جستجوی مقالات مرتبط با کلیدواژه « knowledge » در نشریات گروه « کتابداری و مدیریت اطلاعات »

The objective of this study is to identify the challenges hindering the formation of Knowledge Enterprises.

This research follows a pragmatic approach and combines library research techniques with field methodologies to collect data. It utilizes a descriptive-comparative method, including a Delphi survey. The study involves professors specializing in knowledge and information science from Tehran universities, as well as senior experts in knowledge-based businesses. A purposive sampling technique was used to select 40 participants. Data analysis was conducted using descriptive statistical measures (mean, percentage) and SPSS 25 software.

The study found that obstacles to establishing Knowledge Enterprises include both internal and external factors. Internal hurdles consist of managerial constraints, operational and structural limitations, and educational barriers. External challenges include environmental, economic, financial, cultural, legal, and administrative constraints.

Organizations and knowledge-based enterprises can address internal obstacles such as managerial constraints, operational and structural limitations, as well as external challenges like environmental, economic, financial, cultural, legal, and administrative barriers. This approach can create a supportive environment for the development of knowledge-based businesses and products.

Value: 

This research offers valuable insights for policymakers in Iran by identifying barriers to establishing Knowledge Enterprises. This information can help in developing strategies to overcome obstacles and promote the production of knowledge-based products.

A knowledge audit is a crucial tool for analyzing and identifying knowledge needs, creating a knowledge inventory, understanding knowledge flow, and mapping knowledge. Therefore, this study aims to analyze the knowledge audit of physicians at Shahed University.

This applied research is conducted using a descriptive-analytical methodology. The statistical population of the study includes 45 physicians working in the Faculty of Medicine at Shahed University. The data collection tools in this research are a checklist and a researcher-made questionnaire. Data analysis was performed using a one-sample t-test in SPSS software.

The findings showed that the components of identifying knowledge needs, the status of existing knowledge assets (implicit and explicit knowledge), and the flow of knowledge and knowledge map of physicians of the Faculty of Medicine at Shahed University are moderate to low at a significance level of 0.05%. In other words, little attention is paid to auditing the knowledge of physicians.

The results indicate that the status of knowledge auditing of physicians at Shahed University is not favorable. Therefore, policymakers in the Faculty of Medicine of this university should provide the necessary groundwork for the successful implementation of knowledge audit. This can be achieved through knowledge sharing, evaluating knowledge assets, assessing knowledge needs, creating knowledge repositories, establishing networks, and facilitating effective communication to enhance the flow of knowledge. Additionally, providing the necessary infrastructure for recording knowledge assets, transferring essential knowledge through training courses and seminars, and developing specialized knowledge maps are crucial steps in this process.

Commercialization of researches in universities can contribute to the development of the country in addition to providing investment in better and more advanced technologies for researchers and institutions providing knowledge.

The current research is based on developmental and practical results based on the purpose, descriptive and in terms of the method of data collection and analysis, it is hybrid. The statistical population of the research in the first group are experts who have scientifically mastered the fields of research commercialization. The sample size of the research in the qualitative part was theoretically saturated after interviewing the 13th person. The second research group includes all faculty members of Allameh Tabatabai University. The sample size in the quantitative part was 100 faculty members of Allameh Tabatabai University; The data required for this research were collected using in-depth, open and semi-structured interviews in the qualitative part and questionnaires in the quantitative part. The research method used in this dissertation was thematic analysis due to its exploratory nature. In this study, SPSS software was used to analyze demographic variables. In order to analyze the findings and test the research model, the partial least square (PLS) method was used.

by studying the extracted data and information, 337 open codes (initial concept), 154 basic themes, 29 organizing themes and 7 overarching themes were identified, and the overarching themes (main components) are: infrastructural measures, wealth enhancement, rooting, result orientation, Knowledge-oriented, ease of work, comprehensiveness and hindrance. The findings of the overall fit of the model and the result of 0.62 indicate a strong goodness of fit of the extracted model.

The results of this research can play an important role in the development of the country, the fruition of superior ideas and university entrepreneurship.

The analysis of job advertisements reflects the expectations of employers regarding job responsibilities and qualifications for graduates to enter the labor market. This method gives students and planners the opportunity to include appropriate training in the development of university course topics in their field. Therefore, the purpose of the current research is to investigate job opportunities in the field of knowledge and information science in the world and to match the topics of university courses in this field in Iran. The current research is applied in terms of purpose and qualitative in terms of data collection method, which was done with systematic review technique. Articles were retrieved from two important scientific databases (Scopus and Web of Science) by following Prisma's preferred instructions for reviewing research literature and after screening and entering the study in terms of research purpose, job titles, subject headings in the articles, society purpose, the type of organization that the research is about, and the access space were investigated. The statistical population is covered by texts that were published in Latin during 1923 to 2023. After searching the databases and retrieving 11,968 documents, cleaning and removing the overlapping items was done. And finally, 223 document related to job opportunities and skills in the field of information science and epistemology were selected. There are various job opportunities available to graduates of knowledge and information science. However, despite the job growth in this field and according to the content analysis of the headlines compiled by the Ministry of Science, Research and Technology in Iran, although they cover some job titles to some extent, this amount is not enough. The findings show that the job titles found with them were classified into seven job categories including: technical service positions, information service positions, research positions, educational positions, information and communication technology positions, reference positions, and management skills. The results showed that although the topics related to computer science and programming are among the topics needed to respond to the job market with regard to job titles, these topics are not sufficiently developed in the courses of knowledge and information science. In general, the results show the need to revise the content of the beginning of the chapter of university courses to provide the expertise and qualifications needed for graduates, one of the main gaps in the bachelor's degree, then master's degree and doctorate in this field in Iran. Expanding the curriculum with an interdisciplinary approach and using new technologies to develop skills in this area is a viable idea.

The Purpose of this study is to construct a model that identifies the components of the knowledge-based economy in order to promote its development through insights from experts.

This qualitative research employs a thematic analysis approach with a focus on professors, experts, and individuals knowledgeable about the subject. A total of 52 participants were selected using purposeful sampling and data was collected through semi-structured interviews.

Initially, 1,535 codes were extracted, leading to 353 codes in the subsequent stage, and further refined to 42 secondary codes during the central coding phase. Ultimately, nine main codes were derived in the selective coding stage.

Emphasizing the importance of a knowledge-based economy can enhance productivity, foster economic prosperity, and facilitate the creation and growth of knowledge-based enterprises. Such emphasis can also boost competitiveness, innovation, and success in global markets, ultimately leading to improved standards of living and sustainable development.

Value: 

This research offers insight into the role of a knowledge-based economy in driving knowledge-based development within the country.

The poor economic situation and the reduction of job opportunities have pushed universities towards academic entrepreneurship and commerciali-zation of knowledge. Nevertheless, the evidence shows there are many obstacles in the way of academic entrepreneurship, especially in some disciplines. Identifying obstacles to academic entrepreneurship is the first step toward its development. Therefore, the purpose of the current research was to identify the obstacles to academic entrepreneurship in the field of knowledge and information science. The current research was of an applied type which was conducted using the qualitative method of ground theory. The research community was the knowledge and information science faculty members at Iran's governmental universities. The sample members were selected by purposive sampling method. The basis for selecting the sample members was that they have at least five years of work experience as faculty members and have scientific records in fields with entrepreneurial orientation. A semi-structured interview was used to collect data. The interview processes continued until reaching theoretical saturation after interviewing 16 faculty members. Regarding academic rank, 4 of the sample members were professors, 7 were associate professors, and 5 were assistant professors. By analyzing the interview data, 90 primary codes were identified, and these codes were categorized into 12 sub-categories and three main categories. Macro obstacles, academic obstacles, and individual obstacles were the three main categories that hinder entrepreneurship and commercialization of knowledge in the field of knowledge and information science from the point of view of faculty members. Major obstacles were formed from 4 categories: economic factors, political factors, cultural factors, and strategic factors. Academic barriers consist of 4 sub-categories: university structure, university regulations and rules, university education, and course content. Individual obstacles also include 4 subcategories: scientific skills, communication skills, psychological skills, and entrepreneurial skills.   The present research has identified the most important obstacles to entrepreneurship and commercialization of knowledge in the field of knowledge and information science by studying the views of faculty members in the field of knowledge and information science. Although some obstacles to academic entrepreneurship, such as macro obstacles, are beyond the authority of faculty members and experts, by strengthening and investing in things that are under their control, such as individual obstacles, they can move towards academic entrepreneurship. Generally, the findings of this research can help in better planning for increasing academic entrepreneurship and commercialization of knowledge and removing its obstacles and shortcomings.

In today's age, having military and war power can no longer be considered as a global power, but global power is achieved through knowledge and ways to achieve it. Due to the increasing development and production of knowledge, a new concept has been created under the title of knowledge city, which has attracted the attention of the world. Today, knowledge city is one of the important issues in urban development. A knowledge city is a city that has encouraged, continuous production of knowledge, continuous creativity, sharing, evaluation, renovation and updating of knowledge in order to develop knowledge. Considering the importance of knowledge in the city of knowledge, the aim of this research is to identify the impact of the key components of the city of knowledge in transferring knowledge.
The present research is applied in terms of purpose and descriptive in terms of method. Library and field methods were used to collect information. The data collection tool in this research was a closed questionnaire that consists of 110 questions. In order to determine the reliability and validity of the questionnaire, the method of content validity with the opinion of experts has been used. In this research, two criteria of composite reliability (CR) and average variance extracted (AVE) were used to determine the reliability of the questionnaire. The professors of information science and epistemology, who had expertise in the field of knowledge management, formed the statistical community of this research. In the present study, 30 people were selected using the purposeful sampling method. In order to analyze the data, SPSS and PLS software were used.
The findings indicate that the key components identified in Knowledge city include 7 components: social conditions, strategic conditions, technological conditions, political conditions, financial conditions, the component of environmental conditions, and finally the component of urban management. The present study investigated the effect of each of the components on knowledge transfer, which the components of strategic situation, political conditions, financial situation, and environmental conditions have a significant effect on knowledge transfer, and in contrast to the social conditions, the conditions Technological and urban management components have no effect on knowledge transfer.
Based on the investigations, some components of knowledge city can be effective in knowledge transfer. It seems that there is a need to strengthen the foundation of the components of the strategic situation, the political situation, the financial situation, and the environmental conditions that have a positive and significant effect on knowledge transfer, because knowledge transfer can contribute to the development and the productivity of knowledge city has an important role.

In service-oriented organizations such as banks, learning, knowledge management, and digital innovation enhance the efficient utilization of the organization's available time, resources, and capabilities. The need to generate new knowledge using information technology is one of the challenges that managers face today. In the new paradigm, characterized by a competitive and knowledge-oriented environment, organizations should view innovation as an essential strategy to maintain competitiveness. Through digital innovation, new opportunities to access markets and gain competitive advantages at the national and international levels will be created. One of the challenges that organizations face today is the need to develop new knowledge based on information technology due to changes in the environment. Therefore, this research aims to determine the impact of knowledge management through organizational learning on digital innovation in Refah Bank.

This research is quantitative. A cross-sectional and hierarchical fuzzy logic approach was conducted with a sample size of 2022. The research population consisted of 9063 managers and employees from Refah Bank across the country. A simple random sampling method was used, with a sample size of 368 people. An electronic questionnaire, which incorporates the Lawson Knowledge Management Questionnaire, the short form of the Sange Organizational Learning Questionnaire, and the Kane and Ho Digital Innovation Questionnaire, draws on digital knowledge from research literature. Its validity and reliability have been confirmed, and it is utilized for data collection. Data analysis is conducted using Smart PLS 2 software, and the research's conceptual model is tested using the partial least squares technique. Partial Least Squares (PLS) method is utilized to validate and fit the research model.

The study confirms the mediating effect of organizational learning on the relationship between the dimensions of knowledge management and digital innovation. Knowledge management variables have an impact on organizational learning. Organizational learning has a significant impact on digital innovation.

According to the research findings, the acquisition, creation, sharing, and maintenance of knowledge, as well as digital knowledge, have an impact on digital innovation through organizational learning. The research results indicate that organizational learning plays a crucial role in connecting knowledge management and digital innovation. In previous research, little attention has been given to organizational learning in the context of knowledge management's impact on digital innovation. Therefore, the current research aims to address this gap. The qualitative research conducted by Di Vaio et al. in 2021 on the content of articles related to knowledge management and digital innovation indicates that there has been no research on the impact of knowledge management and digital innovation. Furthermore, there has been no governance framework to measure the impact of digital transformation and knowledge management on each other. Knowledge management, like a system, is considered an important input, with organizational learning as a key process, and digital innovation as a vital output for today's organizations. Banks can enhance their organization's digital innovations by implementing knowledge management and organizational learning systems. It is essential for the management to understand the concept of knowledge management and to support the knowledge management program through resource allocation and revising the priorities of Refah Bank. Digital innovation tools should align with the expected processes of knowledge management and organizational learning. Careful planning is essential in this case. It is suggested to establish a knowledge creation working group to reduce the influence of individual biases. It is important to prioritize the role of human resources in advancing knowledge management and to make decisions that facilitate the production, storage, and dissemination of knowledge within the organization. Banks can share knowledge by updating electronic archives of documents and through the organizational portal, software groups, proposal management systems, and thus improve employee efficiency and document knowledge. This also allows for the utilization of valuable hidden employee knowledge in future work. As a result, they achieve organizational innovation, which is considered a crucial outcome for organizations today. Other mediating variables, such as industry type, management style, organizational culture, and other factors influencing digital innovation, should be considered in future research.

The present research was conducted in order to identify the components of artificial intelligence in the implementation of knowledge management. In terms of purpose, the present research is practical and in terms of the method of collecting information, it is part of field library research. In terms of method, this research is one of the descriptive-composite researches that have been used through Delphi survey and content analysis. The statistical population of the present study includes 40 professors of information science and philology of Tehran state universities and doctoral students who were selected through purposive sampling. A questionnaire was used to collect information. Descriptive statistics (mean and percentage) were used for data analysis, and spss 25 software was used for statistical data analysis. The findings showed that the components of artificial intelligence include the performance component of artificial intelligence, which includes 6 items, the most important of which is pattern recognition and pattern reset to answer problems based on knowledge. Previous; The component of hardware and software facilities includes 14 items, the most important of which are the items of communication and conversation facilities online and writing software; The attitude component of the organization's people includes 6 items, the most important of which is the item of the important role of the motivation factor in the progress of people in working with computers; ; The component of measuring the skill level of the organization's people includes 13 items, the most important of which is familiarity with office software; The component of economic factors has 7 items, the measure of which is the cost of equipping the organization with hardware, the component of cultural factors includes 6 items, the most important of which is trust; The information technology component includes 7 items, the most important of which are security and optimization and process automation; The knowledge content component includes 2 items, which are the most important items of obvious and hidden knowledge; The organizational infrastructure component includes 7 items, the most important of which is bandwidth appropriate to the network; The directives and directives component has 2 items, the most important of which is the issue of directives based on making the organization smarter; The component of integrated systems, which includes 3 subjects and the most important subject, the subject of scientific and educational cooperation and interaction with other intelligent organizations; The component of management processes and senior managers includes 6 items, the most important of which are the items of setting strategic priorities for knowledge management, creating a knowledge repository, and managing innovation; The component of benefits and applications of artificial intelligence includes 13 items, the most important of which are the items of facilitating the sharing and retrieval of knowledge, the ease of knowledge transfer; The image processing component includes 3 items, the most important of which is the optical character reader; The text processing component includes 15 items, the most important of which are the items for extracting keywords and grouping similar texts; The speech processing component includes 3 items and the most important item is voice translators; And finally, the component of the goals of applying artificial intelligence, which includes 13 items and the most important items are the items of transferring the skills and knowledge of elite and thoughtful employees to expert systems and improving individual abilities and capabilities and training human resources. The thinkers were identified by experts (Delphi panel members). The results showed that artificial intelligence can facilitate the sharing of knowledge and its transfer, speed up the recovery process and be effective in the progress of the organization.

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 content analysis of the scientific papers can indicate the path of development and thematic orientations in any field. Therefore, this research aims to investigate the subjecttrends of the field of knowledge and information science in Iranian journals based on the LDA model.
The current research is descriptive and exploratory; since text-mining techniques were used to identify hidden topics and topic trends in the field of knowledge and information science based on the LDA algorithm. The statistical population of the current research includes abstracts and keywords of papers published in 11 scientific journals approved by the Iran Ministry of Science, Research, and Technology in the field of knowledge and information science during 2015-2019, which includes 1581 papers. The validity of the LDA method has been confirmed in previous studies and the reliability of the extracted data was confirmed by the inter-rater reliability method.
The findings showed that, in general, the subjects of citation analysis, library, and web were the interest subjects of researchers in the field of knowledge and information science, respectively, in the first to third place. During 2015 - 2019, the subjects of "Organizational Culture", "Social Networks", "Information Literacy", "Knowledge Management" and "Instagram" were the main subjects of the field of knowledge and information science. Another finding of the research showed that in different journals, different and sometimes common topics have been of interest to researchers in the field of knowledge and information science. Knowledge management and similar and related topics such as knowledge sharing are more important in the two journals of "The Journal of Studies in Library and Information Science" and "The Iranian Journal of Information Processing & Management". Also in most journals "Librarians" and "Users" have been among the main subjects studied.
Data mining techniques can be a suitable tool to facilitate and speed up the formulation of thematic processes in a field. In order to keep up with the journals of the field worldwide, it is necessary that the topics related to technology be considered in more journals. Also, journal editors should try to publish papers based on the policy and thematic areas overtime.

The importance of smartening in industrial business processes has increased significantly in recent years. On the other hand, the importance of knowledge as a competitive advantage continues growing. The purpose of this article is to identify the essential components affecting the intelligent extraction of knowledge in organizations.
This Meta-synthesis study was performed by Sandelowski & Barroso seven-step method. 280 research articles were retrieved from the database, of which 32 articles were used for research purposes. Each selected research paper reported one or more components that were analyzed separately.
48 codes were classified into 6 main topics ("Individual factors", "Education and learning", "Technology and intelligent technology factors", "Knowledge", "Dynamics and agility", "Organizational factors"). The results show that "empowering people in business" is one ofthe most important components of knowledge acquisition, the strengthening of which can leadto intelligent knowledge extraction. By empowering employees and studying the way theythink and work in the organization, intelligent models for performing tasks can be defined, andthis can lead to the extraction of useful knowledge. In other words, the greater the ability of employees, the study of human behavior in the workplace leads to the discovery of stronger intelligent patterns.
There is no organized study on the components affecting intelligent extraction of knowledge, and this is the first study in this field to classify topics into an organized framework for intelligent extraction of knowledge and find appropriate solutions for businesses.

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.

This study aimed to identify the dimensions and indicators of knowledge auditing in academic libraries. The present study was applied in terms of purpose and was performed by the Delphi method and qualitative approach. Participants in the present study included professors and experts in knowledge management and information science. By purposive sampling method at first, two or three experts in knowledge management and information science were identified and introduced by other people based on the snowball method and a sample size of twenty people was selected. In this study, Kendall and binomial tests have been used to analyze the data obtained from the first and second rounds of Delphi. Fourteen factors were identified as factors involved in influencing knowledge audit based on the research findings in knowledge audit, which are: organizational perspective and goals of data analysis and knowledge information, measurement of explicit and implicit knowledge, drawing Knowledge flow map, identifying strategic elements of the organization, analyzing the gap between existing and desirable knowledge, preparing the organization, identifying the knowledge audit process, forming a knowledge audit working group, analyzing knowledge flow, identifying valuable assets of the organization, evaluating information, measuring current knowledge health And analysis of knowledge application. Findings showed that the priority index in conducting research, educational, executive projects, etc., had the highest average (4.01), and the index of knowledge resources had the lowest average (1.25). Also, the value of the Kendall coefficient for all factors considered except the factors of vision and organizational goals and identification of strategic elements of the organization is more than 0.7 or very close to it, which indicates the consensus of experts.The level of significance for the Kendall coordination coefficient in most factors is more than 5%, which means there is a significant agreement between experts. The results showed the use of knowledge audit components to identify better the needs of creating, organizing, sharing and using knowledge in organizations. The overall results of the research in the field of validation by experts showed that all components of knowledge auditing have been approved and none of the components have been rejected.

For the term ontology from philosophy, there has been used various equations in non-philosophical texts (artificial intelligence, information sciences, semantic web, etc.). These equations show that there is lexical confusion for both parts of this terminology (being and beings for the first part, and logy, graphy and mapping for the second one). The purpose of this survey is studying in this confusion, the reasons of selecting such equations and finally to obtain a suitable, accurate, documented and rational equation for this term. Research methodology is documentary/library to determine the correctness of equations of ontology. In this regard, two types of texts have been explored: 1) non-philosophical Persian texts about ontology, and 2) philosophical texts about Martin Heidegger’s views.Examining 112 non-philosophical Persian texts, showed that more than half of the equations were assigned to “Hastishenasi”, which was to be expected because it is an accurate translation of the ontology. But the tendency of authors to use “Hastanshenasi” and “Hastannegari” in recent years, shows the understanding of the difference in the meaning of this concept in the philosophical and non-philosophical fields. Most of authors have only mentioned that “ontology comes from philosophy” and a few authors have stated the reason for choosing the equivalent. For the second part of this concept, Hori’s, Fadaei’s and Lynch’s reasons do not leave any doubt in the acceptance of “Negari” instead of “Shenasi”. But for the first part of this term, regarding Heidegger’s persistence in distinguishing between “being/existence” and “beings/ entities”, it is necessary to separate the using this concept in philosophical and non-philosophical domains, by preferring “Hastan” to “Hasti”. Then the author suggests “Hastannegari” for non-philosophical texts.Due to Heidegger’s critique to Aristotle’s categorization for integrating of possible states of beings, we must be more careful in using and quoting this theory in non-philosophical texts.Finally, despite the above results and even the existence of the countless sources in the field of Science and Technology Studies (STS), the author raises a new question: is the term (ontology) appropriate for what we do in non-philosophical texts and couldn’t we select an independent term without borrowing this term from philosophy? In order to answer this question, the author suggests an independent research, especially by studying on lexical sources and linguistic theories

This research aims to identify and analyze the relationship between the field of knowledge and information science with the problems of Kermanshah province from the professors' and graduates' viewpoints of this field.

The research approach is qualitative. Data analysis is done with the qualitative content analysis method. The studied samples were selected by purposive sampling method. Finally, 20 professors and graduates of the knowledge and information science field were interviewed.

The responses were categorized into three axes. The first axis was the knowledge and information science field and its dimensions, in which the interviewees' definitions of information were more in line with the traditional, engineering, and mathematical views and system-oriented approaches to information. information issues also were introduced mostly around books and libraries. The interviewees' opinions in the second axis, regarding Kermanshah province and its issues, were to have agricultural and tourism capacity for Kermanshah province which not using these capacities was introduced as one of the important issues of the province. The relationship between the knowledge and information science field and Kermanshah province and its issues were discussed in the third axis. Professors and experts emphasized on lack of applying of specialists' opinions of knowledge and information science field to solve the problems of the province.

The knowledge and information science field should be reviewed systematically and methodically in all aspects of identity, education, research, entrepreneurship, and foresight, considering the three important elements of depth, comprehensiveness, and modernity.In the development planning for the province, each area presents plans and programs in different formats, but in this planning, the information aspect has been neglected; and the professors and graduates of the knowledge and information science field do not have a plan and strategy in mind in a codified and coherent way.

The year 2022 will come to an end while the expectation of many researchers interested in the human genome project has been successfully fulfilled and the human genome map has been completed this year. By determining the entire sequence of the human genome, it provides a more accurate and deeper understanding of the evolution and biology of a person. Knowledge as a determining factor in the development of societies is closely intertwined with the evolution and biology of individuals. With the completion of sequencing the human genome, there will be a significant progress in the understanding of knowledge and a serious improvement in the its processes of creation, absorption, dissemination and application. The answers to many questions related to the mechanisms of knowledge creation, the transfer of relevant characteristics from one generation to another, the differences in the dissemination and application of knowledge will be determined simultaneously with this important achievement. In this article, in addition to introducing the human genome project, the impact of the completion of this project on some fields related to knowledge has been analyzed. This article can be the beginning of extensive research efforts to exploit new genetic findings in the field of human genome in improving our understanding of knowledge as well as its application in applied fields of knowledge.

Identification of hot topics in research areas has always been of interest. Making smart decisions about what is needed to be studied is always a fundamental factor for researchers and can be challenging for them. The goal of this study is to identify hot topics and thematic trend analysis of articles indexed in Scopus database in the field of Knowledge and Information Science (KIS), between 2010 and 2019, by Text Mining techniques.The population consists of 50995 articles published in 249 journals indexed in Scopus database in the field of KIS from 2010 to 2019. To identify thematic clusters, algorithms of Latent Dirichlet Allocation (LDA) technique were used and the data were analyzed using libraries in Python software. To do this, by implementing the word weighting algorithm, using the TF-IDF method, and weighting all of the words and forming a text matrix, the topics in the documents and the coefficients for assigning each document to each topic (Theta) were determined. The output of the LDA algorithm led to the identification of the optimal number of 260 topics. Each topic was labeled based on the words with the highest weight assigned to each topic and with considering of experts’ opinions. Then, Topic clustering, keywords and topics identification were done. By performing calculations with 95% confidence, 63 topics were selected from 260 main topics. By calculating the average theta in years, 24 topics with a positive trend or slope (hot topic) and 39 topics with a negative trend or negative slope (cold topic) were determined. According to the results, measurement studies, e-management/ e-marketing, content retrieval, data analysis and e-skills, are considered as hot topics and training, archive, knowledge management, organization and librarians' health, were identified as cold topics in the field of KIS, in the period 2010 to 2019. The analysis of the findings shows that due to the interest of the most researchers in the last 10 years in using of emerging technologies, technology-based topics have attracted them more. In contrast, basic issues are less considered to be developed.