Abstract:Public service innovation in the development of micro, small, and medium enterprises (MSMEs) in Indonesia has been historically dominated by the managerial logic of New Public Management, which positions efficiency and quantitative…
uantitative targets as the measure of success. This approach fails to build long-term relational capacity among entrepreneurs, government, and the broader supporting ecosystem. This article analyses HETERO SPACE (House of Entrepreneurs, Technology-driven Ecosystem, Resource Optimization, Supportive Programs, Accessible Network, Collaborative Environment), a public service innovation developed by the Cooperatives and SME Office of Central Java Province, which received outstanding recognition in the 2025 Public Service Innovation Competition. The analysis applies a New Public Governance framework with emphasis on two sub-theoretical dimensions, namely co-production and collaborative networking. The research approach is a qualitative case study drawing on secondary data from the official Public Service Innovation System, implementation reports of the Central Java Cooperatives and SME Office, and relevant academic literature. The central argument is that HETERO SPACE is not merely an expanded MSME assistance programmed but a transition in the role of government from a sole service provider to an ecosystem orchestrator that mobilizes resources across actors. Findings indicate that HETERO SPACE success rests on three interrelated conditions, namely a platform design that facilitates inter-actor encounters, trust built through repeated interaction, and institutional commitment from the provincial government to share authority with non-state partners. The article contributes to Indonesian public administration literature by shifting the analytical arena of co-production from the social and health sectors to economic governance, and by demonstrating that New Public Governance principles can be operationalized concretely at the subnational level.
Abstract:This study discusses the optimization of a company's financial performance through working capital management and capital structure policies. To increase profitability (ROA), companies require efficient cash conversion cycle…
ycle management and optimal funding supported by internal company characteristics. The research problem proposed is to determine how to achieve increased profitability in an automotive distributor company through the efficiency factors of Cash Conversion Cycle (CCC), Firm Size (Firm Size), Leverage (DER), and historical profitability factors (ROA_Lag). The sample of this study is the financial statements of PT New Ratna Motor (Nasmoco Group) in Semarang City for the 2021-2024 period, which were transformed into quarterly data (N=16). The results of data analysis indicate that this research model has a good level of feasibility (goodness of fit) with the ability to explain variations in profitability (Adjusted R Square) of 78.1% and successfully overcome autocorrelation interference. Simultaneously, there is a strong relationship between the independent variables and the company's profit movements. Partially, the Cash Conversion Cycle (CCC) variable is proven to have a negative and significant effect on profitability, while the Firm Size and Leverage variables have not shown a significant effect at the 95% confidence level.
Abstract:This study examines the role of customer value in mediating the relationship between social media marketing and service quality toward the decision to become a BritAma Prioritas customer at Bank Rakyat Indonesia Sukabumi…
Branch. The key issue addressed in this study is the need to understand how digital marketing communication and priority banking service quality can be converted into meaningful value that influences premium customer decisions. This research employed a quantitative explanatory approach involving 386 BritAma Prioritas customers as respondents. Data were collected through structured questionnaires using a five-point Likert scale and analyzed using Confirmatory Factor Analysis and Structural Equation Modeling. The results show that social media marketing and service quality have positive and significant effects on customer value. Social media marketing, service quality, and customer value also positively and significantly influence customer decision. Customer value was found to be the strongest predictor of customer decision and significantly mediated the effects of both social media marketing and service quality. These findings indicate that customer acquisition in priority banking depends not only on promotional activities and service performance, but also on customers’ holistic value evaluation.
Abstract:This study aims to analyze the effect of Price Earning Ratio (PER), Debt to Equity Ratio (DER), and Current Ratio (CR) on firm value, with firm size as a moderating variable, in industrial sector companies listed on the…
Indonesia Stock Exchange during the 2022–2024 period. This study employed a quantitative approach with an associative method. The data used were secondary data obtained from companies’ annual financial reports. The sample was determined using purposive sampling, resulting in 44 companies with a total of 132 firm-year observations. The data were analyzed using Moderated Regression Analysis (MRA), supported by classical assumption tests, correlation coefficient analysis, coefficient of determination analysis, simultaneous testing, and partial testing. The results of the moderation model show that firm size has a positive and significant effect on firm value, with a significance value of 0.043. Meanwhile, PER, DER, and CR do not have a significant effect on firm value after firm size and the interaction variables are included in the model. The moderation test results indicate that firm size is unable to moderate the effect of PER, DER, and CR on firm value, as all interaction variables have significance values greater than 0.05. Although PER has a positive and significant effect on firm value in the first model, this effect is no longer significant in the moderation model. The coefficient of determination in the moderation model is 12.1%, indicating that the model’s ability to explain variations in firm value remains limited. These findings indicate that firm size is a more dominant factor in explaining firm value than PER, DER, and CR in the moderation model.
Abstract:This study examines the effects of the Dow Jones Industrial Average (DJIA), world gold prices, world oil prices, and the rupiah exchange rate on the Composite Stock Price Index (CSPI) in Indonesia. The study uses monthly…
secondary data from January 2015 to December 2025, comprising 132 observations. CSPI data were obtained from the Indonesia Stock Exchange, DJIA, gold price, and oil price data were obtained from Investing.com, while exchange rate data were sourced from Bank Indonesia. The analysis employed the two-step Engle-Granger Error Correction Model (EG-ECM) to identify long-run relationships and short-run adjustment dynamics. The long-run results show that gold prices, world oil prices, and the DJIA have positive and significant effects on the CSPI, whereas the rupiah exchange rate has a negative but insignificant effect. In the short run, the exchange rate has a negative and significant effect on the CSPI, while gold prices, oil prices, and the DJIA have positive and significant effects. The Error Correction Term coefficient of -0.1325 is negative and significant, indicating that approximately 13.25% of short-run disequilibrium is corrected each month toward long-run equilibrium. These findings imply that investors and policymakers should closely monitor global market conditions, commodity price movements, and exchange rate volatility to support investment decisions and maintain Indonesian capital market stability
Abstract:In carrying out its integrated regulatory and supervisory function in the financial services sector, the Financial Services Authority (OJK) receives various reports from Financial Services Institutions (LJK), Issuers, and…
d Public Companies regarding the receipt and distribution of funds. The complexity of funding and financing relationships between financial service actors creates concentration risks that have the potential to disrupt financial system stability. Experiences from the 1998 Indonesian crisis and the 2008 global financial crisis demonstrate that concentration of exposures and interconnectedness between entities can exacerbate systemic risk. This study aims to identify current supervisory data analysis practices and propose the development of a concentration risk analysis that integrates the loan exposures of large debtor groups with their funding sources. The study used a qualitative approach through interviews, observations, and document analysis. The results indicate that OJK supervisors need an integrated concentration risk analysis across various LJKs and customer groups. Currently, the analysis process is still carried out manually, resulting in inconsistent results and difficult to replicate. The implementation of Supervisory Technology (SupTech) can improve supervisory effectiveness while transforming supervisors' tacit knowledge into explicit knowledge that is documented, standardized, and easily shared. This research contributes to the development of technology-based risk monitoring and knowledge management models in the financial services sector.
Abstract:This study examines service quality and social media marketing activities as determinants of revisit intention, with customer satisfaction as an intervening variable at Flui Restaurant & Cafe Bogor. The research was motivated…
vated by the decline in customer visits despite the restaurant’s strategic location, unique waterfall concept, and active social media promotion. A quantitative explanatory approach was applied using a cross-sectional survey of 400 customers who had visited Flui Restaurant & Cafe Bogor. Data were collected through a structured questionnaire using a five-point Likert scale and analyzed using Structural Equation Modeling with LISREL 8.80. The results show that service quality has a positive and significant effect on customer satisfaction and revisit intention. Social media marketing activities also have a positive and significant effect on customer satisfaction and revisit intention. Furthermore, customer satisfaction significantly influences revisit intention and partially mediates the relationship between service quality and revisit intention, as well as between social media marketing activities and revisit intention. These findings indicate that increasing revisit intention requires an integrated strategy involving consistent service quality, interactive social media marketing, and customer satisfaction improvement
Abstract:This study aims to analyze the influence of customer experience and electronic word of mouth (e-WOM) on brand image and their impact on patient revisit intention at dental clinics in Bogor City. The study was motivated by…
y the increasingly competitive dental service industry, the growing role of digital reviews, and the need to strengthen patient retention in dental healthcare services. A quantitative explanatory approach was employed using an online survey of 200 patients who had visited dental clinics in Bogor City at least once. The data were analyzed using descriptive statistics and Structural Equation Modelling with LISREL 8.80. The results show that customer experience has a positive and significant effect on brand image and patient revisit intention. e-WOM also has a positive and significant effect on brand image and revisit intention. Furthermore, brand image positively affects revisit intention and partially mediates the relationship between customer experience and e-WOM on revisit intention. These findings indicate that dental clinics should integrate service experience management, credible digital reputation, and consistent brand image development to increase patient retention.
Abstract:This study examines the effect of inflation, interest rates (BI7DRR), and exchange rates (USD/IDR) on stock returns of PT Telkom Indonesia (Persero) Tbk., with the Jakarta Composite Index (IHSG) as an intervening variable.…
e. Using a quantitative explanatory research design, monthly secondary data spanning January 2016 to December 2025 (120 observations) were analysed using Pearson correlation and two-stage path analysis (OLS regression). Results indicate that inflation and exchange rates significantly influence IHSG, while the BI Rate does not. However, neither macroeconomic variables nor IHSG significantly affect Telkom's stock returns either directly or indirectly. The model explains only 2.7% of the variation in stock returns, suggesting that company-specific and sectoral factors dominate return determination. These findings imply that IHSG does not serve as an effective mediating channel between macroeconomic conditions and individual stock returns for Telkom. Investors in the telecommunications sector should prioritise fundamental and sectoral analysis over macroeconomic indicators when making portfolio decisions
Abstract:This study aims to examine the role of competition law in regulating corporate conduct, protecting consumers, and enhancing economic efficiency in contemporary market economies. Amid increasing market concentration, digital…
tal platform dominance, and the emergence of data-driven business models, competition law has become an essential regulatory instrument for ensuring fair competition, safeguarding consumer interests, and promoting sustainable economic development. This study employs a Systematic Literature Review (SLR) based on the PRISMA 2020 framework. Relevant literature was systematically collected from six major academic databases, namely Scopus, Web of Science, ScienceDirect, SpringerLink, Emerald Insight, and Taylor & Francis Online. The review process included identification, screening, eligibility assessment, and inclusion stages. A total of 78 peer-reviewed articles published between 2015 and 2025 were selected and analyzed using thematic synthesis techniques. The findings reveal that competition law performs four interconnected functions. First, it serves as a regulatory mechanism that shapes corporate behavior and prevents anticompetitive practices, including monopolization, cartel agreements, price-fixing, and abuse of dominant positions. Second, competition law enhances consumer welfare by promoting competitive prices, product quality, innovation, and consumer choice. Third, effective competition policy contributes to allocative, productive, and dynamic efficiency, thereby supporting long-term economic growth. Fourth, digital markets introduce new challenges associated with data concentration, platform dominance, network effects, and algorithmic pricing, requiring adaptive regulatory frameworks and strengthened institutional capacity.This study contributes to the literature by integrating Economic Efficiency Theory, Consumer Welfare Theory, Competition Policy Theory, and Regulatory Governance Theory into a comprehensive analytical framework that explains the relationship between competition law, corporate conduct regulation, consumer protection, and economic efficiency.The findings provide policy recommendations for competition authorities and governments, particularly in developing economies, regarding digital competition governance, institutional strengthening, cross-border enforcement cooperation, and data-driven market regulation.Unlike previous studies that focus on isolated dimensions of competition law, this research offers a holistic synthesis of legal, economic, consumer welfare, and governance perspectives. It further highlights how competition law can address emerging challenges in the digital economy while simultaneously promoting consumer protection and economic efficiency.