Journal of Studies in Library and Information Science

Abstract Background and Objectives: People with disabilities face various challenges in their daily lives, and one of these challenges is limited access to information. Libraries, as one of the most important sources of information, should be accessible to all members of society. However, many libraries are not usable by people with disabilities due to the lack of appropriate facilities. This deprives these people of the right to access information and, as a result, limits their opportunities for growth and development. The purpose of this study is to examine the problems and obstacles in accessing library information by people with disabilities and to provide a suitable model for their access to information through public libraries. People with disabilities face various challenges in their daily lives, and one of these challenges is limited access to information. Libraries, as one of the most important sources of information, should be accessible to all members of society. However, many libraries are not usable by people with disabilities due to the lack of appropriate facilities. This causes these people to be deprived of the right to access information and, as a result, their opportunities for growth and development are limited. The present study was conducted with the aim of identifying the existing barriers to access by people with disabilities to library services and providing solutions to improve this access. Since libraries are considered gateways to knowledge and information, providing suitable conditions for use by all people, including people with disabilities, is of particular importance. To achieve this goal, researchers identified the factors affecting access to libraries by the disabled by interviewing experts and people with disabilities. Then, more data was collected by designing a questionnaire and distributing it among the disabled.
Methodology: This study was conducted with a quantitative approach. In this study, first, various factors affecting access to libraries by the disabled were addressed by interviewing 8 expert experts, including library librarians and researchers in the field of rehabilitation and disability, designers, and a group of people with disabilities at different levels of disability (including physical-motor, visual, and hearing). In this study, the desired information was extracted using a semi-structured interview method and the influential factors were obtained by examining and coding them. In the final stage, a questionnaire was prepared based on the factors extracted from the semi-structured interviews and distributed electronically among the disabled, and finally 159 questionnaires were completed and received. Analysis and evaluation were also performed using SPSS and Smart PLS software.
Findings: The research findings show that the respondents consider the three parameters of accessibility, librarians, and equipment to be very important in the access of the disabled to libraries, so that in the analytical results in the Smart PLS software in the standard mode for the model variables, namely accessibility, the value of 0.849, the role of librarians was 0.709, and the equipment was 0.53. Also, the goodness-of-fit index (GOF), which represents the final and overall evaluation of the model, was 0.41. Since the appropriate value of this factor is 0.36 and higher, the research model is evaluated as good in terms of fit. In addition to these factors, library rules and regulations and the lack of appropriate resources also affect this issue
Discussion: The results of the study confirm five variables that affect the access of people with disabilities to library information. The factors revealed in order of importance from most to least are: 1- Library accessibility, 2- Role of librarians, 3- Equipment, 4- Laws, and 5- Resources. Therefore, by considering these variables, the problems of access of people with disabilities to library information in the country can be largely resolved. By making changes in infrastructure, training staff, providing appropriate resources, and changing attitudes, the access of people with disabilities to library services can be significantly improved. This not only respects the rights of these people but also helps in the development of the information society. The proposal in this study shows that by considering these five factors, the access of people with disabilities to library information can be significantly improved. This study emphasizes that libraries, as important centers of access to information, must consider the special needs of people with disabilities and, by making the necessary changes, provide an equal and accessible space for all members of society

Abstract The purpose of the research: The purpose of the present study is to evaluate Persian academic textbooks in the field of Knowledge and Information Science Studies based on the desirable criteria for compiling such books.

Research Methodology: The research was conducted using a library method and content analysis. The instrument for this research is a checklist for evaluating academic textbooks, which was adopted from a related study selected from a large number of conducted studies. This checklist includes formal, editorial, and content criteria, each containing several components, against which the research population was examined. The population under study in this research includes all available and accessible books published by SAMT Publications, comprising 53 academic textbooks in the field of Knowledge and Information Science, which were examined and evaluated using the selected checklist.

Research Findings: The analysis of academic textbooks in the field of Knowledge and Information Science Studies, published by SAMT, revealed that, overall, the three criteria—physical appearance, writing quality, and content—were observed to a certain extent in these works. However, a closer examination of the internal components of these criteria highlights specific aspects that require greater attention and revision.

For instance, within the physical appearance criteria, the highest score was associated with the alignment of the book’s format with its content volume. This suggests that publishers have primarily focused on technical and standardization aspects of book production,

Abstract Knowledge is a strategic organizational resource and a justified and correct belief that is a combination of experience, values, contextual information and insight from experience. Also, in today's competitive world, organizations are looking for ways to maintain their superiority in the market. In competitive environments and in line with the intensification of competition in industries, organizations need abilities, capabilities and competencies that distinguish them from other competitors in order to survive and gain profit. This research aims to investigate the effect of knowledge sharing on sustainable competitive advantage with the mediating role of potential and actual knowledge absorption capacities and imitation and innovation strategies in knowledge-based companies located in Pardis Science and Technology Park, Tehran Province. The research is descriptive-survey in terms of its applied purpose and in terms of the nature and method of data collection. The statistical population is 136 companies located in Pardis Science and Technology Park, Tehran Province, of which 100 companies were selected using the Cochran formula and simple random sampling method. In order to collect data, a researcher-made questionnaire was used and the results of the research were analyzed using statistical software at two levels of descriptive and inferential statistics. The results of the research show that knowledge sharing is effective on sustainable competitive advantage with the mediating role of potential and actual knowledge absorption capacities and imitation and innovation strategies in knowledge-based companies in Pardis Science and Technology Park, Tehran Province

Abstract Objective: This study provides a comprehensive scientometric analysis of scientific outputs in the field of natural computing from 1980 to 2022.

Methods: Data were extracted from the Web of Science database over a forty-year period. After filtering and standardizing raw records, Python programming was used to analyze indicators such as number of publications, authors, countries, institutions, journals, and keywords. Historical trends, thematic orientations, and patterns of international collaboration were also examined through co-word analysis.

Findings: Results reveal significant growth in the field, with publications increasing from one in 1984 to 51 in 2008, and the number of active authors reaching 140 by 2021. The United States, Spain, and China emerged as the leading contributors, while institutions such as the University of Seville and the Romanian Academy played pivotal roles in enhancing research quality. Key journals—including Theoretical Computer Science and Natural Computing—served as primary outlets for specialized work. Thematic developments demonstrate a shift from a focus on computer science toward applications in green chemistry. Influential keywords identified include “natural computing,” “membrane computing,” and “P system.”

Conclusion: The study highlights natural computing as a rapidly expanding interdisciplinary and transdisciplinary field. Beyond its foundational role in optimization and bioinformatics, natural computing has extended applications in data mining and information systems security. These findings underscore the field’s growing importance in advancing science and technology and its potential to address emerging research challenges across multiple domains.

Abstract The rapid growth of technological innovation, particularly in Artificial Intelligence (AI) technology, has led to profound changes in business-related research over the past few years. Understanding the emerging trends in this field is crucial for researchers and several industry leaders to stay aligned with the upcoming transformation landscape. This study aims to provide an evolving perspective on trends in AI and technological innovation research in the business and management domains by conducting a bibliometric analysis of publications from 1992 to 2024. The data for this research were extracted from the Web of Science database and analyzed using co-word analysis and co-authorship techniques, utilizing two software tools: VOSviewer and R. The findings, based on the analysis of 883 articles across business and management domains, indicate a shift from slow growth in the early years (1992–2016) to rapid growth in recent years (2019–2024). Additionally, the identification of the most influential authors, the examination of research collaboration areas, thematic clusters, and research trends have provided valuable insights for both academics and practitioners in the field. The results of this study can inform policymakers, researchers, and industry leaders in strategic planning to invest in technological innovation by implementing AI, as presented in the points.

Abstract The main objective of this research is to investigate the dimensions, components, and indicators of the application of artificial intelligence in improving digital library services. This study was conducted with a qualitative approach and meta-synthesis method. The statistical population of the research includes all documents, theoretical foundations, and related background in internal databases during the years 1399 to 1404 and external sources between the years 2020 to 2025. Sampling was carried out with a purposive method and the sample size was determined using the Prism model and systematic elimination. The data collection tool included systematic record taking and review, and its validity was assessed with the 27-item checklist of the Prism model and reliability with Cohen's kappa coefficient. Data analysis was carried out using MaxQDA-2018 software and the content analysis technique. The research findings show that the application of artificial intelligence in improving digital library services has the dimension of search with intelligent components (4 indicators), analysis (4 indicators), consulting services (5 indicators); The content and resources dimension includes the components of content personalization (4 indicators), text processing (4 indicators), and resource management (4 indicators); the inclusion dimension includes the components of accessibility improvement (5 indicators), user interaction (3 indicators); and themanagement and maintenance dimension includes the components of data management (4 indicators), forecasting and analysis (4 indicators), and innovation management (4 indicators). These findings indicate the need to pay attention to the integration of these components in order to optimally benefit from the capabilities of artificial intelligence indigital libraries.