Published May 20, 2026 | Version v1
Dataset Open

Extending the Technology Acceptance Model in Quick-Commerce Mobile Applications-The Roles of Interface

Description

The rapid expansion of quick-commerce mobile applications has reshaped how consumers purchase everyday essentials through digital platforms. Unlike traditional e-commerce, quick-commerce operates in a time-sensitive and mobile-first environment, making interface usability and trust particularly important in shaping user adoption. In this research, Technology Acceptance Model (TAM) is extended by adding interface usability and trust into the model with the aim of understand the factors that affect the users' behavioral intention toward the usage of ASTRO mobile application. This research used quantitative methodology through surveys conducted among 258 active users of ASTRO. The proposed model in this research was evaluated utilizing Partial Least Square Structural Equation Modeling (PLS-SEM). The findings show that interface usability significantly influences perceived ease of use and perceived usefulness. Furthermore, trust positively impacts both attitude toward use and behavioral intention to use. Both perceived usefulness and perceived ease of use also positively impact user attitude. These results confirm that TAM remains relevant in the quick-commerce context, while also demonstrating that interface usability and trust enhance its explanatory power in mobile retail environments. This research offers contributions to the technology adoption literature by providing a context-sensitive extension of TAM for quick-commerce applications and delivers practical recommendations for platform developers to optimize user experience, strengthen trust, and encourage sustained adoption.

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