Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)

A Theoretical Study on the Rational Behavior of Users’ Credit Compliance Willingness

Authors
Dongmei Xia, Yougui Zhao
Corresponding Author
Dongmei Xia
Available Online 24 December 2019.
DOI
10.2991/acsr.k.191223.018How to use a DOI?
Keywords
credit, TTF model, TAM model, psychological contract
Abstract

In the field of credit research, there are relatively few studies that build a model from the perspective of TTF model and TAM model integration. The research will combine TTF and TAM to build a structural model with credit user type as the regulating variable. The research is carried out with task-technology fit, social influence, ease of use, usefulness, psychological contract, willingness to perform the contract, credit user type and other variables, which is innovative in the construction of the model.

Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
Series
Advances in Computer Science Research
Publication Date
24 December 2019
ISBN
10.2991/acsr.k.191223.018
ISSN
2352-538X
DOI
10.2991/acsr.k.191223.018How to use a DOI?
Copyright
© 2019, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Dongmei Xia
AU  - Yougui Zhao
PY  - 2019
DA  - 2019/12/24
TI  - A Theoretical Study on the Rational Behavior of Users’ Credit Compliance Willingness
BT  - Proceedings of the 2019 International Conference on Big Data, Electronics and Communication Engineering (BDECE 2019)
PB  - Atlantis Press
SP  - 79
EP  - 82
SN  - 2352-538X
UR  - https://doi.org/10.2991/acsr.k.191223.018
DO  - 10.2991/acsr.k.191223.018
ID  - Xia2019
ER  -