Iskanje po katalogu digitalne knjižnice

Opis: Artificial intelligence has revolutionised the way we communicate in recent years, especially on social networks, where communication is fast and large-scaled. Companies are also using artificial intelligence to communicate with customers, including automating messages intended for customer acquisition, which raises a key question: how effective are messages created with artificial intelligence compared to messages written without artificial intelligence? This thesis analyses the impact of artificial intelligence on business communication using the example of company X. The research compares the effectiveness of messages created with artificial intelligence with messages written without artificial intelligence in the form of LinkedIn outreach, focusing on two key performance indicators: the response rate to the messages and the number of video calls made with potential customers. In addition, the time efficiency of preparing content for messages with and without artificial intelligence was also analysed. The results show that messages created with artificial intelligence were not only faster to prepare but also achieved higher response rates and a higher number of scheduled video calls with customers compared to messages written without artificial intelligence. This thesis contributes to a better understanding of the role of artificial intelligence in modern business communication and offers insights into its value in connecting with potential customers via social networks, using a practical example.
Ključne besede: Artificial intelligence, business communication, social networks, comparison.
Objavljeno v DKUM: 03.10.2025; Ogledov: 0; Prenosov: 18
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Opis: Existing research indicates that dietary habits spread through social networks, yet the impact on populations in Eastern Europe, particularly in rural areas, is less understood. We examine the influence of personal networks on the consumption of high-salt processed foods among individuals in rural Romania, with a specific focus on older adults. Using a personal network analysis, we analyze data from 83 participants of varying ages and their social contacts through multi-level regression models. The inclusion of participants across a wider age range allows us to capture the broader dynamics of social networks, reflecting the intergenerational nature of rural communities. Our findings reveal assortativity in dietary habits, indicating that individuals cluster with others who share similar food consumption patterns. Our results underscore the need for public health interventions that account for the influence of social networks on dietary behavior, as addressing high salt intake and its associated health risks may require considering the broader social context beyond older adults. The study contributes to understanding the social determinants of dietary behaviors and highlights the role of personal networks in shaping food choices in vulnerable populations.
Ključne besede: processed food, older adults, social networks, assortativity, Romania, Eastern Europe
Objavljeno v DKUM: 31.03.2025; Ogledov: 0; Prenosov: 10
Celotno besedilo (1,64 MB)
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Opis: Inter-city interactions are critical for the transmission of infectious diseases, yet their effects on the scaling of disease cases remain largely underexplored. Here, we use the commuting network as a proxy for inter-city interactions, integrating it with a general scaling framework to describe the incidence of seven infectious diseases across Brazilian cities as a function of population size and the number of commuters. Our models significantly outperform traditional urban scaling approaches, revealing that the relationship between disease cases and a combination of population and commuters varies across diseases and is influenced by both factors. Although most cities exhibit a less-than-proportional increase in disease cases with changes in population and commuters, more-than-proportional responses are also observed across all diseases. Notably, in some small and isolated cities, proportional rises in population and commuters correlate with a reduction in disease cases. These findings suggest that such towns may experience improved health outcomes and socioeconomic conditions as they grow and become more connected. However, as growth and connectivity continue, these gains diminish, eventually giving way to challenges typical of larger urban areas - such as socioeconomic inequality and overcrowding - that facilitate the spread of infectious diseases. Our study underscores the interconnected roles of population size and commuter dynamics in disease incidence while highlighting that changes in population size exert a greater influence on disease cases than variations in the number of commuters.
Ključne besede: complex networks, statistical physics, interactions between cities, disease scaling, social physics
Objavljeno v DKUM: 09.01.2025; Ogledov: 0; Prenosov: 4
Celotno besedilo (3,94 MB)
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Opis: A common expectation is that career productivity peaks rather early and then gradually declines with seniority. But whether this holds true is still an open question. Here we investigate the productivity trajectories of almost 8500 scientists from over 50 disciplines using methods from time-series analysis, dimensionality reduction, and network science, showing that there exist six universal productivity patterns in research. Based on clusters of productivity trajectories and network representations where researchers with similar productivity patterns are connected, we identify constant, u-shaped, decreasing, periodic-like, increasing, and canonical productivity patterns, with the latter two describing almost three-fourths of researchers. In fact, we find that canonical curves are the most prevalent, but contrary to expectations, productivity peaks occur much more frequently around midcareer rather than early. These results outline the boundaries of possible career paths in science and caution against the adoption of stereotypes in tenure and funding decisions.
Ključne besede: scientific networks, research career, social physics, universality
Objavljeno v DKUM: 13.09.2024; Ogledov: 38; Prenosov: 11
Celotno besedilo (1,60 MB)
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Opis: Environmental protection and sustainable development have become an inevitable trend in many areas, including the energy industry. The development of energy supply networks is strongly correlated with the economics of energy sources as well as ecological and socio-political issues. However, the energy supply network is often distant from the social perspective. This paper therefore combines examination of perceptions and awareness of general public (web-based questionnaire) and top energy experts (a Delphi survey) on the energy supply network and identifies their potential integration in energy supply decision making processes. The results showed that public should be better informed as well as integrated into designing energy supply network as the prosumers gain power and the energy suppliers will no longer dominate the market. Public actors are ready to shape sustainable energy supply and also willing to pay 5.8% more for a sustainable energy supply. The majority are prepared to invest in renewable energy supply network close to their place of residence. Another result is that the public is calling for a shift in priority towards more sustainable and socially friendlier energy supply rather than focusing mainly on the economic and technical perspectives.
Ključne besede: energy supply, supply networks, sustainable energy, public perception, social integration, supply chain management
Objavljeno v DKUM: 19.02.2024; Ogledov: 306; Prenosov: 30
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