Open AccessConceptual Paper: Sentience of Big Data towards User Privacy Concerns and Online Self-Disclosure Activities
Author(s) -
Adila Ismail,
Mohammad Rezal Hamzah,
Huzili Hussin
Publication year - 2021
Publication title -
emerging advances in integrated technology
Language(s) - English
Resource type - Journals
ISSN - 2773-5540
DOI - 10.30880/emait.2021.02.02.006
Subject(s) - big data , sentience , internet privacy , data breach , conceptual model , information privacy , personally identifiable information , conceptual framework , business , computer science , computer security , sociology , social science , database , artificial intelligence , operating system
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.