2] Rathinasabapathy, G. (2015). Bluetongue Research: A scientometric Profile Based on CAB Direct Online. Asian Journal of Library and Information Science, 5(1-2), 47-54.
[3] Chaman Sab, M., Dharani Kumar, P., & Biradar, B. S. (2017). Scientific Productivity of Oceanography Literature: A Scientometric Analysis. Fish & Ocean Opj. 5(2).