Volume 17 Number 5 (Sep. 2022)
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JSW 2022 Vol.17(5): 168-181 ISSN: 1796-217X
doi: 10.17706/jsw.17.5.168-181

Individual and Interpersonal Factors That Influence Dis-closure of Personal Identifiable Information on Social Net-Working Sites

Ahmed Alturki1, Shatha Alkhaldi1*, Abdullah Algarni3

1Department of Information Systems, Faculty of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia
2Information Technology Division, Institute of Public Administration, Riyadh 11141, Saudi Arabia

Abstract—This study aims to examine the influence of individual factors such as self-esteem and public con-sciousness and interpersonal factors such as the need for self-validation, social skills, and willingness to trust others on ‘personal identifiable information’ (PII) disclosure. The study used a quantitative research method. The study enrolled 375 male and female participants from Saudi Arabia. A closed-ended questionnaire was used to collect the data and analyzed using SPSS version 23. The study results predict that the following fac-tors: self-validation, public self-consciousness, willingness to trust others, and social skills influence PII dis-closure levels on social networking sites (SNS). This study identifies the most critical determinants and per-sonal or individual factors that affect the degree of PII disclosure on SNSs.

Index Terms—Social-ecological model (SEM), self-esteem, PII disclosure on SNSs, personal willingness to trust, individual social skills, public self-consciousness.


Cite: Ahmed Alturki, Shatha Alkhaldi, Abdullah Algarni, "Individual and Interpersonal Factors That Influence Dis-closure of Personal Identifiable Information on Social Net-Working Sites," Journal of Software vol. 17, no. 5, pp. 168-181, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0)

General Information

ISSN: 1796-217X (Online)
Frequency:  Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKIGoogle Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
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