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Electronic Commerce Research
Erschienen in: Electronic Commerce Research 2/2014

01.06.2014

The moderating role of income on consumers’ preferences and usage for online and offline payment methods

verfasst von: Eric W. K. See-To, Savvas Papagiannidis, J. Christopher Westland

Erschienen in: Electronic Commerce Research | Ausgabe 2/2014

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Abstract

In this paper we examine consumer attitudes towards a payment method, which is a key factor affecting the probability of completing a transaction offline and online. More specifically, we constructed a model that surveyed the offline and online usage of prepaid e-cash, debit cards, credit cards and cash. User perceptions of the attractiveness of e-cash and various traditional payment means were also empirically assessed. Consumer attitudes towards a payment technology were found to be influential on users’ perceptions in both online and offline environments. User perceptions of offline purchases with a payment technology had significant and positive effects on the corresponding online usage perceptions. The effects of our research model are contingent on the income level of users. Our findings have significant implications, as they could help shed light on why consumers abandon their shopping carts and do not complete their transactions, which could potentially play a significant role when it comes to designing applications targeting sspecific consumer segments.
Vorheriger Artikel A model to evaluate the effects of price fairness perception in online hotel booking

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Fußnoten
1
The \(\chi ^{2}\) statistic is the traditional fit measure for evaluating the hypothesis \(\hbox {H}_{0}:\Sigma =\Sigma (\uptheta )\) where \(\Sigma \) is the population covariance structure and \(\Sigma (\uptheta )\) is the covariance structure approximated by the model. We would like to accept this hypothesis, so small values of the \(\chi ^{2}\) statistic are preferred. One idiosyncrasy of this statistic is that it tends to be sensitive to, and to increase with, departures from multivariate normality (particularly excessive kurtosis). The fact that our data were ordinals from 1 to 7 implies a skewness which will tend to increase the value of this particular statistic, even with optimal fit.
 
2
RMSEA provides an indication of the size of error of approximation of \(\Sigma \), the population covariance structure, by \(\Sigma (\uptheta )\), that of the model, but per degree of freedom, thus taking model complexity into account. Ideally this would be zero, and larger values indicate an inappropriate model; values less than 0.05 reflect a good fit; between 0.05 and 0.08 a mediocre fit; and those above 0.08 reflect a poor fit. Again, skewed distributions will tend to raise this value.
 
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Metadaten
Titel
The moderating role of income on consumers’ preferences and usage for online and offline payment methods
verfasst von
Eric W. K. See-To
Savvas Papagiannidis
J. Christopher Westland
Publikationsdatum
01.06.2014
Verlag
Springer US
Erschienen in
Electronic Commerce Research / Ausgabe 2/2014
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI
https://doi.org/10.1007/s10660-014-9138-3