Clustering and predicting electronic commerce security concerns of developing countries

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F16%3A43874431" target="_blank" >RIV/70883521:28120/16:43874431 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Clustering and predicting electronic commerce security concerns of developing countries
Original language description
The increase in electronic commerce (e-commerce) activities especially in developed countries has been tremendous in recent years. The increase in developing countries has, however, been very slow. Researchers have attributed this to several obstacles, with security of transactions prominently featuring in the research outcomes. This paper leverages data mining techniques, specifically clustering (cluster analysis) and decision tree prediction to (1) discover clusters mostly associated with security of e-commerce in West Africa, (2) identify the most congruent variable as far as e-commerce transactions in West Africa is concerned, (3) detail the aspect of e-commerce security that is of major concern to users in the sub-region, and (4) present a predictive model for predicting customers with likely e-commerce payment/data security concerns.
Czech name
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Czech description
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Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 3rd International Conference on Finance and Economics
ISBN
978-80-7454-598-6
ISSN
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e-ISSN
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Number of pages
14
Pages from-to
353-365
Publisher name
Univerzita Tomáše Bati ve Zlíně
Place of publication
Zlín
Event location
Ton Duc Thang University, Vietnam
Event date
Jun 15, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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