1. 44th International Conference on Organizational Science Development : Human Being, Artificial Intelligence and Organization, Conference Proceedings2025, zbornik recenziranih znanstvenih prispevkov na mednarodni ali tuji konferenci Opis: The 44th International Scientific Conference on the Development of Organisational Science was focused on developing and advancing knowledge in the organisational sciences, with a focus on the contemporary challenges and opportunities of our time. On the one hand, it is humans who have woven the knowledge of organisations and will continue to enrich the knowledge of organisations in the future. On the other hand, we need to take into account the situational factors and the wider environment that are intrinsic to understanding organisations. The title of this year's conference is: Human being, Artificial Intelligence and the Organisation. The society we live in today is going through a period of great change in various areas of our lives. Although our pace sometimes stops, the forces of the environment do not. The pace of change often no longer surprises us. But the pillars of our action, the achievements of human society, are something of which we can be justly proud. Artificial intelligence is one of the forces that has entered our everyday lives in many places in recent times. Where are the opportunities and where are the dangers of artificial intelligence, where is human intelligence still a significant step ahead of artificial intelligence?
Ključne besede: organization, human being, artificial intelligence, changes, organizational development
Objavljeno v DKUM: 20.03.2025; Ogledov: 0; Prenosov: 20
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2. Automatic classification of older electronic texts into the Universal Decimal Classification-UDCMatjaž Kragelj, Mirjana Kljajić Borštnar, 2021, izvirni znanstveni članek Opis: Purpose:The purpose of this study is to develop a model for automated classification of old digitised texts to the Universal Decimal Classification (UDC), using machine-learning methods.
Design/methodology/approach: The general research approach is inherent to design science research, in which the problem of UDC assignment of the old, digitised texts is addressed by developing a machine-learning classification model. A corpus of 70,000 scholarly texts, fully bibliographically processed by librarians, was used to train and test the model, which was used for classification of old texts on a corpus of 200,000 items. Human experts evaluated the performance of the model.
Findings: Results suggest that machine-learning models can correctly assign the UDC at some level for almost any scholarly text. Furthermore, the model can be recommended for the UDC assignment of older texts. Ten librarians corroborated this on 150 randomly selected texts.
Research limitations/implications: The main limitations of this study were unavailability of labelled older texts and the limited availability of librarians.
Practical implications: The classification model can provide a recommendation to the librarians during their classification work; furthermore, it can be implemented as an add-on to full-text search in the library databases.
Social implications: The proposed methodology supports librarians by recommending UDC classifiers, thus saving time in their daily work. By automatically classifying older texts, digital libraries can provide a better user experience by enabling structured searches. These contribute to making knowledge more widely available and useable.
Originality/value: These findings contribute to the field of automated classification of bibliographical information with the usage of full texts, especially in cases in which the texts are old, unstructured and in which archaic language and vocabulary are used.
Ključne besede: digital library, artificial intelligence, machine learning, text classification, older texts, Universal Decimal Classification
Objavljeno v DKUM: 28.01.2025; Ogledov: 0; Prenosov: 5
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3. Deep learning predictive models for terminal call rate prediction during the warranty periodAljaž Ferencek, Davorin Kofjač, Andrej Škraba, Blaž Sašek, Mirjana Kljajić Borštnar, 2020, izvirni znanstveni članek Opis: Background: This paper addresses the problem of products’ terminal call rate (TCR) prediction during the warranty period. TCR refers to the information on the amount of funds to be reserved for product repairs during the warranty period. So far, various methods have been used to address this problem, from discrete event simulation and time series, to machine learning predictive models.
Objectives: In this paper, we address the above named problem by applying deep learning models to predict terminal call rate.
Methods/Approach: We have developed a series of deep learning models on a data set obtained from a manufacturer of home appliances, and we have analysed their quality and performance.
Results: Results showed that a deep neural network with 6 layers and a convolutional neural network gave the best results.
Conclusions: This paper suggests that deep learning is an approach worth exploring further, however, with the disadvantage being that it requires large volumes of quality data.
Ključne besede: manufacturing, product lifecycle, management product failure, machine learning, prediction
Objavljeno v DKUM: 21.01.2025; Ogledov: 0; Prenosov: 3
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4. Multi-attribute assessment of digital maturity of SMEsMirjana Kljajić Borštnar, Andreja Pucihar, 2021, izvirni znanstveni članek Opis: Small and medium-sized enterprises (SMEs) need to keep pace with large enterprises, thus they need to digitally transform. Since they usually lack resources (budget, knowledge, and time) many countries have their support environment to help SMEs in this endeavor. To be able to ensure the right kinds of support, it is crucial to assess the digital maturity of an enterprise. There are many models and assessment tools for digital maturity, however, they are either theoretical models, partial, vendor oriented, or suited for large enterprises. In this paper, we address the problem of assessing digital maturity for SMEs. For this purpose, we developed a multi-attribute model for assessment of the digital maturity of an SME. We followed the design science research approach, where the multi-attribute model is considered as an IT artifact. Within the design cycle, the decision expert (DEX) methodology of a broader multi-attribute decision making methodologies was applied. The developed model was validated by a group of experts and upgraded according to their feedback and finally evaluated on seven real-life cases. Results show that the model can be used in real business situations.
Ključne besede: digital transformation, digital maturity assessment, multi-attribute model, small and medium-sized enterprises
Objavljeno v DKUM: 07.08.2024; Ogledov: 108; Prenosov: 20
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5. Categorisation of open government data literatureAljaž Ferencek, Mirjana Kljajić Borštnar, Ajda Pretnar Žagar, 2022, pregledni znanstveni članek Opis: Background: Due to the emerging global interest in Open Government Data, research papers on various topics in this area have increased.
Objectives: This paper aims to categorise Open government data research.
Methods/Approach: A literature review was conducted to provide a complete overview and classification of open government data research. Hierarchical clustering, a cluster analysis method, was used, and a hierarchy of clusters on selected data sets emerged.
Results: The results of this study suggest that there are two distinct clusters of research, which either focus on government perspectives and policies on OGD, initiatives, and portals or focus on regional studies, adoption of OGD, platforms, and barriers to implementation. Further findings suggest that research gaps could be segmented into many thematic areas, focusing on success factors, best practices, the impact of open government data, barriers/challenges in implementing open government data, etc.
Conclusions: The extension of the paper, which was first presented at the Entrenova conference, provides a comprehensive overview of research to date on the implementation of OGD and points out that this topic has already received research attention, which focuses on specific segments of the phenomenon and signifies in which direction new research should be made.
Ključne besede: open government data, open government data research, hierarchical clustering, OGD classification, OGD literature overview
Objavljeno v DKUM: 12.06.2024; Ogledov: 134; Prenosov: 11
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6. 37th Bled eConference - Resilience Through Digital Innovation: Enabling the Twin Transition : June 9 – 12, 2024, Bled, Slovenia, Conference Proceedin2024, zbornik Opis: The Bled eConference, organised by the University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interactions since 1988. The theme of the 37th conference is "Resilience through digital innovation: enabling the twin transition". The theme addresses the critical convergence of digital transformation and sustainability, in line with the European Commission’s top priorities and policy initiatives. At the conference, we aim to highlight the opportunities of digital technologies that can contribute to building organisational and societal resilience, with a focus on social and environmental goals. The papers in this conference proceedings explore a range of topics including the opportunities and challenges of the twin transition, emerging technologies, artificial intelligence and data science, decision analytics for business and societal changes, digital innovation and business models, restructured work and the future workplace, digital health, digital ethics, digital education, smart sustainable cities, digital consumers, and the digital transformation of the public sector.
Ključne besede: resilience, digital transformation, innovation, twin transition, sustainability, digital transition, green transition
Objavljeno v DKUM: 28.05.2024; Ogledov: 337; Prenosov: 88
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7. 43rd International Conference on Organizational Science Development: Green and Digital Transition – Challenge or Opportunity : Conference Proceedings2024, zbornik recenziranih znanstvenih prispevkov na mednarodni ali tuji konferenci Opis: 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.
Ključne besede: organization, knowledge, interdisciplinarity, science, economy
Objavljeno v DKUM: 22.03.2024; Ogledov: 456; Prenosov: 109
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8. 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability : June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings, Second Edition2023, zbornik Opis: The Bled eConference, organised by the University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interactions since 1988. The theme of the 36th conference is "Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability". In times of instability, which include political, economic, resource, health, and environmental challenges on the one hand, and technological disruption on the other, it is critical to ensure that digital innovation continues to lead to the right and sustainable solutions that are tailored to the needs of all people, enterprises and society. It is very important to keep in mind the protection of our planet, including fauna and flora. These efforts include adopting appropriate regulatory frameworks, fostering digital literacy and skills development, promoting inclusive access to digital technologies, and addressing the ethical, social and environmental implications of digital transformation. The papers in this conference proceedings address digital transformation of enterprises, artificial intelligence and data science solutions, decision analytics for business and societal challenges, new, digital and data driven business models, digital consumer, digital education, digital health, digital ethics, restructured work and solutions for smart and sustainable cities. We continue to provide an open forum for academia, including students, industry, and policy makers where everyone can contribute to creating a better world.
Ključne besede: digital economy, digital society, digital transformation, digital innovation, instability, balancing
Objavljeno v DKUM: 12.12.2023; Ogledov: 472; Prenosov: 72
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9. 36th Bled eConference – Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability : June 25 – 28, 2023, Bled, Slovenia, Conference Proceedings2023 Opis: The Bled eConference, organised by the University of Maribor, Faculty of Organizational Sciences, has been shaping electronic interactions since 1988. The theme of the 36th conference is "Digital Economy and Society: The Balancing Act for Digital Innovation in Times of Instability". In times of instability, which include political, economic, resource, health, and environmental challenges on the one hand, and technological disruption on the other, it is critical to ensure that digital innovation continues to lead to the right and sustainable solutions that are tailored to the needs of all people, enterprises and society. It is very important to keep in mind the protection of our planet, including fauna and flora. These efforts include adopting appropriate regulatory frameworks, fostering digital literacy and skills development, promoting inclusive access to digital technologies, and addressing the ethical, social and environmental implications of digital transformation. The papers in this conference proceedings address digital transformation of enterprises, artificial intelligence and data science solutions, decision analytics for business and societal challenges, new, digital and data driven business models, digital consumer, digital education, digital health, digital ethics, restructured work and solutions for smart and sustainable cities. We continue to provide an open forum for academia, including students, industry, and policy makers where everyone can contribute to creating a better world.
Ključne besede: digital transformation, digital business, digital technologijes, innovations, digitalization, sustainable development, smart and sustainable cities and societies, digital health, artificial intelligence and data science, digital ethics, digital education, restructured work, digital consumer, smart and sustainable cities
Objavljeno v DKUM: 26.06.2023; Ogledov: 664; Prenosov: 216
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10. Znanstveno-raziskovalni izzivi na poti digitalne preobrazbe2022, zbornik Opis: Digitalna preobrazba se nanaša na uporabo digitalnih tehnologij za poenostavitev poslovanja, povečanje učinkovitosti, inoviranje proizvodov in storitev, prilagajanje potrebam strank, spreminjanje načinov dela in povezovanja znotraj in med organizacijami. Ima širši vpliv, zato je pomembno, da jo obravnavamo celovito (z vidika ekonomije, družbe in okolja). V monografiji predstavljamo teme s področja digitalne preobrazbe, ki bodo organizacijam in posameznikom v tem procesu v pomoč pri lažjem prehodu v digitalno poslovanje. V prispevkih opisujemo merjenje digitalne in podatkovne zrelosti v malih in srednje velikih podjetjih, analizo vpliva digitalnih tehnologij na elemente poslovnega modela, vpliv digitalne probrazbe na posameznika in družbo na problemu tehnologije podkožnih mikročipov ter spremembe obnašanja potrošnikov. Sledijo prispevki o uporabi tehnologije veriženja podatkovnih blokov in pregled raziskav na področju interneta stvari in kiberfizičnih sistemov, metodologija za obravnavo strateške usklajenosti med poslovnim delom podjetij in informacijsko tehnologijo ter pristop Essence, ki povezuje standarde kakovosti programske opreme in inženiring programske opreme.
Ključne besede: digitalna preobrazba, informacijski sistemi, raziskovalni trendi, organizacijske vede, poslovni sistemi
Objavljeno v DKUM: 23.08.2022; Ogledov: 15397; Prenosov: 161
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