Iskanje po katalogu digitalne knjižnice

Opis: : The expectations for the (re)use of open government data (OGD) are high. However, measuring their impact remains challenging, as their effects are not solely economic but also long-term and spread across multiple domains. To accurately assess these impacts, we must first understand where they occur. This research presents a structured approach to developing a taxonomy for open government data (OGD) impact areas using machine learning-driven topic modeling and iterative taxonomy refinement. By analyzing a dataset of 697 OGD use cases, we employed various machine learning techniques—including Latent Dirichlet Allocation (LDA), Non-Negative Matrix Factorization (NMF), and Hierarchical Dirichlet Process (HDP)—to extract thematic categories and construct a structured taxonomy. The final taxonomy comprises seven high-level dimensions: Society, Health, Infrastructure, Education, Innovation, Governance, and Environment, each with specific subdomains and characteristics. Our findings reveal that OGD’s impact extends beyond governance and transparency, influencing education, sustainability, and public services. Our approach provides a scalable and data-driven methodology for categorizing OGD impact areas compared to previous research that relies on predefined classifications or manual taxonomies. However, the study has limitations, including a relatively small dataset, brief use cases, and the inherent subjectivity of taxonomic classification, which requires further validation by domain experts. This research contributes to the systematic assessment of OGD initiatives and provides a foundational framework for policymakers and researchers aiming to maximize the benefits of open data.
Ključne besede: open government data, topic modeling, taxonomy development, machine learning
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 4
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Opis: Background and Purpose: To encourage petroleum industry development, a country needs to set up a regulatory framework that standardizes investment conditions. The objective of the research was to investigate the determinants of government effectiveness in the petroleum sector. Design/Methodology/Approach: Multiple regression analysis was conducted to investigate if government effectiveness in the petroleum sector is influenced by the country’s political stability, regulatory quality, the intensity of petroleum exploration and production activities, government take, and type of contract used. Artificial neural network analysis was additionally conducted to identify the importance of independent variables. Results: Political stability, regulatory quality, government take attractiveness, and the intensity of petroleum activities positively influence government effectiveness. A more attractive government take enhances effectiveness, while the type of contract for awarding petroleum rights did not significantly impact effectiveness. Artificial neural network analysis revealed that the most important variables were regulatory quality and political stability. Conclusion: The research concluded that political stability, regulatory quality, and the intensity of petroleum activities are key factors in enhancing government effectiveness in the petroleum sector. These findings have practical implications, as they emphasize the importance of stable and well-regulated environments for achieving higher government effectiveness in the petroleum industry. This equips policymakers and industry professionals with actionable insights for improving the sector’s performance.
Ključne besede: energy policy, petroleum sector, government effectiveness, industry development
Objavljeno v DKUM: 13.08.2025; Ogledov: 0; Prenosov: 3
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Opis: At the end of the last century, digital technology emergence enabled millions of people to compete globally by remotely offering their knowledge and skills. In addition, business processes are becoming fragmented into smaller components, so-called short-term projects. These work arrangements are often carried out by so-called independent professionals (contractors), better known as freelancers. A literature review has shown that the research topic of freelancing from an entrepreneurial perspective is relatively new and has its assumptions and gaps. Different stakeholders and institutions connect, mediate and manage the services of the entrepreneurial ecosystem to support entrepreneurs. As freelancers belong to the self-employed entrepreneurial category, they are engaged in business activities and need support from their environment. To contribute to this topic, we have analyzed the relationships between freelancers’ job and career satisfaction, digitalization and entrepreneurial ecosystem factors, with the aim of making policy recommendations. Regarding the entrepreneurial environment, we analyzed the cultural and social norms and government programs that provide support, based on the measurement instrument, developed in the Global Entrepreneurship Monitor (GEM) research. We surveyed 200 freelancers (respondents) in Slovenia. Using factor analysis and structural equation modelling, the empirical results suggest that digitalization and cultural and social norms are significant factors that promote the success of new careers as freelancers in terms of job and career satisfaction. The results show that both positively influence job and career satisfaction, while government programs indirectly influence the job and career satisfaction of freelancers. This explains how the entrepreneurial ecosystem, plays a special role in supporting freelancers on their career path.
Ključne besede: digitalization, freelancers, government programs, cultural and social norms, job and career satisfaction
Objavljeno v DKUM: 19.08.2024; Ogledov: 118; Prenosov: 12
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Opis: Success breeds more success, the rich get richer, and the powerful get even more powerful. These are often true in human societies and describe the situation where whatever advantages one has in life frequently beget further advantages over time. The social sciences often describe this phenomenon as the Matthew effect of accumulated advantage, and it is known as preferential attachment in network science. The starting point of the process is often due to the first-mover advantage, under which the first person that achieves something will receive recognition and praise at a rate significantly higher than a person who achieves the same at a later point in time. All this boils down to the fact that unequal opportunities early on in education can translate into greater inequalities later in life. A major goal in the Turkish education system is therefore to ensure equal opportunities as well as equal quality of educational processes starting in preschool and beyond. This study explores the thought processed that have led to the implementation of procedures toward this goal, compares the current state in Turkiye with other OECD countries, and outlines future steps that are in the making for reaching targets throughout the educational system.
Ključne besede: educational equality, Matthew effect, cumulative advantage, preferential attachment, education policy, preschool education, educational systems, cooperation, social physics, government
Objavljeno v DKUM: 27.05.2024; Ogledov: 226; Prenosov: 24
Celotno besedilo (395,05 KB)
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Opis: The COVID-19 pandemic enhanced digital transformation. With the spread of the pandemic and the introduction of epidemiological measures, citizens were enforced to use the Internet to an increased extent. The digital divide among citizens and the capability of citizens to get an equal level of services has also come to the fore. The paper explores the changes in the use of e-government services and the impact of the pandemic on the citizens’ attitudes toward Internet use in Croatia. The analysis is based on the survey data. The results show that due to the pandemic, citizens became more dependent on IT equipment. Citizens spend more time using digital public services than in the pre-pandemic period. The results also reveal differences in the COVID-19 impact on the use of digital public services between different groups of population.
Ključne besede: digital public services, e-government services, citizens, digital divide, internet use
Objavljeno v DKUM: 05.09.2023; Ogledov: 224; Prenosov: 73
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