Remote Usability Testing Evaluation on the Most Visited E-commerce Website in Indonesia during Covid-19 Pandemic
2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021
; : 1417-1421, 2021.
Article
in English
| Scopus | ID: covidwho-1730990
ABSTRACT
During the Covid-19 pandemic, the online shopping platform help fulfill people's needs and it became a hub between the marketers to their customers. From the five biggest e-commerce services in Indonesia, Shopee is the most visited website by Indonesian citizens. The objectives of this study are to evaluate the effectiveness (E1) and efficiency (E2) of the website, and their correlation with website satisfaction rate based on usability variables. The synchronous remote testing technique was applied to 15 respondents to determine E1 and E2 levels. A usability rate perception was measured using a questionnaire to evaluate users' satisfaction (S), based on six usability variables (var 1-6). In this study, based on 18 tasks performed by 15 respondents, the effectiveness and efficiency rate of the website respectively 81%-98% and 73%-94%. The questionnaire result showed that the user satisfaction level of 313 respondents is 80%-84%. The Pearson correlation between E1, E2 with S respectively 0.619 and 0.814 (p-value<0.05). It concludes that Shopee is excellent e-commerce based on its effectiveness and efficiency, and user satisfaction (S) is mainly affected by its efficiency (E2). © 2021 IEEE.
E-commerce; Remote testing; Usability testing; User satisfaction; Correlation methods; Efficiency; Electronic commerce; Surveys; Testing; Usability engineering; E-commerce services; E-commerce websites; Effectiveness and efficiencies; Indonesia; Online shopping; Remote usability; Testing/Evaluation; Users' satisfactions; Websites
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Experimental Studies
Language:
English
Journal:
2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021
Year:
2021
Document Type:
Article
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