RAHYAFT
Year:2018 | Volume:27 | Issue:68 |Papers Count:6

The purpose of this study was to examine Iranian scholars’ attendance in international conferences from 2000 to 2016. Scientometric method was used in this research. The findings show an approximately increasing trend in the amount of conference papers. Iran has the most collaboration with the United States, Canada, and the United Kingdom. Development and scientific productivity are two effective factors in collaboration with other countries. There is a significant correlation between scientific productivity of a country and its scientific collaboration. The majority of papers presented in conferences were in the following subject areas respectively: computer science, electrical and electronics engineering, and telecommunication. In general, engineering fields have the most papers in conference proceedings, comparing to journals, in which basic sciences has the most papers. There is a significant correlation between conference papers and journal papers in engineering fields.

The science frontiers (Hall of Fame members) are highly impacted scholars in Iran, thus it is supposed that their scholarly product are useful for national and International audiences. In order to investigate their scholarly communication and the usage rate of their products, this is to study the early and late citation to declare the visibility of a research as well as delays in citation which forms scholarly communication.Objective: The purpose of the present study was to investigate the impact of the scientific productions of the of Iranian Science and Culture Hall of Fame in Humanities & Engineering among the international scientific community, a comparative study of the two early and late citation phenomena in the scientific production, and the study of their citation status to determine the citation behavior of specialists in these areas.This was an applied study with a descriptive approach using scientometric indices. The study population included all 604 written outputs by 29 selected scientists from the beginning up to the end of 2017 in Web of Science (WOS) and Scopus. Data were collected from these two databases and analyzed using Excel software.The length of Sleep is different in scientific fields and less in WOS. The citation status is less in humanities. There are some products which still slept which are 16.7 percent in humanities, and 16.5 in. As for early citation comparing to the whole production, engineering is about 2.5 times more than humanities.

The economic growth and competitiveness of countries is strongly influenced by their national science and technology (S& T) systems. Hence, national S& T policymakers must make appropriate decisions to flourish national S& T systems. For this purpose, an integrated view on the dimensions of national S& T systems is much needed. Due to the distribution of relevant data sources for national S& T indicators and the complexity of national S& T systems, establishing an integrated view is challenging. In this paper, we propose a business intelligence (BI) model to monitor and analyze national S& T indicators. For this purpose, a five-layered architecture for monitoring national S& T indicators, a star schema-based national S& T indicator data warehouse, and a process for monitoring national S& T indicators using a business intelligence approach are designed. After developing a prototype system for the Iranian S& T system, the S& T indicators of the Iranian National S& T Roadmap (having a look at Iran Vision 2025) are monitored. Moreover, the performance of the Iranian S& T system is compared with selected countries to identify the position of Iran in the global S& T arena. Using the results of monitoring Iranian S& T indicators by the developed system, the status of the Iranian S& T system is analyzed in the end.

Nowadays by growing of web and different technologies, we faced with information deluge that we cannot process or create value from them easily. Most of this information can be interpreted by humans and is not machine readable. Using of semantic technology which try to create machine readable information can be a solution in this regard. Semantic web technologies by defining an ontology for sharing domain concepts help us to share information or knowledge in the organization wide. KM 3.0 use semantic web to share knowledge to right people at right time. In this paper, we review some applications of semantic web in information or knowledge management in different contexts and based on current literature, we present a general framework for managing information by using semantic web technologies. Finally, we review current approaches for storing semantic web information in rational databases and compare them based on defined criteria in literature.

This study aimed to determine the e-readiness of the Islamic World Science Citation Center to implement electronic customer relationship management, and was conducted based on the components of a comprehensive model. The current research is conducted with a descriptive approach. The population included 31 employees of ISC Database. The instruments used in this study, was a five-point Likert scale questionnaire which face and content validity was confirmed by a number of experts and its reliability was measured by Cronbach's alpha 963.0. Also, in order to analyze the data different statistical techniques such as frequency, single -group t-test and Friedman test were used. Based on the findings, ISC in terms of components of organizational, human resources, information technology and communications and external environment has on average higher than medium 3. Therefore, based on the total averages obtained, ISC with an average of 3.20 has an e-readiness higher than average. The results indicate that ISC with high average of e-readiness has the possibility of implementing electronic customer relationship management.

This essay discusses technophobia phenomenon and its socio-cultural aspects. In the first stage, thisphenomenon’s hitory is studied and its effects on art, philosophy and social thoughts are reviewed. In the next stage, technophobia in Iranian intellectual history is studied. At the last stage, technophobic dimensions in technological policy making is evaluated.