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Analysis of Internal and External Website Usability Factors

Botchway Ivy Belinda, Alese Boniface Kayode, Nunoo Solomon, Thompson Aderonke Favour-Bethy. Published in Information Sciences.

Communications on Applied Electronics
Year of Publication: 2021
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Botchway Ivy Belinda, Alese Boniface Kayode, Nunoo Solomon, Thompson Aderonke Favour-Bethy
10.5120/cae2021652880

Botchway Ivy Belinda, Alese Boniface Kayode, Nunoo Solomon and Thompson Aderonke Favour-Bethy. Analysis of Internal and External Website Usability Factors. Communications on Applied Electronics 7(35):9-18, April 2021. BibTeX

@article{10.5120/cae2021652880,
	author = {Botchway Ivy Belinda and Alese Boniface Kayode and Nunoo Solomon and Thompson Aderonke Favour-Bethy},
	title = {Analysis of Internal and External Website Usability Factors},
	journal = {Communications on Applied Electronics},
	issue_date = {April 2021},
	volume = {7},
	number = {35},
	month = {Apr},
	year = {2021},
	issn = {2394-4714},
	pages = {9-18},
	numpages = {10},
	url = {http://www.caeaccess.org/archives/volume7/number35/877-2021652880},
	doi = {10.5120/cae2021652880},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

End-user feedback on products is vital to enhance their speed and performance. These evaluations reveal satisfaction levels of end-users, which center on the ease of use and understandability of such applications. This study evaluates the internal and external attributes of the usability of four (4) websites using three automated tools namely Gtmetrix, Website grader, and Pingdom along with the administration of survey questionnaire. The internal attributes were measured for factors such as performance, page size, load time, and page requests using automated tools while the external attributes were measured using surveys on ease of navigation, organisation of information, and other factors. The scores from the survey were tested for reliability using the Cronbach Alpha technique and modeled in IBM SPSS Statistics 26.0 software. Results obtained from the survey-based approach showed that all four websites have good usability features and hence passed the test. Nonetheless, two other websites ranked low when evaluated with automated tools.

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Keywords

Usability, survey, external attributes, internal attributes, Gtmetrix, Website grader, Pingdom, Performance, load time, page request, page size, website