Research on the Influencing Factors of User Privacy Disclosure Behavior Based on DEMATEL Model

DOI

10.2991/978-94-6463-276-7_32How to use a DOI?

Keywords

Dematel model; privacy disclosure; Elaboration likelihood model

Abstract

[Purpose/Significance] In order to deeply understand the user privacy disclosure behavior in the big data environment, so as to effectively formulate privacy protection strategies and promote sustainable digital development. [Methods/Process] This study followed the system thinking and built an index system of influencing factors of user privacy disclosure based on the four dimensions of ELM model. We used the Dematel method to quantitatively evaluate the indicators and identify eight important factors. [Results/Discovery] Through comprehensive analysis, this study reveals the factors that have been confirmed by previous studies, such as trust, perceived privacy risk and perceived fairness. Moreover, it finds the factors that have not been fully paid attention to by the academic community, such as cognitive needs, user personality traits, emotional value and reputation, providing a new perspective and theoretical basis for the study of user privacy disclosure. [Value] Based on the research conclusion, this paper suggests: analyze user privacy sensitivity to ensure user retention; Improve interaction strategies and cultivate emotional value; Improve privacy policies and enhance perceived fairness.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Jinglei Li
PY  - 2023
DA  - 2023/10/27
TI  - Research on the Influencing Factors of User Privacy Disclosure Behavior Based on DEMATEL Model
BT  - Proceedings of the 2023 4th International Conference on Big Data and Social Sciences (ICBDSS 2023)
PB  - Atlantis Press
SP  - 301
EP  - 307
SN  - 2667-128X
UR  - https://doi.org/10.2991/978-94-6463-276-7_32
DO  - 10.2991/978-94-6463-276-7_32
ID  - Li2023
ER  -