Consumer satisfaction modelling of online shopping smart home products based on SEM
Zhang Ji & Na Wang
What the paper says
To fully analyse the influencing factors of online sales of smart home products, this study conducted satisfaction modelling research on consumers' online shopping of smart home products based on Structural Equation Modelling (SEM) theory. The article first introduces multiple interaction effects and mediating mechanisms for analysis, completing the design of a consumer satisfaction structure model and measurement model for online shopping of smart home products, and then conducts empirical research based on this. The empirical results indicate that, except for hypothesis H5 (perceived ease of use → perceived pleasure), the absolute values of the path coefficients for all other hypotheses exceed 0.13, reaching a significant level. All variables have an impact on consumer satisfaction with online shopping of smart home products, among which website quality, perceived ease of use, perceived usefulness, perceived pleasure and online shopping attitude have a positive impact, while perceived risk has a negative impact.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.