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

The purpose of this paper is to investigate the observance of persuasive design elements and provide appropriate strategies for better management of the central library website of universities affiliated to the Ministry of Health and Medical Education of the country.

The research is an applied and has conducted by website evaluation method. The population under study is the website of the Central Library of Iran Medical Sciences Universities and ranked according to the latest research results of medical universities of Iran in 1395.

The results of this study indicated that the Tabriz University of Medical Sciences websites ranked first among the University of Social Welfare and Rehabilitation and Shahid Beheshti, Ahvaz, Bushehr and Babol, ranking third in the rankings of universities.

The results of the 8-dimensional study of persuasive design on the websites under review indicate that designers of Iranian university websites have paid more attention to the attractiveness of the website. Also, according to the results of this study, it seems that the designers of the websites are least focused on issues such as the possibilities that engender and engage the user more with the library site, as well as the ability to personalize.

The main purpose of this article is to analyze the data of the Tehran Municipality websites and provide data mining solutions for managers' decisions.

This research is fundamental and in terms of nature, it can be considered analytical. The data collection method was the field. The statistical population was selected from 220 domains of Tehran Municipality and for analysis, data mining techniques were used to discover the appropriate decision model of city managers. The source of data collection was web analytics and tools used by Google Analytics.

The accuracy of the LSTM deep neural network is 99.84%. Network accuracy is 99.90%, the call is equal to 99.63%, the error is equal to 0.16%, MSM standard is equal to 0.003. The accuracy of the DBScan method with other basic methods for analyzing the data of Tehran Municipality websites is 99.84%, the deep learning method is 99.25%, the nearest neighbor method is 99.81% and the decision tree method is equal to 99.8%.With these interpretations, the rate of improvement of the accuracy of the DBScan method in comparison with the deep learning methods is equal to 0.59%.

Finally, by simulating the DBScan method to identify and analyze the data of Tehran Municipality websites and provide data mining solutions for managers' decisions, it was observed that the proposed method provides suggestions to managers to improve site visits and The performance of the municipality is significantly effective.

Determining strong and weak points of Iranian digital library websites based on the
components of the green web.

 ‌‌All 59 active digital library websites in Iran‌‌‌ were surveyed using a checklist consisting of three phases. Validity of the checklist was confirmed by web design and information science experts. Its reliability was confirmed based on Cronbach's alpha test‌ (0.861‌) . Website evaluation was performed using 5 online tools. Data analysis was performed using descriptive and inferential statistics‌ (binomial and chi-square tests‌) .

 There was a statically significant difference among websites in regard to the Create‌ (P = 0.005‌)‌‌ and User‌ (P = 0.030‌)‌‌ phases. In the Analysis phase, planning checking the sub-index was not possible. Overall, we found significant difference‌ (p = 0.001‌)‌‌ among websites in the three main phases of green web, so that 44.1% were at good level and 39.1% were at moderate levels.

 The state of green web indexes in Iranian digital library websites is good. However, the processes of Planning in the Analysis phase and Graphical user interface in the User phase require further attention by webmasters and designers.

The purpose of the present study was to evaluate the websites of three universities of Tehran, Tarbiat Modares and Allameh Tabataba'i based on knowledge management criteria, Cactect Model.

The present study has been conducted in terms of applied purpose and survey-evaluation method.

The website of the University of Tehran is in the first place in the component of accessibility of knowledge with 72.8% of the score and the websites of Tarbiat Modares and Allameh Tabatabai universities are in the second place with 63.4% each in this component. In terms of knowledge creation, Tarbiat Modares University website is in the first place with 83.3%, Allameh Tabatabai University website is in the second place with 50% and Tehran University website is in the third place with 33.3%. In terms of knowledge dissemination, the website of Tarbiat Modares University is in the first place with 86.3%, the Website of Allameh Tabatabai University is in the second place with 54.5% and the website of the University of Tehran is in the third place with 50%. In general, in this model (which includes three components of accessibility, creation and dissemination of knowledge), the website of Tarbiat Modares University with 76% of points is ranked first, the websites of University of Tehran and Allameh Tabatabai are also ranked second with 58% of the score.

The results of the present study indicate that although the websites of the study population appeared above the average in terms of knowledge management criteria, there is still a gap to reach the desired point and there are still many weaknesses in using new technologies, and in particular website in Iran.. Although steps have been taken in this regard, the use of expert opinions on the one hand and the surveys of website users on the other hand can be helpful and effective in this regard.

The main purpose of this study is to identify and analyze different types of data on the website of Tehran Municipality and to provide appropriate data mining solutions.

This research is fundamental and in terms of nature it can be considered analytical. The data collection method was field and the statistical population of 47 sites were selected among 220 domains of Tehran Municipality and data mining techniques were used for analysis and the source of data collection is web analytics and tools used by Google Analytics.

The accuracy of the normal neural network algorithm is equal to 99.25% and the RMS standard of the normal neural network algorithm is equal to 0.159. The accuracy of the decision tree algorithm is 99.80% and the MSI criterion of the decision tree algorithm is 0.003 and finally the RMS criterion of the decision tree algorithm is 0.045. The accuracy of the CNN algorithm is equal to 99.81% and finally the RMS criterion of the CNN algorithm is equal to 0.035.

Based on the obtained findings, the DB Scan method is equal to other basic methods for analyzing data of Tehran Municipality websites and has a higher accuracy than other methods.

Today, ranking systems in universities have been considered by the academic community and there is a tight competition between world universities to achieve higher ranks. In the meantime, the ranking of university websites is also in the spotlight and Webometric research center announces the ranks of university websites twice a year. Examining university rankings indicators and Webometric ranks of the university indicates that some of these indicators directly and indirectly affect each other. On the other hand, a preliminary study of Webometric indicators shows that some Search Engine Optimization (SEO) indicators can affect Webometric ranks. The purpose of this research is to show how far the SEO metrics can affect the website rank of the university. To do this, after extracting 38 points of the significant SEO metrics of the extracted universities using various tools, data analysis was conducted along with applying association rules on the data. The results of the research show that some of the SEO metrics, such as the number of back links, Alexa Rank and Page Rank have a direct and significant impact on the website rank of universities and in this regard, interesting rules have been extracted.

the study aimed to evaluate the quality of the website owned by Information Center andCentral Library of Ferdowsi University of Mashhad as one of the top universities in the country.

 the research is and applied one in survey method. The statistical population were the total number of students studying in Ferdowsi University of Mashhad. A set of 380 students was selected as the appropriate sample. The data were collected using a questionnaire which were then analyzed by software SPSS.

 among the attraction components of the website owned by Information Center and Central Library of Ferdowsi University of Mashhad, the use of attractive media had the highest score and the typography had the lowest one. Regarding the usability component, consistency had the highest and the structure had the lowest score. Moreover, the degree of satisfaction among the students from the quality of the website was evaluated as medium.

although a new website is designed for Information Center and Central Library of Ferdowsi University of Mashhad, there appeared, however, a need to revise its quality especially in terms of usability.
 
 

The purpose of this study was to identify and classify the features of an effective website for Iranian public libraries based on the Kano model.

This was an applied study. The research methodology was used as a methodological method. The population of this study included users of the public library, 120 randomly selected as the main participants. A researcher-made questionnaire was designed based on a focal model for data collection. The validity of the questionnaires was verified by the faculty members of the Faculties of Information and Science and Management. To analyze the data, the focal point of the evaluation model, Excel software and descriptive statistics were used. Cranach alpha to estimate the reliability index (α = 0.83)

First, the identify and classify the features of an effective website of the public library were identified. Hence, services were classified based on 5 criteria (including must-be, one-dimensional, attractive, indifferent, and reverse) depending on Kano’s model and the librarians 'and site designers viewpoint. From 72 identified services, 33 services were must be, 16 services were one-dimensional, 18 services were attractive, 5 of them were indifferent, and no service was classified as the reverse one.

Most of the services identified were found on the Web site of the world's public libraries, which is expected to be used by designers and librarians of public libraries to design their library site.

The aim of the present research is, evaluation Iran commercial banks website, and ranking them by using from web Assessment index. This research is combination of description and Delphi. The research population included 30 Iran commercial banks website. The data collection tool was the list of review. Bankswebsite in terms navigation and speed are good condition, and in terms of access and content are average condition. The total%53/3 bank websites are average. Ranking banks website showed Mellat bank is with a score of 79 in the first place and Ghavamin bank is with a score of 33 in last place. Results show that, evaluation Iran commercial banks website are with an average score 60 in good condition. %26/66 of banks website are good condition, %66/33 of banks website are average condition and%10 banks website are undesirabl.