Health and Fitness

The use of a fitness app for customer recommendation: linear models and qualitative comparative analysis

F. García-pascual, M. Valcarce-torrente, et al.

Discover how fitness center mobile applications can shape user recommendations in this insightful study conducted by Fernando García-Pascual, Manel Valcarce-Torrente, Ferran Calabuig, and Jerónimo García-Fernández. Explore the impact of app aesthetics and information along with user demographics on user perceptions and recommendations.

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Playback language: English

Index

Abstract

This study investigates the influence of fitness center mobile applications on user recommendations. Using linear models and qualitative comparative analysis (QCA), the study analyzes the Mobile App Rating Scale (MARS) dimensions (engagement, functionality, aesthetics, information) and user demographics (age, gender) on app recommendations. Results indicate that aesthetics and information significantly influence recommendations, while age and gender impact recommendation pathways differently. The study highlights the importance of two-way communication and app quality for positive recommendations and emphasizes the complementary use of linear and QCA methods for a comprehensive understanding of user perceptions.

Publisher

Humanities & Social Sciences Communications

Published On

Nov 11, 2023

Authors

Fernando García-Pascual, Manel Valcarce-Torrente, Ferran Calabuig, Jerónimo García-Fernández

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