پژوهشنامه علم سنجی
پیاپی 12 (پاییز و زمستان 1399)

The purpose of this study is to identify and evaluation of our scientific cooperation between Iranian researchers in the field of microelectronics, which is reflected in the Scopus database.

The present Research is an applied scientometrics method that is carried out by documentary procedure and the required data is collected from the Scopus database. The research community consists of all the scientific productions of researchers in the field of microelectronics, which are indexed in the Scopus between 2000 and 2017.

The findings of the research indicate that the co-authorship in the field of microelectronics has been growing trend over the years; this trend has been decreasing in the years 2006-2011-2014.  In addition, the prevailing the most collaborative pattern in this research is 3 co-authors with a percentage of 32.16 (1338) and 2 co-authors with a percentage of 30.50 (1269). 

Conclustion: 

The average co-integration index is 0.93, the co-operation index is 3.06 and the co-authorship coefficient is 0.58. Among the researchers Hadidi and Khoei from the University of Urimia and Navi from the University of Shahid Beheshti are the most active writers in the field of microelectronics.

to evaluate science and technology in the agriculture domain, determination of specific indicators are necessary. The present study has been designed to provide a model (Science and Technology Assessment System) for evaluating science and technology of agriculture.

The stages of research based on the design science method. This method contains three basic steps in a mixed research frame.  By using documentary study method, 404 related or general indicators were identified in the field of agriculture. In the Delphi technique, 271 indicators from 404 indicators were selected by agricultural experts. Finally, based on the frameworks of science and technology evaluation at the national and international levels, a framework for evaluating the science and technology system in Agricultural Research, Education and Extension Organization has been proposed.

In this research, 8 general categories of research and technology, production of technological products, genetic resources and biodiversity management, training, extension, human capital, financial and infrastructure have been proposed for the overall framework of the evaluation system of the science and technology indicators of the Agricultural Research, Education and Extension Organization.

Conclustion:

 26 science and technology indicators in in the field of agriculture were approved by field experts. These indicators, with the priority between 1 and 2 and Kendall coordination coefficient more than 0.7, were in five main components of race, exploration, mapping, extensible findings and technology for the evaluation system model Agriculture. This template has the ability to implement and evaluate indicators in different time periods.

The purpose of this study is to explain the structure of knowledge in the field of knowledge discovery using Co-word Analysis.

Bibliometric methodology and social network analysis are used as the research methods. The research population consists of all keywords in 304 patents in the field of Knowledge Discovery (KD) (Reporting, knowledge discovery (KD) systems) during 1995-2014 extracted from USPTO.

Findings indicated that “System” and “Computer” are the most frequent keywords in Knowledge Discovery patents. Moreover, findings showed that “Computer***Apparatus” and “OLAP***OLAP Management” are highly frequent co-word pairs, respectively. The results of hierarchical clustering uncovered that during the 1995-2014 period 17 thematic clusters are formed. Drawing the strategic diagram showed that clusters “input devices”, “business analysis”, and “responsive modules” are among mature clusters in Knowledge Discovery.

Conclustion: 

The combination of concepts in this study showed that the domain of knowledge discovery is heavily dependent on computer tools, information technologies, communication technologies, and human being as the last loop in the period of systematic data analysis.

 Economic status is one of the factors influencing scientific development. The present study aims to determine and explain the impact of economic factors on Iran's scientific development over the past 27 years.

This research is applied and belongs to scientometrics research. Data collection is done in a library method and referring to databases and reports of relevant organizations. To analysis the data, structural equations and PLS software have been used to answer the questions by T statistics and path coefficient.

The findings show that all the indicators of Iranian scientific development that have been presented over the last 27 years are generally growing each year. In the meantime, the employment rate had been growing up until 85-86. GDP grew until 90-91, but after those years it has been going down. Considering the path coefficient related to this hypothesis, it can be concluded that the variable of economic indicators has a 70% effect on the indicators of science development; this means that if economic indicators improve by one unit, there is a 99% chance that the value of science development indicators will improve by 0.7 units and become more positive.

Conclustion:

 According to the findings of this research, it can be concluded that there is a direct relationship between the overall development of science and economic indicators, and since scientific development is a function of economic growth, it must maintain and sustain economic growth in order to maintain scientific growth. The most important things in these indicators were gross national product, and other indicators, even those that were rejected, would have an indirect effect. In order to grow these indicators, research groups and economists should plan each other together.

Due to the importance of the interdisciplinary investigations in the creation of knowledge, this research aims to analyze the structure of co-authored social network of researchers in the field of distance education and assess the impact of co-authored strategies (Isolate, Dyadic, Cohesion, Structural Holes, Independent, Complex and Middle)have been done on their scientific productivity.

The present study is an applied study of scientometrics using social network analysis technique (SNA) to analyze the co-authorship network. The statistical population of the study is the scientific productions of all researchers, of which at least one article has been indexed in the Web of Science citations (ISI)  in the field of distance education database from 1992 to 2017. After preparation the researcher's co-authorship matrix (AU), in order to extract the results, two types of software have been used: (a) Social Network Analysis Software (UCINET & Bibexcel), and (b) Statistical Analysis Software (SPSS).

The results show that there is a significant relationship between constraint, efficiency, network size and gender of researchers with researchers’ scientific productivity. Concerning the effect of the co-authorship strategies on the scientific productivity of researchers, the results indicate that different strategies have a different effect on the productivity of researchers in this field and between type of co-authorship strategies and scientific productivity there is a direct relationship. In this regard, researchers who have chosen structural holes and cohesion strategies as their publishing style have the highest levels of productivity, respectively. The results of regression analysis also showed that about 53% of the variability of criterion variable (productivity of researchers) is explained through the sum of predictive variables (constraint, efficiency, network size and gender of researchers).

Conclustion: 

The results indicate that scientific productivity of researchers is a function of their application of co-authorship strategies. Also, gender of researchers is a very important factor in researcher's scientific productivity in the co-authorship social network.

The present study is to identify theories of knowledge management and determine the impact of each theorist on subsequent works.

This is an applied scientometrics research that was carried out using library methods and citation analysis. Bibliographics information related to 69 theories and categories of knowledge management along with their reference information was taken from the web of science database and then citation analysis and bibliographic coupling analysis were performed. HistCite, VOSViewer, Netdraw and Ucinet software were used for analysis and visualization.

The results showed that the peak of the emergence of knowledge management theories was in the nineties of the nineteenth century by management scientists. A few of the theories were proposed by scientists from the fields of knowledge and information science, computer scientists and a few other disciplines. Citation analysis showed that the theories mainly cited management sources; however, there were also citations to the sources of other fields especially to library and information science, Computer, Technology and innovation, psychology, philosophy, and knowledge management. Bibliographic coupling map showed that about four-fifths of the theories were linked to each other as a whole network.

Conclustion:

 Noaka is the most important theorist in the field of knowledge management. The theory of organizational knowledge creation and company theory have had the greatest impact on the effects of the past.  Historiography of the works showed that works by Nonaka, Grant, Prahalad, Hamel, and Spender has played an important role in linking older theories to more recent works.

In line with the requirements of third-generation universities, the purpose of the present study is to examine the current situation in order to find out the possibility of developing cooperation between university and industry based on the contribution of research outputs from this collaboration.
In this research, a triple helix model and mutual information approach were used for analyzing data. A total of 2107 articles derived from the three sources of the Science Citation Index (SCI), the Social Science Citation Index (SSCI) and the Arts & Humanities Citation Index (A & HCI) in the Web of Science database in the period 2008 to 2017 relating to the Shahid Chamran University of Ahvaz.
From the subject point of view, the fields of medicine, agriculture and engineering have the highest rate of university and industry co-publication. From the spatial map of the structure of scientific collaboration between universities and national and international research institutes we find the highest co-publishing rates in the national institutes, cities of Tehran and Ahvaz, and in the international institutes, the two countries, USA and Sweden, have the highest co-publishing rates with Shahid Chamran University of Ahvaz.
Conclustion: Despite the growing trend of scientific production at Shahid Chamran University of Ahvaz, the limited interaction and synergy between the three pillars can be considered as one of the main weaknesses of the dynamics and development of technology and innovation in this university. This assumption is also true in studies of universities throughout the country. For this reason, universities in the country in general, and Shahid Chamran University of Ahvaz in particular, should move on to transition to the third generation Universities development and promotion, to address issues such as commercialization of scientific products and specific policies, and a culture of co-operation and co-publishing Promote for more efficient results.

Altmetric is a complementary method of assessing the academic performance of individuals, organizations, institutions, and countries in social media. Due to the large volume of data related to the interactions in STI outcomes, there is no choice but to implement accurate models for analysis and decision making. The Quadruple Helix model examines the research outcomes in four spaces of innovation, knowledge, Consensus, and government with distinctive attention to the "innovation space". The present paper examined the impact of researches of D8 countries includes Iran, Turkey, Pakistan, Bangladesh, Indonesia, Malaysia, Egypt, and Nigeria using Altmerics scores of their indexed journal in Clarivate Analytics. The results showed that researches in the medical sciences in all countries were strongly considered in social networks. However, researches from Turkey, Iran, and Pakistan got more attention in all media. The interaction of research based on four spaces of this model in Iran is limited to medical sciences and biology. Conclustion: As for the diversity of disciplines, Egypt (medical sciences, material engineering, information science, physics, biology, chemistry, and physics), and Nigeria (medical science, Psychology, agriculture, information science and computer science, biology and chemistry) were better compared to other countries. Moreover, Mandalay and Twitter were highly active and played an important role in interacting especially in two spaces of innovation and knowledge in all countries.

This study aims to investigate and analyze the altmetric indicators of journals in the field of "Social Sciences and Humanities" in the Sage Scientific Database, as well as examine the relationship between the altmetric indicators and the qualitative performance of journals in the Scopus database.
The study is applied research in terms of the purpose, including an analytical approach that uses Altmetrics quantitative indicators from "Altmetric Explorer" database and quality performance indicators of publications through "Scopus" and "Sage" database gathered in Excel at the journal level. Both descriptive and inferential statistics utilized to analyze data in SPSS software.
11.56 % of the surveyed journals, did not have altmetric attention Score. Just 3.26 % of the journals had altmetric coverage of 100%. Sub-field of Psychology and Counseling based on two quantitative indicators allocated significant contribution. Twitter was by far the most important social media (66.49%). There is a positive significant correlation between the altmetric coverage indicator and quality performance metrics, as well as mean altmetric score and quality performance metrics.
Conclustion: Higher quality journals in the field get more visibility via social media. Paying attention to this point is useful and applicable for researchers and policymakers in order to improve the quality performance of journals.

The purpose of this study is to investigate and analyze the content of studies on the application of knowledge management in startups with a meta-analysis approach.
The present study is fundamental in purpose and it is done inductively. The data collection method is library studies using the cross-sectional approach with the meta-analysis approach. The research data was collected based on articles published in the scientific databases between 2012 and 2019.
thirty one validated articles on knowledge management in startups were identified and classified into two groups of specialized knowledge management journals and non-specialized journals. The results show that 8 articles have been published in six non-specialized journals with an average (1.3) and 23 articles in 12 specialized journals with an average publication of 1.92 per journal. The Journal of Knowledge Management with Effect Size (0.229); The International Journal of Knowledge Management with Effect Size (0.135) and The Journal of International Entrepreneurship and Management Journal with Effect Size (0.110) have the largest effect size. However, the International Journal of Innovation Studies has the least effect. Also, the assumption of homogeneity is rejected and the assumption of heterogeneity between the studies is confirmed. It was also found that the effect size of specialized journals was 0.056 and, since it was within the confidence range, it was statistically significant.
Conclustion: The findings of this study indicate that the publication of KM articles in startups is not limited to specialized journals and many articles have been published in non-specialized journals. This suggests the development of the concept of knowledge management among researchers as an interdisciplinary concept; in the way that research in different areas of organization management has considered knowledge management as an influential factor.

The purpose of the present study is to review the findings of the researches of Iranian and world research on the evaluation of scientific products in the fields of humanities and social sciences and suggested methods and indicators for evaluating scientific products in these fields.
This study was conducted using a systematic review method. For this purpose, relevant researches were searched in international and domestic databases without regard to time limit and finally, a total of 45 articles were analyzed.
Given that publishing and citation patterns in the humanities and social sciences are different from basic, natural and engineering sciences, they cannot be compared and evaluated with the same methods and indices. The unique nature of humanities and social science research is such that quantitative methods such as bibliometric and scientometric methods cannot be used to assess the quality of research in this field.
Conclustion: In order to evaluate the quality of the scientific outputs of humanities and social sciences, quantitative approaches should be considered as complementary methods along with qualitative approaches. The indicators and criteria used for these areas should be a combination of quantitative and qualitative indicators.

The purpose of this study was to assess scientific participation of Iranian postgraduate students in the field of knowledge and information science from 2008 to 2014 based on data of the ISC.
This research is a descriptive scientometric study that has studied the scientific documents of knowledge and information science postgraduate students documents indexed in the ISC database (period 1387-1384) by using scientometric indicators.
The findings showed that postgraduate students have published 490 articles in journals indexed in the ISC database during the period of 1387-1394. PhD students had the highest number of scientific production and the dominant pattern among them in doing research was group collaboration. In terms of scientific collaboration, The students of Ferdowsi University of Mashhad were in the first rank and then the students of Shahid Chamran University, Islamic Azad University and the University of Tehran were in the next ranks, respectively. In terms of the number of scientific publications, the students of Shahid Chamran University were in the first place with 97 documents and the students of Ferdowsi University were in the second place with 96 documents. Other findings showed that there is a significant difference between the type of university and the amount of students' scientific productions.
Conclustion: The scientific production of the students is growing over the years however with regards to the number of these students (10.0) this growth is not desirable and significant. This requires more attention of educational groups and policy makers to make the best use of the potential of graduate students.