Online shopper-vendor interactions: Identifying interestingness relations using clustering and association rules mining
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63516525" target="_blank" >RIV/70883521:28120/17:63516525 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Online shopper-vendor interactions: Identifying interestingness relations using clustering and association rules mining
Original language description
Online shopping as a form of electronic commerce worldwide, has come to stay. While many studies have been authored on the motivation that drives the daily interactive transactions, the interplay between shoppers and vendors continues to increase in complexity, especially with the regular introduction of many advanced online services and features. Among the issues that have also increased the complexity are how different demographic profiles and geographic backgrounds impact online sales and customer retention. The interest in shopping online is motivated by a reduction in key barriers and the trust cultivated in an e-shop as compared to other alternatives. Against this background, this paper uses the a-priori Algorithm in Association rule mining to discover strong rules between variables of interest in a large dataset of e-shoppers in the Czech Republic. With a higher support and lift, the results reveal a high level of confidence between the reasons that propel the customer to start buying via the Internet, criteria for buying items on the Internet and the information gathered before the initiation of an online transaction. The paper further conducts a comparative analysis of shoppers' attitudes to foreign e-shops and local ones. In addition, the paper uses a clustering algorithm to segment demographic variables of respondents against the inclination of local Czech e-shoppers attitudes to foreign e-shops and their local shops. The results indicate that millennial Czech e-shoppers tend to patronize other foreign e-shops, especially female respondents, while adult e-shoppers are conservative when it comes to e-shopping. Finally, the paper proposes managerial recommendations for e-vendors in the Czech Republic on how best they can incorporate e-shoppers into their fold, given the notion that online shopping is here to stay. A total of 1,602 shoppers in the Czech Republic responded to the questionnaire, generating the data forthe analysis.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50200 - Economics and Business
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 12th International Conference on e- Learning
ISBN
978-1-911218-35-7
ISSN
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e-ISSN
neuvedeno
Number of pages
9
Pages from-to
129-137
Publisher name
Academic Conferences and Publishing International Limited
Place of publication
London
Event location
Orlando
Event date
Jun 1, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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