Inspirasi & Strategi (INSPIRAT): Jurnal Kebijakan Publik & Bisnis
Inspirasi & Strategi (INSPIRAT): Jurnal Kebijakan Publik & Bisnis contains articles and scientific papers in the form of research and non-research results, both in government institutions or in the community. This journal focuses on the theoretical and practical study of public policy starting from the formulation, implementation, and evaluation of policies carried out by the government in dealing with the changing needs and demands of society. Therefore, the publication of this journal as a scientific media regarding issues of public policy, both in the form of legislation, legal government, regional regulations, policy government, and government programs and actions. The publication of this journal aims to disseminate theoretical and practical studies in the field of public policy throughout higher education, government institutions, non-governmental at the Indonesia and the world.
Evaluating the Impact of Digital Transformation Policies on Transparency and Accountability in Public Governance
The rapid advancement of digital technology has encouraged governments to adopt digital transformation policies aimed at improving governance, particularly in terms of transparency and accountability. However, the extent to which these policies achieve their intended outcomes remains a subject of debate, especially in developing countries. This study aims to analyze the impact of government digital transformation policies on public transparency and accountability, as well as to identify the factors influencing their effectiveness. The research employs a mixed-methods approach, combining qualitative techniques such as case studies, interviews, and policy analysis with quantitative methods, including public perception surveys and statistical analysis. The findings reveal that digital transformation policies contribute positively to improving transparency by increasing access to government information and enhancing accountability through better monitoring and reporting systems. Nevertheless, these improvements are not fully optimal, as challenges related to data quality, digital literacy, infrastructure limitations, and low public participation persist. The study also identifies a significant gap between policy design and implementation, indicating that digital initiatives often achieve procedural rather than substantive outcomes. In conclusion, while digital transformation policies have strong potential to enhance governance, their effectiveness is highly dependent on institutional readiness, technological capacity, and social engagement. Therefore, a comprehensive and integrated approach is necessary to ensure that digital transformation leads to meaningful and sustainable improvements in public transparency and accountability.
Copyright (c) 2026 Reva Amelia https://creativecommons.org/licenses/by-nc/4.0
Business Model Canvas Strategy Analysis in Technology-Based Startups
The rapid growth of technology-based startups in the digital economy highlights the importance of having a well-structured and strategic business model to ensure sustainability and competitiveness. However, many startups fail due to unclear value propositions, weak revenue models, and poor alignment between business components. This study aims to analyze the business strategy of a technology-based startup using the Business Model Canvas (BMC) framework. The research adopts a qualitative case study approach, with data collected through interviews, observations, and documentation, and analyzed using the nine elements of the BMC. The findings reveal that the startup demonstrates strengths in its value proposition, digital channels, and scalability, enabling it to effectively deliver services to its target market. However, weaknesses are identified in the alignment between customer segments and value propositions, as well as in the design of revenue streams that may not fully meet customer expectations. These gaps indicate the need for better strategic integration across business model components. The study concludes that the Business Model Canvas is an effective tool for systematically analyzing and improving startup strategies, particularly when used not only for planning but also for continuous evaluation and innovation to enhance long-term business performance and sustainability.
Copyright (c) 2026 Belva Kirana, Dyana Dara, Naura Citra Lestari https://creativecommons.org/licenses/by-nc/4.0
Investment Policy Analysis on the Development of the Financial Technology (Fintech) Industry
The rapid growth of the financial technology (fintech) industry has transformed the global financial landscape and created new opportunities for innovation, financial inclusion, and economic development. This study aims to analyze the effectiveness of investment policies in supporting the development of the fintech industry, particularly in the context of emerging economies. The research adopts a mixed-methods approach, combining qualitative and quantitative techniques through data collection methods such as interviews, surveys, and document analysis. Data are obtained from government reports, fintech companies, and investors to provide a comprehensive understanding of policy implementation and its impact. The findings indicate that investment policies, including tax incentives, regulatory frameworks, and funding support mechanisms, play a significant role in attracting investment inflows, fostering innovation, and expanding financial inclusion. However, the effectiveness of these policies is often constrained by regulatory uncertainty, bureaucratic inefficiencies, limited coordination among institutions, and technological readiness challenges. The study also finds that political stability, economic conditions, and public trust significantly influence policy outcomes. In conclusion, while current investment policies have contributed positively to fintech development, there is a need for continuous improvement to enhance their effectiveness. Strengthening regulatory clarity, improving investor protection, encouraging innovation through targeted incentives, and fostering collaboration between stakeholders are essential to creating a more conducive fintech ecosystem. This research provides important insights for policymakers and industry practitioners in developing sustainable strategies to support fintech growth and maximize its contribution to economic development.
Copyright (c) 2026 Amadea Elenora Gracia https://creativecommons.org/licenses/by-nc/4.0
Blockchain Adoption for Improving Business Transparency and Accountability in Indonesia
Business transparency remains a critical issue in Indonesia, where challenges such as fraud, data manipulation, and limited accountability continue to undermine trust in business practices. The increasing complexity of economic activities highlights the need for more reliable and secure systems to ensure data integrity and openness. This study aims to analyze the role of blockchain technology in improving business transparency in Indonesia. The research employs a qualitative descriptive approach, supported by a literature review and case study analysis of blockchain applications in sectors such as finance, supply chain, and public services. The findings indicate that blockchain significantly enhances transparency through its key features, including immutable records, decentralized data management, and real-time transaction tracking. These characteristics contribute to increased trust among stakeholders, reduced opportunities for fraud, and improved traceability of business processes. Furthermore, blockchain demonstrates potential in strengthening accountability and operational efficiency compared to traditional centralized systems. However, challenges such as regulatory uncertainty, limited infrastructure, and high implementation costs remain barriers to widespread adoption. In conclusion, blockchain technology is an effective and promising solution for improving business transparency in Indonesia, particularly when supported by appropriate policies, infrastructure development, and increased digital literacy.
Copyright (c) 2026 Mianda Karamoy, Ryan Mamesah, saranani@gmail.com Sarani https://creativecommons.org/licenses/by-nc/4.0
Analysis of the Effectiveness of AI-Based Public Service Digitalization Policies in Improving Public Satisfaction
Public service quality remains a critical issue in many countries, where traditional bureaucratic systems are often characterized by inefficiency, limited accessibility, and low levels of public satisfaction. In response, governments have increasingly adopted digitalization strategies, including the integration of Artificial Intelligence (AI), to improve service delivery. This study aims to analyze the effectiveness of AI-based public service digitalization policies in increasing public satisfaction. The research employs a quantitative approach using a survey method, with data collected through questionnaires distributed to users of digital public services. The data are analyzed using descriptive statistics and regression analysis to examine the relationship between AI-based digitalization and public satisfaction. The results indicate that AI implementation significantly improves service efficiency, accuracy, accessibility, and transparency, which in turn positively influences public satisfaction. Among these factors, service speed and ease of access are identified as the most dominant contributors. However, challenges such as digital literacy gaps and technical issues are also identified. In conclusion, AI-based public service digitalization policies are effective in enhancing public satisfaction, although their success depends on supporting factors such as infrastructure readiness, user capability, and system reliability.
Copyright (c) 2026 Almashyra Nadira Latifah https://creativecommons.org/licenses/by-nc/4.0