Understanding user Acceptance of Quick Response Code Indonesian Standard: Model TAM

C A Wicaksono, N Pramudita, Amron Amron, Y Wismantoro1*

Abstract


Abstract: The study explored the impact of QRIS on customer satisfaction and its contribution to Indonesia's digital transformation, economic efficiency, and financial inclusion, particularly in the context of mobile payment systems and their role in the country's economic recovery. The expansion of commerce in Indonesia necessitated a commensurate advancement in the growth rate of mobile cellular technology. Nowadays, most activities and transactions are conducted via mobile devices, including retail activities at marketplaces utilizing QRIS (Quick Response Code Indonesian Standard). This investigation's demographic focus is comprised of individuals who engage in transactions through QRIS and mobile technology. An objective sampling strategy was employed to disseminate questionnaires to 300 participants. This research framework incorporated the Technology Acceptance Model (TAM) alongside the commitment-trust paradigm within relational marketing. The Technology Acceptance Model (TAM) functioned as a tool to assess users' behavioral intentions, their acceptance, and the integration of new technologies by analyzing two core constructs—Perceived Ease of Use (PEOU) and Perceived Usefulness (PU). The correlation between all antecedents of the study and the dependent variables was statistically significant. Consumers' demands for cellular phone products must consider a range of individual tastes and preferences. The proposed model can enhance mobile user satisfaction when designing a product for the post-pandemic landscape. This implied that customer satisfaction with QRIS will likely escalate when PEOU, PU, and perceived trust are effectively managed. Consequently, the planned execution of PEOU, PU, and trust is expected to fulfill user expectations, resulting in a positive experience with mobile services.

Keywords


QRIS adoption, Technology Acceptance Model, user behavior analysis.

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