Scientometrics Research Journal (24235563)((شماره 2، پاییز وزمستان))pp. 115-138
Purpose: Given that university-industry cooperation is associated with the transfer of knowledge and technology, one of the key indicators of a country's development is the effectiveness of collaboration between universities and industry. Due to the significance of this topic, the present article seeks to analyze the state of cooperation between Iranian universities and industry based on the co-publication of articles indexed in the Web of Science database from 2010 to 2022, particularly in terms of financial support. The findings of this research will inform national policymakers and planners about the current state of university-industry cooperation in Iran, enabling them to devise appropriate strategies to enhance this collaboration. Methodology: The research method employed in this study is both descriptive and quantitative, utilizing scientific techniques such as word co-occurrence analysis. The statistical population for this research comprises 2,891 articles. This study encompasses all articles that received financial support, focusing on the collaboration between universities and industry in Iran from 2010 to 2022; therefore, no sampling method was applied. Instead, a census sampling method was utilized. To examine the collaboration between universities and industry through scientific publications (articles), each article must include at least one author affiliated with an industrial organization and one author affiliated with an academic institution, both of whom must have a financial sponsor. Specific labels were used to identify the organizations involved. Data collection was conducted using the Web of Science database, and the data were analyzed and visualized using BibExcel and VOSviewer software. Findings: According to the findings of the current research, the highest number of financial supports for cooperation between industries and universities in Iran was recorded in 2021, with 430 articles published. In contrast, the lowest number was recorded in 2010, with only 89 articles. On the international front, 78 countries have co-published with Iran, with the United States leading in the number of collaborative articles. Other countries that have engaged in significant cooperation with Iran include England, Canada, Australia, France, New Zealand, China, Germany, Italy, and Russia are other countries that have had a large number of cooperation cases in Iran. The data related to financial support institutions showed that the National Iranian Oil Company along its subsidiaries (9.79%); Iran National Petrochemical Company along its subsidiaries (4.74%); Support fund for researchers and technologists (4.08%); Islamic Azad University (3.22%); National Gas Company and its subsidiaries (3.18%); University of Tehran with (2.94%); and Tehran University of Medical Sciences (2.80%) have provided the most financial support. Out of a total of 251 subject areas of Web of Science, 151 areas have received financial support in cooperation between the university and the industry. Based on thematic analysis, chemical engineering fields (10.27%); environmental sciences and materials science (4.28%); energy and fuels (4.21%); and water resources (3.65%), are the most used topics in the articles. Conclusion: The annual growth rate of articles receiving financial support indicates that the 13-year collaboration between universities and industry has experienced significant fluctuations, with some years witnessing a decline. Furthermore, the leading industries providing financial sponsorship include oil, petrochemicals, and gas. Most of these companies are supported by government organizations and are among the most profitable in the country. Consequently, a substantial portion of the investments in this collaboration is derived from the government budget. In terms of the subjects covered in the articles, the results reveal that, while the fields are diverse and extensive, there is a noticeable absence of certain topics, particularly in the humanities and social sciences.
Scientometrics Research Journal (24235563)((شماره 1، بهار و تابستان ))pp. 121-154
Purpose: Given the significance of universities, their rankings, research outputs, and the impact of leading researchers in the field, the research aims to address the following questions: 1. What factors do top researchers adhere to in order to achieve success in their endeavors? 2. What factors will the university follow, based on the experiences of top researchers, to ensure success in their research activities? 3. How can students be effective in their research activities based on the experiences of top researchers? Methodology: The current research is of an applied nature and utilizes the qualitative content analysis method. The research community included all the working and retired faculty members of Isfahan University. A total of 40 individuals (5 women and 35 men) were selected using purposeful and snowball sampling. Based on data from the SciVal database, the top 10 researchers at the university were identified in terms of the number of international outputs (ranging from 243 to 87) and citations (ranging from 3690 to 1037). These researchers come from various fields. Additionally, using the Research Specialists database, other top researchers at the university were identified through interviews conducted using the snowball method. These researchers were selected based on their quality research, social impact, effective scientific communication, fundraising abilities, collaboration with other institutions and organizations, engagement with the industry, mentorship of selected students, and effective management and entrepreneurship in the field of research. The interview was terminated when the data reached saturation and repetition, and no new points were extracted from the content of the subsequent interviews. A semi-structured face-to-face interview was conducted to gather the opinions of the participants in the research. The findings were analyzed in three stages: open coding (extraction of sub-components), central coding (formation of components), and selective coding (selection of concepts) using MAXQDA 2020 qualitative data analysis software. Findings: The items mentioned by the participants in the interviews as factors influencing success in research activities can be categorized into three concepts based on their frequency and importance: factors related to faculty members (265 codes), university-related factors (244 codes), and factors related to students (12 codes). Each concept includes various components. The factors related to faculty members include students, individual characteristics and motivation, scientific communication, research orientation and purpose, research area, industry and society relationships, skills, research outputs, adherence to professional ethics, and thesis. The components related to the university factor include communication with industry and society, research policies, promotion regulations and policies, policies and programs, students, facilities and infrastructure, skill development, support and respect for faculty members, internationalization, financial issues, management, recruitment, research groups, administrative issues, and mission orientation. Skills and determination are also considered essential components of a student. Conclusion: In order to promote research activities at both the individual and organizational levels, it is necessary to address them from various dimensions and provide comprehensive conditions. On the other hand, the university is considered a fundamental institution for this purpose, due to the expertise and knowledge of its faculty members and students. On the other hand, the activities of faculty members and students depend on the university platform. Despite the influence of the context and environmental conditions of each university in the planning process, the individual and organizational factors mentioned can be generalized to other individuals and universities facing similar conditions. These factors can also be adjusted to fit the specific context of each university. On the other hand, there are upstream factors that are policy-based and implemented at the macro level, which can be utilized and adapted to various academic institutions.
Iranian Journal of Information Processing and Management (22518223)39(1)pp. 63-100
Considering the function of humanities and its comparison with other sciences, this research seeks to examine the scientific outputs and the weight of each evaluation criteria and indicators, and the relationship between each output and criteria in the evaluation of these sciences especially in language and literature. In terms of purpose, the research is applied, and in terms of the research implementation process it is of a sequential and exploratory type. The steps of the work are as follows: 1. Identification and weighting of scientific outputs through the three steps of the library method, conducting interviews, and the Analytical Hierarchy Process (AHP); 2. Identifying the evaluation criteria of scientific outputs with the library method; and 3. determining priorities for evaluating scientific outputs through concurrent function deployment (CFD). Based on the findings, scientific outputs were divided into two categories: 1. Formats: scientific journal article, conference article, book, research project, and dissertation/thesis; 2. Activity: in policy-making, social (scientific-promotional), social (media), and economic contexts. Evaluation criteria are also divided into 8 categories: platform for creation, presentation and publication; writing structure; content; impact in online environment; scientific impact; social impact; economic impact; and cultural impact, each of which includes indicators. Finally, outputs and criteria have been prioritized according to three approaches and goals: production of science and promotion of knowledge foundations, applicability and responsiveness to society’s problems, literary creation/creative literature. Considering the importance and necessity of different evaluation of each field and discipline according to the nature of each one as an effective factor on the application and effectiveness of their scientific outputs, research policy makers can use a new approach in decision-making and establishing policies for evaluating the scientific outputs of the language and literature fields and humanities according to the results.
بازیابی دانش و نظام های معنایی (29808243)(26)pp. 129-156
This study seeks to determine the level of knowledge and skills of PhD students in publishing their resources in scholarly journals and assess the relationship between publishing skills in journals and variables of field, gender, age and its relationship with the number of articles published in national and international journals. Finally, the impact of participating in related workshops is on the level of this skill. Methodology is an applied type with a quantitative and survey method. The statistical population includes all PhD students at the University of Isfahan in the number of 2432 people. The sampling was stratified random, the volume of which was estimated to be 332 using Krejcie and Morgan table, The skills rate of students was moderate and varied in different fields. But gender and age had no effect on its rate. The level of literacy was also positively correlated with the number of articles published in internal and international journals, and participation in related workshop increased its average score. Since the students' skills were moderate, this research could be the beginning of a study that, like information literacy, creates a framework called publishing literacy in scholarly journals for novice researchers to benefit from. The results indicated the acquisition of this skill, the need to plan related training courses, the impact of the author's role in increasing this skill, the need to modify and pay attention to regulations and criteria for student admission, and the importance of holding related training workshops by universities.
Mansouri, A., Forouzandeh-shahraki, M., Erfanmanesh, M.A.
مدیریت اطلاعات سلامت (17357853)(3)pp. 126-131
Introduction: One of the indicators of research outputs of universities is assessment of the capability to of transferring knowledge to technology via assessment of citedness of scholarly outputs by patents. Current research aimed to investigate the status and factors associated with the citedness of scholarly outputs by patents in Scopus for the type 1 medical science universities of Iran during 2000-2015 period.Methods: Research population comprised of all scholarly output published by eight type 1 Iranian medical science universities (Tehran, Shahid Beheshti, Shiraz, Isfahan, Tabriz, Mashhad, Ahwaz, and Kerman) in Scopus database during 2000-2015 period. Data were collected from Elsevier’s SciVal. Moreover, data analysis was conducted using descriptive correlation statistics.Results: Of 76111 studied publications, 998 scientific outputs were cited 3145 times from patents. Citedness rate of medical science universities’ scholarly output were found to be higher than the average rate of Iran (0.39%), but lower than the international average rate (1.1%). The highest and lowest shares of cited publications by patents were seen in the Tehran University of Medical Sciences (1.53%) and Tabriz University of Medical Sciences (0.58%), respectively. Results of running a series of multiple linear regression tests showed that four indicators, namely Source Normalized Impact per Paper (SNIP), SCImago Journal Rank (SJR), total number of publication’s authors, and total number of publication’s contributing institutions had statistically significant impacts on possibility of citedness of scholarly outputs by patents.Conclusion: In addition to the topic and practical nature of the scholarly output, results of the study showed that research collaboration, as well as publishing in high quality journals, has an impact on getting cited by patents.
Scientometrics Research Journal (24235563)((شماره 2، پاییز وزمستان))pp. 17-32
Purpose: Science and production is a consequence of research which is the main duty of universities and research centers. There are indicators which determine the differences among countries. Measuring and assessing research results offer suitable techniques for financial and organizational planning. The aim of this study is to determine the extent of science poverty of Islamic countries in medical sciences. Methodology: The research method is descriptive-applied and scientometrics indicators have been used. Research data extracted from the Web of Science Database in May 2014. The research community consisted of all scientific products of the Islamic countries in the field of medical sciences from 1978 to 2014. Findings: findings showed that Turkey ranked first with publishing 172072 documents and 41.62 scientific competency, Egypt ranked second with publishing 30208 documents and 7.31 scientific competencies, Saudi Arabia ranked third with publishing 29117 documents and 7.04 scientific competencies, Iran ranked fourth with publishing 27799 documents and 6.72 scientific competencies. Conclusion: Results showed that the contribution of Islamic countries - as a group of developing countries - in the field of medical sciences is very low compared to the total scientific output of the world, and these countries need harder work. Despite all efforts made so far, we need more attention and scientific products in this area.
Mansouri, A., Mansouri, A., Tavakolizade ravari, M., Ravari M.T., Makizadeh, F., Makkizadeh, F., Tusi, Z., Tusi Z.
Iranian Journal of Information Processing and Management (22518223)(1)pp. 295-310
The aim of the current research is the analysis of patent classes to recognize the subject areas of RFID technology. The research is a descriptive one and uses the clustering and the social network analysis techniques for data analysis. The research population consisted of 35, 627 patents that the term “RFID” or “Radio Frequency Identification” occurred in their abstracts or titles. Data analysis was performed through softwares like Excel, SPSS, NetDraw, and RavarMatrix. The findings showed that the growth of patents in the intended technology followed an exponential regression. The important subclasses were determined by two factors: number of years and frequency of use. It resulted in 803 important subclasses. The result of clustering for main classes also revealed that the RFID technology was associated with 31 subject areas. The axes or runts of these areas were Telecommunication and Electrical Communication. Social Network Analysis confirmed that the “Electrical Communication” have-had the most significant role for bridging other classes.
Tavakolizade ravari, M., Mansouri, A., Makizadeh, F., Tusi, Z.
Iranian Journal of Information Processing and Management (22518223)(1)pp. 75-91
The current research aims at studying the epidemic model of the term RFID within the classes of patents. Methodology: The research is descriptive and has been conducted based on the mathematical models of diseases. Research population consists of 35,627 granted patents from the USPTO database those which the terms RFID or Radio Frequency Identification occur in their titles or abstracts. Data analysis was performed through software like Excel, SPSS, and Ravar-Matrix. Findings show that the cumulative growth of sub-classes with the term RFID follows an S-logistic model. This is an evidence of natural growth rate for assigning the term RFID to the USPTO sub-classes over the years. Other finding reveals that the term RFID has been entered into and exited from the sub-classes of patents like the SIS epidemic model of diseases. As a final conclusion, the most technical fields those that are susceptible for RFID technology, have been met this technology. On the base of SIS model, the epidemic of RFID technology has been reached a balance.
Iranian Journal of Information Processing and Management (22518223)(3)pp. 657-684
This study aimed at analyzing the impact and importance of power and electronics patents in technology development. Citation analysis was used as the research method, using the especial formulas of the forward-looking and backwardlooking measures. The research population includes all patents in the field of power and electronics recorded from 1987 to 2006 in the USPTO. Analyzing the importance of patents in knowledge flow and their past and future effect on technology development indicated that at least 10 years should be passed from their release in order to their real effect on technology be seen. The mean of generality grade to determine the effect and application of patents in different subject areas showed that in addition to patents’ effect in electronics field, they have a high tendency to have relations with other subject areas. It was also found that there existed a significant relation between forward and backward looking measures, showing the dependence of future effect of a patent to its backward citations.
Iranian Journal of Information Processing Management (22518231)38(4)pp. 1367-1393
Keyword extraction is one of the most important issues in text processing and analysis and provides a high-level and accurate summary of the text. Therefore, choosing the right method to extract keywords from the text is important. The aim of the present study was to compare the performance of three approaches in discovering and extracting the subject keywords of e-books using text mining and machine learning techniques. In this regard, three experimental approaches have been introduced and compared including the successive implementation of the clustering process, improving the quality of clusters in terms of semantics and enriching the stop words of a specific field, use of specialized keyword template, finally, the use of important parts of the text in discovering and extracting key words and important topics of the text. The statistical population includes 1000 e-book titles from the subject fields of library and information science based on the congress classification system. Bibliographic information of e-books was obtained from the Congress Library database, then the original text was prepared. The extraction of topic keywords and clustering of training data was performed using the non-negative matrix factorization algorithm with three experimental approaches. The quality and performance of the subject clusters resulting from the implementation of three approaches in the automatic classification of experimental data were compared using a support vector machine. The findings showed that the Hamming loss (0.020) and in other words the error rate in the correct classification of experimental texts in the third approach is far less than the other
