3.8 Article

Examining the use of fitness apps in sports centers in Taiwan: incorporating task-technology fit into a technology readiness acceptance model

期刊

MANAGING SPORT AND LEISURE
卷 28, 期 3, 页码 283-301

出版社

ROUTLEDGE JOURNALS, TAYLOR & FRANCIS LTD
DOI: 10.1080/23750472.2023.2165532

关键词

Sports marketing; sport fitness clubs; technology readiness; task-technology fit

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This study examines users' behavioral intention to use fitness apps and investigates the effects of technology readiness (TR) and task-technology fit (TTF) using the technology readiness acceptance model (TRAM). The data analysis was conducted using structural equation modeling (SEM) with a sample of 328 consumers from six civil sports centers in Taiwan. The findings suggest that TR has a significant positive relationship with perceived usefulness (PU) and perceived ease of use (PEOU), while TTF only has a significant relationship with PU. The validated model contributes to the existing knowledge on sports technologies.
Rationale/purposeThis study analyzes users' behavior intention to use fitness apps and adopts the technology readiness acceptance model (TRAM) to explore the effects of technology readiness (TR) and task-technology fit (TTF) in the context of using fitness apps.Design/methodology/approachWe used a purposive sampling method, recruiting 328 consumers from six civil sports centers in Taiwan, and performed structural equation modeling (SEM) for the data analysis.FindingsThe results presented conclusive evidence that TR has a significant positive relationship with both perceived usefulness (PU) and perceived ease of use (PEOU), while TTF only has a significant relationship with PU. The model was validated, contributing to the existing body of knowledge on sports technologies.Practical ImplicationsIn the promotion of technological applications, sports facility practitioners can target specific customer groups to develop precise marketing strategies.Research ContributionsThe integrated TRAM model shifts the emphasis on intelligent technology to the feature of consumers and sports contexts, making the research model more comprehensive to predict users' intention toward fitness apps and prioritize the use of sport-related technology to optimize the application of technologies in the sports fields.

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