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dc.contributor.authorRamanathan, Ramakrishnanen_GB
dc.date.accessioned2013-07-03T08:05:04Z
dc.date.available2013-07-03T08:05:04Z
dc.date.issued2011
dc.identifier.citationRamanathan, R. (2011) 'An empirical analysis on the impact of risk on customer loyalty in electronic commerce', International Journal of Services and Operations Management, 9(2), pp.183-201en_GB
dc.identifier.issn1744-2370
dc.identifier.issn1744-2389
dc.identifier.doi10.1504/IJSOM.2011.040707
dc.identifier.urihttp://hdl.handle.net/10547/295102
dc.description.abstractIn this paper, we discuss a research study that explores the role of risk on the influence of various performance attributes on customer loyalty in the context of the electronic marketplace. We use data from online customer ratings of 532 e-commerce websites for the purpose. Seven attributes linked to various performance options available to managers of e-commerce websites are considered. Websites are grouped into risk and non-risk groups based on the nature of products sold. Empirical analysis is conducted using a combination of multivariate statistical techniques: multivariate analysis of variance (MANOVA), factor analysis and multiple regression. Our results show that online customer ratings differ significantly in terms of risk characteristics of the products sold for all the performance attributes, except for 'comparative prices'. Service-oriented attributes, pre-purchase attributes and post-purchase attributes are significant for both risk groups (risk and non-risk).
dc.language.isoenen
dc.publisherInderscience Publishersen_GB
dc.relation.urlhttp://www.inderscience.com/link.php?id=40707en_GB
dc.rightsArchived with thanks to International Journal of Services and Operations Managementen_GB
dc.subjectcustomer loyaltyen_GB
dc.subjectperformance attributesen_GB
dc.subjectelectronic commerceen_GB
dc.titleAn empirical analysis on the impact of risk on customer loyalty in electronic commerceen
dc.typeArticleen
dc.identifier.journalInternational Journal of Services and Operations Managementen_GB
html.description.abstractIn this paper, we discuss a research study that explores the role of risk on the influence of various performance attributes on customer loyalty in the context of the electronic marketplace. We use data from online customer ratings of 532 e-commerce websites for the purpose. Seven attributes linked to various performance options available to managers of e-commerce websites are considered. Websites are grouped into risk and non-risk groups based on the nature of products sold. Empirical analysis is conducted using a combination of multivariate statistical techniques: multivariate analysis of variance (MANOVA), factor analysis and multiple regression. Our results show that online customer ratings differ significantly in terms of risk characteristics of the products sold for all the performance attributes, except for 'comparative prices'. Service-oriented attributes, pre-purchase attributes and post-purchase attributes are significant for both risk groups (risk and non-risk).


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