| Literature DB >> 35814066 |
Xiuyuan Gong1, Xiaofeng Zheng2, Qinqin Li3.
Abstract
Online financial service is an essential part of consumption services provided by companies in modern society. It is vital to figure out the underlying mechanisms that influence online financial service use of college students in China, which is seldom explored. Drawing on the theory of planned behavior (TPB), this study explores the effect of personality traits (i.e., materialism) and its joint effect with attitude on online financial service use of college students. Moreover, we examined the interaction effects of key variables in TPB in the context of online financial services. The results indicated that the materialism value of Chinese college students has no direct effect on their intention to use online financial services but exerts an indirect effect through their attitude toward online financial services. College students' attitudes and perceived behavioral control are associated with their subjective norms, and in turn, affect their use intention of online financial services. In addition, perceived risk and perceived usefulness of online financial services also affect use intention through attitude and perceived behavioral control. The discussion of key findings, implications, and conclusions are provided.Entities:
Keywords: China; attitude; college student; information technology; materialism; online financial service
Year: 2022 PMID: 35814066 PMCID: PMC9267947 DOI: 10.3389/fpsyg.2022.847335
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
Figure 1The research model.
Demographics of respondents.
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| Gender | Female | 196 | 63.2 | 1.37 | 0.483 |
| Male | 114 | 36.8 | |||
| Age | <18 years | 5 | 1.6 | 2.02 | 0.233 |
| 18–25 years | 293 | 94.5 | |||
| >25 years | 12 | 3.9 | |||
| Grade | Freshman | 66 | 21.3 | 2.35 | 1.175 |
| Sophomore | 146 | 47.1 | |||
| Junior | 54 | 17.4 | |||
| Senior | 10 | 3.2 | |||
| Graduate student | 34 | 11 | |||
| Monthly budget (yuan) | <1,500 | 92 | 29.7 | 1.84 | 0.660 |
| 1,500–2,000 | 182 | 58.7 | |||
| 2,000–4,000 | 31 | 10 | |||
| > 4,000 | 5 | 1.6 | |||
| Pocket money | More than I need | 69 | 22.2 | 1.99 | 0.658 |
| Enough | 176 | 56.8 | |||
| Less than I need | 65 | 21 | |||
| Pre-consumption experience | Yes, I had | 214 | 69 | 1.31 | 0.463 |
| No, I hadn't | 96 | 31 |
Results of confirmatory factor analysis.
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| Attitude (ATT) | ATT1 | 0.95 | 0.89 | 0.95 | 0.90 |
| ATT2 | 0.95 | ||||
| Subjective norm (SN) | SN1 | 0.92 | 0.84 | 0.93 | 0.86 |
| SN2 | 0.94 | ||||
| Perceived behavioral control (PBC) | PBC1 | 0.90 | 0.79 | 0.90 | 0.82 |
| PBC2 | 0.92 | ||||
| Perceived risk (PR) | PR1 | 0.86 | 0.89 | 0.92 | 0.75 |
| PR2 | 0.90 | ||||
| PR3 | 0.77 | ||||
| PR4 | 0.91 | ||||
| Perceived usefulness (PU) | PU1 | 0.89 | 0.92 | 0.94 | 0.81 |
| PU2 | 0.91 | ||||
| PU3 | 0.90 | ||||
| PU4 | 0.90 | ||||
| Materialism (MAT) | MAT1 | 0.81 | 0.84 | 0.90 | 0.68 |
| MAT2 | 0.85 | ||||
| MAT3 | 0.86 | ||||
| MAT4 | 0.79 | ||||
| Intention to use online financial service (InOFS) | InOFS1 | 0.95 | 0.89 | 0.95 | 0.90 |
| InOFS2 | 0.95 |
The correlations between constructs.
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| Perceived risk (PR) |
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| Perceived usefulness (PU) | 0.30 |
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| Attitude (ATT) | 0.01 | 0.60 |
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| Subjective norm (SN) | 0.05 | 0.52 | 0.68 |
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| Perceived behavioral control (PBC) | 0.21 | 0.49 | 0.57 | 0.45 |
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| Materialism (MAT) | 0.22 | 0.47 | 0.60 | 0.50 | 0.43 |
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| Intention to use online financial service (InOFS) | 0.05 | 0.59 | 0.64 | 0.58 | 0.47 | 0.44 |
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The diagonal elements (bold values) represent the square roots of average variance extracted (AVE) for each construct.
Figure 2The structural model with hypothesis testing. ***p < 0.001, *p < 0.05.
Mediation analyses.
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| Materialism → Attitude → Intention to use online financial service | 0.55 | 0.57 | 0.78 | 0.11 | 0.45 | 0.34 | 0.55 | Full mediation |
| Perceived usefulness → Attitude → Intention to use online financial service | 0.67 | 0.51 | 0.60 | 0.36 | 0.31 | 0.23 | 0.39 | Partial mediation |
| Subjective norm → Attitude → Intention to use online financial service | 0.74 | 0.65 | 0.62 | 0.33 | 0.41 | 0.30 | 0.52 | Partial mediation |
| Perceived usefulness → Perceived behavioral control → Intention to use online financial service | 0.67 | 0.45 | 0.30 | 0.54 | 0.13 | 0.07 | 0.19 | Partial mediation |
| Subjective norm → perceived behavioral control → Intention to use online financial service | 0.74 | 0.45 | 0.33 | 0.59 | 0.15 | 0.08 | 0.21 | Partial mediation |
1,000 bootstrap samples with 95% confidence level.
p < 0.001.
Path c = relationship between IV and DV; Path a = relationship between IV and mediator; Path b = relationship between mediator and DV, controlling for IV; Path c' = direct effect of IV on DV, controlling for mediator.
indicates the indirect effect is significant.