Iskanje po repozitoriju

Ključne besede: music preferences, Big Five, song lyrics, machine learning, correlation analysis, final project papers
Objavljeno v RUP: 05.08.2026; Ogledov: 114; Prenosov: 6
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Opis: Lean manufacturing is widely recognized as an operational philosophy of process improvement; however, its relationship with financial performance remains relatively underexplored empirically. The purpose of this study is to examine the relationship between lean manufacturing and return on equity (ROE), and to link operational improvements with financial outcomes through the DuPont model. The research comprises a comparative financial analysis of a selected manufacturing company for the period 2019–2023, as well as a quantitative analysis of a sample of 240 Slovenian manufacturing enterprises. Descriptive statistical methods, correlation analysis, and linear regression with a composite lean maturity index were employed. The results indicate that ROE in the analyzed company increased from 4.74% to 11.99%, with growth primarily driven by improvements in net profit margin and process efficiency rather than by increased financial leverage. The empirical analysis demonstrates a statistically significant positive association between the level of lean maturity and ROE (β = 0.255; R² = 0.065; p < 0.001; N = 240). Although the explained variance is moderate, the findings indicate that lean maturity represents a statistically significant and managerially relevant determinant of financial performance within a multifactor business environment. The contribution of the study lies in the integration of the Lean approach with the DuPont model as an analytical bridge between production and financial functions, as well as in the empirical validation of this relationship within the Slovenian industrial context.
Ključne besede: return on equit, DuPont analysis, operational efficiency, productivity, lean manufacturing, Toyota Way
Objavljeno v RUP: 07.07.2026; Ogledov: 232; Prenosov: 9
Celotno besedilo (721,99 KB)
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Opis: Recently, there has been a growing interest in scenarios that employ a few (imbalanced) power traces for deep learning based side-channel analysis (DL-SCA). Finding a lightweight DL-SCA architecture that is more generalizable and faster to learn is of great importance when handling such situations. In this work, an initial analysis is conducted on the capability of learning and the susceptibility to attacks of prevalent DL-SCA models, focusing on cases that culminate in an unsuccessful attack. Subsequently, a meta-learning technique, known as prototypical networks, is delineated for the construction of a lightweight deep learning framework. In contrast to conventional DL-SCA models, the proposed architecture, designated as PN-SCA, does not predict the probability of a power trace belonging to an intermediate value in classification. Instead, it facilitates the learning of an encoder capable of embedding power consumption data within a latent space, while also establishing templates, or prototypes, for diverse categories. Moreover, we developed a metric that is specifically intended for the selection of hyperparameters due to the unique training phase of PN-SCA. Finally, four distinct scenarios are established with few (including one imbalanced) power traces to evaluate the correctness of our architecture. The results clearly illustrate the advantages of our PN-SCA in terms of generalization, reduced training costs (with a decrease in profiling traces by over 50%), and significantly enhanced attack effect (with a reduction of power traces requirements by over 90%), thus demonstrating notable improvements over existing methodologies
Ključne besede: side-channel analysis, deep learning based SCA, prototypical networks, few-shot learning
Objavljeno v RUP: 20.05.2026; Ogledov: 382; Prenosov: 11
Celotno besedilo (3,78 MB)
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Opis: Social innovation has emerged as a transformative paradigm as well as a potential solution for addressing complex societal challenges, be it from the issues of inequality, better living conditions, to climate change, and digitalisation. However, despite the growing academic as well as also political attention, its theoretical framing and institutional embedding remain fragmented. Universities, through their roles as knowledge producers, educators, and civic actors, hold one of the central and unique positions in shaping social innovation ecosystems. This article explores how universities can contribute to social innovation, what institutional and systemic barriers limit their engagement, and how they can strategically integrate social innovation within their missions. Combining bibliometric analysis and qualitative synthesis, this paper maps the evolution of research on this topic, identifies key conceptual trends, and outlines pathways for future orientations. The findings reveal that while universities act as important catalysts for societal transformation, their systemic impact remains constrained by structural and also political inertia. The paper concludes with recommendations on how to strengthen social innovation capacities of the universities roles and missions for social innovation.
Ključne besede: social innovation, universities, knowledge transfer, bibliometric analysis
Objavljeno v RUP: 11.03.2026; Ogledov: 567; Prenosov: 21
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Opis: Co-creation has gained increasing scholarly attention as an approach for involving tourists, residents, and stakeholders in shaping destination image. However, existing research is fragmented, lacking an integrated review of its conceptual foundations, thematic evolution, and implications. This study aims to address this gap by mapping the intellectual structure and emerging trends of co-creation and destination images. A bibliometric and thematic analysis was conducted on 72 peer-reviewed publications indexed in Scopus, using CiteSpace for co-citation and keyword co-occurrence mapping, complemented by Scopus AI for trend identification. The analysis revealed four thematic clusters: destination branding, stakeholder engagement, emotional experience, and digital interaction. Results demonstrate that co-creation operates as a multidimensional, layered process, enhancing emotional attachment, destination loyalty, and brand value, rather than a single experiential design activity. The study concludes that co-creation plays a structurally significant role in destination branding and stakeholder engagement, as demonstrated by the dominant clusters in the bibliometric and thematic analyses. By synthesising existing knowledge and identifying research gaps, this paper offers a comprehensive reference for academics and practitioners, reinforcing the relevance of co-creation in destination management.
Ključne besede: co-creation, destination image, bibliometric analysis, destination branding, CiteSpace
Objavljeno v RUP: 06.03.2026; Ogledov: 444; Prenosov: 29
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