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Abstract
Health and fitness apps have grown exponentially during covid-19 lockdowns. Using a sample of 331 European fitness apps users, this study investigated the psychological drivers of users’ intention on fitness apps. This study draws upon the Technology Acceptance Model (TAM) and innovation diffusion theory. Its findings reveal that subjective knowledge and personal innovativeness predict perceived Usefulness, health consciousness, and ease of use. The strongest predictor of intention to use an app is perceived Usefulness, which mediates the influence of subjective knowledge and innovativeness on intention to use. Health consciousness predicts ease of use; however, the latter does not predict behavioural intention. This is one of the first studies on European users of fitness apps and investigating the psychological antecedents of TAM, i.e., innovativeness, subjective knowledge, and consciousness.
Correction Statement
This article has been republished with minor changes. These changes do not impact the academic content of the article.
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Notes on contributors
Fulya Acikgoz
Fulya Acikgoz is a Ph.D. candidate at University of Bristol, UK. Her research focuses on technology marketing. Her work has published in journals including Journal of Business & Industrial Marketing, International Journal of Contemporary Hospitality Management, Behaviour & Information Technology, Journal of Marketing for Higher Education, International Journal of Human-Computer Interaction.
Raffaele Filieri
Raffaele Filieri is Professor of Digital Marketing, Marketing Department, Audencia Business School, Nantes, France. Raffaele has published 60+ papers in 34 journals including Journal of Service Research, Tourism Management, Annals of Tourism Research, Journal of Travel Research, Journal of Business Research, Marketing Letters, Information & Management, and many more.
Min Yan
Min Yan is a Lecturer in Management and Marketing at the University of Essex, UK. Her work has been published in the International Journal of Information Management; Technological Forecasting & Social Change.