Knowledge and Data Processing in a Process of Website Quality Evaluation

2009 ◽  
pp. 51-61 ◽  
Author(s):  
Janusz Sobecki ◽  
Dmitrij Żatuchin
Keyword(s):  
Data Processing ◽  
Quality Evaluation ◽  
Website Quality

Evaluating website quality: which decision criteria do consumers use to evaluate website quality?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Phil Longstreet ◽  
Stoney Brooks ◽  
Mauricio Featherman ◽  
Eleanor Loiacono
Keyword(s):  
Quality Evaluation ◽  
Survey Methodology ◽  
Explanatory Power ◽  
Consumer Decision Making ◽  
Website Quality ◽  
Cue Utilization ◽  
Content Type ◽  
Quality Dimensions ◽  
Nomological Validity ◽  
Insight Into

PurposeThe purpose of this paper is to determine which design and operational attributes of e-commerce websites consumers use to assess website quality. Cue utilization theory is used to examine the explanatory power, robustness and relevance of the WebQual model. Results indicate which WebQual dimensions are the most relevant and salient to website users. These dimensions are categorized by their perceived and confidence values. A second study is conducted about how website users evaluate and utilize the WebQual dimensions.Design/methodology/approachSurvey methodology was utilized to provide insight into the nomological validity of the WebQual model by examining it through a cue utilization lens.FindingsThe first study categorizes the WebQual dimensions on their ability to provide a diagnostic measure of website quality, and consumer confidence in their ability to use these cues when judging the website's overall quality. The second study presents results of each dimension in relation to the quality evaluation of an actual e-commerce website. Additional analysis also revealed gender differences in cue utilization.Originality/valueThis study provided insight into WebQual-based research and identified original differences in cue utilization across genders. Results suggest that it may be beneficial for brand managers to focus on a subset of quality dimensions, rather than assume that consumers are comfortable using all website attributes to formulate quality judgments. These, results contribute to multiple literatures by providing a model that developers can utilize to focus on the deterministic characteristics of overall website quality. Further, the cue utilization perspective provides additional avenues for fruitful further research into consumer decision-making in the e-commerce context.

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>

scholarly journals Data Processing and Quality Evaluation of a Boat-Based Mobile Laser Scanning System

Sensors ◽  
2013 ◽  
Vol 13 (9) ◽  
pp. 12497-12515 ◽  
Author(s):  
Matti Vaaja ◽  
Antero Kukko ◽  
Harri Kaartinen ◽  
Matti Kurkela ◽  
Elina Kasvi ◽  
...  
Keyword(s):  
Data Processing ◽  
Laser Scanning ◽  
Quality Evaluation ◽  
Scanning System ◽  
Laser Scanning System

scholarly journals Systematic literature review on university website quality

2022 ◽  
Vol 25 (1) ◽  
pp. 511
Author(s):  
Ala' Hasan Saleh ◽  
Rasimah Che Mohd Yusoff ◽  
Nur Azaliah Abu Bakar ◽  
Roslina Ibrahim
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Interface Design ◽  
Information Quality ◽  
Quality Evaluation ◽  
Evaluation Model ◽  
Quality Factors ◽  
Quality Model ◽  
Specific Content ◽  
Website Quality

Website is a necessity for organizations to enable users worldwide to access their information and gain a competitive edge over others. The diversity of websites makes assessing website quality a difficult task. The aim of this paper is to identify the issues faced in the quality evaluation of university websites, the models and the factors used for evaluating university website quality. Systematic literature review was used to identify and synthesize related scholarly research papers. Findings show that there is a lack of study on university website quality compared to business websites; website designers did not have the appropriate knowledge on the interface design; and the website quality evaluation is complex since there is no specific evaluation model. Webqual 4.0 model was used to evaluate the quality of universities' websites. From 24 studies, initially 79 quality factors were extracted. After performing comparison, filtration and memoing, six quality factors were identified: information quality, specific content, usability, web appearance, service interaction quality, and functionality. This study makes a useful contribution in developing university website quality model by extending the Webqual 4.0 model.

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