scholarly journals Effect of Online Shopping Credit Evaluation on Customer Purchase Risk: Logistics Service as a Mediator

2021 ◽  
Vol 7 (1) ◽  
pp. 16
Author(s):  
Ching Kuei Kao ◽  
Zhao Ni Chen ◽  
Peng Jung Lin
Keyword(s):  
Online Shopping ◽  
Credit Evaluation ◽  
Logistics Service

Influence Factors of Online Shopping Food Quality Performance Considering the Relationship Quality

2019 ◽  
Vol 17 (2) ◽  
pp. 69-78 ◽  
Author(s):  
Xiaoping Li ◽  
Lijuan Xie ◽  
Lan Xu
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Information Sharing ◽  
Relationship Quality ◽  
Online Shopping ◽  
Quality Performance ◽  
Logistics Service ◽  
Supplier Quality Management ◽  
Logistics Service Quality ◽  
The Relationship

Most of the existing research relating to online shopping are focused on the analysis of customers' purchase intention and loyalty, but lack influencing factors on the quality performance of online shopping food. This article introduces the relationship quality, and constructs a model of relationship quality, logistics service quality, information sharing, supplier quality management and quality performance. This is done through an empirical study, taking 145 online food businesses as an example. At the same time, the relationship quality not only has an effect on the quality performance through information sharing, logistics service quality and supplier quality management, but also has an indirect effect on quality performance through information sharing and logistics service quality or information sharing and supplier quality management.

Logistics Service Quality of Online Shopping Websites During Covid-19 Pandemic

2021 ◽  
pp. 725-734
Author(s):  
İlayda Gezer ◽  
Hasancan Erduran ◽  
Alper Kayıhan ◽  
Burak Çetiner ◽  
Pervin Ersoy
Keyword(s):  
Service Quality ◽  
Online Shopping ◽  
Logistics Service ◽  
Logistics Service Quality

Influence Factors of Online Shopping Food Quality Performance Considering the Relationship Quality

2021 ◽  
pp. 1157-1168
Author(s):  
Xiaoping Li ◽  
Lijuan Xie ◽  
Lan Xu
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Information Sharing ◽  
Relationship Quality ◽  
Online Shopping ◽  
Quality Performance ◽  
Logistics Service ◽  
Supplier Quality Management ◽  
Logistics Service Quality ◽  
The Relationship

Most of the existing research relating to online shopping are focused on the analysis of customers' purchase intention and loyalty, but lack influencing factors on the quality performance of online shopping food. This article introduces the relationship quality, and constructs a model of relationship quality, logistics service quality, information sharing, supplier quality management and quality performance. This is done through an empirical study, taking 145 online food businesses as an example. At the same time, the relationship quality not only has an effect on the quality performance through information sharing, logistics service quality and supplier quality management, but also has an indirect effect on quality performance through information sharing and logistics service quality or information sharing and supplier quality management.

Analysis of customers' return behaviour after online shopping in China using SEM

2020 ◽  
Vol 120 (5) ◽  
pp. 883-902
Author(s):  
Danping Lin ◽  
Carman Ka Man Lee ◽  
M.K. Siu ◽  
Henry Lau ◽  
King Lun Choy
Keyword(s):  
Direct Effect ◽  
Latent Variables ◽  
Structural Equation ◽  
Online Shopping ◽  
Theoretical Understanding ◽  
Content Type ◽  
Logistics Service ◽  
Product Return ◽  
Customer Behaviour ◽  
New Perspective

PurposeThe purpose of this paper is to examine the potential impacts of various variables on product return activities after online shopping. Previous studies on customer behaviour have been predominantly concerned with return on used products and other product-quality-related constructs in the model. This study aims to specially examine the logistics service-related and customer intention–related variables for general products under the e-commerce circumstance.Design/methodology/approachStructured questionnaire data for this study were collected in the two southeast cities of China (162 useable responses). Structural equation modelling was used to examine the latent variables.FindingsThe results confirmed that product return intention has the greatest impact on online shopping returns with a direct effect of 0.63, followed by the flexibility in return (logistics service) with a direct effect of 0.49.Originality/valueSuch a model not only enriches the theoretical understanding of customer behaviour studies but also offers online shopping stores and platforms a quantitative benchmark and new perspective on the design of online shopping supply chains by considering product returns so as to improve the customer satisfaction.

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