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

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 t...

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Main Authors: Abdul Bashiru Jibril, Michael Adu Kwarteng, Christina Appiah-Nimo, Michal Pilik
Format: Article
Language:English
Published: Institute of Economic Research 2019-12-01
Series:Oeconomia Copernicana
Subjects:
Online Access:http://economic-research.pl/Journals/index.php/oc/article/view/1737
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spelling doaj-2ff7cda9d60d482c8b7ff068c4acd92a2020-11-25T02:17:07ZengInstitute of Economic ResearchOeconomia Copernicana2083-12772353-18272019-12-0110466968810.24136/oc.2019.0321737Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods marketAbdul Bashiru Jibril0Michael Adu Kwarteng1Christina Appiah-Nimo2Michal Pilik3Tomas Bata University in ZlinTomas Bata University in ZlinTomas Bata University in ZlinTomas Bata University in ZlinResearch 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.http://economic-research.pl/Journals/index.php/oc/article/view/1737risksecond-hand goodsassociation ruleonline transactionsczech republic
collection DOAJ
language English
format Article
sources DOAJ
author Abdul Bashiru Jibril
Michael Adu Kwarteng
Christina Appiah-Nimo
Michal Pilik
spellingShingle Abdul Bashiru Jibril
Michael Adu Kwarteng
Christina Appiah-Nimo
Michal Pilik
Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
Oeconomia Copernicana
risk
second-hand goods
association rule
online transactions
czech republic
author_facet Abdul Bashiru Jibril
Michael Adu Kwarteng
Christina Appiah-Nimo
Michal Pilik
author_sort Abdul Bashiru Jibril
title Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
title_short Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
title_full Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
title_fullStr Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
title_full_unstemmed Association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
title_sort association rule mining approach: evaluating pre-purchase risk intentions in the online second-hand goods market
publisher Institute of Economic Research
series Oeconomia Copernicana
issn 2083-1277
2353-1827
publishDate 2019-12-01
description 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.
topic risk
second-hand goods
association rule
online transactions
czech republic
url http://economic-research.pl/Journals/index.php/oc/article/view/1737
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AT christinaappiahnimo associationruleminingapproachevaluatingprepurchaseriskintentionsintheonlinesecondhandgoodsmarket
AT michalpilik associationruleminingapproachevaluatingprepurchaseriskintentionsintheonlinesecondhandgoodsmarket
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