درخت حوزه‌های تخصصی

Purpose: Accurate scientific evaluation of researchers by ResearchGate network is still ambiguous. This systematic study seeks to shed some light on this issue.Methods: The study was conducted with a systematic review of the previous studies (articles or reports). The analysis of documents was performed with a targeted keyword search in the reputable Google Scholar, Emerald, and PubMed databases (without limit). Titles and abstracts (if necessary, full texts) of the number of 582 documents (Persian, English, and Spanish) were retrieved (1-10 April 2021) and studied. Then, by removing duplicate or irrelevant data, 57 independent studies were selected for meeting the main research problem of this systematic review (using the PRISMA statement). For drawing diagrams, Excel software was used.Findings: Among 57 previous independent studies  retrieved by systematic review, 30 ones, had a negative attitude towards the ResearchGate.  27 studies saw with positive approach from standpoint the concepts of "authentic measuring instrument", " presence of prominent scientists such as Nobel Prize recipients", "valid scientific content", and "having a significant relationship with the academic ranking criteria", and "compliance with the Hirsch indicator", that was identified by documentary analysis based on PRISMA statement. Studies with a positive assessment of the ResearchGate dealt with developing countries, and with a small investigated research community. Therefore, it is appropriate to act cautiously when evaluating researchers with the ResearchGate network.Originality: No similar systematic review to evaluate the ResearchGate network from the standpoint of a scientific suitable evaluation tool, has been done so far.

Purpose: this study has been conducted with the aim of understanding the phenomenon of evading teamwork with a phenomenological approach in the General Department of Cooperation, Labor and Social Welfare of Fars Province. Method: The research method of the present study was conducted with qualitative analysis of hermeneutic phenomenology. In order to collect the data, an interview protocol was prepared. The statistical population included 11 eligible experts who were selected using the purposeful and non-probability sampling method, and in-depth and semi-structured interviews were given to them. Qualitative analysis of phenomenology has been used to identify the main and sub-categories of the research. MAXQDA software was used for qualitative analysis. Findings: The findings showed that 39 sub-categories were identified by examining and categorizing the descriptive codes obtained from the interview texts, according to the seven-step process of Claysey and according to their semantic similarity and affinity, they have been categorized into 7 main concepts including: inadequacy of the educational system, negative personality traits, weak communication and interactions, inappropriate organizational structure, insufficient knowledge and awareness of employees, lack of budget and financial resources, and negative cultural beliefs. Holsti coefficient was used for the final validation, reliability, transferability and verifiability of the data. The value of PAO in the present study was 0.712, which is greater than 0.7, and the data was confirmed. The results show that the categories of inadequacy of the educational system, personality traits, poor communication and interactions, inappropriate organizational structure, insufficient knowledge and awareness of employees, lack of budget and financial resources, and negative cultural beliefs have a direct impact on teamwork.Conclusion: Finally, practical suggestions were presented to the managers of the General Department of Cooperation, Labor and Social Welfare of Fars province to overcome the challenges and problems of teamwork evasion.

Purpose: The main purpose of this study is to design and evaluate a book recommender system in digital and public libraries. The solution has been provided by receiving and reviewing the preferences and experiences of users and profile information and studying the background of each user, as well as considering groups of features recorded in the recommendation process. Method: This research is applied in terms of purpose and survey method. The statistical population studied in this research consists of 263 questionnaires of users and 30 questionnaires of librarian experts. In order to find similarity between users and books, clustering and grouping have been used. Findings: There are two criteria for grouping: users grouping that can be used on the three indicators of age, gender, educational level, and thematic classification of books can be based on scope, branch, and sub-category. In analyzing the data in the descriptive statistics section, Excel software is used and in the analytical section, SPSS software. Findings indicate that the accuracy criterion has been improved by calculating MAE and RSME in the proposed method compared to the basic method in this field. The results also showed that classification can have a significant impact on the forecast and performance of book forecasting systems. Conclusion: The evaluation of the conceptual design showed that by focusing on user characteristics and obtaining real feedback of Iranian libraries, the recommender can serve as a key and effective element in the service of the Iranian readership community and play a good role as a virtual reference librarian.