Technology Acceptance Model Analysis to Improve the Quality of Applications on MyWuling+ (Case Study of Wuling Motors Users)

Abstract

This study investigates the factors influencing user acceptance of the MyWuling+ application using a modified Technology Acceptance Model (TAM). The research examines the effects of Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Attitude Towards Using (ATU), Behavioral Intention to Use (BIU), and Actual Use (AU) in determining user acceptance. A quantitative approach utilizing Path Analysis was employed with data collected from 96 active MyWuling+ users. The findings indicate that PU significantly and positively affects ATU (significance value of 0.916), while PEOU does not significantly impact ATU (significance value of 0.002). Additionally, ATU positively influences BIU which in turn impacts AU. The reliability test using Cronbach’s Alpha yielded a value of 0.758 confirming good internal consistency, while validity was ensured through Corrected Item-Total Correlation (CITC). These results reinforce the applicability of TAM in understanding technology adoption behaviors and provide insights for developers to enhance mobile application acceptance. The study contributes to both academic literature and practical implications for optimizing user experience in automotive-related applications. Future research could explore additional factors, such as user trust and system quality, to further refine the model.