Website Performance Research Articles

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.

Relationship between the customer expectations from websites performance and e-wom: a study on sport shoes brands

Purpose- Investigating the relationships among perceived website quality, sources of credibility, experience, social impact, and recommendation affect performance expectations, customer satisfaction, trust and WOM. Methodology- The data were gathered by personal interview and Structural Equation Modeling was used to test the relationships. Findings- The quality of the website content and the technological quality of the website have a positive impact on performance expectancy, while the website information quality has a negative impact on performance expectancy. The impact of adopting social impact and recommendations, the internet and past experience, sources of credibility on performance expectations were found insignificant. The impact of performance expectations on customer satisfaction and trust was found significant. The impact of performance expectancy on WOM was found insignificant. The direct impact of customer satisfaction on WOM was found significant. Conclusion- Technology or technological innovations that benefit customers or help their goals affect customer performance expectations. In the market conditions where the competition is rapidly increasing, it is an important element in terms of competition that the brands increase the performance expectations of consumers by attaching importance to the content quality and technical quality of the website. Increased performance expectation positively affects increased customer satisfaction and confidence in the website. In addition, customer satisfaction has a positive impact on word-of-mouth communication by enabling customers to have positive feelings and thoughts about the brand.

Pengembangan website koleksi langka Perpustakaan UGM sebagai preservasi digital heritage menuju era industri 4.0

Preserving rare collections is very important, considering the historical value in them, through digitalization and website development as the digital heritage preservation. The Google analytics data showed that the performance of UGM Library's rare collection website was still not significant, in terms of the number of users, visits, duration of visits, and repeat visits are still far from expectations. The purpose of this research was to find out the performance and use of the website, to find out the site that the user wants, and to formulate the development formula. The study used a combination of methods, through survey data collection with closed and open questionnaires plus interviews to deepen the problem: quantitative and qualitative analyses were performed, plus documentary analysis. The results showed that the website's performance was not yet encouraging; users wanted changes to 5 elements, namely appearance, visual appeal, information content, timely information, and ease of interaction. Expected developments include new historical nuances; installation of flipping book viewers and infographics; link addition; indexes, annotations, and recommended search; addition of reviews and social media columns. Google analytic data shows the need to reduce loading times by compressing PDF files and improving design according to mobile devices. Qualitative analysis succeeded in capturing the desire to access digital versions of Indonesian manuscripts in the Netherlands and the United Kingdom, and the need for additional graphic designer staff to improve the appearance and visual appeal.

0186 Sleep Quality and Expectations About Sleep are Associated with Performance in Individual Sports

Abstract Introduction Epidemiological studies on predictors of sport performance are rare. Some athletes report poor sleep the night prior to competition which may influence performance. The purpose of this study was to examine relationships between sleep and athletic performance in a sample of U.S. adults. Methods Self-identified athletes (n=635), recruited from Amazon’s Mechanical Turk website, completed demographic, sleep, and athletic performance questions. Participants were at least 18 years old and competed in at least one athletic competition during the prior 6 months. Sleep quality and perceived performance were rated on 5-point Likert scales (e.g., 1=sleep quality/performance was very much worse than usual to 5=very much better than usual). Additional questions asked about plausible confounding variables, including the presence of bodily pain, expectations about whether sleep influences sport performance, and intensity of effort given during the competition compared to usual effort. Results The sample was 42% female and 71% Caucasian with 94% between the ages of 18 and 39 years; 358 (56.4%) participated in an individual sport and 277 (43.6%) were team sport athletes. The most common sports were running (35%), basketball (14%), and soccer (6%). For individual sport athletes, three variables predicted a significant amount of the variance in perceived performance (R2 = 0.32, F(3, 354) = 56.30, p < .001): intensity of effort (β = 0.44, p < 0.001), sleep quality the night prior to competition (β = 0.14, p < 0.01), and expectations for performance change following a good night’s sleep (β = 0.14, p < 0.01). Team sport athletes’ perceived performance was predicted by the intensity of effort (β = 0.46, p < 0.001) and percentage of time spent in competition (β = 0.14, p = 0.01; R2 = 0.26, F(2, 271) = 47.50, p < .001). Conclusion Among individual sport athletes, and after adjusting for the intensity of their effort, prior night sleep quality and expectations regarding sleep and performance aided in predicting perceived performance. These relationships did not exist among team sport athletes, perhaps because of the greater error in estimating performance during team sport competition. Support

Usability and Performance Analysis of E-Commerce Websites

Online business or trade has become the buzz word in today’s Internet dominant era. The concept of using e-commerce sites for shopping the daily items and other goods have become also popular in the developing countries like India. The experience of users and study of their behaviour on e-commerce websites helps in determining the usability of these websites, which is acknowledged as a key factor for assessing the quality of any website. These quality measures along with performance measures are collected and compared for 28 e-commerce websites using two different approaches. The relative priority and preferences of the features and ease are investigated through a survey in this paper. Further, using GTmetrix-an online tool, speed tests and other parameters are garnered to analyze their performance. This research work is carried out with the objective to compare and analyze the performance of popular e-commerce websites and also to study its relationship with user preferences and behavior on these websites which can further guide the website developers and entrepreneurs in improving the performance and satisfying the customers.

Accessibility, usability, quality performance, and readability evaluation of university websites of Turkey: a comparative study of state and private universities

Today, the web constitutes an essential segment of higher education institutions. Using their websites, universities can effectively, efficiently, and satisfactorily provide information and services to their target groups, regardless of disabilities. As the number of disabled students in higher education rises, universities have to make the necessary design modifications to ensure web content accessibility. This paper presents an evaluation of accessibility, usability, quality performance, and readability aspects of all Turkish state and private university websites. The majority did not meet WCAG 2.0 accessibility criteria. Out of 110 state university websites and 69 private university websites, only 10 state and four private university websites attained conformance Level A. These results indicate low usability, quality performance, and readability that highlights the need for Turkish universities to devote more resources for making their websites more accessible, usable, high-quality performance, and readable for all their potential users.

Big Data Analytics for Search Engine Optimization

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.

A Fuzzy Performance Evaluation Model for Government Websites Based on Language Property and Balanced Score Card

The government website is an important tool for the government to improve administrative efficiency and public service. Just as traditional government management needs performance evaluation, government websites also need performance evaluation. Based on the theory of Balanced Scorecard (BSC), this article puts forward a set of BSC performance evaluation index system for government websites and uses analytic hierarchy process (AHP) to establish the weight of all levels of indicators in the system. According to the characteristics of website performance evaluation, the qualitative and quantitative indicators are disposed in a unified fuzzy processing, and the performance of government websites is evaluated objectively and impartially by multi-level fuzzy evaluation method, which provides a scientific and feasible method for promoting the performance of government websites.

Article Usage Analytics for the Canadian Journal of Communication 2015–2018: A Guide for Authors, Publishers, and Readers

Background The historical context for this article is the embrace by the Canadian Journal of Communication of emerging technology and, most recently, article analytics. Analysis The article focuses on four years of usage data for articles published since the 1974 founding of the CJC. It is intended to assist the journal, authors, and readers in understanding the potential for usage of articles published in CJC. The article details overall usage; explores journal penetration of global, national, and special markets; depicts the range of subject matter published; outlines the performance of the journal website and two secondary aggregators; summarizes usage levels throughout the journal’s collection; and reports on the year of publication and age of article data. Conclusions and implications The details of the findings provide insight into the nature of usage of articles in the field. In general, but of less interest than the detailed findings, one can surmise that usage is influenced by subject matter, presentation style, editorial vision, an initial quick rise to peak usage, access dynamics, but not authorship in and of itself.

Web Analytics for Knowledge Creation

Digitization efforts across the world have resulted in the need for businesses to own a website. All Fortune 500 companies run websites for either information dissemination or for transacting business. This has led to the increase in the number of websites as well as a growing competition to outdo each other. In order to gain competitive advantage, businesses need to have a detailed track of the activities going on their website to suffice their decisive knowledge. However, to monitor and to optimise the website performance, organisations need strong web analytics tools and skills. This work presents a comprehensive review of the web analytics tools and techniques, which are vital to report the website performance and usage. Present day practices of web analytics have been outlined from the perspective of business organisations, with suitable examples. A comparative analysis of the most important web analytics tools have been presented, including the free as well as subscription based tools. Future challenges and opportunities to web analytics practices have also been presented.

Bureaucracy and Challenges in Digital Era: A New Concept of Information Technology Integration in the Archipelagic Country

This study discusses a new concept on the integration of information technology government management in the archipelagic country. Data were obtained from several websites and social media applications on government matters in North Maluku and surrounding areas. Qualitative analysis is performed on all data collected using the Nvivo 12 application. The study results show that the concept of digital governance augments services of age with the availability and advancement of technology, a strategic and practical public sector. Formulating roadmaps of community digital information systems and e-government include practitioners, online fiscal transparency, performance reporting, improving citizen participation, privacy issues in e-governance, elections via the internet, and E-government network at the local level governance level. E-Government is based on technology policy and digitization policy bureaucracy that is accessible to the community. E-Government regulations include open governance, privacy protection, social media, democracy, organization innovation, managerial efficiency, public service delivery, and citizen involvement. This new concept significantly addresses various government management problems towards the excellent and clean government, especially in an archipelagic country like North Maluku Province, Indonesia. This study requires ongoing studies on the evaluation and performance of government websites in encouraging openness, data availability, dynamic interactions, and accuracy of various data, users, and digital service systems.

Cross-visiting Behaviour of Online Consumers Across Retailers\u2019 and Comparison Sites, a Macro-Study

Extant academic research provides a comprehensive view of online consumer behaviour on a single website, paying less attention to the integrated environment in which websites operate. Retailers’ products, however, are not only available on their own website, but also through other connected channels such as comparison sites. Our limited knowledge of consumers’ integrated behaviour across the entire market poses difficulties to design effective online strategies. At the same time, practitioners have mainly focused on website performance measures, ignoring the reasons behind the behaviour of consumers. A deeper understanding of consumers who visit different websites or, cross-visit, can inform successful online channel strategies. This macro-level study aims to bridge this gap by investigating how the usage behaviour on retailers’ websites and comparison sites influences each other, using large-scale industry-based data. A new measure of ‘cross-visiting’ behaviour is introduced and examined.

WWW Retrieval Handling Optimization [formula omitted]: A metric for webpage timeout setting performance evaluation and comparison

The rise of HTTP-based communications and the employment of HTML5 for cross-platform application development gives rise to a continuous increase of traffic over all types of networks and a continuous demand for caching of content. However, a remaining underlying problem is the timeout of resources, typically configured server-side and dependent on the type of web site that offers content. With common web server implementations, individual webobjects constituting the overall content cannot be readily configured independently, which results in premature timeouts of webobjects with undesired consequences on download times, rendering speed, and energy needed.We present and evaluate WWW Retrieval Handling Optimization wρ3, which provides optimization potentials for webpages. wρ3 can also be used to derive hints for fine-tuning the performance of the server-side configurations and to compare the performance of timeouts between web sites of different categories. Our metric features a tunable preference between counts of webobjects and the amount of data required and is a function of the re-visiting time. We showcase the applicability of wρ3 over a range of different web sites and categories, additionally evaluating the applicability over time horizons and worldwide request locations. The overarching flexibility and ease of use together with its overall performance evaluation results make wρ3 an ideal candidate as a generic web site performance measurement tool.

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

The academic excellence of universities around the globe has always been a matter of extended study and so has the quality of an institution’s presence in the World Wide Web. The purpose of this research is to study the extent to which a university’s academic excellence is related to the quality of its web presence. In order to achieve this, a method was devised that quantified the website quality and search engine optimization (SEO) performance of the university websites of the top 100 universities in the Academic Ranking of World Universities (ARWU) Shanghai list. A variety of tools was employed to measure and test each website and produced a Web quality ranking, an SEO performance ranking, as well as a combined overall web ranking for each one. Comparing these rankings with the ARWU shows that academic excellence is moderately correlated with website quality, but SEO performance is not. Moreover, the overall web ranking also shows a moderate correlation with ARWU which seems to be positively influenced by website quality and negatively by SEO performance. Conclusively, the results of the research indicate that universities place particular emphasis on issues concerning website quality, while the utilization of SEO does not appear to be of equal importance, indicating possible room for improvement in this area.

Comparative analysis of higher education websites belong to Pakistan and abroad

Background: Access to information is made easy by web-based technologies. Higher education institutes take benefits from web-based technologies by receiving and sharing information with students and staff members. The success of a website depends upon many factors, such as usability, type of information, processing speed, and search engine optimisation (SEO). Objective: The quality of higher education institute websites varies, i.e., the websites perform better in some parameters, while they are weak in other parameters. In this research, a comparative analysis is done on the basis of parameters related to speed and SEO of higher education institute websites belonging to Pakistan and other countries. Method: Different parameters related to speed (such as page loading time, connection time, etc.) and SEO are explored with the help of different tools such as Website Grader and Pingdom. Findings: This study shows that the websites of Pakistan are majorly weak in parameters such as page loading time, responsiveness, and SEO. The websites are also poorly developed. Applications/improvements: Findings of this research are not only helpful in improving the quality of new websites, but old websites can benefit from re-engineeringKeywords: Website Performance, Speed, SEO, Website Loading Time

Factors Affecting the Business Model Innovation Employed by Small and Micro Travel Agencies in the Internet+ Era

This study mainly investigated the factors affecting the business model innovation of small and micro travel agencies (SMTAs) in the Internet+ era. Based on a literature review, six hypotheses were proposed. To identify the influencing factors, the questionnaire, which was developed from previous studies, was distributed and 130 valid questionnaires were identified. Linear regression was used to test the hypotheses and further verify the relationship between each factor and the four dimensions of business model innovation. The results revealed that: 1. Organizational learning ability, consumer demand, entrepreneurial spirit, and website performance have significant effects on the business model innovation of SMTAs in the Internet+ era; 2. Organizational learning ability; consumer demand, and technological development were discovered to have positive effects on the value proposition innovation of SMTAs; 3. Consumer demand, entrepreneurial spirit, and organizational learning ability have positive effects on the value maintenance innovation of SMTAs; 4. Organizational learning ability and consumer demand have positive effects on the value network innovation of SMTAs; 5. Finally, organizational learning ability, website performance, and consumer demand have positive effects on the value realization innovation of SMTAs. These results can serve as the foundation for future relevant research and as a reference for SMTAs and related industry practitioners in their future management.

A Regression Model for Analysis of Bounce Rate using Web Analytics

Bounce rate is an effective parameter to measure the quality of any website. Bounce rate refers to the percentage of visitors that leave a website (or “bounce” back to the search results or referring website) after viewing only one page a website. High bounce rate is bad as it depicts that the content on a site didn’t match what the visitor was looking for so he left without viewing another page. Since bounce rate equates to visitors taking absolutely no action on a website so this metric could be used as a measure of success .This paper analyses the bounce rate of a website based on web analytics data. In this paper, analysis of bounce rate will be based on performance of website. Data is collected using Google Analytics tool. After applying preprocessing techniques to data an eleven step regression model is built using the various attributes like Average Server Response Time, Average Server Connection Time, Average Redirection Time, Average Page Download Time, Average Domain Lookup time and Average Page Load Time. Mathematical equation is constructed on the basis of outcome of result so that bounce rate can be analyzed and predicted. Model is further refined after establishing the correlation between various attributes. Correlation is established to improve the accuracy in analysis and prediction of bounce rate. This regression model gives insight about the various parameters involved and their effect on bounce rate. Qunatile Quantile plot is constructed to see if plausible data is normally distributed. This complete experiment is done using R Studio

Evaluating the performance of government websites: An automatic assessment system based on the TFN-AHP methodology

Government websites are currently important for providing information and services to citizens. It is a crucial task to evaluate the performance of each government website. The traditional evaluation processes based on experts are criticised as being subjective and cannot work in real time. This article proposes a framework and automatic assessment system for evaluating the performance of government websites in real time. To test the proposed framework and the automatic assessment system, we evaluate and classify 70 websites from Shaanxi Province of China. This article provides guidance for government agencies, managers of government websites and researchers.

Customer reactions to a webshop\u2019s service quality

E-commerce has become an integral part of the world’s economy. In this study we investigate the impact of service quality in e-tailing on site visits and consumer demand. Such an analysis is important given the almost Bertrand-like competitive structure. Our analysis is based on a large representative data set obtained from a price comparison site covering essentially the complete Austrian e-tailing market. Customer evaluations for a broad range of 15 different service characteristics are condensed using factor analysis. Negative binomial regression analysis is used to measure the impact of service quality dimensions on referral requests to online shops for different product categories. Our results show that the most important service quality aspects are those related to the ordering process and the firm’s website performance.