Impact of perceived privacy and security in the TAM model: The perceived trust as the mediated factors

Abstract

Purpose Scholarly literature and industrial evidence imply how to improve face recognition technology. However, given the relative novelty of the influence on consumers' (users) emotions and behavior, little research has been undertaken on this issue. Hence, this paper aims to check the perceived role of privacy and security in behavioral intention in face recognition. As the mediated factor, we consider the impact of perceived privacy and perceived security on behavioral intention by trust, perceived ease of use, and perceived usefulness. Findings The results indicated that all the hypotheses are supported except for the effect of perceived privacy on trust Originality/value This paper analyzes the effect of perceived privacy and perceived security on behavioral intention in face recognition based on the Technology Acceptance Model (TAM), which has not been investigated thoroughly in the context of face recognition. Future research suggests using different samples or methods to test the stability of the results on these variables.

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