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With the widespread use of computer and network technologies for facilitating access to scholarly journals, a new methodology has emerged for studying journal usage and scholarly information seeking behavior. Computers record or log all user transactions in a plain text file known as a ‘transaction log’. Log files contain data about many of the details of the user’s interaction with the system. Hence, some researchers have adopted log analysis to find out about the use of electronic journals in terms of both the volume and patterns of use. Web log analysis or the Transaction log analysis has immense potential for studying online journal’s use and their user’s information seeking behavior. Log studies have been particularly helpful in understanding the searching and browsing behavior of e-journals’ users. Most importantly, the data generated from ‘log analysis’ is ‘pure’, and most importantly ‘without human intervention’. Hence the authenticity of the data is guaranteed. The major findings that the authors would like to report in this paper are: Analysis of Variance (ANOVA) was applied for testing the significant difference among the mean scores attained from the aerospace scientists and engineers of the 5 aerospace organizations selected for the study for ‘e-Journal downloads per year / per publisher’. It is observed that all the 5 aerospace organizations show a significant difference (P < 0.05) in their mean scores viz.,
R Guruprasad, P. Marimuthu. 2014. "E-Journals Download Patterns using Web Log Analysis of Selected Publishers among the Aerospace Organizations of Bangalore: A Research Study". Global Journal of Research in Engineering - J: General Engineering GJRE-J Volume 14 (GJRE Volume 14 Issue J1).
Crossref Journal DOI 10.17406/gjre
Print ISSN 0975-5861
e-ISSN 2249-4596
v1.2
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Total Score: 102
Country: India
Subject: Global Journal of Research in Engineering
Authors: R Guruprasad, P. Marimuthu (PhD/Dr. count: 0)
View Count (all-time): 317
Total Views (Real + Logic): 1714
Total Downloads (simulated): 114
Publish Date: 2014 01, Wed
Monthly Totals (Real + Logic):
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