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 selected 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.

Purpose: To explore, analyze, validate the merits of the SEO Entrepreneurship Questionnaire for Knowledge and Information Science professionals. Methodology: The sample size estimation and control for this survey were determined using Morgan table and simple random probability sampling. Based on the first extracted competencies of entrepreneurship in the field of SEO as a content analysis construct, a researcher-made questionnaire was developed using a web-based questionnaire. Face validity of the questionnaire was confirmed by experts in the field. The reliability of the questionnaire was confirmed by Cronbach's alpha test. Findings: The results showed that the six categories include "basic IT skills", "regular or organic SEO", "external site SEO", "paid SEO or click", "website design and management tools" and "value added of Knowledge and Information Science in SEO field" were the main influencing variables for evaluating SEO entrepreneurship competencies for Knowledge and Information Science graduates. Conclusion: Findings can be used to study, analyze and revise Knowledge and Information science topics in search engine optimization.

The purpose of this research is to determine the status of Iran’ s national newspaper websites based on the search engine optimization measures. This is an applied research and has been done by computer content analysis method. 110 Web sites of Iran’ s national newspapers was reviewed through the SEO analytics web site (SEO) in terms of general SEO, website speed, website security and total three measure. The findings of this study showed that the SEO average total score of Iran’ s national newspapers websites (54. 08) had a significant difference from the optimal SEO score for Web site (75%). Only five newspapers named Pirozi, Forsat, JameJam, Amin and PayameMa had a score above 75. Fifty seven websites scored between 51 and 75, and 48 websites scored between 0 and 50. Also, the results showed that there is a significant difference between 3 category of Seo measures (SEO general measures, loading speed and SEO security) of Iran’ s national newspapers website. The mean scores of the above-mentioned categories were significantly different and the general SEO measures are more important than speed loading and security measures.

Considering the growth of digital marketing, the present study was conducted by webometrics approach. In this study Iranian university library websites are analyzed from the standpoint of Google search engine optimization (SEO). Moreover, identifying the effective factors of Google SEO is done. The number of 30 effective components on Google SEO was obtained by using the agreement between two intelligent online SEO analysis tools ‘SEOsitecheckup’ and ‘SEOPtimer’, with a reliability coefficient of 0. 77. The number of 17 components were identified with the help of texts and the library method (the numbers of 12 components were common in both methods). The research community consisted of 42 library websites of Iranian universities affiliated with the Ministry of Science, Research and Technology located in major cities of Iran. The data collection tools were the online analysis databases ‘SEOptimer’, ‘Ahrefs’, ‘Similarweb’, and ‘W3 Consortium’ (in addition to the checklist and identified components). The members of the community were analyzed from the standpoint of the 34 measurable components by SEO analysis tools (no need for the manager or administrator of the same website) on the cross-sectional study for six months at the beginning of the year 2020). ‘Excel’ and ‘LibreOffice Click’ software were used to analyze the data. None of the websites of Iran's university libraries got the final SEO score of 75 out of 100. Only thirty-three percent of Iranian university library websites had observed the ‘digital security certificate’ effective component on SEO. The websites of the central library of Sharif university of technology, and the digital library of Shahid Beheshti university were ranked respectively, from standpoint of the final Google SEO score. Connecting the website to various social networks such as LinkedIn, Facebook, and Instagram, is necessary to improve Google's SEO score, but it is not sufficient (only one effective component). The components affecting Google SEO can be divided into two groups. The first category can be adjusted by the administrators of the library website (including 29 components of the checklist offered in this present study and 1 component of the library website's compliance with the rules of the W3 consortium). The second category (including 4 components: ‘bounce rate’, ‘average visit duration’, ‘number of pages indexed in Google’, and ‘number of clicks or visits of uses) can be measured by the feedback of other websites or clicking of the users. Improving SEO-effective components along with having rich content will be valuable together with each other.

BACKGROUND: Studding price transmission is very important because of its application to study the efficiency of the market and its important role in determining the welfare of producers, marketing agents and agricultural consumers.OBJECTIVES: Therefore, this study seeks to introduce new and advanced techniques to model the nonlinear price adjustments in agricultural markets especially mutton market in East Azerbaijan Province.METHODS: Therefore, Lo-Zivot (2001), Hansen-Seo (2002) and recently Seo (2006) approaches has been discussed and threshold cointegration tests has been studied. Then, with an emphasis on recent two tests, studied vertical price transmission and nonlinear price adjustment in mutton market of East Azerbaijan with weekly prices over 1380:1-91:52 periods.RESULTS: Nonlinear test results, Sup-LM and Sup-Wald, confirmed existence nonlinear price adjustment and threshold behavior in the mutton market. After proving the existence of non-linear behavior of price adjustment, in order to investigate how price transmission in this market, Hansen-Seo (2002)’s two-regime TVECM model and Seo (2006)’s Band-TVECM model were estimated and Finally Hansen-Seo’s two-regime model was selected as the appropriate model.CONCLUSIONS: Results showed that there is significant difference between the speed of price adjustment at the farm and retail level and either in increasing regime or in decreasing regime that confirmed that price adjustment in the under study market is nonlinear.

Introduction: In the current situation of employment in the field of Knowledge and Information science (KIS), it is essential to carry out researches that provide a groundwork for entrepreneurship and employment. The main goal of this study is to conduct a qualitative content analysis of the new syllabus of KIS in order to identify entrepreneurship competencies in the field of Search Engine Optimization (SEO) and the degree of compliance of the syllabus with it. Methodology: The present study is an applied research based on a qualitative content analysis method. The research population included ads for the SEO field and the latest approved syllabuses of the undergraduate and masterdegrees in the KIS. Findings: The main entrepreneurial competencies of SEO in the form of Content Analysis Structures were developed in five general categories and 39 items. The analysis of the syllabuses showed that there was 66% of the SEO competencies in the KIS’ s syllabuses. Conclusion: The results showed that the main drawbacks of the KIS’ s syllabus in web topics are site optimization for search engines (SEO) as well as entrepreneurship, and reviewing and updating the syllabus is essential in this regard.