Search the digital library catalog

Abstract: Artificial intelligence (AI) has found applications in enterprises′ production planning processes. However, a critical question remains: could AI replace human planners? We conducted a comparative analysis to evaluate the main task of planners in an intermittent process: planning the duration of production orders. Specifically, we analysed the results of a human planner using master data and those of an AI algorithm compared to the actual realisation. The case study was conducted in a large production company using a sample of production products and machines. We were able to confirm two of the three research questions (RQ1 and RQ3), while the results of the third question (RQ2) did not meet our expectations. The AI algorithms demonstrated significant improvement with each iteration. Despite this progress, it is still difficult to determine the exact threshold at which AI outperforms human planners due to the unpredictability of unexpected events. Even though AI significantly improves prediction accuracy, the inherent variability and incomplete input data pose a major challenge. As progress is made, robust data collection and management strategies need to be integrated to bridge the gap between the potential of AI and its practical application, fostering the symbiosis between human expertise and AI capabilities in production planning.
Keywords: artificial intelligence, machine learning, production processes, production planning, production scheduling
Published in DKUM: 04.12.2024; Views: 0; Downloads: 2
Full text (3,27 MB)
This document has many files! More...

Abstract: Organizacije so pod vedno večjim pritiskom napadov izsiljevalskih virusov. V napadih napadalci zašifrirajo podatke in sisteme organizacije. Uspešni napadi lahko ohromijo poslovanje organizacije za več tednov, poleg tega lahko povzročijo nepopravljivo škodo na informacijskih sistemih organizacij. Napadalci so za svoje napade finančno motivirani in posledično skoraj vedno iščejo odkupnino. Razmahnil se je poslovni model izsiljevalskih virusov kot storitve, kjer razvijalci viruse prodajajo zainteresiranim posameznikom in manjšim hekerskim grupam. Posledično število napadov in njihova škoda raste iz leta v leto. V diplomski nalogi preučujemo izsiljevalske viruse, njihovo delovanje, posledice in ekonomični model hekerskih skupin. Raziskujemo tudi, kako napadalci pridobijo dostope do sistemov. S pomočjo literature in analize primerov ugotavljamo, kaj je šlo narobe in prav v odmevnih incidentih. S tem želimo ugotoviti in priporočati dobre prakse organizacijam. Z uporabo orodja POWER BI Desktop analiziramo podatkovno bazo podjetja Comparitech, kjer so beležili potrjene napade z izsiljevalskimi virusi od leta 2018 naprej do prvega tedna avgusta 2024. Cilj naloge je ugotoviti, kako naj se organizacije pripravijo in reagirajo na grožnje izsiljevalskih virusov.
Keywords: izsiljevalski virusi, socialni inženiring, varnostni incidenti, napadi, organizacije
Published in DKUM: 04.10.2024; Views: 0; Downloads: 11
Full text (1,74 MB)

Abstract: This study examines the effects of COVID-19-related measures on the mathematics achievement of university students in social sciences in Slovenia. Our particular concern was to compare two student populations (pre-pandemic and pandemic) in terms of factors affecting student performance in mathematics courses. Data were collected over nine consecutive academic years (from 2013–2014 to 2020–2021) and analyzed using two-stage structural equation modelling (SEM). The analyses confirmed that the conceptual model developed before the pandemic was applicable during the pandemic period. For both populations (pre-pandemic and pandemic), mathematics confidence, perceived level of math anxiety, background knowledge from secondary school, and self-engagement in mathematics courses at university were confirmed as factors influencing mathematics achievement. Moreover, both populations perceived the effects of the factors in the same way, and the magnitude of the effects is comparable. The rather high values of determination coefficient for mathematics achievement (greater than 0.66 for both student populations) indicate that the variables “Perceived Level of Math Anxiety” and “Self-Engagement in Mathematics Course at University” together explain a significant proportion of the total variance before and during the pandemic. Consequently, the results of our case study indicated that pandemic measures did not have a significant impact on our students’ mathematics achievement. Although a more in-depth study of a broader sample of academic courses would be needed to confirm our findings, our experience indicates that mathematics courses at the tertiary level of education can be successfully delivered online.
Keywords: COVID-19, mathematics achievement, university students, social sciences, pre-pandemic population, pandemic population, comparison, multi-group structural equation modeling (MG-SEM)
Published in DKUM: 09.07.2024; Views: 112; Downloads: 9
Full text (1,64 MB)
This document has many files! More...

Keywords: radiofrekvenčno označevanje, RFID, varnost, zasebnost, poslovni proces
Published in DKUM: 30.05.2024; Views: 107; Downloads: 8
Full text (902,86 KB)

Abstract: The 43rd International Scientific Conference on the Development of Organisational Science was held in Portorož from the 20th to the 22nd of March 2024. The main aim of the conference was to promote the importance of knowledge in the context of green and digital transtition of organizations, through academic and scientific debates and professional developments from the economic and non-economic worlds. The conference, which was held under the umbrella title " Green and Digital Transition - Challenge or Opportunity", aimed to highlight the importance of the green and digital transition for the successful achievement of organisational objectives and the appropriate overcoming of societal challenges. The objectives pursued in this context are related to the natural dimensions on the one hand, and to stimulating the economy through green technology, sustainable development and pollution reduction on the other. The green and digital transition is also an opportunity for organisations to make changes towards overarching environmental challenges. It is undoubtedly more important than ever to take decisions that generate synergies between innovation, different sciences, and applied approaches, and to promote changes in business models that will lead to a sustainable and socially responsible development environment. In Portorož, we have reconnected opinions, views, and scientific and professional debates that will stimulate all of us to act in the future, both in organizations and in society at large.
Keywords: organization, knowledge, interdisciplinarity, science, economy
Published in DKUM: 22.03.2024; Views: 456; Downloads: 99
Full text (21,17 MB)
This document has many files! More...