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dc.title | Assessing pre-purchase risk attributes towards used-products: Evidence from E-shoppers in the Czech Republic | en |
dc.contributor.author | Kwarteng, Michael Adu | |
dc.contributor.author | Jibril, Abdul Bashiru | |
dc.contributor.author | Botchway, Raphael Kwaku | |
dc.contributor.author | Owusu, Victor Kwarteng | |
dc.contributor.author | Pilík, Michal | |
dc.contributor.author | Chovancová, Miloslava | |
dc.relation.ispartof | ACM International Conference Proceeding Series | |
dc.identifier.isbn | 978-1-4503-7232-9 | |
dc.date.issued | 2019 | |
dc.citation.spage | 15 | |
dc.citation.epage | 20 | |
dc.event.title | 3rd International Conference on Business and Information Management, ICBIM 2019 | |
dc.event.location | Paris | |
utb.event.state-en | France | |
utb.event.state-cs | Francie | |
dc.event.sdate | 2019-09-12 | |
dc.event.edate | 2019-09-14 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Association for Computing Machinery | |
dc.identifier.doi | 10.1145/3361785.3361815 | |
dc.relation.uri | https://dl.acm.org/doi/10.1145/3361785.3361815 | |
dc.subject | Czech Republic | en |
dc.subject | non-hierarchical clustering (k-means) | en |
dc.subject | risk | en |
dc.subject | used product | en |
dc.description.abstract | Recent years have witnessed a marked increase in research focusing on risk in online transactions. Partly, these research efforts have been situated within the context of risk in online transactions in general with scant evidence considering the risk in the online used goods market in the Czech Republic. Less is also known about the level of risk associated with the customer to embark on online transactions of second-hand goods. Against this background, this paper is aimed at eliciting the magnitude of risky components aligned with the tendency to connect via online in search of second-hand goods. To achieve this, the research proposes a Non-Hierarchical (K-means) algorithm to glean relevant patterns in the data accrued from the Czech Republic. Hence, a simple random technique geared towards demographic variables was adopted to gather data; with 329 out of 411 respondents eligible for our analysis. Consequently, the research revealed through the K- means clustering algorithm that, consumers or respondents in these regions, namely, Pardubicky, Vysocina, and Kralovehradecky regions in the Czech Republic are more circumspect concerning the zeal to connect via online specifically second-hand goods. The findings from this shed light on a significantly ignored research area for researchers and provide a managerial strategy for online used goods vendors. © 2019 Association for Computing Machinery. | en |
utb.faculty | Faculty of Management and Economics | |
dc.identifier.uri | http://hdl.handle.net/10563/1009539 | |
utb.identifier.obdid | 43880867 | |
utb.identifier.scopus | 2-s2.0-85077513252 | |
utb.source | d-scopus | |
dc.date.accessioned | 2020-01-24T13:28:14Z | |
dc.date.available | 2020-01-24T13:28:14Z | |
utb.contributor.internalauthor | Kwarteng, Michael Adu | |
utb.contributor.internalauthor | Jibril, Abdul Bashiru | |
utb.contributor.internalauthor | Botchway, Raphael Kwaku | |
utb.contributor.internalauthor | Owusu, Victor Kwarteng | |
utb.contributor.internalauthor | Pilík, Michal | |
utb.contributor.internalauthor | Chovancová, Miloslava | |
utb.fulltext.affiliation | Michael Adu Kwarteng, Abdul Bashiru Jibril, Raphael Kwaku Botchway, Owusu Victor Kwarteng, Michal Pilik, Miloslava Chovancova Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected] Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected] Tomas Bata University in Zlin, Faculty of Applied Informatics, Nam T.G. Masaryka 5555, 760 01 Zlín, Czech Republic [email protected] Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected] Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected] Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555, 760 01 Zlin, Czech Republic [email protected] | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | This work was supported by Internal Grant Agency of the Czech Republic– through TBU in Zlín No. IGA/FaME/2019/008, further by the financial support of research project NPU I no. MSMT-7778/2018 RVO - Digital Transformation and its Impact on Customer Behaviour and Business Processes in Traditional and Online markets. | |
utb.scopus.affiliation | Tomas Bata University in Zlin, Faculty of Management and Economics, Nam T.G. Masaryka 5555760 01, Czech Republic | |
utb.fulltext.projects | IGA/FaME/2019/008 | |
utb.fulltext.projects | MSMT-7778/2018 | |
utb.fulltext.faculty | Faculty of Management and Economics | |
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 | |
utb.identifier.jel | - |