Consumers’ intentions to utilize smartphone diet applications: an integration of the privacy calculus model with self-efficacy, trust and experience
Purpose
The purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.
Design/methodology/approach
In a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.
Findings
The findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users’ experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.
Research limitations/implications
The limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.
Originality/value
This study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users’ experiences, providing valuable insights for various stakeholders in the field.
Keywords
Diet applications, Perceived risk, Perceived benefit, Trust, Self-efficiency, Users’ experience
Source
Mohammed, A. A., & Rozsa, Z. (2024). Consumers’ intentions to utilize smartphone diet applications: An integration of the privacy calculus model with self-efficacy, trust and experience. British Food Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/BFJ-11-2023-0989