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Cluster Computing
Erschienen in: Cluster Computing 6/2019

26.03.2018

Online customer service quality of online shopping: evidence from Dangdang.com

verfasst von: Zhengwei Huang, Yin Luo, Dong Wang

Erschienen in: Cluster Computing | Sonderheft 6/2019

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Abstract

Through the survey and six hypothesis, we conduct an empirical study to analyze how the six dimensions (including accessibility, reliability, ease-of-use/usefulness, interactivity, responsibility/efficiency, safety/privacy) influence the perceived online customer service quality. The questionnaire is divided into four parts: basic personal information, introduction of background knowledge, perceived online customer service quality, factors which influence perceived online customer service quality. Our methodology combines factor analysis and regression analysis to a novel dada set which comes from a real buyer of Dangdang.com. We find that the above six factors have significant positive influence to the perceived online customer service quality. We also find that the perceived online customer service quality will benefit from real-time online customer service.
Vorheriger Artikel Zone-based dual sub sink for network lifetime maximization in wireless sensor network
Nächster Artikel RETRACTED ARTICLE: Study on the design and application of the user information resources of track and field web course based on software programming method

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Metadaten
Titel
Online customer service quality of online shopping: evidence from Dangdang.com
verfasst von
Zhengwei Huang
Yin Luo
Dong Wang
Publikationsdatum
26.03.2018
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe Sonderheft 6/2019
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-018-2565-5

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