2022
DOI: 10.4018/jgim.306271
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Platformance-Based Cross-Border Import Retail E-Commerce Service Quality Evaluation Using an Artificial Neural Network Analysis

Abstract: The transaction scale of cross-border import e-commerce has grown rapidly around the world. Platform-style cross-border e-commerce does not control the quality, source and transaction process of goods strictly and comprehensively. In terms of customer service quality, the seller's customer service often ignores the customer's problems, and some customer service solutions cannot solve the customer's problems. Serving customers through the network has changed the traditional offline service form without distance… Show more

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Cited by 58 publications
(39 citation statements)
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“…Such a business consensus yields more effective results in comparison to a computing consensus, though it is contingent upon a high-credit setting. The perfect balance between efficiency and security should be considered in the application (Berdik et al, 2021;Feng & Chen, 2022;Chen & Du, 2022).…”
Section: Blockchain Technologymentioning
confidence: 99%
“…Such a business consensus yields more effective results in comparison to a computing consensus, though it is contingent upon a high-credit setting. The perfect balance between efficiency and security should be considered in the application (Berdik et al, 2021;Feng & Chen, 2022;Chen & Du, 2022).…”
Section: Blockchain Technologymentioning
confidence: 99%
“…CNN is inspired by the human visual structure and can be supervised and unsupervised learning. The sharing of convolutional kernel parameters in the hidden layer and the sparsity of interlayer connections enable CNN to pair the grid-like topology characteristics with a small amount of calculation (Feng & Chen, 2022;Pires de Lima & Marfurt, 2019). The representation learning ability of CNN allows it to learn the effective internal representation of data and optimize the model structure and parameters (Ye & Chen, 2021).…”
Section: Convolutional Neural Networkmentioning
confidence: 99%
“…It indicates that the field of consumer behaviour in CBEC is still in its infancy with specific theories to be developed because one of the frequently cited reasons for preferring PLS‐SEM over CB‐SEM was the advantages of PLS‐SEM in exploratory research for theory development. Additionally, tools developed by computer scientists were employed to analyse survey data to rank the factors of consumer decision‐making, such as Artificial Neural Network (ANN) analysis (Lu et al, 2022) and Decision Making Trial and Evaluation Laboratory (DEMATEL) methods (Feng & Chen, 2022; Jiang et al, 2022).…”
Section: Descriptive Analysismentioning
confidence: 99%