International Journal of Information Science and Management
Volume:13 Issue: 2, Jul-Dec 2015

The aim of this paper is to determine if the centrality degree and density of Latin-American and Caribbean countries (LA-C) predicts their citation based performance in academic research in the management discipline. For our analysis, we use publication data of the Social Science Citation Index in the field of ‘‘Management’’ between 1988 and 2013, extracted from ISI Web of Science. The resulting database contained 1,079 articles reflecting the contributions of 19 LA-C countries. For the quantitative analysis we used a combination of Bibliometric and Social Networks Analysis techniques. To test the hypothesis a Multiple Linear Regression model with bootstrapping was run. The results show that the centrality degree of LA-C countries is positively associated to their citation based performance. The centrality degree of LA-C countries predicts a 54% of variance in their citation based research performance within the management discipline.

Research on citation behaviors shows that authors tend to cite the articles of the journals to which they have sent their own articles to be published (Target Journal). Experts in this field have clarified this phenomenon in different ways. The present study follows different explanatory presentations with regard to Citing Conformity Factor. The research has been done in two parts: 1. Survey Method, and 2. Citation analysis method. The results of regression analysis suggest that some part of this phenomenon’s variance is justified based on Normative Citing Conformity. In line with conformity with group norms and through having the motivation for receiving rewards, the authors cite the articles in target journal. The relationship between Citing Conformity Factors (Normative, Informational, and Identification) and the motivation to cite target journal has been analyzed in this research for the first time.

The paper explores the research productivity of the Journal Vikalpa for the period of 2003-2012, which is indexed in the EBSCO on-line database. Various quality aspects of the 437 research articles published in the period were studied. The study elaborates on various aspects of the journal such as year wise distribution of the articles, growth rate of articles, authorship pattern, and degree of the authorship collaboration, distribution of the contribution by institutions, country wise, length of the articles and geographical distribution of authors. The analysis of the data revealed that average growth rate of literature was 1.07 and moderate degree (.4234) of collaboration was observed. Further, research showed that average number of authors per paper was 1.7 and Single authored research articles constitute maximum to the total research output (57.87%). On an average 43 articles were published in each year during the study period. The maximum number of articles have been contributed by academic institutions. Further it is found that the Relative Growth Rate (RGR) of articles was found to be gradually increasing from 0.6931 in the year 2003 to 2.4964 in the year 2012 and correspondingly the values of doubling time of the articles was found to be decreasing from. 9998 in the year 2004 to 0.2776 in the year 2012. The Study also reveals that India has the largest contributor of literature for Vikalpa Journal. Finally, the research productivity of authors of Vikalpa Journal does not obey the Lotka’s law of scientific productivity.

The aim of the present study is to investigate and compare the role of journals with different access models (including print, database, print/database subscriptions) as well as unsubscribed models in meeting the information needs of Shiraz University researchers. Using a bibliometric method, the communication studies the references used in Shiraz University scientific papers indexed by Thomson Reuter’s citation indexes (i.e. SCI, SSCI and Arts & Humanities CI) in 2010. A vast number of scientific journals are found to be available in Shiraz University, most of them repeatedly provided via different models. Over 90% of the journals receive no citations from Shiraz University researchers. The researchers generally tend to refer to unsubscribed journals as well as subscribed database journals. However, the journals mostly referred to by Shiraz University are found to be covered by database and print/database models. The uncitedness of a wide range of print journals confirms the rationality of the policy of discontinuation of print journals subscription in favor of e-collection development. It seems that the database model performs well not only in meeting the variety of information needs of the researchers, but also in providing the required core resources for the users. The unsubscribed model is revealed useful merely to fulfill the variety of the users'' information needs; whereas it plays a minor role in providing the core needs of the researchers. The print model, following the database and the print/database models, is more or less effective in providing the core resources needed by the researchers of Shiraz University. Since a number of the core journals of Shiraz University are available in print model, it is suggested to renovate the subscription to the core print journals, preferably in online format.

The purpose of this study was to investigate the factors effecting Information and Communication Technology (ICT) usage in Kharazmi University in Iran and provide insight into the teachers'' points of views. Among 300 university teachers, 97 were selected randomly to answer the questionnaire. A researcher-made Likert-type questionnaire was developed using the modules of the ICT Foundation. For comparison and ranking of ICT usage, the Chi square formula and one-way analysis of variance were used. There was significant similarity among the teachers'' attitudes in 7 departments about the effects of ICT to use in teaching-learning process. There was no significant difference between teachers'' view points about their enthusiasm of professional use of ICT and to integrate technology in pedagogically sound ways in all faculties. The main priority of Kharazmi University according to the teachers was related to the teachers'' attitude to empower ICT approaches through teaching and learning processes.

The purpose of this study is to analyse the correlation between content and traffic of 21,485 academic websites (universities and research institutes). The achieved result is used as an indicator which shows the performance of the websites for attracting more visitors. This inspires a best practice for developing new websites or promoting the traffic of the existing websites. At the first step, content of the site is divided into three major items which are: Size, Papers and Rich Files. Then, the Spearman correlation between traffic of the websites and these items are calculated for each country and for the world, respectively. At the next step, countries are ranked based on their correlations, also a new indicator is proposed from combining these three correlations of the countries. Results show that in most countries, correlation between traffic of the websites and Papers is less than correlations between traffic of the websites and Rich Files and Size.

Persian natural language processing (NLP) researchers have many limitations to access linguistic tools which are suitable for text processing. Therefore, researchin Persian text processing is very limited. Since dataset is an important requirement for experiments and their evaluation, we aimed to create appropriate corpora for information retrieval and natural language processing in Persian. The provided corpora in this article are based on HAMSHAHRI dataset which is appropriate for simple information retrieval and simple natural language processing because it has not been tagged. We converted this dataset to tagged collection and increased its text quality. The new corpora minimize the text preprocessing requirement. Here we have used STep-1 tools for text processing and have proposed some ideas to remove the bugs of these tools in order to increase their quality. At the end we used the new corpora for text retrieval and results showed performance improvement.