<![CDATA[Yogyakarta tourism faces challenges in maintaining repeat visits amid fierce competition. Although destination image and quality are recognized as important factors, the mechanisms that drive them toward long-term revisit intention remain poorly understood. A quantitative, survey-based research method was used to collect data from 145 tourists who had visited Yogyakarta at least twice. Purposive sampling was used, and the data were analyzed using PLS-Structural Equation Modeling (SEM). The results of the measurement model analysis showed that all indicators used were valid and reliable. Meanwhile, structural model analysis revealed that all proposed direct path hypotheses were statistically significant. In absolute terms, the variable with the most substantial overall influence in the model was DI, primarily because of its strong influence (path coefficient of 0.753) on the RI variable, which is often the primary dependent variable (outcome variable) in models such as this. However, when we examine how much DQ influences other variables, DQ is an important variable that acts as a “generator” or predictor of several other latent variables (DI, DV, and HTE), with significant influence. DI has the most substantial direct influence on the final variable (RI), while DQ has a strong influence on the mediating variables (DI, DV, HTE), which then influence RI. This study suggests that destination managers should focus on strategies that create unique value and build emotional engagement among tourists, rather than solely on improving physical quality and promoting the image.]]>
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