Iskanje po katalogu digitalne knjižnice

Opis: In this master’s thesis, we researched how people perceive artificial intelligence (AI) and the factors that shape their attitudes. Understanding public attitudes toward AI is crucial for ensuring its responsible development and deployment, aligning technological progress with societal expectations, and addressing ethical and social concerns. The primary goal of this study was to gain a comprehensive understanding of how the public forms attitudes toward AI and how these are influenced by perceived threats, societal benefits, and trust in institutions involved in AI development. The theoretical part reviewed the literature on the foundations of attitudes and on public perceptions of artificial intelligence, providing an essential framework for the empirical analysis. In the empirical part, a survey was conducted to explore public attitudes toward AI. Respondents were asked about their perceptions of AI as a potential threat, its societal benefits, their level of trust in institutions and companies responsible for AI, and their overall stance toward the technology. The results revealed that individuals who perceive AI as a threat to their jobs or privacy tend to hold significantly more negative attitudes. In contrast, perceived societal benefits and institutional trust did not show a statistically significant impact on overall attitudes toward AI. These findings highlight that personal concerns play a greater role than broader societal considerations or institutional trust. They also underline the importance of addressing individual fears and enhancing transparency in the development and deployment of AI technologies. Although the study faces limitations, such as a non-representative sample and reliance on self-reported survey data, it provides important insights into the complexity of public attitudes toward AI. Future research should include longitudinal and cross-cultural studies, as well as a combination of quantitative and qualitative methods, to capture the dynamic and multifaceted nature of public perceptions. The study contributes to a deeper understanding of how AI is perceived and emphasizes the need for a responsible, ethical, and socially sensitive approach to its integration into society.
Ključne besede: artificial intelligence (AI), public attitudes, perceived threats, societal benefits, trust in institutions, ethical considerations
Objavljeno v DKUM: 30.10.2025; Ogledov: 0; Prenosov: 16
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Ključne besede: relative poverty, economic freedom, liberal economic institutions, collectivism, unemployment
Objavljeno v DKUM: 21.08.2025; Ogledov: 0; Prenosov: 5
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Opis: This paper presents potential improvements through utilizing the cyclical nature of clusters by human capital, technology, policies, and management. A historical review of the formation and sustainable development of clusters in the US, Europe, Japan, China, and other regions is carried out to achieve this. The aim was to identify and assess the prominent occurrence cases, the central institutional actors, the indicators of their innovative activity, and the schematics of successful cluster management. The theory section covers current classification methods and typology of innovation-territorial economic associations. Consequently, a regression analysis model is produced to identify the potential dominant success factors in implementing the innovation policy of the most successful innovative clusters. Comments on the influence of these predictors on the competitiveness and level of innovative development of the 50 inspected countries follow. As a result of qualitative and quantitative analysis, an overview of the best world practice, the new vision, and its priorities are proposed to improve the efficiency at the level of management structures of innovation clusters.
Ključne besede: cluster, cluster policy, state policy, regression analysis, institutions, innovation, R&D
Objavljeno v DKUM: 09.04.2024; Ogledov: 306; Prenosov: 134
Celotno besedilo (1,23 MB)
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Opis: Purpose: This study examines the vital role of corporate security in healthcare institutions during the epidemic and underscores its significance. It also presents the perspectives of healthcare employees on corporate security. The aim is to provide insights into the current state of corporate security in Slovenia and offer recommendations for enhancement. Design/Methods/Approach: Procedures employed encompass a descriptive approach and a synthesis of existing knowledge. We focused on corporate activity within organizations, particularly emphasizing effective corporate security. A review of domestic and foreign literature provided context, while a quantitative survey questionnaire gathered empirical data. The questionnaire included 18 closed questions on a 5-point Likert scale, along with socio-demographic data. Data analysis utilized IBM SPSS version 23.0. Findings: The main goal of corporate security is to ensure the safety of people in each organisation (in our case, healthcare institutions). Healthcare institutions, especially hospitals, are critical infrastructures are in constant operation; therefore, an institution must be protected 24 hours a day. According to health facility staff, on average security during the epidemic was adequate, and the organisation of security was well planned. Research Limitations/Implications: The results of the study provide a starting point for further research in the area of the topic addressed, while also serving to inform professionals and the general public about the topic. Originality/Value: The study a starting point for empirical studies that will address corporate security in relation to healthcare institutions.
Ključne besede: corporate security, COVID-19, sense of security, healthcare institutions, security risks
Objavljeno v DKUM: 15.01.2024; Ogledov: 250; Prenosov: 27
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Opis: Purpose: Earlier research has indicated the high exposure of those working in assisting occupations to workplace violence in Slovenia. The purpose of this study is to complement the research gap in investigating violence within social care and determine the types and extent of workplace violence among all employees in a social care institution, the influence of aggressive behaviour of users on the well-being of employees, and the need for education on dealing with the violence to which employees are being exposed. Design/Methods/Approach: Workplace violence was researched quantitatively using a descriptive method. We used a structured survey questionnaire, which was adapted using an existing questionnaire to research the occurrence of violent acts from users against employees at nursing homes and other social care institutions. Findings: The nursing home Dom ob Savinji Celje faces user violence against its employees. The most frequent form of violence against employees is verbal abuse (37.7% of respondents) and the least frequent is unwanted conduct of a sexual nature (5.2% of respondents). Workers employed in healthcare face user violence more often than employees in other fields. Employees most often face a certain form of user violence 1-2 times per year. When an employee meets an aggressive user, the most common emotions are fear, helplessness, uncertainty, feeling under threat, and least often a lack of understanding from fellow employees. Originality/Value: This study focuses on studying workplace violence within a social care institution and complements extant, yet inadequate scientific findings.
Ključne besede: nursing homes, workplace violence, healthcare, social care, social care institutions
Objavljeno v DKUM: 18.05.2020; Ogledov: 1113; Prenosov: 57
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