This study examines tourists’ revisit intention in an urban heritage destination by extending the Theory of Planned Behavior (TPB) with perceived tourism tax impact. The research focuses on Semarang Old Town, Indonesia, where heritage conservation, tourism development, and destination sustainability increasingly intersect. A quantitative cross-sectional survey was conducted involving 296 domestic tourists who had visited Semarang Old Town at least once. Data were analyzed using structural equation modeling to assess the measurement model, direct relationships, reciprocal associations, and moderating effects among the study constructs. The results show that subjective norm and perceived behavioral control significantly increase revisit intention, with perceived behavioral control emerging as the strongest direct predictor. Perceived tourism tax impact also has a significant positive effect on revisit intention, indicating that tourists may respond more favorably when tourism-related taxation is associated with destination improvement, heritage conservation, environmental protection, and local benefits. In contrast, hedonic and utilitarian attitudes do not exert significant direct effects on revisit intention. Perceived behavioral control further moderates the relationships between both attitude dimensions and revisit intention, suggesting that favorable evaluations are more likely to translate into intention when tourists perceive sufficient capacity and opportunity to revisit. These findings extend the explanatory relevance of TPB by introducing a policy-related perception into the model and demonstrate that revisit decisions in urban heritage tourism are shaped not only by attitudes but also by social influence, behavioral feasibility, and perceptions of tourism taxation.
Kadarisman Hidayat, Azzahra Rismarini Zayyan, Hefry Johan Ferdhianzah· INTERNATIONAL JOURNAL OF SOC...· 0 citations
Digital transformation initiatives in Indonesia often encounter challenges when implemented through top-down, technocratic approaches that overlook local sociocultural contexts. In a culturally diverse nation, aligning innovation with local realities becomes essential for sustainability and inclusivity. While collaborative models like the Quadruple Helix (QH) are gaining traction, limited research examines the integration of local knowledge systems into formal innovation frameworks in Global South settings. This study bridges the QH model, comprising government, academia, industry, and civil society, with local knowledge to develop an inclusive, culturally embedded digital innovation framework. Employing a mixed-method sequential explanatory design, the research was conducted in Malang City, Indonesia. Quantitative data were gathered from 400 respondents across QH sectors, followed by 16 in-depth qualitative interviews. Analysis utilized Structural Equation Modeling (SEM) and NVivo-based thematic analysis. SEM results indicate that QH collaboration intensity significantly enhances the effectiveness of digital transformation (β = 0.487, p < 0.001), with this relationship further strengthened by local knowledge integration (β = 0.376, p < 0.001). Socio-cultural context moderates both relationships (β = 0.312 and β = 0.289, p < 0.001). Qualitative findings underscore trust-building, reciprocal communication, and cultural sensitivity as critical mechanisms. This study pioneers a culturally embedded framework that reconceptualizes digital transformation as a socio-technical dialogue, positioning local communities as equal knowledge producers. It advances public administration theory and offers actionable pathways for designing community-based, participatory, and contextually appropriate digital policies, ensuring technology serves local needs.
Irwan Noor, Hefry Johan Ferdhianzah· Jurnal Borneo Administrator· 0 citations
