Assessing pre-purchase risk attributes towards used-products: Evidence from E-shoppers in the Czech Republic

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F19%3A63524002" target="_blank" >RIV/70883521:28120/19:63524002 - isvavai.cz</a>

Alternative codes found

RIV/70883521:28140/19:63524002

Result on the web

<a href="https://dl.acm.org/doi/10.1145/3361785.3361815" target="_blank" >https://dl.acm.org/doi/10.1145/3361785.3361815</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3361785.3361815" target="_blank" >10.1145/3361785.3361815</a>

Result language

angličtina

Original language name

Assessing pre-purchase risk attributes towards used-products: Evidence from E-shoppers in the Czech Republic

Original language description

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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

50204 - Business and management

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2019

Confidentiality

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

Article name in the collection

ACM International Conference Proceeding Series

ISBN

978-1-4503-7232-9

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

15-20

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Paříž

Event date

Sep 12, 2019

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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