نشریه بازیابی دانش و نظام های معنایی
پیاپی 32 (پاییز 1401)

The purpose of this study was to Design model Interaction Operational selective dissemination of information(SDI) in academic libraries. This research is purpose-oriented, applied, and methodically-oriented. The statistical population of this study included all MSc students, Ph.D. students and faculty members of Tarbiat Modares University in Tehran. According to the statistics available on the site of the university, the faculty members of the university were 730 faculty members, 3000 students Ph.D., and 4000 students MSc. Using the Cochran formula, the number of faculty members was 253, 340 were Ph.D., and the MSc students 350 were selected. The data gathering tool was a questionnaire whose validity was confirmed by the experts of information science and science. For data analysis, 16Spss software and single sample T-test were used.In this study, the identification and categorization of information-based dissemination services were first determined, then the number of 43 services identified in 7 characteristics included:knowledge repository(7), feedback (7), Two-way communication(5), education (4), Search (7), Orders (7), and Knowledge Management (6). The average score obtained for most of the characteristics of the selective dissemination system model was above the score of 4.Using this model, the selective dissemination system intelligently recognizes the information needs of member users. It is possible to support a wide range of information, two-way communication, orders, knowledge management, and instant messaging as one of the features of this model.

The main purpose was to draw a scientific network of research articles in the subject area of Imam Reza. The study was conducted with co-occurrence analysis of words and network analysis technique to identify the conceptual relationships between published papers on the subject of Imam Reza. 1305 articles focusing on Imam Reza were analyzed by comprehensive studies. Descriptive data were entered into Excel software to standardize and draw graphs. Ravromatrix was used to prepare symmetric matrices to draw coherent maps. The matrices were entered into the UCINet to calculate the degree of centrality of degree. VOSViewer software was also used to illustrate the maps. The research findings showed that writers such as Khalil Beigzadeh and Zahra Ghasemnejad are among the most prolific writers. Ferdowsi University of Mashhad is also in the first rank of participation in publishing articles on the subject of Imam Reza. Researchers with the academic rank of assistant professor have been most involved in publishing the article. The field of Persian language and literature has the most active researchers in publishing articles. Authors such as Mansoureh Fassih-ramandi, Hossein Behravan, have a high ability to transfer information and knowledge in the network. Scientific disciplines such as educational sciences, social research, are among the most popular disciplines in the interdisciplinary collaboration network with the highest degree of degree centrality. Universities such as Amin Law Enforcement Sciences, Payame Noor, are among the most popular organizations active in the network of cooperation between scientific institutions supporting the publication of articles.

The purpose of this research is to investigate the impact of human resource management on organizational innovation based on knowledge management. This research is descriptive and correlational. The statistical population includes employees and managers of the headquarters centers for the provision and development of welfare services in Tehran. According to Cochran's formula, the sample size was 109 people.

The researcher used a simple random sampling method to distribute the questionnaires. In order to obtain and collect information, Nonaka and Takeuchi (1995) knowledge management questionnaires, Bosley and Weil (2002) human resource management and Mirmiran model organizational innovation (2013) questionnaires were used. The reliability of the questionnaires was obtained using Cronbach's alpha method, 0.95, 0.91 and 0.97, respectively. Also, in order to test the hypotheses, the structural equation modeling method was used, and for descriptive data analysis and factor analysis, 22 spss and 3smart pls software were used.

The results indicate that human resource management combined with knowledge management has been effective on the organizational innovation of Tehran welfare development and supply centers. Also, human resource management has had a significant impact on organizational innovation and knowledge management.

This research, by increasing and applying knowledge by human resources management in Tehran welfare, has promoted organizational innovation and as a result, improved the effectiveness of services to the society, and the integration of knowledge in performance has been recommended by the management of human resources in Tehran welfare.

Today, due to unforeseen environmental and technological changes, it is necessary to pay attention to savings, increase innovation and flexibility for all types of businesses in order to gain a sustainable competitive advantage. In the meantime, what helps organizations increase their capabilities and meet challenges is creating and nurturing appropriate and effective teams of individuals. The purpose of this study is to investigate the effect of personality factors on team cohesion of SNOWA employees with regard to the mediating role of knowledge sharing. The study is a descriptive correlational study through structural equation modeling (SEM). SNOWA company was collected in 1399 with a sample size of 278 people and SPSS and AMOS software were used to evaluate the proposed model. The results showed that there is a positive and significant relationship between four factors of personality (extraversion, agreement, conscientiousness and openness to experience) and knowledge sharing with the team cohesion of employees; But there is no positive and significant relationship between personality factor (neuroticism) and team cohesion of employees. Indirect paths of personality factors are also significant through knowledge sharing with team cohesion in employees. Therefore, it can be said that personality factors along with other factors such as knowledge sharing, play a key role in team cohesion and the need to pay attention to these factors in training programs to strengthen team cohesion is useful.

The purpose of this study is to determine the status of knowledge management in the titles of specialized doctoral courses in the humanities of higher education.

The present study is a type of mixed exploratory research projects. Hence, a combination of qualitative and quantitative methods has been used. First, the components of knowledge management were extracted by content analysis method with inductive approach, and based on that, a questionnaire in the form of 9 main components and 44 questions was prepared and provided to the experts. In addition, the checklist was prepared in the form of 442 sub-items..

In content analysis of 2250 specialized courses in 11 humanities disciplines in the doctoral program, 3260 identifiers were extracted. This study showed that knowledge sharing 25.46%, knowledge application 17.48%, knowledge change 12.73%, knowledge creation 11.75%, knowledge identification 9.97%, knowledge organization 7.73%, knowledge development 23 6.6% obtained knowledge presentation, 4.97% and knowledge protection obtained 3.68% of the data.

In order to prepare graduates as capable future leaders, higher education needs to play a pivotal and effective role in teaching knowledge management to students. Utilizing knowledge management-based curricula facilitates the skills needed to apply and rely on knowledge. Applying standard methods in education and research prepares future managers to present and share knowledge in organizations. Knowledge management promotes a comprehensive approach to identifying, capturing, retrieving, sharing and evaluating the knowledge capital of organizations.

To study the role of strategic planning on project management in new information businesses to improve the effectiveness and efficiency of project performance, especially on Dadeh Kavan Hooshmand & Rahbari Asil websites.

The present study is applied in terms of purpose and descriptive-survey method. The statistical population consisted of 90 e-business owners who were selected as the available sample by simple non-random method. The researcher-made questionnaire with 46 questions was distributed among them and 75 questionnaires were collected. Cronbach's alpha coefficient was used to evaluate the reliability of the questionnaire, which is equal to 0.888, 0.889 and 0.936 in three sections of questions. To assess the validity of the questionnaire using the internal consistency method of construct validity, the results of the correlation coefficient between each of the questions at the error level is less than 0.01 and has a high construct validity. Descriptive and inferential statistics were used to analyze the data using SPSS software.

Strategic planning has significantly more than average (68%) and project management (67%) and the role of strategic planning on project management has played a significant role (67%) in new information businesses.

The results showed that the average rank of human resources and supplier chain sub-component in strategic planning is equal to (2.65) and the sub-component of cultural and social factors of project management is equal to (3.08) is more important. From the perspective of business owners, they have had the greatest impact on new information businesses.

Nowadays, various online resources are growing and disseminating rapidly. In order to organize these resources, attempts have been made to use automatic classification, which often use statistical algorithms and machine learning. Rrecently, attention has been drawn to the use of library classifications. The main challenge here is that classification is an abstract, thought-provoking process, and machine techniques and artificial intelligence have not yet been able to completely replace the human mind. In this paper, we provide an overview of the importance of automatic classification, machine learning and practical algorithms and techniques of clustering and classification like K- nearest neighbor, Bayesian models, artificial neural networks, deep learning, and hybrid classifications. Also, the steps of automatic classification of web pages and the techniques used in each step were mentioned. Achieving a clearer understanding of the automatic classification will enable LIS experts to communication with the experts in the field of artificial intelligence and computers. This could pave the way for interdisciplinary researches.