Impact of Internet Users’ Information Privacy Concerns on Behaviour: A Literature Review

Main Article Content

Dr. Mitesh Jayswal, Dr. Divyang V. Purohit, Nilamben Johnbhai Parmar

Abstract

Purpose: The article thoroughly examines the factors impacting internet users' information privacy concerns and proposes a theoretical framework for directing future research. The systematic literature review combined major privacy models to understand the comprehensive picture of users' behavioural intentions.


Design/Methodology/Approach: By systematically assessing the work of the GIPC, CFIP, and IUIPC models used to date, which were the available contributions on privacy concerns to date, a comprehensive model has been developed for further testing.


Findings: The study indicates that 16 key articles help in understanding privacy concerns. The combination of the GIPC, CFIP, and IUIPC models creates a comprehensive framework for evaluating privacy behaviours. This model not only highlights essential aspects but also assesses their relationship providing more insight into privacy-related behaviours.


Research Limitations: The model should be validated only using primary data analysis, and the outcomes are contextual.


Research Implications: This analysis provides an adequate basis for future studies on privacy concerns, as well as guidance to internet service providers on how to build successful privacy policies. Additionally, it helps internet users make educated decisions about their online behaviour.


Originality/Value: This article combined previously tested models in different domains, providing a comprehensive overview of the factors using privacy concerns. It is the first to incorporate different privacy models, providing an adequate basis for future study.

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