2005
DOI: 10.1108/03090560510572061
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Customer intention to return online: price perception, attribute‐level performance, and satisfaction unfolding over time

Abstract: Purpose -Compared with the emphasis that service quality research has received in online marketing, much less work has been done on the role of price perception, service attribute-level performance and satisfaction that unfolds over time, and their effects on customer retention. This paper seeks to fill this gap in the literature. Design/methodology/approach -This paper builds propositions about the role of price and customer satisfaction at different stages on customers' intention to return. Research hypothes… Show more

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Cited by 335 publications
(236 citation statements)
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References 80 publications
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“…Berdasarkan penelitian yang dilakukan oleh Jiang dan Rosenbloom [22], harga, kepuasan pelanggan saat berbelanja online serta kepuasan pelanggan setelah melakukan pembelian menjadi indikator dimana suatu situs toko online dapat mempertahankan pelanggannya dengan cara meningkatkan minat berbelanja kembali kepada situs tersebut. Menurut Jia, Shen [21], faktor kepercayaan juga berpengaruh terhadap intensi seseorang untuk berbelanja kembali pada suatu toko online.…”
Section: Pendahuluanunclassified
“…Berdasarkan penelitian yang dilakukan oleh Jiang dan Rosenbloom [22], harga, kepuasan pelanggan saat berbelanja online serta kepuasan pelanggan setelah melakukan pembelian menjadi indikator dimana suatu situs toko online dapat mempertahankan pelanggannya dengan cara meningkatkan minat berbelanja kembali kepada situs tersebut. Menurut Jia, Shen [21], faktor kepercayaan juga berpengaruh terhadap intensi seseorang untuk berbelanja kembali pada suatu toko online.…”
Section: Pendahuluanunclassified
“…The interpretation of regression results exhibited in Table 4 indicates that TD has greater signifi cance along with the BC dimensions in achieving SUE ( Jiang and Rosenbloom, 2005 ).…”
Section: Regression Analysismentioning
confidence: 99%
“…And the marginal effect increases. Customer return rate is influenced by many factors such as the quality of product, the type of product, and sales channels (Jiang and Rosenbloom, 2005;Rao et al, 2014). In this example, we assume the higher customer return rate in Figure 2 is mainly influenced by the type of product or sales channels given the assumption that customer return rate doesn't influence the future customer demand of the product.…”
Section: Case 2: Closed-loop Supply Chain With Selling Retailer-remanmentioning
confidence: 99%