Website Performance Research Articles

Visits to a Malayalam website on mental health: Analysis of Seven Years' Data

Background: Online articles are an important opportunity for educating the public on mental health topics. No previous study has examined the performance of a mental health website with content in an Indian language. Methods: Data on user acquisition and behaviour were obtained through Google Analytics for the first seven years (February 2014 – February 2021) of a Malayalam website that features 93 articles on mental health. Major Google Analytics variables assessed were the numbers of new and returning visitors, bounce rate, number and duration of sessions, pageviews, and unique pageviews. Relevant variables were compared for the first and seventh years. Results: In the seven years, there were 82,137 sessions, of which 21.81% were from returning visitors, 64.03% were from India, and 35.54% were from the state of Kerala, India. The mean session duration was 2 minutes 18 seconds. User engagement dropped over the study period. While in the first year, 77.20% of the visitors accessed the website from desktops, in the seventh year, 72.03% used mobile phones. Though social media was the major source of visitors (36.26%), the proportion of visitors has declined. Over the study period, the specific social media sites that send the most traffic and the browsers the visitors predominantly use have changed. Most keywords that brought users from search engines were about love and sex. The most popular articles were also about love and sex. Conclusion: Periodic and long-term monitoring using Google Analytics can provide insights that owners of mental health websites can exploit to attract more visitors and improve user engagement. Older websites may need optimization to utilize the growing visits from mobile phones.

Usability Evaluation of Encyclopedia Websites

Usability is an important aspect that every website should focus more. It tells us how well and success website will function with real users. Many people often think usability tests are expensive and time-consuming. It can be a cost-effective and time saver with usability testing instead of spending more time fixing an unusable website. This study evaluates the usability of encyclopedia websites by using automated usability testing tools and questionnaire methods. The questionnaire was developed based on a standard form called Website Analysis and Measurement Inventory (WAMMI) that identified 20 common usability questions divided into five categories. Each category deals with one aspect of usability. Simultaneously, the automated usability testing tools used in this study were Pingdom and GT Metrix to calculate and analyse the website performance of selected encyclopedia websites based on website components including page load time, media size and overall web performance grades. This study could help web designer, developer, and practitioners design better and more user-friendly encyclopedia websites.

Learners’ Satisfaction With the Website Performance of an Open and Distance Learning Institution: A Case Study

This paper explores learners’ awareness of and satisfaction with the e-services that an open university provides its learners through its Website. The paper further highlights the influence of age, gender, and education levels on learners’ awareness and satisfaction levels. A case-study approach was adopted and an online survey was used to collect data from learners in various programs of study at Uttarakhand Open University, India. The questionnaire measured the awareness levels of learners regarding 15 frequently used e-services and their satisfaction levels with the 12 most frequently used e-services that the university offers. Results show that gender, age, and education level have a significant influence on the awareness and satisfaction level of the participants. When maturity level and education level of the participants increased, they are more aware of the e-services provided by the University. In some cases, up to 58% of users were unaware of the university’s e-services, and a large number of respondents were either dissatisfied with or undecided regarding the university’s e-services. Results indicate that infrastructure is required for learners’ optimal use of information and communication technology and the e-services that the university offers, including the provision of Internet connectivity at all of the university’s learning support centers.

Analysis The Effect of Website Quality on User Satisfaction with The WebQual 4.0 Method and Importance-Performance Analysis (IPA) (Case Study: SPMB Sebelas Maret University’s Website)

The digital era describes the presence of technology where everyone can exchange information so quickly by the internet. For an institution, a website has its own benefits, among others, as a media for promotion, presenting information, and providing online services. This study aims to evaluate and improve website performance by analyzing the quality of the Sebelas Maret University selection of new student admissions (SPMB) website by utilizing a combination of WebQual 4.0 and Importance Performance Analysis (IPA) methods. In its analysis, WebQual method looks at 3 main dimensions: Usability Quality, Information Quality, and Service Interaction Quality. This research, which involved students in UNS, found that the website’s gap analysis still has a negative value on all attributes and there are several attributes that require improvement related to website design, presentation of detailed and up-to-date information and navigation on the website. The results from this study are expected could be used as evaluation for the SPMB website’s development to meet user expectation.

PENGUKURAN KUALITAS WEBSITE RUMAH BATIK ANDALAN METODE WEBQUAL 4.0 DAN IMPORTANCE PERFORMANCE ANALYSIS

Rumah Batik Andalan is a shop that produces Malay batik with the name of the mainstay batik home website. The website has never been evaluated on the quality of the website so there is no known level of website quality on visitor satisfaction. Webqual 4.0 method website problems on the Usability dimension regarding unattractive appearance, the Information Quality dimension is not updated in batik motifs, the Interaction Quality dimension does not have a sale and purchase transaction feature. The purpose of this study was to analyze website quality using the Webqual 4.0 method and Importance Performance Analysis (IPA). This research uses a quantitative approach by distributing questionnaires to visitors. The tools used to process data from questionnaires on WebQual and IPA are SPSS 22. The results of the analysis of the suitability level are still below 100% and the attributes are low with a value of 48%, which is quite detailed and safe information when transacting. all indicators, this shows that the quality of the website otherwise can not meet the wishes of users. While the results of the IPA analysis show that the priority indicators for improvement on the website are an attractive appearance, provide detailed information, and are safe when making transactions. The results of the calculation of the level of user satisfaction from the Customer Satification Index (CSI) on the Rumah Batik Andalan website obtained a value of 65%, this shows that the overall website performance was quite satisfied

LinkGenn - SEO and SEM Explorer with Free and Paid Optimum Solutions

Nowadays with the development of digital platforms digital marketing have been most important thing that every business needs to focus on. This study discusses the review of Search Engine Optimisation (SEO) and Search Engine Marketing (SEM) explorer with free and paid optimum solution tool which is aimed to give a better understanding about digital marketing, SEO site performance which is a must to know before going forward with digital marketing plans. Lack of knowledge in digital marketing has effect small scale to large scale business owners. This tool helps to identify their website performance speed and SEO in understandable way which suggests free and paid optimum solutions. The main purpose of this study is to get more business to LinkGenn by giving better understanding to the customer to identify websites performance problems and suggest free and paid solutions to fix it from their side or with Linkgenn, the entire project develop according to waterfall method. The finding of the study indicated how website performance affecting on digital marketing campaigns, and it uses new developed Linkgenn metrics to give ranking scores and solutions based on website results, with the pandemic lot of businesses have changed their traditional marketing pattern with digital so this would be an important tool for every business to archive their sales goals with remarkable KPIs.

Analysis of Web Components in Website Design

The main objective of research article is to measure the download performance of website. In the methodology various elements are taken into consideration viz., HTML tags, Objects, Images, CSS, Scripting, Website size. The download time of website is measured in ranking grades viz. A, B, C, D, E, F etc. The website developer needs to observe the performance of various elements and optimum download time into order to improve the performance of website design.

On Latency of E-Commerce Platforms

ABSTRACT For e-commerce retailers, even small increases in waiting times have been found to lead to user dissatisfaction and losses in sales. This paper investigates how contextual and behavioral factors influence the impact of latency on the website performance of a real e-commerce platform. The results show an increased impact of latency for users with faster navigation speed and mobile users. They further show a long-term effect of latency on customer returns and confirm previous findings that show a lower impact of latency for users that are familiar with a website. These results provide a case for real-time behavioral analytics by classifying customers based on navigational speed. It further points out two ways to increase revenue: (i) by prioritization of customers and (ii) by optimization of web-pages toward lower latency.

Website performance: evaluation in Ngawi District Government websites

The use of the website in the delivery of public services, which has improved markedly over time, is still little research on the issue, especially with regard to developing countries. The paper uses website development to examine the performance and determinants of e-Gov at the local government level in the developing country, Indonesia. Content analysis was used in determining website performance with respect to usability, service, citizen participation and content, while a survey of 235 webmasters was used to identify the determinants of website performance and relationship among them. Research findings showed that website performance took three forms: high, medium, and low. Regulatory support, website management and database management had positive and significant influence on website performance, while quality of human resource and supporting technology had positive and significant influence on website performance but mediated through website management and database management. This research tries to fill the missing gap in literature by delving into the perception of webmasters of website management on the level of performance and determinants of website performance.

Evaluating Chinese Potential e-Commerce Websites based on Analytic Hierarchy Process

China has recently become the largest market for e-commerce at the global level. After the technological revolution and its widespread, As of December 2020, about 782.41 million people deal with this e-commerce through modern and advanced electronic devices, which are smartphones, computers, and others. The study of e-commerce is one of the branches of business administration established electronically through the use of Internet networks, which aim to carry out buying and selling operations. This article applied the Analytic hierarchy process (AHP) to evaluate three potential Chinese e-Commerce websites: JD, TAOBAO, and SUNING. We divided our model into three primary levels: Goal level, Strategical level, and criteria level. We take two main factors into account at the Strategical level: website (A1) and user (A2). Meanwhile, in the criteria level, we consider the total of six aspects: Visiting speed (B1), website stability (B2), page ranking (B3), average person visits (B4), period of average person visits (B5), and users' comments (B6). We also make all scores normalized; all scores are mapped into 0-1 to compare each website's performance. Our results show the TAOBAO is the best E-commerce website with a score of 0.8233 based on our algorithm, and JD is the second one with a score of 0.7895, while SUNING is the worst with a score of 0.5955.

Ratio of the structure of hotel online booking channels and the monitoring of the quality of hotel websites in a multidimensional system

Purpose: The purpose of this paper is to explore the potentials that can positively impact the success of a hotel online business by: (1) exploring the specifics of the internal structure of online booking channels in the hotel business, (2) identifying the value and distribution of the potential to increase hotel bookings through the hotel website, (3) identifying the potential by exploring the space for improving hotel website excellence, and (4) developing an innovative multidimensional metric for monitoring hotel website quality. Methodology: This research was approached in a way that the issue is considered from two aspects. Firstly, the potential to improve the ratio value of the hotel online booking channel structure is observed. The survey in the Republic of Croatia was conducted by regions on a sample of 4* and 5* hotels. Secondly, the potential to improve a hotel business is considered as the possibility to improve the performance of a hotel website. Results: The research results show the value and distribution of the potential which can be used for a positive impact on the hotel business. Furthermore, the use of the presented multidimensional metric model allows a clear recognition of the potential for the hotel website quality improvement. Conclusion: It can be concluded that both aspects of the potential research (in addition to the research findings), open up numerous possibilities for conducting similar or more complex analytical procedures and a new empirical research.

Usability and Accessibility Assessment of Saudi Arabia Mobile E-Government Websites

The rapid spread of smart mobile technology is transforming the way how governments provide information and services to their citizens. We all are rely more on our devices, namely smartphones, laptops, or desktop to get information and a wide range of services from government websites. Such heavy usage of government websites results in an increased need for efficient and effective delivery of government services. Therefore, mobile government websites' usability and accessibility are essential dimensions that determine the quality and accessibility of mobile e-government. The main objective of this research is to analyze the accessibility and usability aspects of selected public sector websites in Saudi Arabia. This study investigates how well the Saudi mobile e-government websites comply with usability standards and accessibility guidelines recommended in the Web Content Accessibility Guidelines (WCAG). Websites assessments were conducted using manual evaluation and complemented by different automated analysis tools. This study applies a number of evaluation techniques to assess Saudi government websites accessed from desktop or mobile devices, such as an automated website testing technique, mobile-friendliness testing, and content observation technique. Various tools have been used for site evaluation, such as GTmetrix (PageSpeed Score, YSlow Score), WAVE, Google mobile-friendly test, and Dareboost for mobile websites. The study uncovers shortcomings regarding non-compliance to international web standards recommendations. The findings revealed usability and accessibility problems that affect the performance of government websites. In order to improve these websites within these aspects, several recommendations were suggested for improving the usability and accessibility of websites in Saudi Arabia that will make sure different groups of citizens are satisfied with the website features and services provided by them.

DO GENDER, AGE AND FREQUENCY OF INTERNET ACCESS MATTER ON THE PERCEIVED IMPORTANCE OF HOTEL WEBSITE FEATURES?

Purpose – This study measures the relative importance of hotel website features based on users’ perceptions and analyses the impact of gender, age, and frequency of Internet access on the given importance of features. Our study includes ten features and three hypotheses. Design/methodology/approach – A research questionnaire was developed and distributed to hotel guests. A total of 406 responses were collected. Statistical analysis included paired t-tests and oneway ANOVA. Findings – Results showed that users prioritized information about products and services, bookings and reservations, an easy-to-use website, and contact information. Privacy, design, and information on the surroundings were also important features. Customer feedback options, corporate information, and links to social media sites were ranked as significantly less important. Moreover, age and frequency of Internet access have a significant impact on the perceived importance of features, while no differences were found with regard to gender. Originality – Many studies have used web performance tools to measure the performance of hotel websites. However, these studies have not provided guests’ preferences and perceived importance of website features. To our knowledge, no previous research has examined the effect of gender, age, and frequency of Internet access on the perceived importance of hotel website features.

Which Resources Are Better: Sales or Scholarly? An Assessment on the Readability, Quality, and Technical Features of Online Chemical Peel Websites.

BackgroundChemical peels are an exceedingly popular cosmetic treatment with a wide variety of suppliers, each with its own online health resource describing the procedure. With increasing reliance on the internet for medical information, it is crucial that these resources provide reliable information for patients to make informed decisions.ObjectivesThe aim of this study was to examine popular chemical peel resources and determine if those that offered chemical peel treatments (Sales) had lower readability, quality of information, and technical features compared with those that did not (Scholarly).MethodsThe term “chemical peel” was searched in July 2020 and the top 50 websites were retrieved for analysis. Each resource’s readability, quality, and technical features were measured through 8 readability formulas, the DISCERN and Health on the Net Code (HONcode), and 2 website performance monitors.ResultsThe 50 websites were analyzed with an average Fry readability score of 13th grade. Scholarly websites displayed higher readability than Sales (Flesch Reading Ease 54.4 > 47.4, P = 0.047 and Coleman-Liau Index 10.6 < 11.7, P = 0.04). Scholarly resources surpassed Sales both in quality (DISCERN 56.4 > 39.7, P < 0.001 and HONcode 11.8 > 9.5, P = 0.032) and technical features (WooRank 76.9 > 68.6, P = 0.0082).ConclusionsThe average readability of chemical peel resources is too difficult, and their quality must be improved. Scholarly resources exhibited higher readability, quality, and technical features than Sales websites.

The Quality of Infectious Disease Hospital Websites in Poland in Light of the COVID-19 Pandemic.

The quality of healthcare service websites gains particular importance in the time of the pandemic, asthe popularity of electronic services grows. This applies to infectious disease hospitals as well, often on the front line of the effort against COVID-19. The paper aims to assess the quality of infectious disease hospital websites in Poland in light of the COVID-19 pandemic. The research covered 91 websites. The first stage was an analysis of selected technical attributes of the websites (including website performance, SEO quality, website availability, and mobile-friendliness) with selected online tools, such as Google PageSpeed Insights, Blink Audit Tool, Backlink Checker, andwebsite accessibility evaluation tool (WAVE). The data were then analyzed with statistical methods. The next step was to analyze the content of the websites. The research has shown that most of the websites were of satisfactory quality, apart from those that were not mobile-ready. The following keywords were found most often on the hospital websites: SARS-CoV-2, COVID-19, smear, specialist care clinic, isolation, telephone consultations, sample collection center, support, coronavirus, recommendations, patient registration, signs of disease. The research suggests that the quality of infectious disease hospital websites in Poland is significantly diversified in search engine optimization, mobile-friendliness, and needs of people at risk of digital exclusion.

Website Functionality of Convention and Exhibition Centers: Important Performance Dimensions and Attributes

A convention and exhibition center (CEC) offers spaces and services for various events. An effective website is important for a CEC because event site selection involves extensive long-distance information searching and communication. However, despite ample website evaluation studies conducted in the tourism and hospitality field, very few studies can adequately reflect the business environment of the CECs and the decision process of selecting a CEC. This study builds on the existing models for hotel website performance and identifies the important dimensions and attributes of a CEC website through a focus group discussion with multiple stakeholders on the selection of event venues. A framework with four dimensions and 41 attributes is developed. The results show that CECs websites should focus on Venue Facilities and Services (VFS), Contact Information (CI), Website Management (WM), and Destination Information (DI). Functions related to reservation and payment, which are very important for hotels, are found not value-added for CECs. The study expands the literature on website evaluations and e-marketing. Managerial insights are also provided to CEC operators and other related industry practitioners.

Sliding Puzzle CAPTCHA Analysis

Today a number of everyday activities are done through the Internet. To perform such web services users must register in relation to websites or fill some form. In such websites, some hackers write malicious programs called bots that destroy website resources by creating fake registrations or form submissions. This false registration may adversely affect the performance of websites. Therefore, it is necessary to distinguish between actual human users and Web bots (or computer programs) via tests known as CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart). Most of the conventional CAPTCHA challenges have become an easy nut to crack for bots, hence calling a need for better CAPTCHA alternatives. This paper studies the infamous 'Sliding Puzzle' as an alternate CAPTCHA challenge and analysing the complexity to solve it via bot script.

The use of web analytics combined with other data streams for tailoring online vaccine safety information at global level: The Vaccine Safety Net’s web analytics project

The Vaccine Safety Net’s Web Analytics Project (VSN-WAP) was launched in October 2017 to monitor the behavior of users visiting websites belonging to the VSN, a global network of websites providing science-based information on vaccine safety. Participating websites could provide web metrics in two ways: through a Google Analytics (GA) script, which automatically forwarded metrics to a central account and through manual input (MI) of a reduced subset of metrics (Sessions, Page Views, New Users, Bounce Rate, Views/Session and Average Session Duration), which were pooled with the metrics obtained through GA. Additional metrics were obtained from websites providing data through Google Analytics (Country, Age, Sex, Device). We report results from February 2018 to March 2019. In March 2019, 32 websites were participating in the project (21 through GA, 11 through MI). From February 2018 to March 2019 we recorded 22,471,535 sessions, with 38,307,349 page views. Sessions, New Users and Page views progressively increased, Views/Session, Bounce Rate and Average Session Duration remained stable. Most users were female (68%) and belonged to the 25–34 age range (37%), followed by 35–44 (22%) and 18–24 (19%). Fifty-four percent of users connected from a mobile device, 42% from a desktop and 4% from a tablet.Digital media monitoring techniques can provide insights on the characteristics of users with a specific interest in vaccines. These data can be exploited to improve the performance of websites providing information on vaccines to the general public.

Website Performance: Evaluation in Ngawi District Government Websites

The use of the website in the delivery of public services, which has improved markedly over time, is still little research on the issue, especially with regard to developing countries. The paper uses website development to examine the performance and determinants of e-Gov at the local government level in the developing country, Indonesia. Content analysis was used in determining website performance with respect to usability, service, citizen participation and content, while a survey of 235 webmasters was used to identify the determinants of website performance and relationship among them. Research findings showed that website performance took three forms: high, medium, and low. Regulatory support, website management and database management had positive and significant influence on website performance, while quality of human resource and supporting technology had positive and significant influence on website performance but mediated through website management and database management. This research tries to fill the missing gap in literature by delving into the perception of webmasters of website management on the level of performance and determinants of website performance.

Web Page Recommendation Using Genetic and Feed Forward Association Rule on Web-Log Features

As websites are increasing day by day, so user behavior analysis for improving the website performance attracts many researcher. This paper introduces the web page recommendation model using web log feature of web mining. Here work has introduce Feed forward counter model (FFC) for identifying the association rule with single data iteration technique. Hence execution time for this gets reduced. Work has introduced the Particle swarm optimization algorithm for the selection of appropriate page from given user path as recommendation page. This work involves support of the association rule as fitness value. Experiment was done on real dataset obtained from project tunnel website. Results shows that by the use of Feed forward association rule with PSO for next page recommendation system has improve various evaluation parameters like precision, coverage, m-metric.