Influences of Search Engine Optimization on Performance of SMEs

2015 ◽  
Vol 13 (1) ◽  
pp. 27-49 ◽  
Author(s):  
Stella Tomasi ◽  
Xiaolin Li
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
User Engagement ◽  
Small Companies ◽  
Time Duration ◽  
Sales Revenue ◽  
Impact Performance ◽  
Search Engine Optimization ◽  
Search Results ◽  
Global Reach

Search engines have become an important channel for increasing SMEs' global reach as well as competing with larger companies. Therefore, SMEs are enhancing their business visibility through search engine optimization (SEO). With effective SEO techniques, small companies can appear ahead of large, well-known companies on search results. However, in addition increasing the ranking on a search engine results page (SERP), there may be other benefits that SMEs may enjoy while engaging in an SEO campaign. This study uses multiple firms as cases to illustrate how SEO initiatives can impact performance for SMEs. The authors found that in addition to increasing the rankings on SERPs, SMEs saw an increase in number of visitors to the site, the average time duration of users visiting the site, more user engagement and an increase of annual sales revenue.

Influences of Search Engine Optimization on Performance of SMEs

2017 ◽  
pp. 1371-1397
Author(s):  
Stella Tomasi ◽  
Xiaolin Li
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
User Engagement ◽  
Small Companies ◽  
Time Duration ◽  
Sales Revenue ◽  
Impact Performance ◽  
Search Engine Optimization ◽  
Search Results ◽  
Global Reach

Search engines have become an important channel for increasing SMEs' global reach as well as competing with larger companies. Therefore, SMEs are enhancing their business visibility through search engine optimization (SEO). With effective SEO techniques, small companies can appear ahead of large, well-known companies on search results. However, in addition increasing the ranking on a search engine results page (SERP), there may be other benefits that SMEs may enjoy while engaging in an SEO campaign. This study uses multiple firms as cases to illustrate how SEO initiatives can impact performance for SMEs. The authors found that in addition to increasing the rankings on SERPs, SMEs saw an increase in number of visitors to the site, the average time duration of users visiting the site, more user engagement and an increase of annual sales revenue.

scholarly journals Search Engine Optimization with Google-Web

2019 ◽  
pp. 227-230
Author(s):  
Pratik C. Jambhale
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Page Rank ◽  
Web Presence ◽  
Search Engine Optimization ◽  
Search Results ◽  
Web Document ◽  
Search Patterns ◽  
User Friendly ◽  
Google Search

Search engine optimization is a technique to take a web document in top search results of a search engine. Web presence Companies is not only an easy way to reach among the target users but it may be profitable for Business is exactly find the target users as of the reason that most of the time user search out with the keywords of their use rather than searching the Company name, and if the Company Website page come in the top positions then the page may be profitable. This work describes the tweaks of taking the page on top position in Google by increasing the Page rank which may result in the improved visibility and profitable deal for a Business. Google is most user-friendly search engine to prove for the all users which give user-oriented results. In addition ,most of other search engines use Google search patterns so we have concentrated on it. So, if a page is Register on Google it Is Display on most of the search engines.

scholarly journals Architecture of a Commercialized Search Engine Using Mobile Agents

2019 ◽  
Vol 1 (1) ◽  
Author(s):  
Falah Hassan Ali Al-akashi
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Mobile Agents ◽  
Experimental Results ◽  
Market Place ◽  
Unique Challenge ◽  
Search Engine Optimization ◽  
Search Results

Shopping Search Engine (SSE) implies a unique challenge for validating distinct items available online in market place. For sellers, having a user listing appear number one in search results is crucial. Buyers tend to click on and buy from the listings which appear first. Search engine optimization devotes that goal to influence such challenges. In current shopping search platforms, lots of irrelevant itemsretrieved from their indices; e.g. retrieving accessories of exact items rather than retrieving the itemsitself, regardless the price of item were considered or not. In our proposal, we exploit the drawbacks of current shopping search engines. In another side, users tend to move from shoppers to another searching for appropriate items where the time is crucial for consumers. The main goal of this research is to combine and merge multiple search results retrieved from some popular shopping sellers in a listof relevant items. Experimental results showed that our approach is efficient and robust for retrieving acomplete list of desired items with respect to all users‟ query keywords.

scholarly journals Search Engine Optimization with A/B Testing

2019 ◽  
Vol 8 (2) ◽  
pp. 4484-4488
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Digital Marketing ◽  
High Ranking ◽  
Search Engine Optimization ◽  
Search Results ◽  
The World ◽  
Core Elements

The search engine optimization, or in short- SEO, is the largest speck of digital marketing, often the hardest thing to learn. Since there are so many individual components that make the large picture of what SEO is, people assume one can never fully learn SEO. While this can be considered true, due to the constant changes in the world of digital marketing, breaking SEO down to its core elements, and understanding them all individually, will help user better grasp the overall concept. In this paper we will learn the basics of search engine optimization and page rankings and this report will explain user how to start doing SEO with Google and provide user the basic SEO framework. Search engine optimization (SEO) is a methodology of strategies, techniques and tactics used to increase the amount of visitors to a website by obtaining a high-ranking placement in the search results page of a search engine (SERP) — including Google, Bing, Yahoo and other search engines.

scholarly journals The Matter of Chance: Auditing Web Search Results Related to the 2020 U.S. Presidential Primary Elections Across Six Search Engines

2021 ◽  
pp. 089443932110068
Author(s):  
Aleksandra Urman ◽  
Mykola Makhortykh ◽  
Roberto Ulloa
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Large Scale ◽  
Web Search ◽  
Primary Elections ◽  
Virtual Agents ◽  
Search Results ◽  
Presidential Primary ◽  
Large Scale Analysis ◽  
Algorithmic Information

We examine how six search engines filter and rank information in relation to the queries on the U.S. 2020 presidential primary elections under the default—that is nonpersonalized—conditions. For that, we utilize an algorithmic auditing methodology that uses virtual agents to conduct large-scale analysis of algorithmic information curation in a controlled environment. Specifically, we look at the text search results for “us elections,” “donald trump,” “joe biden,” “bernie sanders” queries on Google, Baidu, Bing, DuckDuckGo, Yahoo, and Yandex, during the 2020 primaries. Our findings indicate substantial differences in the search results between search engines and multiple discrepancies within the results generated for different agents using the same search engine. It highlights that whether users see certain information is decided by chance due to the inherent randomization of search results. We also find that some search engines prioritize different categories of information sources with respect to specific candidates. These observations demonstrate that algorithmic curation of political information can create information inequalities between the search engine users even under nonpersonalized conditions. Such inequalities are particularly troubling considering that search results are highly trusted by the public and can shift the opinions of undecided voters as demonstrated by previous research.

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

Website removal from search engines due to copyright violation

2019 ◽  
Vol 71 (1) ◽  
pp. 54-71 ◽  
Author(s):  
Artur Strzelecki
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Design Methodology ◽  
Global Analysis ◽  
Domain Name ◽  
Content Type ◽  
Search Results ◽  
Internet Users ◽  
Copyright Violation

Purpose The purpose of this paper is to clarify how many removal requests are made, how often, and who makes these requests, as well as which websites are reported to search engines so they can be removed from the search results. Design/methodology/approach Undertakes a deep analysis of more than 3.2bn removed pages from Google’s search results requested by reporting organizations from 2011 to 2018 and over 460m removed pages from Bing’s search results requested by reporting organizations from 2015 to 2017. The paper focuses on pages that belong to the .pl country coded top-level domain (ccTLD). Findings Although the number of requests to remove data from search results has been growing year on year, fewer URLs have been reported in recent years. Some of the requests are, however, unjustified and are rejected by teams representing the search engines. In terms of reporting copyright violations, one company in particular stands out (AudioLock.Net), accounting for 28.1 percent of all reports sent to Google (the top ten companies combined were responsible for 61.3 percent of the total number of reports). Research limitations/implications As not every request can be published, the study is based only what is publicly available. Also, the data assigned to Poland is only based on the ccTLD domain name (.pl); other domain extensions for Polish internet users were not considered. Originality/value This is first global analysis of data from transparency reports published by search engine companies as prior research has been based on specific notices.

scholarly journals IMPLEMENTASI ALGORITMA GOOGLE LATENT SEMANTIC DISTANCE UNTUK EKSTRAKSI RANGKAIAN KATA KUNCI ARTIKEL JURNAL ILMIAH

2018 ◽  
Vol 2 (2) ◽  
pp. 186
Author(s):  
Novario Jaya Perdana
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Semantic Distance ◽  
Relevant Information ◽  
High Accuracy ◽  
Hard Work ◽  
The Internet ◽  
Search Results ◽  
Search Result

The accuracy of search result using search engine depends on the keywords that are used. Lack of the information provided on the keywords can lead to reduced accuracy of the search result. This means searching information on the internet is a hard work. In this research, a software has been built to create document keywords sequences. The software uses Google Latent Semantic Distance which can extract relevant information from the document. The information is expressed in the form of specific words sequences which could be used as keyword recommendations in search engines. The result shows that the implementation of the method for creating document keyword recommendation achieved high accuracy and could finds the most relevant information in the top search results.

Search Engine Performance Comparisons

2011 ◽  
pp. 148-164
Author(s):  
Xiannong Meng ◽  
Song Xing
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Engine Performance ◽  
Process Time ◽  
Average Process ◽  
Search Results ◽  
Time Average ◽  
Evaluation Techniques ◽  
Average User

This chapter reports the results of a project attempting to assess the performance of a few major search engines from various perspectives. The search engines involved in the study include the Microsoft Search Engine (MSE) when it was in its beta test stage, AllTheWeb, and Yahoo. In a few comparisons, other search engines such as Google, Vivisimo are also included. The study collects statistics such as the average user response time, average process time for a query reported by MSE, as well as the number of pages relevant to a query reported by all search engines involved. The project also studies the quality of search results generated by MSE and other search engines using RankPower as the metric. We found MSE performs well in speed and diversity of the query results, while weaker in other statistics, compared to some other leading search engines. The contribution of this chapter is to review the performance evaluation techniques for search engines and use different measures to assess and compare the quality of different search engines, especially MSE.

Website Quality Evaluation Based on Search Engine Queries using Web Rank Position Algorithm (WRPA)

2016 ◽  
Vol 4 (1) ◽  
pp. 224
Author(s):  
Chandran M ◽  
Ramani A. V
Keyword(s):  
Search Engine ◽  
Search Engines ◽  
Quality Evaluation ◽  
Research Work ◽  
Search Query ◽  
Website Quality ◽  
Search Results ◽  
Search Result ◽  
Different Types

<p>The research work is about to test the quality of the website and to improve the quality by analyzing the hit counts, impressions, clicks, count through rates and average positions. This is accomplished using WRPA and SEO technique. The quality of the website mainly lies on the keywords which are present in it. The keywords can be of a search query which is typed by the users in the search engines and based on these keywords, the websites are displayed in the search results. This research work concentrates on bringing the particular websites to the first of the search result in the search engine. The website chosen for research is SRKV. The research work is carried out by creating an index array of Meta tags. This array will hold all the Meta tags. All the search keywords for the website from the users are stored in another array. The index array is matched and compared with the search keywords array. From this, hit to count is calculated for the analysis. Now the calculated hit count and the searched keywords will be analyzed to improve the performance of the website. The matched special keywords from the above comparison are included in the Meta tag to improve the performance of the website. Again all the Meta tags and newly specified keywords in the index array are matched with the SEO keywords. If this matches, then the matched keyword will be stored for improving the quality of the website. Metrics such as impressions, clicks, CTR, average positions are also measured along with the hit counts. The research is carried out under different types of browsers and different types of platforms. Queries about the website from different countries are also measured. In conclusion, if the number of the clicks for the website is more than the average number of clicks, then the quality of the website is good. This research helps in improvising the keywords using WRPA and SEO and thereby improves the quality of the website easily.</p>

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