Name
Abstract | ||
|---|---|---|
Purpose The purpose of this paper is to investigate the effects of trust in service and structural assurance on the continuance intention of FinTech services, and the roles of technical factors (i.e. situational normality and system quality) and social factors (i.e. herding and subjective norm) in developing trust in service and structural assurance. YuEbao is selected as the subject as it is a representative example of FinTech services in China. Design/methodology/approach A survey questionnaire was deployed and a ten-point sliding scale with two-decimal points was applied to improve the accuracy of the questionnaire. Partial least squares structural equation modeling was used to analyze the data. Findings Trust in service and structural assurance can encourage continuance intention of FinTech service. System quality, situational normality and subjective norm can boost the development of trust in service. Both herding and subjective norm can affect structural assurance significantly.Originality/value This study adds to the existing body of trust literature by investigating the direct effects of trust in service and structure assurance on continuance intention and how these two levels of trust are developed from technical and social aspects. It generates interesting insights into customers' continuance behavior of FinTech services. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1108/IMDS-01-2019-0011 | INDUSTRIAL MANAGEMENT & DATA SYSTEMS |
Keywords | Field | DocType |
Herding, Continuance intention, Trust, Subjective norm, FinTech, Structural assurance | Normality,Continuance,Structural equation modeling,Norm (social),Knowledge management,Service provider,Sliding scale,Herding,Situational ethics,Engineering,Marketing | Journal |
Volume | Issue | ISSN |
119 | 8 | 0263-5577 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhenning Wang | 1 | 0 | 0.34 |
| Zhengzhi (Gordon) Guan | 2 | 0 | 0.34 |
| Fangfang Hou | 3 | 7 | 1.10 |
| Boying Li | 4 | 36 | 9.80 |
| Wangyue Zhou | 5 | 2 | 0.70 |