Clustering and predicting electronic commerce security concerns of developing countries

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Clustering and predicting electronic commerce security concerns of developing countries

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Clustering and predicting electronic commerce security concerns of developing countries

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

AE - Řízení, správa a administrativa

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

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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Počet stran výsledku

14

Strana od-do

353-365

Název nakladatele

Univerzita Tomáše Bati ve Zlíně

Místo vydání

Zlín

Místo konání akce

Ton Duc Thang University, Vietnam

Datum konání akce

15. 6. 2016

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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