The Influence of Readability of Financial App Privacy Policy on Enterprise Performance

From the perspective of the inhibition of privacy computing theory, taking user satisfaction as risk perception, this paper discusses how the readability of financial APP privacy policies inhibits user satisfaction, thus affecting enterprise performance. Firstly, this paper measures the readability of privacy policies by constructing a professional vocabulary and an improved Fog Index formula. Secondly, this paper collects 615 APP privacy policies and corresponding enterprise data and empirically analyzes the impact of the readability of financial APP privacy policies on enterprise performance. This paper enriches research in the field of financial technology and empirically finds that the readability of financial technology APP privacy policies has a negative impact on enterprise performance, while user satisfaction has a positive impact on enterprise performance. In practice, this paper provides a reference for financial technology enterprises to improve the readability of APP privacy policies to improve user satisfaction and enterprise performance.

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Publication Details

Journal
Journal of Database Management
Published
2024-12-04
DOI
https://doi.org/10.4018/jdm.361999
Citations
1
Primary Topic
Technology Adoption and User Behaviour
Type
article
Field-Weighted Citation Impact
1.05
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article

The Influence of Readability of Financial App Privacy Policy on Enterprise Performance

Huosong Xia, Changlong Xu, Zuopeng Zhang, Sajjad M. Jasimuddin et al.
1 citations
Journal of Database Management
Technology Adoption and User Behaviour
1.05
article

The Influence of Readability of Financial App Privacy Policy on Enterprise Performance

Huosong Xia, Changlong Xu, Zuopeng Zhang, Sajjad M. Jasimuddin, Xinyu Li
article en
1 citations

Abstract

From the perspective of the inhibition of privacy computing theory, taking user satisfaction as risk perception, this paper discusses how the readability of financial APP privacy policies inhibits user satisfaction, thus affecting enterprise performance. Firstly, this paper measures the readability of privacy policies by constructing a professional vocabulary and an improved Fog Index formula. Secondly, this paper collects 615 APP privacy policies and corresponding enterprise data and empirically analyzes the impact of the readability of financial APP privacy policies on enterprise performance. This paper enriches research in the field of financial technology and empirically finds that the readability of financial technology APP privacy policies has a negative impact on enterprise performance, while user satisfaction has a positive impact on enterprise performance. In practice, this paper provides a reference for financial technology enterprises to improve the readability of APP privacy policies to improve user satisfaction and enterprise performance.

Journal of Database ManagementVol. 35(1)
University of North Florida (US), Wuhan Textile University (CN), Kedge Business School (FR)
Openalex Percentile: Top 12%
Technology Adoption and User Behaviour
1.05
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