Platformizing Heritage Flavours: A Structural Model of Digital Ecosystem Adoption and Tourist Revisit Intention for Betawi Culinary Attractions in Jakarta

This study empirically investigates the impact of Digital Ecosystem Adoption by Betawi culinary attractions on Tourist Revisit Intention in Jakarta. Addressing a research gap in understanding the holistic influence of integrated digital strategies within heritage gastronomy tourism, this quantitative study employs Structural Equation Modeling – Partial Least Squares. Data analysis confirms the robust reliability and validity of the measurement model for both "Digital Ecosystem Adoption" and "Tourist Revisit Intention" constructs. The structural model reveals a significant positive relationship, with Digital Ecosystem Adoption (β = 0.370, p < 0.001) positively influencing Tourist Revisit Intention. While Digital Ecosystem Adoption explains a moderate 13.7% of the variance in Tourist Revisit Intention ($R^2 = 0.137$), highlighting the role of other influencing factors, its direct impact is statistically conclusive. This research contributes theoretically by examining the integrated digital ecosystem's effect on revisit intention in a specific heritage culinary context. Practically, findings underscore the necessity for policymakers, tourism developers, and local businesses to strategically adopt and integrate digital platforms to enhance visibility, engagement, and repeat visitation, thereby promoting and preserving Jakarta's unique Betawi culinary heritage. Keywords: Digital Ecosystem Adoption, Heritage Gastronomy Tourism, Betawi Culinary Attractions