2024
DOI: 10.1016/j.apgeog.2024.103289
|View full text |Cite
|
Sign up to set email alerts
|

Spatial and social heterogeneities of residents’ online shopping behaviors within a large Chinese city: The case of Weifang

Zongcai Wei,
Qijing Tang,
Feng Zhen
Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2025
2025

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 47 publications
0
1
0
Order By: Relevance
“…Specifically, the composite reliability (CR) of each latent variable, representing the internal consistency of construct indicators, ranged from 0.690 to 0.867 in the model, all exceeding 0.6 [91], indicating the high internal consistency of the construct indicators. The average variance extracted (AVE), representing the average amount of variance that latent variables explain in their measured variables, ranged from 0.367 to 0.793, all exceeding the threshold value of 0.36 [92], indicating the acceptable convergent validity of the model. Additionally, the p-values of the unstandardized parameters of the measurement model were all less than 0.001, which met the significance requirement.…”
Section: Modeling Proceduresmentioning
confidence: 99%
“…Specifically, the composite reliability (CR) of each latent variable, representing the internal consistency of construct indicators, ranged from 0.690 to 0.867 in the model, all exceeding 0.6 [91], indicating the high internal consistency of the construct indicators. The average variance extracted (AVE), representing the average amount of variance that latent variables explain in their measured variables, ranged from 0.367 to 0.793, all exceeding the threshold value of 0.36 [92], indicating the acceptable convergent validity of the model. Additionally, the p-values of the unstandardized parameters of the measurement model were all less than 0.001, which met the significance requirement.…”
Section: Modeling Proceduresmentioning
confidence: 99%