Indexing

The current study attempts to explore the characteristics of author-assigned keywords in research articles as important constituents of targeted search in academic communities. To this end, the keywords of 200 research papers in the field of applied linguistics, in terms of domain, degree of specificity, and relation to the titles, were analyzed. To supplement the findings, the keyword choice strategy of a number of researchers with publishing experience in the field was also investigated. The analysis revealed a considerable rate of title-keywords match, especially with respect to field-specific keywords. This finding points to the importance of users’ field-specific background knowledge in locating relevant information on the web. The examination of authors’ viewpoints and strategies, on the other hand, helped to bring to light the complex and non-clichéd nature of keyword selection. The significance of authors’ diverging and converging attitudes and their implications for enhancing the success rate of keyword search are discussed.

The present study seeks to identify and prioritize the components and dimensions of e-commerce and categorize them as a comprehensive model by using the meta-synthesis method. In this research, total of 58 articles in the field of E-commerce was identified and examined in the first step. Latin articles were in the period of 1996 to 2017 and Persian articles were related to the period of 2001 to 2017. Finally, after three stages of the evaluation of articles, 29 articles remained. Then, based on the results of the meta-synthesis method and the use of open coding, three main fields and a number of subfields were found for the e-commerce variable. Also, at this stage, the initial data was also introduced in the form of a new subset and added to the comprehensive model by using the indexing, conceptualization and categorization method. The main fields of e-commerce included customer trust and satisfaction in e-commerce, the development and application of e-commerce and the success of e-commerce. Each of these main fields has a number of subfields. Suggestions are presented in accordance with the comprehensive model identified. The e-commerce model can be a good tool for decision making managers and decision-makers, and should be used as a basis for future research.

The growing accessibility of web pages to internet users, coupled with the increasing reliance on search engines for daily tasks, underscores the rising importance of search engine optimization (SEO). This research aims to explore the impact of the web visibility index, a key SEO metric, and the utilization of SEO tools on the optimization of university websites. The novelty of this study lies in its examination of the specific influence of the web visibility index and other SEO metrics on university website optimization. Findings reveal significant enhancement in the web visibility index across most universities studied. A comparative analysis of the top 20 universities and their associated libraries sheds light on the factors contributing to increased web visibility. SEO tools and the SISTRIX Toolbox were employed for comparative purposes. Results indicate that the University of UOC boasts the highest web visibility index of 0.0276, while UNED, USE, and UV universities have a web visibility index of 0, indicating the lowest visibility.