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Yuvaraj, Mayank
- Determinants of Cloud Computing Applications Adoption in University Libraries
Abstract Views :636 |
PDF Views:55
Authors
Affiliations
1 Central University of Bihar, Gaya Campus, Gaya, Bihar, IN
1 Central University of Bihar, Gaya Campus, Gaya, Bihar, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 51, No 5 (2014), Pagination: 279-286Abstract
Recent years have witnessed huge popularisation in the cloud computing applications. The present study is targeted towards the implication of the Theory of Planned Behaviour and the construct affect to more desirably apprehend the acceptance level of Google Apps, a form of cloud computing applications commonly used among librarians. Till date no known study has yet examined the factors that influences the librarian`s decision to use the cloud computing applications. The research study demonstrated that the intentions of the librarians to use Google Apps are positively correlated with all the constructs of Theory of Planned Behaviour (Attitude, Subjective Norms, Perceived behavioural control) as well as Affect.Keywords
Affect, Behavioural Intention, Cloud Computing Applications, Google Apps, Theory of Planned Behaviour.- Co-Authorship Network in Cardiology Research Studies:Case Study of Iranian Output
Abstract Views :291 |
PDF Views:72
Authors
Eskischolar_mainchi Rogheyeh
1,
Ashoori Mhranjani Forouzan
2,
Shahrabi Farahani Helia
2,
Mayank Yuvaraj
3
Affiliations
1 Medical Information Department, Iran University of Medical Sciences, Tehran, IR
2 Medical Information Sciences, Iran University of Medical Sciences, Tehran, IR
3 Central University of South Bihar, Gaya 824 236, IN
1 Medical Information Department, Iran University of Medical Sciences, Tehran, IR
2 Medical Information Sciences, Iran University of Medical Sciences, Tehran, IR
3 Central University of South Bihar, Gaya 824 236, IN
Source
Current Science, Vol 118, No 10 (2020), Pagination: 1557-1562Abstract
The basic objective of the study is to determine the co-authorship network of cardiology research in Iran. Scientometric approach was used to conduct the study. In the study, in addition to drawing the co-authorship network of cardiovascular articles of Iran indexed in WoS database, the researcher analysed the main cores of co-authorship network. Data was analysed by descriptive and analytical method. The centrality index which reflects the status of specific nodes in the network has also been determined. There were 2631 Iranian authors who published 1071 articles in cardiology. Density of 0.002 represents the continuity of the network and clustering coefficient of 0.51 indicates the willingness of the authors for research cooperation. Co-authorship network of car-diovascular area has a verylarge core. Tehran University of Medical Sciences had the highest degree and closeness centralities followed by most prolific and influential authors and the highest betweenness centrality was of Tabriz University of Medical Sciences. It is essential to note that people with more papers and citations, are not necessarily the central and influential members of the co-authorship network. Those with a small number of articles and citations can be a member of the key group of the co-authorship network and they control the flow and dissemination of information.Keywords
Cardiology, Co-authorship Network, Collaboration, Scientometrics.References
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- AI-Based Literature Reviews : A Topic Modeling Approach
Abstract Views :104 |
PDF Views:1
Authors
Affiliations
1 Department of Library and Information Science, Mizoram University, Aizwal - 796004, Mizoram, IN
2 Central Library, Central University of South Bihar, Gaya – 824236, Bihar, IN
1 Department of Library and Information Science, Mizoram University, Aizwal - 796004, Mizoram, IN
2 Central Library, Central University of South Bihar, Gaya – 824236, Bihar, IN
Source
Journal of Information and Knowledge (Formerly SRELS Journal of Information Management), Vol 60, No 2 (2023), Pagination: 97-104Abstract
The purpose of this paper is to highlight the importance of topic modelling in conducting literature reviews using the open-source LDAShiny package in the R environment, with green libraries literature as a case study. To conduct the analysis, a title and abstract dataset were prepared using the Scopus database and imported into the LDAShiny package for further analysis. It was found that the green libraries' literature ranged from 1989-2023, with a sharp increase in research topics since 2003. The study also identified key themes and documents associated with green libraries research, revealing that energy efficiency, waste reduction and recycling, and the use of sustainable materials have been extensively discussed in the literature. However, further research is needed on the implementation of these practices in libraries, as well as the impact of the COVID-19 pandemic on green libraries. The findings will be beneficial to researchers interested in using topic modelling for literature reviews.Keywords
Green Libraries, Latent Topics, LDA Shiny, Literature Review, Topic Modelling.References
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