Analysis of Cloud-Based Point of Sale (POS) System Adoption in Small and Medium Enterprises (SMEs) in the Retail Sector Using the Technology Acceptance Model (TAM)

Abstract

Digital transformation is crucial for Small and Medium Enterprises (SMEs) in the retail sector. This research analyzes the factors influencing the acceptance of cloud-based Point of Sale (POS) systems among SMEs using the Technology Acceptance Model (TAM). Data was collected through questionnaires from 120 respondents in the Jabodetabek region and analyzed using Structural Equation Modeling (SEM). The research findings demonstrate that Perceived Ease of Use (PEOU) has a significant positive influence on Perceived Usefulness (PU). Both factors also significantly affect Attitude Toward Use (ATU), which ultimately shapes Behavioral Intention to Use (BIU) for system adoption. It is concluded that perceived usefulness and ease of use are key to technology acceptance. Therefore, developers and marketers need to focus on intuitive interfaces and clear demonstrations of benefits to drive the adoption of cloud-based POS systems among SMEs