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STI Policy and Management Journal
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 19079753     EISSN : 25025996     DOI : -
Core Subject :
The STI (Science, Technology and Innovation) Policy and Management is a scientific journal discussing theoretical and practical issues in science and technology policy for economic competitiveness, research and development management and innovation management. The journal welcomes manuscripts from researchers, academics and practitioners in these areas. The Editor accepts articles and book reviews in STI policy and management. Two volumes are published in a year (July and December).
Arjuna Subject : -
Articles 262 Documents
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The Implementation of The SECI Model in Knowledge Management Adoption Within Local Governments to Foster Innovation Lesmana Rian Andhika
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.423

Abstract

This study examines the application of the SECI model of knowledge management (KM) and how it can contribute to innovation. This study uses a qualitative approach to collect data through semi-structured interviews and case studies. Interviews were conducted with 30 predetermined informants: regional leaders, SPBE (Electronic-Based Government System) managers, and employees involved in planning, implementing, and evaluating innovation (Sumedang and Aceh Tenggara Local Government). This research case study was conducted in the Banyuwangi, Aceh Jaya, and Deli Serdang Local Governments. The results of this study indicate that local governments can improve innovation and public services by creating a learning culture that supports innovation through socialization, externalization, combination, and internalization of knowledge. The recommendations of this study include training and socialization on the importance of knowledge management and creating an environment that supports collaboration. In addition, it is important to involve all stakeholders in the knowledge management planning and implementation process.
Technological Innovation, Public Trust, and Policy Strategies For A Sustainable Financial Sector: A Systematic Review Eristian Wibisono; Mochammad Nurul
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.425

Abstract

This study aims to address a gap in the literature exploring the state of innovation in the financial industry by presenting key findings and insights from such research. Specifically, it addresses research questions related to the experiences and determinants of successful implementation of financial innovation in different countries, the underlying challenges that often arise, and solutions to overcome them. A systematic literature review (SLR) method was used to explore and investigate the research problem by applying three main protocols: scoping the literature, selecting and retrieving the most relevant articles, and critically reviewing the selected articles. The results of the current study indicate that studies related to financial innovation have grown significantly and are published in medium to high-quality literature sources, but much effort is still needed to bring this topic to a more mature stage. A critical review of previous research results in three main propositions contributing to this study. These include factors that facilitate successful financial innovation, overcoming challenges related to public trust, and policy strategies for sustainable financial innovation.
Revisiting the Stimulus, Organism, Response Model in AI-Driven Tourism: A Multi-Path Analysis of Personalization, Perception, and Privacy Arnas Hasanuddin; Achmad Ansari Hasanuddin; Askari Hasanuddin; Sitti Mujahida Baharuddin
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.428

Abstract

This study revisits the Stimulus, Organism, Response (S-O-R) model to examine the psychological mechanisms underlying tourists’ responses to AI-based personalization on digital tourism platforms. Drawing on a sample of 360 Indonesian respondents collected via online survey, the research investigates how AI-driven personalization influences three organismic states perceived value, trust, and privacy concern and how these states affect tourists’ behavioral intentions. Using partial least squares structural equation modeling (PLS-SEM), the results reveal that personalization significantly enhances perceived value and trust, while also reducing privacy concern. Each of these organismic responses, in turn, significantly shapes behavioral intention, confirming the relevance of the extended S-O-R framework in the AI tourism context. Theoretically, the study contributes to tourism literature by integrating both positive and negative psychological reactions into a unified explanatory model, highlighting personalization’s dual role as both functional and ethical stimulus. Practically, the findings offer insights for tourism platforms to design AI services that are not only adaptive and efficient but also transparent and trust-enhancing. Limitations include the study’s cross-sectional design and geographic concentration, pointing to future research directions involving longitudinal analysis, cross-cultural comparisons, and exploration of moderating variables such as digital literacy and cultural norms.
Enhancing Talent Retention Through AI-Driven Employer Branding: The Mediating Role of Recruitment Marketing and The Moderating Effect of AI-Powered Personalization Safroni Isrososiawan; Muhammad Azizurrohman; Risky Angga Pramuja
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.414

Abstract

The adoption of artificial intelligence (AI) in human resource management is transforming employer branding, recruitment marketing, and talent retention. This study examines how AI-driven employer branding enhances recruitment marketing effectiveness and improves retention, considering the roles of technological readiness, organizational culture, and strategic HR practices. Using Structural Equation Modeling - Partial Least Squares (SEM-PLS) with data from 312 HR professionals and employees across Indonesia, Taiwan, Malaysia, Singapore, the United States, the United Kingdom, and Germany, the findings confirm that AI-driven employer branding positively influences recruitment marketing and retention. The mediation analysis reveals that recruitment marketing partially mediates this relationship, while the moderation analysis shows that AI-powered personalization strengthens the impact of recruitment marketing on retention. These findings highlight the need for organizations to strategically integrate AI in employer branding and recruitment to improve hiring outcomes. This study advances theoretical insights into AI adoption in HRM by demonstrating its influence on branding strategies. From a managerial perspective, the results emphasize the importance of balancing AI automation with human interaction. Despite its cross-sectional limitations, future research should explore longitudinal impacts and ethical considerations in AI-driven recruitment. Organizations must adopt personalized, data-driven AI solutions to enhance employer branding and retention in the evolving job market
Balancing AI’s Promise and Pressure: A Dual-Process Model of AI Adoption Psychological States, and Employee Performance in Indonesia Asmini Asmini
STI Policy and Management Journal Vol 10, No 2 (2025): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2025.429

Abstract

This study investigates how artificial intelligence (AI) adoption affects employee performance through two competing psychological mechanisms: a positive pathway involving technological self-efficacy and job engagement, and a negative pathway involving perceived job insecurity and AI-induced stress. Drawing on data from 280 Indonesian employees across diverse sectors, the study employs structural equation modeling using SmartPLS to examine the hypothesized relationships. The findings confirm the dual-process model, showing that AI adoption positively influences performance by enhancing confidence in technology use and fostering engagement. However, the results also reveal that AI adoption can trigger job insecurity and psychological stress, which in turn negatively impact employee performance. Both sequential mediations positive and negative are statistically significant, emphasizing the coexistence of opportunity and risk in AI-driven transformation. These results contribute to theory by integrating cognitive-motivational and emotional-threat perspectives within the same framework. Practically, the study highlights the importance of organizational strategies that simultaneously empower employees through digital skill development while mitigating fears and emotional strain associated with technological disruption. The findings are particularly relevant to emerging economies like Indonesia, where rapid AI diffusion is not always matched by institutional protections or workforce readiness. Recommendations for inclusive, human-centered AI implementation are discussed
Future of Indonesia’s Industrial R&D using system dynamics Erman Aminullah
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.436

Abstract

This study attempts to explore the future of Indonesia's industrial R&D intensity based on historical data trends. A systemic approach and system dynamics modelling were used to explain Indonesia's high reliance on public funding for R&D activities. The simulation results show that: i. the policy of increasing industrial R&D investment can be implemented by transferring research outputs from research institutions to the industrial sector, as well as increasing R&D investment in the mission-oriented industrial sector. This is a challenging scenario for the most ambitious future R&D trends by 2045. ii. Limited R&D spending can have a tangible economic impact if public R&D organisations implement researcher performance evaluations based on R&D results' application in industry. Transferring government R&D outputs to the industrial sector will boost future industrial R&D in a moderate scenario by 2045. iii. Prolonged reliance on government R&D funding has the unintended consequence of lock-in dependence on public R&D funding, and further delays in increasing industrial R&D trends are most likely in a BAU scenario by 2045. The long-term policies should be executed integrally in realizing Indonesia’s transition to industrial R&D. This study's scientific contribution is a model of lock-in dependence on public R&D funding based on historical data.
The Role of E-Government as A Bureaucratic Reform Innovation Infrastructure Ignatius Novianto Hariwibowo; Rio Ageng Surya Susandy; Agustinus Edi Sutarta; Krist Setyo Yulianto
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.456

Abstract

Improving public services is one way to achieve government success. Within the framework of New Public Management, Indonesia created a grand design for bureaucratic reform through Presidential Regulation No. 81/2010. The government also implemented the Electronic-Based Government System (SPBE) as the foundation of e-government to reaffirm its commitment to improving services. This study examines e-government as an infrastructure that moderates the influence of bureaucratic reform and accountability on public services. The data includes the bureaucratic reform index, SPBE, SAKIP (accountability), and public services from provincial governments. The role of e-government as a moderator analyzed using panel regression with secondary data from 31 provincial governments and 186 panels from 2019 to 2024.  By positioning e-government as a moderator, this study explores the role of technology as a platform for public service innovation, a previously unstudied topic. The results show that bureaucratic reform and accountability directly improve public services, but e-government does not strengthen the influence of either. These findings confirm that technology adoption is an innovative tool that accelerates improvements in public service quality. This implies that the government requires digital capacity, data integration, and IT governance to deliver fast, transparent services to citizens without halting procedures.
An Institutional Analysis of Indigenous Data Governance in Indonesia’s STI Systems Winda Anestya Ayunda; Yogi Suprayogi Sugandi; Yanuar Farida Wismayanti; Wawan Budi Darmawan
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.463

Abstract

This article examines the institutional positioning of Indigenous Data Governance (IDG) within Indonesia’s Science, Technology, and Innovation (STI) policy framework. Using a qualitative analysis of key policy documents including Law No. 11/2019 on the National System of Science and Technology, Law No. 27/2022 on Personal Data Protection, and Law No. 6/2014 on Village Governance, this study explores how IDG is reflected in existing policies. The analysis is guided by an institutional perspective that focuses on three dimensions: regulative, normative, and cognitive elements. This approach enables an assessment of not only formal legal provisions, but also the values and underlying assumptions embedded in policy frameworks. The findings show that IDG remains weakly embedded within Indonesia’s STI policy framework. While certain regulative elements provide partial support particularly in relation to data protection and governance normative recognition of Indigenous communities and cognitive acknowledgment of Indigenous knowledge systems remain limited. As a result, policies tend to prioritize formal, individual-based data governance and overlook collective and culturally embedded dimensions of data. When interpreted within the broader STI system, these limitations are reflected in the insufficient inclusion of Indigenous actors, weak linkages between national policies and local governance structures, and the absence of a supportive enabling environment for IDG. This study highlights that the challenge of integrating IDG is not only a matter of legal recognition, but also of institutional alignment and system-level support. It contributes to the literature on STI governance by emphasizing the importance of incorporating diverse knowledge systems and strengthening coordination across governance levels in culturally diverse and decentralized contexts.
From Disease Burden to Workforce Policy: A Burden-Informed Framework for Health Workforce Planning in Indonesia. Sri Wahyuni; Sahat Aditua Fandhitya Silalahi; Bondan Haryono; Ius Olianto; Oos Fatimah Rosyati
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.454

Abstract

Abstract:Stroke is the leading cause of death and disability in Indonesia, responsible for 18% of all deaths and 10.8% of total Disability-Adjusted Life Years (DALYs) in 2023, requiring sub-national and needs-based health workforce planning, rather than traditional methods relying on population density for its distribution. This study introduces a novel, burden-based workforce forecasting framework, a policy innovation designed to align health workforce supply with actual epidemiological needs. A descriptive analysis combined Global Burden of Disease (GBD) 2023 estimates for stroke with national health workforce registries to identify critical mismatches in specialist distribution. The results reveal that high burden provinces such as East Kalimantan and North Sulawesi face significant shortages of neurologists, while lower burden regions like Bali show disproportionate number of specialists. Beyond clinical gaps, the analysis highlights a failure in strategic technology management, many districts possess diagnostic hardware but lack the specialized human capital to operate them. This studyproposes a systemic transition toward precision policy by embedding predictive analytics and digital health innovations, such as teleradiology and AI-driven clinical decision support, into national development planning. By moving from traditional ratio-based methods, this framework offers a more equitable and cost-effective foundation for policy reform. The Indonesian case offers transferable lessons for other countries facing similar demographic and epidemiological transitions, a scalable template for low-middle income countries to optimize health system resilience and equity through evidence-based policy management.Keywords: stroke, GBD, disease burden, health workforce planning, technology policy management, Indonesia.
Analysis of the Industry’s Perspective on Digital Competence Vocational Human Resources Mia Rahma Romadona; Andi Budiansyah; Suryadi Suryadi; Maulana Akbar; Fachrizal Fachrizal; Syahrizal Maulana; Ratna Sri Harjanti; Arif Hidayat
STI Policy and Management Journal Vol 11, No 1 (2026): STI Policy and Management
Publisher : National Research and Innovation Agency, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/STIPM.2026.440

Abstract

Industry in the technological era, as an economic driver is highly dependent on resource management especially human resources. Vocational higher education graduates (Diploma 3 and 4/applied bachelor levels) are designed to be ready with specific competency aligned to labor market demands. However, industries continue to report challenges in recruiting vocational graduates who fully their need. This study evaluates the digital competencies of vocational graduates in Indonesia in relation to industry using the European Commission’s Digital Competence Framework (DigComp). A mixed-method design was employed, combining in-depth interview and an online survey in eight digitally oriented companies in Indonesia which was then processed using descriptive statistics and paired sample t-tests. The results show not statistically significant difference (p > 0.05) between industry expectations and graduates’ competencies across the five DigComp dimensions: information digital literacy, communication and collaboration, content creation, security, and problem solving. Further results, graduates can meet technical standards but face recruitment barriers due to deficiencies in soft skills like communication, teamwork, and negotiation. These results confirm the applicability of DigComp in the context of vocational education in Indonesia, but also highlight the need to integrate generic competencies and strengthen structured industry collaboration to support long-term digital workforce development in Indonesia. 

Page 26 of 27 | Total Record : 262

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