Search Engine Optimization and Ethical Leadership Strategies

2013 ◽  
pp. 79-90 ◽  
Author(s):  
Francisco J. Lara
Keyword(s):  
Search Engine ◽  
Ethical Leadership ◽  
Leadership Strategies ◽  
Search Engine Optimization

scholarly journals Content Management Systems Performance and Compliance Assessment Based on a Data-Driven Search Engine Optimization Methodology

Information ◽  
2021 ◽  
Vol 12 (7) ◽  
pp. 259
Author(s):  
Ioannis Drivas ◽  
Dimitrios Kouis ◽  
Daphne Kyriaki-Manessi ◽  
Georgios Giannakopoulos
Keyword(s):  
Search Engine ◽  
Common Knowledge ◽  
Organizational Structures ◽  
Content Management ◽  
Data Driven ◽  
Management Systems ◽  
Search Engine Optimization ◽  
Optimization Methodology ◽  
Content Management Systems ◽  
The Web

While digitalization of cultural organizations is in full swing and growth, it is common knowledge that websites can be used as a beacon to expand the awareness and consideration of their services on the Web. Nevertheless, recent research results indicate the managerial difficulties in deploying strategies for expanding the discoverability, visibility, and accessibility of these websites. In this paper, a three-stage data-driven Search Engine Optimization schema is proposed to assess the performance of Libraries, Archives, and Museums websites (LAMs), thus helping administrators expand their discoverability, visibility, and accessibility within the Web realm. To do so, the authors examine the performance of 341 related websites from all over the world based on three different factors, Content Curation, Speed, and Security. In the first stage, a statistically reliable and consistent assessment schema for evaluating the SEO performance of LAMs websites through the integration of more than 30 variables is presented. Subsequently, the second stage involves a descriptive data summarization for initial performance estimations of the examined websites in each factor is taking place. In the third stage, predictive regression models are developed to understand and compare the SEO performance of three different Content Management Systems, namely the Drupal, WordPress, and custom approaches, that LAMs websites have adopted. The results of this study constitute a solid stepping-stone both for practitioners and researchers to adopt and improve such methods that focus on end-users and boost organizational structures and culture that relied on data-driven approaches for expanding the visibility of LAMs services.

scholarly journals Big Data Analytics for Search Engine Optimization

2020 ◽  
Vol 4 (2) ◽  
pp. 5 ◽  
Author(s):  
Ioannis C. Drivas ◽  
Damianos P. Sakas ◽  
Georgios A. Giannakopoulos ◽  
Daphne Kyriaki-Manessi
Keyword(s):  
Big Data ◽  
Cultural Heritage ◽  
Search Engine ◽  
Data Analytics ◽  
User Behavior ◽  
Big Data Analytics ◽  
Data Types ◽  
Search Engine Optimization ◽  
The Impact ◽  
The Web

In the Big Data era, search engine optimization deals with the encapsulation of datasets that are related to website performance in terms of architecture, content curation, and user behavior, with the purpose to convert them into actionable insights and improve visibility and findability on the Web. In this respect, big data analytics expands the opportunities for developing new methodological frameworks that are composed of valid, reliable, and consistent analytics that are practically useful to develop well-informed strategies for organic traffic optimization. In this paper, a novel methodology is implemented in order to increase organic search engine visits based on the impact of multiple SEO factors. In order to achieve this purpose, the authors examined 171 cultural heritage websites and their retrieved data analytics about their performance and user experience inside them. Massive amounts of Web-based collections are included and presented by cultural heritage organizations through their websites. Subsequently, users interact with these collections, producing behavioral analytics in a variety of different data types that come from multiple devices, with high velocity, in large volumes. Nevertheless, prior research efforts indicate that these massive cultural collections are difficult to browse while expressing low visibility and findability in the semantic Web era. Against this backdrop, this paper proposes the computational development of a search engine optimization (SEO) strategy that utilizes the generated big cultural data analytics and improves the visibility of cultural heritage websites. One step further, the statistical results of the study are integrated into a predictive model that is composed of two stages. First, a fuzzy cognitive mapping process is generated as an aggregated macro-level descriptive model. Secondly, a micro-level data-driven agent-based model follows up. The purpose of the model is to predict the most effective combinations of factors that achieve enhanced visibility and organic traffic on cultural heritage organizations’ websites. To this end, the study contributes to the knowledge expansion of researchers and practitioners in the big cultural analytics sector with the purpose to implement potential strategies for greater visibility and findability of cultural collections on the Web.

Automatic Keyword Extraction Algorithm and Implementation

2010 ◽  
Vol 44-47 ◽  
pp. 4041-4049 ◽  
Author(s):  
Hong Zhao ◽  
Chen Sheng Bai ◽  
Song Zhu
Keyword(s):  
Search Engine ◽  
Word Frequency ◽  
Search Engines ◽  
Keyword Extraction ◽  
Web Page ◽  
C Language ◽  
Search Engine Optimization ◽  
Page Ranking ◽  
Extraction Algorithm ◽  
A Site

Search engines can bring a lot of benefit to the website. For a site, each page’s search engine ranking is very important. To make web page ranking in search engine ahead, Search engine optimization (SEO) make effect on the ranking. Web page needs to set the keywords as “keywords" to use SEO. The paper focuses on the content of a given word, and extracts the keywords of each page by calculating the word frequency. The algorithm is implemented by C # language. Keywords setting of webpage are of great importance on the information and products

scholarly journals Search Engine Optimization: What Drives Organic Traffic to Retail Sites?

2015 ◽  
Vol 25 (1) ◽  
pp. 6-31 ◽  
Author(s):  
Michael R. Baye ◽  
Babur De los Santos ◽  
Matthijs R. Wildenbeest
Keyword(s):  
Search Engine ◽  
Search Engine Optimization

Internet marketing tool – SEO-optimization of the enterprise site

2021 ◽  
pp. 84-89
Author(s):  
Ihor Ponomarenko ◽  
Alina Sapian
Keyword(s):  
Search Engine ◽  
Research Methodology ◽  
Internet Marketing ◽  
Target Audience ◽  
Digital Marketing ◽  
The Internet ◽  
Digital Environment ◽  
Important Place ◽  
Search Engine Optimization ◽  
Web Resource

The purpose of this article is to consider issues related to the peculiarities of the use of search engine optimization in the implementation of a comprehensive marketing strategy in the digital environment. Research methodology. The research methodology is system-structural and comparative analyzes (to study the application of search engine optimization in the process of improving the efficiency of the company on the Internet); monograph (the study of various software solutions in the field of digital marketing); eco- nomic analysis (when assessing the effectiveness of the use of SEO in the process of attracting the target audience and its impact on the growth of conversions). The scientific novelty – features of using search engine optimization as an effective tool of digital marketing in modern conditions are revealed. The expediency of using SEO to increase the level of competitiveness of the company on the Internet is proved. A set of Internet marketing measures to strengthen the company’s communications with the target audience in the digital environment is revealed, as well as the role in this structure of search engine optimization is outlined. The expediency of building a semantic core as a basic element of search engine optimization of a company’s web resource and creating preconditions for long-term provision of high positions of the site in search services is proved. The subject of the research is the approach to the possibility of using search engine optimization methods in modern conditions to ensure a highly competitive position of the company and its web resources in the digital space in the long period. Conclusions. The digitalization of business leads to the intensification of the use of various digital marketing tools, among which search engine optimization occupies an important place. SEO-optimization of the company’s website involves the implementation of a set of measures aimed at increasing the place of the re- source in search results. Innovative approaches make it possible to integrate an up-to-date keyword list into important elements of a company’s web resource and to constantly update libraries in order to ensure high search engine rankings. Keywords: audience, Internet marketing, search engine optimization, site, targeted traffic.

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