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Online Search Behavior of Ophthalmologists: A Study in India.
- Source :
- Library of Progress-Library Science, Information Technology & Computer; Jan-Jun2019, Vol. 39 Issue 1, p1-12, 12p
- Publication Year :
- 2019
-
Abstract
- Background: In the information age, Ophthalmologists retrieve information online and deal with the retrieved information in different ways. The purpose of this study is to investigate the online search behavior of ophthalmologists. Methodology: The study design is cross sectional and convenience sampling method is adopted. A structured questionnaire was used to collect data. SPSS 18 PASW Statistical package was used for statistical analysis. Frequencies, percentages, Mann Whitney U test, Kruskal-Wallis test, Factor Analysis, Wilcoxon signed rank test were used in the study. Findings: Around 633 ophthalmologists working in 47 academic eye hospitals from 16 states of India were included in the study. The study results revealed that majority of the ophthalmologists exhibit the attitude " Change the search terms in accordance to the results returned " followed by " Copy and paste / Download / bookmark the information ", "Check and read the citations / references of the retrieved information". The statistical test results showed up that there does not exist a statistical difference between ophthalmologists’ attitude and gender, age, designation, experience and institution type. The two major factors of ophthalmologists’ online information search behavior were identified as conscious search and casual search. The conscious search factor was significantly higher than the casual search. Conclusion: The study results revealed that the ophthalmologists’ online search behavior is same. Ophthalmic libraries and other information service providers will understand the ophthalmologists search behavior and provide their digital platforms accordingly. This will be helpful to promote their digital platforms and digital resources. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09701052
- Volume :
- 39
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Library of Progress-Library Science, Information Technology & Computer
- Publication Type :
- Academic Journal
- Accession number :
- 137669592
- Full Text :
- https://doi.org/10.5958/2320-317X.2019.00001.1