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• W2898542381 abstract "Summary Customer‐to‐customer (C2C) interaction is a basic characteristic of social commerce, which is potentially to generate substantial economic benefits. The C2C interaction quality is employed to describe the impact on consumers' purchasing intention. This paper presents a Kano method–based C2C interaction model to study different factors involved with the communication process. Further, with the analysis of consumers' communication factors, a support vector machine classification system is established and learns to identify the quality of C2C interaction. Our results prove that the proposed methodology is feasible for C2C interaction quality distinguishing and highlights the importance of basic communication properties for supporting the purchase decisions." @default.
• W2898542381 created "2018-11-02" @default.
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• W2898542381 creator A5044697407 @default.
• W2898542381 date "2018-10-25" @default.
• W2898542381 modified "2023-10-16" @default.
• W2898542381 title "C2C interaction quality identification with SVM based on Kano model" @default.
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• W2898542381 doi "https://doi.org/10.1002/cpe.4689" @default.
• W2898542381 hasPublicationYear "2018" @default.
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