From Tap to Track: Technology-Oriented Predictors of Continuance Intention in Running Applications
Description
The rapid adoption of mobile running applications (running apps) in Indonesia has transformed fitness management, yet sustaining long-term user engagement remains a critical challenge. This study aims to analyze how technology-oriented factors, specifically Perceived Ease of Use (PEOU), Gamification (GAM), and Social Relatedness (SR), influence users' Continuance Intention (CI) in running applications. Utilizing a quantitative approach, data were collected through an online survey of 400 active running app users in Indonesia, followed by analysis using Partial Least Squares Structural Equation Modeling (PLS-SEM). The findings indicate that all three hypothesized relationships are statistically supported at P = 0.000. PEOU significantly affects CI (T = 3.558), and both GAM (T = 5.240) and SR (T = 5.446) demonstrate exceptionally strong influences. Crucially, the combination of GAM and SR emerges as the dominant predictor of continued use, suggesting that integrating motivational rewards with a strong community element is key to user retention. These results reinforce the necessity of extending the Technology Acceptance Model (TAM) with social and intrinsic motivation factors in the digital fitness context. The study offers vital practical implications for developers seeking to design applications that ensure sustained user commitment in trend-sensitive markets.
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Steps to reproduce
Data collection was executed through an online survey using a five-point Likert scale to capture respondents' perceptions. The minimum sample size (n) was calculated using the Slovin Formula, which is suitable for exploratory studies involving large populations. PLS-SEM is chosen due to its capability to handle complex research models and its suitability for exploratory research and theory development [16]. This variance-based technique will be used to test the established hypotheses (H1, H2, H3) by SR evaluating both the measurement model (validity and reliability) and the structural model (path testing and explained variance.
Institutions
- Bina Nusantara University