Conceptual Paper: Sentience of Big Data towards User Privacy Concerns and Online Self-Disclosure Activities

Autor: Huzili Hussin, M. R. Hamzah, Adila Ismail
Rok vydání: 2021
Předmět:
Zdroj: Emerging Advances in Integrated Technology. 2
ISSN: 2773-5540
DOI: 10.30880/emait.2021.02.02.006
Popis: Big data allows widespread use and exchange of user data, and this will lead to the possibility of privacy breaches. Governments and corporations will incorporate personal data from different sources and learn a great deal about people and in turn, raise concerns about privacy. This paper will provide a conceptual understanding on the antecedents towards user privacy concerns and online self-disclosure activities, which are the knowledge and perceived risks of big data. In this paper, big data knowledge is hypothesized to decrease privacy concerns, meanwhile perceived risks is suggested to increase the outcome. Based on the framework, propositions are formulated as a basis for the study that will follow.
Databáze: OpenAIRE