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Clustering and predicting electronic commerce security concerns of developing countries

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dc.title Clustering and predicting electronic commerce security concerns of developing countries en
dc.contributor.author Nabareseh, Stephen
dc.contributor.author Afful-Dadzie, Eric
dc.contributor.author Kwarteng, Michael Adu
dc.contributor.author Klímek, Petr
dc.contributor.author Pilík, Michal
dc.relation.ispartof Proceedings of the 3rd International Conference on Finance and Economics 2016
dc.identifier.isbn 978-80-7454-599-3
dc.date.issued 2016
dc.citation.spage 355
dc.citation.epage 367
dc.event.title 3rd International Conference on Finance and Economics (ICFE)
dc.event.location Ho Chi Minh City
utb.event.state-en Vietnam
utb.event.state-cs Vietnam
dc.event.sdate 2016-06-15
dc.event.edate 2016-06-17
dc.type conferenceObject
dc.language.iso en
dc.publisher Tomas Bata University in Zlín
dc.relation.uri https://digilib.k.utb.cz/handle/10563/43684
dc.relation.uri https://digilib.k.utb.cz/bitstream/handle/10563/43684/Proceedings%20ICFE%202016_final.pdf#page=374
dc.subject electronic commerce en
dc.subject cluster analysis en
dc.subject k-means en
dc.subject e-commerce security en
dc.subject data mining en
dc.subject West Africa en
dc.subject decision trees en
dc.description.abstract 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. en
utb.faculty Faculty of Management and Economics
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1008939
utb.identifier.rivid RIV/70883521:28120/16:43874431!RIV17-MSM-28120___
utb.identifier.obdid 43875056
utb.identifier.wok 000471168600029
utb.source d-wok
dc.date.accessioned 2019-08-16T09:30:10Z
dc.date.available 2019-08-16T09:30:10Z
dc.description.sponsorship Internal Grant Agency of Tomas Bata University in Zlin [IGA/FaME/2016/019, IGA/FaME/2015/023, IGA/FaME/2016/006]
utb.contributor.internalauthor Nabareseh, Stephen
utb.contributor.internalauthor Afful-Dadzie, Eric
utb.contributor.internalauthor Kwarteng, Michael Adu
utb.contributor.internalauthor Klímek, Petr
utb.contributor.internalauthor Pilík, Michal
utb.fulltext.affiliation Nabareseh Stephen, Afful-Dadzie Eric, Kwarteng Michael A., Klímek Petr, Pilík Michal Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic Mostni 5139, 760 01 Zlin, Czech Republic Email: nabareseh@fame.utb.cz Faculty of Applied Informatics, Tomas Bata University in Zlín, Czech Republic Nam. T. G. Masaryka 5555, 760 01 Zlin, Czech Republic Email: afful@fai.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic Mostni 5139, 760 01 Zlin, Czech Republic Email: kwarteng@fame.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic Mostni 5139, 760 01 Zlin, Czech Republic Email: klimek@fame.utb.cz Faculty of Management and Economics, Tomas Bata University in Zlín, Czech Republic Mostni 5139, 760 01 Zlin, Czech Republic Email: pilik@fame.utb.cz
utb.fulltext.dates -
utb.fulltext.sponsorship This work was supported by the Internal Grant Agency of Tomas Bata University in Zlin IGA/FaME/2016/019, IGA/FaME/2015/023 and IGA/FaME/2016/006.
utb.wos.affiliation [Nabareseh, Stephen] Tomas Bata Univ Zlin, Fac Econ & Management, Mostni 5139, Zlin 76001, Czech Republic; [Afful-Dadzie, Eric] Tomas Bata Univ Zlin, Fac Appl Informat, Nam TG Masaryka 5555, Zlin 76001, Czech Republic; [Kwarteng, Michael A.; Klimek, Petr; Pilik, Michal] Tomas Bata Univ Zlin, Fac Management & Econ, Mostni 5139, Zlin 76001, Czech Republic
utb.fulltext.projects IGA/FaME/2016/019
utb.fulltext.projects IGA/FaME/2015/023
utb.fulltext.projects IGA/FaME/2016/006.
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Applied Informatics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.faculty Faculty of Management and Economics
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