farzaneh ghanadi nezhad

With the increase of studies in the field of university-industry cooperation, the need to integrate studies that have investigated the research process of this interaction has become more apparent. In this regard, the present research analyzed the review and bibliometric studies of the interaction between university and industry using a scoping review. The guide provided by Daudt, Van Mossel and Scott (2013) is the basis for conducting the scoping review. We used international databases, and 2,590 articles were retrieved. After sampling based on the PRISMA diagram and using the JBI institute for the quality of the selected sources, 64 articles were selected for the final analysis. A review of studies analyzing university-industry interaction showed that research publications in this field have grown despite random fluctuations. Various factors account for the growth of studies in this field, including transforming the missions and activities of universities by moving towards entrepreneurship and commercialization of research and the formation of entrepreneurial universities, increasing technology transfer offices, the growth of inventions in universities, and expanding research collaborations. The most crucial obstacle to university-industry alliances is the difference in their goals and missions. Intermediary institutions, especially science parks, and incubators, are essential for effective communication between universities and industry. Some of the most critical topics in University-Industry Interaction are innovation, economic development, sustainable development, science parks and incubators, start-ups, spin-offs, knowledge transfer, technology transfer, entrepreneurship, and research commercialization.

Analyzing the subject structure of research in this field can provide valuable information about the current state of the field, including its issues and needs, strengths, gaps, and shortcomings. The present study aims to analyze the global research topics in information science and library science, while also reviewing research topics from previous years and identifying thematic gaps. This analysis will provide a foundation for planning and policy research in this field.

The present study utilized an automated classification technique. Data analysis was performed on 85,403 articles indexed on the Web of Science website between 1945 and 2019 in the field of library and information science. The source and tool used for extracting research data was Web of Science. After preparing and pre-processing the data and formulating the classification plan for articles across 31 thematic categories, the logistic regression algorithm has been employed for the automatic classification of articles. This algorithm assigns articles to their respective thematic categories using the Cosine similarity criterion. The various stages of the research were performed using the Python 3.7 programming language and the Pandas, Numpy, NLTK, and Plotly software packages.

Most of the global research in this field is dedicated to information technology, while the field of organizational management has the least amount of research. The growth trend of research in many thematic areas is increasing. However, there is further growth in areas such as web studies, information technology, information behavior, user studies, information retrieval, and search engines. After the 1990s, popular terms such as social media, big data, virtual library, IoT (Internet of Things), machine learning, deep learning, data mining, open data, artificial intelligence, natural language processing, cloud computing, virtual reality, augmented reality, and machine translation have emerged in research in this field. It appears that the utilization of keywords pertaining to traditional subjects in the field has declined, while the usage of concepts encompassing new topics related to technology and the web has increased. The rapid growth of fields such as web development, technology, artificial intelligence, and data mining has led to the evolution of research topics and increased connections with computer science and information technology, particularly in recent years. The changes in the subjects of this field can be attributed to the development of the web and advancements in technology. Additionally, the concepts and research topics in this field have had an impact on globalization, communication progress, and overall development in various economic, social, and cultural dimensions. 

The conclusion of the study highlights the thematic trends in library and information science research over different time periods. It also identifies the weaknesses in the scientific output of this field, while outlining the evolutionary process and the path of progress and development in the field of science. Due to the fact that scientific outputs are derived from the issues, needs, and priorities of a society at any given time, studying them can help clarify the most important issues and research needs in the field of library and information science. This, in turn, can provide a foundation for identifying future research needs and subjects in the field. In other words, having a clear understanding of the subject areas of library and information science will help researchers in this field identify the most important issues and needs. This, in turn, will enable them to take appropriate actions when selecting topics for future research. By conducting needs-based research, we can lay the groundwork for policy development and research planning in this field. This approach will also help address potential challenges and problems that may arise. This is despite the fact that if the needs and issues are ignored, research resources and credits will be spent on topics that do not have the necessary priority and importance. It cannot be expected that the findings from these topics will solve the problems and pave the way for the advancement of this field.

One of the important aspects of scientific research that can provide the basis for scientific growth and development is their thematic content. Considering the importance of paying attention to the experiences of advanced countries in problem-finding and selecting research subjects, the present research aims to compare and analyze the subject trends of library and information science research at the national and international level.

A review of various studies shows that few studies have been conducted with the approach of comparing the subject trends of library and information science researches at the national level with the researches conducted in advanced countries. China (Rochester & Vakkari, 1998) and India (Dora & Kumar, 2019) were among the countries that compared national and international researches. The results showed that the research topics of this field in more advanced countries were strongly influenced by the educational, research and social structure of those countries and were very different from the research topics conducted in India. The only comparative study conducted in Iran in the field of librarianship and information science was related to (2000) Usefi, which examined the studies of more than 25 years during a limited period (two years).

The present study is of applied type and has been done with a comparative approach between the fields of national and international research. The study population includes 84875 articles indexed in Clarity Analytics database during the years 1945-2019 and 4664 Iranian articles indexed in the ISC database during the years 1972-2019 in the library and information science. The source and tool for extracting research data to review international research topics was the Clarivate Analytics database and the ISC database to review Iranian research topics. In this study, in order to develop a thematic classification plan of articles, the method of reviewing resources and to assign articles to each of the thematic categories, the method of Automatic classification, which is one of the applications of textual analysis, was used. Data analysis was performed by calculating the frequency percentage and Chi-square test and using SPSS 22 software.

The findings showed that there is a significant difference between the number of research areas of library and information science at the national and international level. Fields such as information technology, web studies, information economy, artificial intelligence, data mining, information systems, search engines, and databases were more trending among international research, and fields such as theoretical foundations, fields related to libraries and their functions, research, knowledge management, information retrieval and scientometrics were more common among Iranian researches.

During recent decades, the world has been moving towards digital and virtual space. In this space, developments such as the increase in the volume of information and the emergence of big data on the one hand and the development of information and communication technologies and artificial intelligence tools and big data processing on the other hand, have affected the level of expectations of the people of the society from the services of libraries and the organization and accessibility of information. Has set. For this reason, librarians, information specialists and managers of libraries and information centers have taken advantage of the achievements of fields related to computer science, information technology and artificial intelligence in order to face new developments and manage large amounts of data in order to transform the traditional functions of libraries. In addition, researchers in the field of information science and epistemology, especially at the international level, are more and more interested in studying and researching in the field of data science and acquiring the most up-to-date scientific achievements and knowing the latest related tools and technologies in order to play their effective role in this space. are competitive.

The results of the current research show that the field of library and information science at the international level has established a stronger relationship with other fields, especially artificial intelligence, computer science, information and communication technology. Also, at the global level, digitization processes and information growth are faster and smart technologies and tools have made more progress than third world countries and especially Iran. In other words, advanced countries due to having more economic and political power, more advanced social structure, being a leader in information and communication technology developments, more financial and spiritual support from the governments and officials of these countries for researchers and providing a suitable platform for scientific studies, access Faster access to information sources, and the appropriateness of educational and research programs with the needs and expectations of society members, have a more targeted planning to identify the problem and choose a topic in line with the real problems and needs and in sync with the developments of the day, to carry out their research. Therefore, at the international level, applied topics based on web and internet developments and information and communication technologies should face more trends and a faster growth trend than Iranian research topics.

Considering the role of studying the thematic trend of knowledge and information science research in showing the weaknesses, shortcomings and the path of progress and development of that field, the present study intends to study the topics of articles conducted by Iranian researchers at the national and international levels in this field.

The present study is applied and has been done with the approach of text mining and automated classification analysis. The study population includes articles extracted from the website of Iranian journals indexed in the ISC database during 1977-2019, and the articles done by Iranian researchers that have been indexed in the Web of Science website from 2019-1945. All preprocessing and classification processes are implemented in the Python programming language.

In order to categorize the studies of knowledge and information science, by examining the study backgrounds and combining the existing classifications and consulting experts in this field, a plan consisting of 31 subject areas was prepared and based on the analysis. The findings showed that most of the researches in this field are focused on libraries and information centers and archives; respectively; Research, study and publication; Scientometrics and informatics; and Internet and web studies. In contrast, areas of artificial intelligence; Semantic and ontological web; Information and knowledge-based society; and information systems have the least amount of research. An examination of the concepts and vocabulary used in the studies of this field showed that the word "library" in Iranian articles is the most frequent concept among other concepts in this period. Other commonly used concepts in this course include: Information, University, Science, Study, Knowledge, Management, Evaluation, Web, Library, Technology, Services, and Librarians. Among co-occurrence terms, the terms university library, public library, knowledge management, information science, information retrieval behavior, information technology, medical sciences, national library, digital library, central library, and information retrieval were among the most commonly used terms. Common use of terms such as knowledge, management, technology, knowledge management and information technology, digital, digital library, social network, information literacy, cloud computing and e-government shows the increasing attention of Iranian researchers to interdisciplinary and technology-based topics. Concepts and topics of Iranian research, especially in recent years, have undergone changes in various economic, social and cultural dimensions under the influence of web development and the development of semantic technologies, smart tools, globalization and advances in communication, and comprehensive development.

The results of the present study can help in planning and decision-making regarding recognizing educational and research needs, formulating curricula, and guiding future scientific outputs towards priorities and optimal allocation of resources to them. These results can also guide researchers in deciding to select future research topics in knowledge and information science.

The roots of most shortcomings and problems related to problem-finding, topic selection, and part of the damage of studies in knowledge and information science can be caused by the uncertainty of the basic issues and challenges of this field, and the lack of attention to current and future study needs and fields. This makes obvious the necessity of studying and researching issues and future research needs in this field. In this regard, the current research aims to identify the issues and challenges ahead and future study areas in the field of knowledge and information science from experts' viewpoints.

The approach of the current research is qualitative in terms of the type of data. An electronic interview based on an open-response questionnaire was used to collect data. The studied population included Ph.D. students and graduates, and faculty members of public and private universities affiliated with research institutes in this field in Iran. In order to determine the sample size, the purposeful sampling method was used. The criteria for selecting the samples were willingness to participate in research and having at least 5 years of service experience in educational and research centers related to the field of knowledge and information science. According to the final purpose regarding the study of issues and leading subject areas, it was checked that the people participating in this research have, as much as possible, the research backgrounds related to the study of issues, research areas of knowledge and information science, needs, and problems. At the end of the questionnaire, by using the snowball sampling method, the aforementioned people were requested to introduce other people with experiences and views on the issues, challenges, and subjects of the field, to participate in the study. Until theoretical saturation and reaching repetitive information, sampling was continued. Finally, the opinions of 22 experts in knowledge and information science were used. The interpretive analysis method was used to analyze qualitative data and identify components. Data management and coding were done using MaxQda 2020 software. To ensure the reliability of the results, the retest reliability method (coding stability index) was used, and its value was 83%.

The analysis of transcripts of interviews led to the identification of 54 problems in this field. According to these findings, many of the challenges identified in the current research are not only specific to knowledge and information science, and some of them are also relevant in other fields, especially humanities and social sciences.The origin of some of these problems goes back to environmental conditions including social, cultural, economic, technological, etc. factors, and in general, to the policies and conditions governing the society, and some others are affected by the conditions governing the field itself. Among the identified issues and challenges, experts in knowledge and information science put special emphasis on issues related to education and the higher education system. Most of the problems raised by them were related to the state of the scientific outputs of this field. In addition, considering the rapid process of changes today and their continuation in the future, one of the most important concerns of specialists in this field is the ability to accompany and adapt to the process of comprehensive changes and manage them in order to achieve their goals and missions. The subject areas of the future were categorized by the specialists of this field in 10 main areas including education, research and science production, user studies, information organization, information retrieval, virtual libraries, knowledge management, information services, librarians and information specialists, and theoretical and philosophical foundations. According to the results regarding future issues and subject areas in the field of knowledge and information science, it can be acknowledged that, in general, the focus of future studies will be on 6 main axes: Issues related to users and their interaction with information and information systems; Topics related to information science and content management in cyberspace, including big data organization and digital content recovery; Training graduates and information specialists for effective employment in the changing work environments of the future and preparation for entrepreneurship and self-employment; Evaluation and development of science and research; Developing the relationship between information science and epistemology with other related fields including computer science, information technology, artificial intelligence, management; Futuristic studies and the use of their achievements in order to improve and keep pace with future developments; Digitization and virtualization of libraries and information centers, services and activities related to knowledge and information science.

On the one hand, these results can help policymakers and scientific, educational, and research planners in allocating financial resources to basic issues and topics, and on the other hand, they can be a guide for researchers in problem-finding and choosing practical and problem-oriented topics. These results can also provide a basis for the supervisors of this field to pay attention to the upcoming issues and challenges and plan to smooth them out.

Considering that the volume of publications is growing at an increasing speed, forecasting the research trend and identifying emerging issues is of particular importance. It should be noted that choosing the right method for accurately predicting the research trend is very important, which has been the focus of many researchers in recent years. In this regard, the present research aims to present the findings of research conducted in Iran and the world regarding the most important approaches and proposed methods for predicting the trend of scientific outputs in the future.

The present study was conducted using the scoping review method. The implementation of the current research includes 5 stages: 1) Identifying research objectives, 2) Identifying related research, 3) Selecting research, 4) Data extraction, and 5) Summarizing, discussing, and reporting the results. To identify relevant research, international databases in English (ScienceDirect, Emerald, Scopus, Web of Science, and ProQuest) and Iranian databases in Persian (Magiran, Noormags, Civilica, SID, and Irandoc) were searched without considering the time limit. In this research, the PRISMA diagram was used for the sampling and data selection process, and the JBI evaluation tool was used to check the quality of selected sources. Finally, 117 effects were analyzed.

An overview of the studies carried out in forecasting research trends shows that these studies have attracted the most attention of researchers in the world and in Iran during the last two decades (especially from 2012 onwards), and the increasing trend in conducting these researches is evident. The most important studies conducted concerning the future of studies were the studies that identified trends and emerging research topics to determine the future direction of studies. In different periods, various approaches have been used to determine emerging issues and predict future research trends, which can be divided into 5 main categories: scientometric, quantitative and statistical, qualitative, mixed method, text mining, and machine learning. A review of studies showed that the most common approach used to identify emerging topics and predict future research trends was the scientometric approach. However, in recent years, due to the limitations of quantitative analysis and scientometric methods to determine the direction of future research, and with the increase in the volume of scientific production and the problems resulting from the analysis of large volumes of data, advances in computer technology and word processing tools. Text mining and machine learning approaches have been used to identify emerging areas and predict future research trends due to their high power in big data analysis along with traditional scientometric methods. The most important disciplines that have paid attention to the problem of predicting the trend of scientific outputs are related to sciences and engineering. It seems that paying attention to this issue in the mentioned fields can be because the speed of developments in these fields is higher and as a result of the necessity of conducting studies to predict the future developments of studies to synchronize and deal with them correctly before other fields and more has been The most important sources to be analyzed to achieve the future path of researches are the articles published in journals. The reason for the focus of these studies on journal articles can be that in any scientific field, articles are usually the result of research projects, theses, and other research experiences, which due to the limited access to these sources, can allow researchers to quickly access the results of these studies. and provide more convenience. On the other hand, scientific publications publish the latest scientific achievements and research findings in the shortest time, and this causes researchers and those engaged in scientific activities to be aware of the latest and most reliable scientific and research achievements. Therefore, to study the future trend of scientific outputs, articles have been considered more than other sources.

Different models and approaches have been proposed by researchers to follow the evolution of scientific products in the future. But it seems that a combination of quantitative and qualitative approaches is needed to make accurate and reliable predictions and overcome the limitations of each of these methods. Be used simultaneously. In addition, utilizing expert opinions can be considered as a complement to scientometric analysis to predict the future. Having a future research approach in scientific policy-making and research management can play an effective role in charting the prospects of scientific development and provide the possibility of policy-making and planning for the future for researchers and stakeholders in various fields.

The continuation of comprehensive developments in the future and their impact on various scientific fields, reveals the need for systematic studies on future knowledge. One of the most important aspects of the field of knowledge and information science from future developments that clarifies the need for future research in this field is the study of research topics. In this regard, the present study seeks to forecast the thematic trend of future research in this field in Iran by 1409. This research is of applied type and has been done with text analysis and deep learning approach. After pre-processing and thematic classification of research, deep neural network algorithms have been used to model past research and Forecast future topics. The study population includes articles extracted from the website of Iranian publications indexed in the ISC database during the years 1972-2019 and articles conducted in Iran that have been indexed in the Web of Science website from 1945-2019. All research processes are implemented in the Python programming language. The research findings showed that in the future, the highest number of researches will be in the fields of Internet and web studies, respectively; knowledge management; Information and Communications Technology; And scientometrics and informatics will be allocated. In addition, in the next decade, the growth trend of research in the field of Internet and web studies; Scientific and information communications; Librarians and information specialists; Data mining and knowledge discovery; Artificial intelligence and future studies will be faster. Areas such as organizational management, theoretical foundations, information resource management, and information processing and management will also have fewer fans among future researchers, and in addition, in the future, the axes of organizational management; Libraries and information centers and archives; Information resource management; Information and digital literacy; And the organization of information and knowledge will experience a slower growth process. The results show that the issues that have been raised in this field in the past years, despite the changes they have had, will continue to live in the same way in the future and only the context, format, methodology and method of their implementation will change. In other words, due to the transfer of traditional functions of this field to the digital and virtual world and increasing the role of information technologies, communication tools, Internet and web development, semantic tools and intelligent technologies in providing services and different dimensions of this field, future research topics They will be affected by these developments and will move towards web-based topics based on new technologies.

The field of Knowledge and Information science needs systematic studies about the future in order to adapt and keep pace with the current developments and to effectively deal with them and maintain their position and survival in the current competitive conditions. In this regard, the present study intends to guide future researchers to develop research in this field by reviewing studies related to the future of information science and science in Iran and the world.

The present study was conducted using the systematic review method. In the present study, in order to ensure the systematic review process, the guide provided by Okoli & Schabram (2010) has been used. For this purpose, related researches were searched in international and domestic databases without considering the time limit. In total, 114 researches were analyzed.

A review of studies showed that 14 dissertations, 25 conference articles, 65 journal articles and 10 website notes addressed the issue of the future of information science and epistemology. These researches have studied the future of this field in four axes: 1. Libraries and information centers in the future; 2. Librarians and information science professionals in the future; 3. The future of education in information science and science; And 4. The future of research in this field. A significant part of this research has been done with the aim of studying the goals, functions, features, services and resources of libraries in the future.

Libraries and information centers will continue to function as an important social institution in the future, but in order to be able to compete with competitors such as the Internet, super search engines, social networks, databases, virtual reality, augmented and hybrid technologies, To maintain and improve their position of audio-visual media and other new tools, it is necessary to change their services in accordance with the needs of the day and new technologies. In the future, the development of media and information carriers will not replace the role of librarians and information science professionals, but the importance of their position will be felt. In fact, among the various technologies and media, only librarians have the ability to overcome the challenges ahead such as the increasing volume of information, the growth of Internet resources, greater diversity of user needs, facing the problems of organizing information resources in cyberspace and optimal retrieval. Information from the masses of information is inappropriate. Given the current and future developments, the need for change in the situation of education and research in this field is felt more.

The present study seeks to identify and analyze the most important events and possible events affecting the thematic process of future research in the field of information science.

The present study was conducted using resource review and Delphi methods. The research community is professors of knowledge and information science at the international and Iranian levels with study backgrounds in the field of the future of this field.

The research findings showed that 78 future events will affect the thematic process of knowledge and information science research. These events come in 6 general dimensions including teaching and learning events; Scientific and research; Innovative and technological; Social and cultural; Political and legal; And economic and employment were categorized. Among the future events, from the experts' point of view, innovative and technological events will have the greatest impact on changing the course of future research topics.

Information and communication technology is a dynamic field that has rapidly expanded its influence in most scientific fields, including knowledge and information science. It is obvious that developments due to information and communication technologies will play an important role in the content of future research in this field.

Considering the role of public libraries in entrepreneurship development, the present study intends to analyze the studies conducted in this field and by comparing Iranian and international researches in this field, to provide a basis for identifying gaps in domestic research.

The steps of the present study were performed using the meta-synthesis method. For this purpose, related researches were searched in international databases in English and domestic databases in Persian without considering the time limit. The CASP checklist was used to evaluate the quality of the selected works. Finally, 101 dissertations and articles (71 works in English and 30 works in Persian) were reviewed.

At the international level, the thematic orientation of research has been towards the field of "entrepreneurial information services" and in Iran towards the axis of "organizational entrepreneurship, organizational culture, creativity and organizational innovation". The dominant approach in international research is qualitative and most of the document-library method and previous documents have been used to analyze these studies. In contrast, the emphasis of internal studies is on the use of quantitative approach and survey method and the use of questionnaire tools is the basis of their analysis. Most major national and international research is in the form of an article published in a journal and written by an author.

The results of this study can provide the basis for helping to develop research in this field and solve the problems of public libraries in order to provide innovative and entrepreneurial services and thus solve the problem of unemployment and consequently the economic development of society.

This study seeks to forecast the subject trend of library and information science research until 2030 based on modeling previous research topics in this field, which has been done with a text mining and in-depth learning approach. After preprocessing and thematic classification of the studies, deep neural network algorithms were used to model previous studies and forecast future topics. The study population included 90,311 journal articles in library and information science publications indexed on the Web of Science website from 1945-2020. All research processes were implemented in the Python programming language. The findings showed that the largest number of studies in the future would be related to Internet and web studies, and the growth rate of these topics will be higher in the future. However, topics related to libraries and their work processes and other traditional disciplines such as theoretical foundations will have a lower growth rate in library and information science studies. As a result, knowledge of important future issues, while helping to plan for future research, can identify study gaps and investment opportunities in the R&D sector, thereby assisting researchers, universities, and relevant research institutes in selecting projects intelligently.

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 present a conceptual model of competencies of university libraries managers to evaluate the competencies of university libraries managers in Ahvaz from the perspective of staff of these libraries.

This research which which was a survey, was applied, purposeful, and descriptive and analytical in nature. The study population consisted of all the staffs of the academic libraries of Ahvaz city (n = 91). Finally,

The conceptual model of competencies of university libraries managers was identified in 7 categories (Individual- behavioral; Socio- communication; Moral- value; Organizational- managerial; Insight- Perceptual; Innovative- Entrepreneurial and Specialty). The competencies of university libraries managers of Ahvaz city have been evaluated from the perspective of the staff of these libraries on a medium to high level.

The results of this study indicate that due to the evolutions caused by the development of different technologies and the further movement of these libraries towards digitalization and electronicization, academic libraries need managers who in addition to managerial and specialized knowledge, the latest technological advances. Learn and learn information literacy skills and other innovative and technological skills. 

Innovation:

Most of the studies that have been undertaken for the study of university libraries managers have examined the performance of these libraries in a limited dimension. However, the present study was conducted to evaluate the competencies of the managers of Ahvaz academic libraries from different dimensions. The results of these evaluations can provide the basis for planning to address the weaknesses of managers.

The purpose of this study was to analyze the content of managers' competency models to identify the dimensions and components of competency models of university librarians. The present research is a qualitative content analysis that uses conventional and guided approaches to identify the dimensions and components of the competency model of academic librarians. The data gathering tools in this study are documents. Data coding and analysis were performed using Max Kiuda software version 12. The study identified the competency model of university library managers at two levels: general and professional competencies. General competencies consisted of six general domains, including competencies of individual-behavioral, social-communicative, moral-value, organizational-managerial, insight-perceptual, and innovative-entrepreneurial. For the evaluation of managers, 83 and 15 indices were identified at the level of general competence and specialized competencies, respectively. Given the evolution of various technologies and the need to apply these technologies in the advancement of libraries and to move them further to digitalization, academic libraries need managers who, in addition to general managerial knowledge and specialized knowledge, are the latest Technology advances awareness and skills learned in using these technologies and how to use them in academic libraries.

Achieving new ideas and effective strategies for developing the innovation and creativity, is attained by genuine scientific research and theorizing. Considering the importance of theorizing in producing new knowledge in the fields of human and social sciences, the present study seeks to identify the barriers of theorizing in these areas and providing some solutions to resolve these barriers. This study, conducted as a survey, is a descriptive and analytical type in terms of its purpose. The study population includes all the professors of the humanities and social sciences of Shahid Chamran University of Ahvaz who have been served in the academic year of 2017-2018. The data gathering tool was a researcher made questionnaire, which was distributed among all community members (172 people) due to the limited research community. Finally, 121 questionnaires (return coefficient of return 70.34%) were collected. Data analysis was performed using Friedman test. The findings showed that the most important barriers of the theorizing in the humanities and social sciences were respectively: cultural-political barriers, social barriers, economic, supportive and financial barriers, legal and organizational barriers, educational barriers, methodological (research) and individualpsychological barriers. At the end, some strategies to develop the theorizing in these areas were presented. Identifying the problems and challenges in the theorization path will help policy makers and decision makers to plan and act in the direction of removing obstacles and help to develop the process of theorizing of the humanities and social sciences.

The origin of many of the problems encountered in research in the field of knowledge and information science (such as non-applicability, repetition, and lack of innovation) relates to the uncertainty of research needs and priorities in this field. In this regard, the purpose of this study is to identify and categorize important research topics in knowledge and information science, and to measure their significance in order to determine research priorities in this field. The present research is a theoretical-practical type and a research method-analytical and survey method. The research population consists of faculty and doctoral students in the field of knowledge and information science in the universities of Tehran, kharazmi University, Al-Zahra University, Mashhad Ferdowsi University, Shiraz university, University of Esfahan and Shahid Chamran University in the academic year 2015-2016. Due to the limited research community (165 persons), a questionnaire was distributed among all the people in the distribution community (electronically and in person) and finally 112 questionnaires were collected (return rate 63%). For data analysis, inferential statistics (Friedman rank test) have been used. In order to identify of research priorities in knowledge and information science, the contents of this field and the opinion of the faculty of this field have been reviewed. The results of these studies identified 120 topics in the knowledge and information science that were divided into 22 general axes. The results indicate that it has been influenced by the developments that have taken place in recent years in the field of knowledge and information science, including changing the title of the field and, to some extent, changing the syllabus and, consequently, the content of the field, the changes caused by The entry of technology into the field and the further movement of this field into interdiscipline have caused the current research community to focus on new and applied topics, future topics and issues related to information technology to traditional topics and theoretical topics for doing. Future research in this field will have a higher priority.

The aim of this study is to investigate print personal information management status of Chamran University of Ahvaz faculty members using Jones model.     

This study was conducted to survey, in terms of purpose and the nature of descriptive and analytical applications. The study population included all faculty members of Martyr Chamran University. By determining the total number of teachers (599 persons) and using the table Kerjcie& Morgan, the approximate number of samples was 220 people, of whom 193 returned questionnaires (response rate of 72/87%). To analyze the data, descriptive statistics (average and standard deviation)   and inferential statistics (independent t-test, ANOVA) was used.     

The findings show that average finding and re-finding activities 95/2, 73/2 storing, organizing, 8/2, 14/3 maintenance, security 33/3, 62/2 evaluation and conceptualization, strategy and the overall average of 51/2 and 86/2 is a personal information manager. In terms of gender, academic degree and the age difference between the faculty management of personal information is not observed.     

The results suggest that the overall situation of faculty members in the management of personal information printed is relatively high. The faculty with an academic degree of lecturer and between the ages of 25-35 years, had the best performance in terms of managing personal information. Also, personal printed information management quality of men was better than women.

INTRUDUCTION: In order to determine the research priorities in the field of knowledge and information science, it is necessary to make attention to the subjects related to the research carried out in different periods. In this regard, the purpose of the present research was to analyze the content of articles published in Iran and the World attempting to determine and analyze the topics of information science for achieving research priorities in this field. This research was conducted by using related documents. A total of 73 articles were retrieved and analyzed. To analyze data, descriptive statistics (frequency and percentage) was used. FINDINGS: The results showed that the largest number of articles were published in Iran over years 1386-1390 A.H. and in abroad over years 2015-2011. In Iran, the National Studies on Librarianship and Information Organization and in abroad, the journals Library Philosophy & Practice, and the Journal of the American Society for Information Science and Technology (JASIST) have the highest number of articles. Most of these studies were applied content analysis, bibliometric and the check-list. The highest number of studies were conducted in Iran, America, India and Nigeria, respectively. The study population mostly included research papers and theses. Trends in Iran were subjects related to the issue of "Studies of the Library" and abroad to the "Information Technology". The results indicated that research tendencies in the field of knowledge and information science have been changed at any time, depending on the different conditions. In other words, in a given period, some of the topics have been considered more as topics of the day and, on the contrary, some have been neglected. The theoretical orientation of research in Iran has focused more on traditional topics and activities of the field, but abroad, it has focused on applied topics and ones related to technology have been prioritized.

The purpose of this research is the Study of the entrepreneurial skills of University Libraries librarians of Jondi Shapour and Shahid Chamran Ahvaz and comparing the two university librarians entrepreneurial skills. This study was conducted to survey, in terms of purpose and the nature of descriptive and analytical applications. The study population included all University Libraries librarians of Jondi Shapour and Shahid Chamran Ahvaz that due to the limitation of the study, a questionnaire was distributed among all members of society. Data gathered by a researcher-made questionnaire. In order to analyze the data, descriptive and inferential statistics were used in different ways. Among the entrepreneurial skills of University Libraries librarians of Jondi Shapour, achievement (3/22) Maximum tolerance for ambiguity (6/18) to have the lowest mean.: Among the University Libraries librarians of Shahid Chamran Ahvaz entrepreneurial skills, creativity (36/20) Maximum tolerance for ambiguity (55/16) to have the lowest mean. Studies indicate that between creativity skills Shahid Chamran University and Jondi Shapour there is a significant difference and there is no significant difference in the other skills. Among the entrepreneurial skills of librarians in terms of demographic characteristics were not significantly different. the entrepreneurial skills of University Libraries librarians of Jondi Shapour and Shahid Chamran except in the skills of independence and ambiguity tolerance, are desirable.

The purpose of this study was to investigate the status of print and electronic personal information management activities and compare them between faculty of Shahid Chamran University of Ahvaz.

The present study, is conducted in a survey, In terms of purpose, it is an applied type and In terms of nature, it is descriptive and analytical. The research community consists of all faculty of Shahid Chamran University of Ahwaz. In order to analyze the data, were used descriptive statistics and inferential statistics.

Results showed that the overall average print information management boards of faculty is 86/2 and electronic personal information management is 82/2. In this way, the print and electronic personal information management activities of faculty are in a relatively good level. Results indicate that There is no significant difference between the print and electronic information management activities of faculty of Shahid Chamran University of Ahvaz.

The results indicate that the activities of electronic information management and print information management activities of the faculty are equal and none of them overlap. New phenomena always need more time to know and prove themselves, and new electronic gadgets may be used in the future.