Enhancing the Implementation of the Technology Acceptance Model (TAM) in the Drug Management Information System within the Pharmaceutical Installation of the Private Hospitals

The drug management cycle encompasses a comprehensive range of activities, including selection, planning, procurement, storage, distribution, destruction, control, administration, reporting, and recording. In this context, hospitals can significantly enhance efficiency and accuracy in determining requisites through the integration of technology. The deployment of a Management Information System (MIS) plays a pivotal role in facilitating the implementation of an optimal drug management system. This study aims to elucidate the impact of Perceived Ease of Use (PEOU) on Perceived Usefulness (PU), the influence of Perceived Ease of Use (PEOU) on Behavioral Intention to Use (BI), and the effect of Perceived Usefulness (PU) on Behavioral Intention to Use (BI) within the context of the MIS for drug management at the pharmaceutical installation of the private hospitals. The theoretical framework guiding this investigation is the Technology Acceptance Model (TAM), which serves to shed light on the determinants influencing the acceptance of MIS. Adopting an analytic observational design, this research is characterized by a cross-sectional methodology. The sampling strategy employed was total sampling, yielding a cohort of 46 study respondents. The data collection was taken at the pharmaceutical installation of the private hospitals in December 2023. The analysis of the data was conducted utilizing the Partial Least Squares (PLS) method via SmartPLS software version 4.0. The findings from the analysis indicate that: (1) Perceived Ease of Use (PEOU) exerts a positive and significant influence on Perceived Usefulness (PU), as evidenced by a P-value of 0.000; (2) Perceived Ease of Use (PEOU) also positively and significantly affects Behavioral Intention to Use (BI), as demonstrated by a P-value of 0.000; (3) Conversely, Perceived Usefulness (PU) does not have a significant positive impact on Behavioral Intention to Use (BI), with a P-value of 0.307.