Initial Acceptance Of Multiplatform Web Application For Content Production Monitoring Using Technology Acceptance Model

Muhamad Dody Firmansyah (Universitas Internasional Batam)
Nicholas Kisu Candra (Universitas Internasional Batam)

Jurnal Ilmiah Matrik
Vol. 28 No. 2 (2026): Jurnal Ilmiah Matrik

Multipool integrates AI-based content generation and real-time monitoring, but its pre-use acceptance has not been evaluated. This study examined prospective users' initial acceptance using the Technology Acceptance Model (TAM) after exposure to system descriptions and interface screenshots. Of 126 responses, 113 were retained after z-score screening and analyzed using PLS-SEM. Perceived Ease of Use (PEOU) was positively associated with Perceived Usefulness (PU), and PU with Behavioral Intention (BI); both relationships received consistent support. The direct PEOU-BI relationship met the t-statistic and p-value criteria, but its 95% BCa confidence interval slightly included zero, so evidence for H3 was not fully consistent. Explanatory power was limited. Predictive performance was uneven: all Q²predict values were positive, but CVPAT showed significantly lower loss only for PU1 than LM at the indicator level and no significant advantage at construct or overall-model levels. The findings reflect initial acceptance, not validated actual use or causal effects.