Privacy Calculus Model for Online Social Networks: A Study of Facebook Users in a Malaysian University

Autor/inn/en	Rehman, Shafiq Ul; Manickam, Selvakumar; Al-Charchafchi, Ahmed
Titel	Privacy Calculus Model for Online Social Networks: A Study of Facebook Users in a Malaysian University
Quelle	In: Education and Information Technologies, 28 (2023) 6, S.7205-7223 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1360-2357
DOI	10.1007/s10639-022-11459-w
Schlagwörter	Foreign Countries; Social Media; Privacy; Information Security; Self Disclosure (Individuals); Use Studies; College Students; Cost Effectiveness; Malaysia + Suchen Sie Ihr Suchwort? Ausland; Soziale Medien; Privatsphäre; Benutzerschulung; Collegestudent; Kosten-Nutzen-Analyse; Kosten-Nutzen-Denken
Abstract	The increasing daily use of Online Social Networks (OSN) around the world leads to more issues related to user privacy behaviour in this attractive environment. While users can get many benefits by using OSN services, they have many concerns regarding their information privacy at the same time. Despite their privacy concerns, users are still using these platforms and still sharing more personal information or self-disclosing. The main objective of this research is to propose a conceptual model that is built based on a cost-benefit analysis of the privacy calculus theory to explain user privacy behaviour in the OSN environment. Both paper and online questionnaires were created to collect data directly from active users of the Facebook platform in Universiti Sains Malaysia (USM). The total number of respondents was two hundred and twenty-five (225). The PLS-SEM technique was applied to test the research hypotheses and assess the proposed research model. The four research hypotheses are all supported, negative relationships have been found between the privacy concerns variable and both self-disclosure amount ([beta] = -0.213) and self-disclosure depth ([beta] = -0.232) variables. While positive relationships are found between the perceived benefits variable and h of self-disclosure amount ([beta] = 0.445) and self-disclosure depth ([beta] = 0.353) variables. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01