Ngatno

Restaurant tax is a crucial source of funding for local government’s development activities. However, there is still very limited research that analyzes restaurant tax compliance in the context of today’s rapidly growing e-commerce. This paper is relevant because the growth of e-commerce-based restaurants in local governments in Indonesia contrasts with the decrease in tax revenues. This study aims to analyze the determinants of restaurant tax compliance using e-commerce and self-assessment systems as independent variables and technology-based tax monitoring as a moderating variable. The sample consists of 68 payers of restaurant tax in the city of Semarang, Indonesia, who have used e-commerce to transact their business. The testing of the hypotheses was carried out using partial least squares-structural equation modeling (PLS-SEM). The results show that the self-assessment system has a positive significant effect on tax compliance with a path coefficient of 0.31. Technology-based tax monitoring significantly affects tax compliance with a path coefficient of 0.52. Technology-based tax monitoring acts more as the main determinant rather than as a moderating variable. The study stresses the importance of implementing technology-based restaurant tax monitoring for local governments. Local finances, primarily funded by local taxes such as the restaurant tax, are essential for bolstering regional budgets. These funds directly contribute to public services and infrastructure, making restaurant tax compliance vital for local government autonomy and development.

Type of the article: Research Article

Abstract
This study investigates whether competitive intensity and environmental complexity moderate the relationship between risk-taking and performance among rural banks in Central Java, Indonesia. The study was conducted in Central Java, Indonesia, during January-December 2024, using secondary data from the audited financial statements of 239 rural banks for the fiscal year ending December 31, 2024. Moderated regression models were estimated to examine the effects of credit risk (non-performing loan ratio), market risk (net interest margin), liquidity risk (loan-to-deposit ratio), and operational risk (operating expenses to operating income) on rural banks' performance (return on assets), and to test interaction effects with competitive intensity (Lerner index) and environmental complexity. The results indicate that net interest margin is positively associated with return on assets, whereas the operating expenses to operating income ratio is negatively associated; the non-performing loan ratio and loan-to-deposit ratio are not statistically significant. Lerner index and environmental complexity show no direct association with return on assets. However, the Lerner index strengthens the positive association between net interest margin and return on assets and exacerbates the negative association between operating expenses and operating income and return on assets. Environmental complexity weakens the positive association between net interest margin and return on assets. These findings suggest that market conditions and environmental complexity shape how risk indicators translate into rural bank performance in 2024, underscoring the importance of operational efficiency and adaptive risk management in competitive and complex environments.