A Structural Model for Customer Perceived Value in E-banking Service
Long Kim et al.
What the paper says
The primary goal of this research was to investigate the evolution of customer perceived value in the e-banking service industry through understanding the impacts of service quality dimensions and perceived risk. This study used the convenience sampling technique to survey 700 bank customers in Cambodia. Furthermore, the study used the structural equation model to analyse the data. The results reveal that staff behaviour, physical evidence and IT transaction showed significant effects on perceived risk. Finally, only physical evidence and IT transaction were found to have significant effects on customer perceived value.
1 citation
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.16 × 0.4 = 0.06 |
| M · momentum | 0.53 × 0.15 = 0.08 |
| 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.