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Electronic Commerce Research

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01.12.2015

A practical model to predict the repeat purchasing pattern of consumers in the C2C e-commerce

verfasst von: Ye Tian, Zuoliang Ye, Yufei Yan, Miao Sun

Erschienen in: Electronic Commerce Research | Ausgabe 4/2015

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Abstract

In the recent decade, the C2C e-commerce has developed very fast and played a key role in the internet transaction. However, no work has been reported about predicting the consumers’ repeat purchasing pattern in the area so far. To fill the gap, this paper develops a novel predicting model according to some special characteristics of the C2C e-commerce. This model only uses the information about frequencies and timings of transactions. Thus, it is simple and convenient to be implemented. To verify the validity of the model, we test some samples from the real transaction data. The numerical results show that the new model outperforms the benchmark Pareto/NBD model. Thus, it is indeed an easy but powerful tool for the vendors on the C2C platform to predict the repeat purchasing pattern of consumers in the C2C e-commerce.

Vorheriger Artikel A novel approach to exploring maximum consensus graphs from users’ preference data in a new age environment

Nächster Artikel The interplay between value and service quality experience: e-loyalty development process through the eTailQ scale and value perception

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Titel: A practical model to predict the repeat purchasing pattern of consumers in the C2C e-commerce
verfasst von: Ye Tian
Zuoliang Ye
Yufei Yan
Miao Sun
Publikationsdatum: 01.12.2015
Verlag: Springer US
Erschienen in: Electronic Commerce Research / Ausgabe 4/2015
Print ISSN: 1389-5753
Elektronische ISSN: 1572-9362
DOI: https://doi.org/10.1007/s10660-015-9201-8

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