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Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market

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dc.title Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market en
dc.contributor.author Jibril, Abdul Bashiru
dc.contributor.author Kwarteng, Michael Adu
dc.contributor.author Appiah-Nimo, Christina
dc.contributor.author Pilík, Michal
dc.relation.ispartof Oeconomia Copernicana
dc.identifier.issn 2083-1277 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2019
utb.relation.volume 10
utb.relation.issue 4
dc.citation.spage 669
dc.citation.epage 688
dc.type article
dc.language.iso en
dc.publisher Nicolaus Copernicus Univ Torun
dc.identifier.doi 10.24136/oc.2019.032
dc.relation.uri http://economic-research.pl/Journals/index.php/oc/article/view/1737
dc.subject risk en
dc.subject second-hand goods en
dc.subject association rule en
dc.subject online transactions en
dc.subject Czech Republic en
dc.description.abstract Research background: A considerable amount of research has been conducted on the riskiness associated with online transactions in general. However, few studies have paid particular attention to the risk of online second-hand goods transactions. We, therefore, argue in this paper that, while online transactions pose several risks to consumers, the addition of second-hand goods intensifies the risks to the user. As the risk factors brought about by the online second-hand goods transactions persist, the magnitude of such risk inherent in the customer in question has not clearly emerged. Purpose of the article: This paper aims at eliciting the magnitude of risky components aligned with the tendency to connect online in search of second-hand goods. Again, providing insight into demographic variables in relation to the pre-purchasing risk factors; averting customers to connect online in search of second-hand goods stands as one of the key reasons for the present study. Methods: The research adopts a data mining algorithm, notably the Association rule mining to glean relevant patterns in the data accrued from the Czech Republic, premised on risk components governing the online buying behaviour of second-hand goods. To this end, a simple random technique was adopted to gauge the views of e-shoppers in the Czech Republic on online second-hand goods transactions; with 329 out of 411 respondents eligible for our analysis. Findings & Value added: The results of the association rule technique have revealed that respondents within the gender frame are both adamant to hook-up online, in spite of the fact that they have shopped online, yet do not think of looking at second-hand goods sites because of some risky influence inherent in them, even if the respondent is an ordinary personal-user of online transactions. In all these developments, the research concludes that the second-hand industry needs to redesign the websites with much attention to reinforce stringent measures that will give better assurance of the risk factors, which will tend to avert the customer from connecting via the Internet in pursuit of second-hand goods. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1009612
utb.identifier.obdid 43880772
utb.identifier.scopus 2-s2.0-85082657340
utb.identifier.wok 000515826300005
utb.source J-wok
dc.date.accessioned 2020-03-26T10:44:53Z
dc.date.available 2020-03-26T10:44:53Z
dc.description.sponsorship Internal Grant Agency of FaME through TBU in Zlin [IGA/FaME/2019/008]; research project NPU I [MSMT-7778/2018]
dc.rights Attribution 4.0 International
dc.rights.uri http://creativecommons.org/licenses/by/4.0/
dc.rights.access openAccess
utb.contributor.internalauthor Jibril, Abdul Bashiru
utb.contributor.internalauthor Kwarteng, Michael Adu
utb.contributor.internalauthor Appiah-Nimo, Christina
utb.contributor.internalauthor Pilík, Michal
utb.fulltext.affiliation Abdul Bashiru Jibril, Michael Adu Kwarteng, Christina Appiah-Nimo, Michal Pilik Tomas Bata University in Zlin http://orcid.org/0000-0003-4554-0150 Tomas Bata University in Zlin http://orcid.org/0000-0002-6787-0401 Tomas Bata University in Zlin http://orcid.org/0000-0001-5597-3553 Tomas Bata University in Zlinhttp://orcid.org/0000-0002-7032-38122
utb.fulltext.dates Published 2019-12-29
utb.wos.affiliation [Jibril, Abdul Bashiru; Kwarteng, Michael Adu; Appiah-Nimo, Christina; Pilik, Michal] Tomas Bata Univ Zlin, Zlin, Czech Republic
utb.scopus.affiliation Tomas Bata University, Zlin, Czech Republic
utb.identifier.jel M3
utb.identifier.jel M13
utb.identifier.jel M31
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Attribution 4.0 International Except where otherwise noted, this item's license is described as Attribution 4.0 International