1. An integrated PLS-SEM-TOPSIS-Sort approach for assessing ERP solutions acceptance across various industriesAleksandra Radić, Samo Bobek, Sanela Arsić, Đorđe Nikolić, Simona Sternad Zabukovšek, 2025, original scientific article Abstract: In the context of accelerated digitalization, enterprises are increasingly adopting information-driven solutions to support managerial decision-making, with Enterprise Resource Planning (ERP) systems playing a crucial role in organizational development. Despite its importance, ERP adoption varies significantly across industries, particularly between developed and developing economies, where technological and structural differences persist. This paper proposes and validates a classification framework for assessing industry readiness for ERP adoption, based on an integrated PLS-SEM-MCDA methodological approach. PLS-SEM identified statistically significant factors and transformed them into weights to compare ERP user attitudes across eleven industries in Serbia and Slovenia. In addition, the TOPSIS-Sort method classified industries into high, moderate, and low readiness as predefined order classes. Finally, sensitivity analysis and comparative analysis are performed with AHP expert weights and the PROMETHEE-FlowSort method to determine the robustness of the PLS-SEM-TOPSIS-Sort results. The results show that the IT industry is the most consistent in adopting ERP systems. In contrast, other industries exhibit varying levels of readiness, depending on their degree of digital maturity and organizational preparedness. The proposed framework’s methodological flexibility allows it to be adapted to various contexts, making it suitable for future academic research and comparative studies. Additionally, the practical implications of the research are twofold. For ERP suppliers, the findings provide guidance on how to approach market segmentation and strategic positioning tailored to the specific needs of individual industries. For ERP users, their success in ERP adoption can be amplified by using the research insights as a benchmarking model.
Keywords: ERP system, industries, PLS-SEM, TOPSIS-Sort, PROMETHEE-FlowSort
Published in DKUM: 02.12.2025; Views: 0; Downloads: 1
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3. Zelena digitalna transformacijaAmar Nuhbegović, 2025, master's thesis Abstract: Magistrsko delo obravnava preplet digitalne transformacije in trajnostnega razvoja podjetij, pri čemer je poseben poudarek namenjen konceptu zelene digitalne transformacije. Z izhodiščem, da digitalna transformacija v sodobnem poslovnem okolju ni več izbira, temveč nujnost, delo raziskuje, kako lahko podjetja z uporabo naprednih digitalnih tehnologij, kot so umetna inteligenca, internet stvari, veliki podatki, robotika in digitalni dvojčki, izboljšajo svojo konkurenčnost, operativno učinkovitost in obenem prispevajo k trajnostnemu razvoju.
Delo raziskuje tudi vpliv digitalizacije na ESG-dimenzije ter izpostavi koristi in izzive, ki jih ta prehod prinaša – od zmanjšanja ogljičnega odtisa in boljše porabe virov do vprašanj, kot so digitalna neenakost, varnost podatkov in nastanek elektronskih odpadkov.
V sklopu raziskave so analizirani konkretni primeri podjetij, ki s pomočjo digitalnih rešitev uspešno uresničujejo trajnostne strategije in obenem gradijo svojo vlogo kot družbeno odgovorni akterji z večjo prepoznavnostjo na trgu. Ugotovitve potrjujejo, da lahko digitalna transformacija deluje kot ključen pospeševalec trajnostnega razvoja, kadar temelji na premišljenem, strateškem pristopu, odgovornem vodenju in dolgoročni viziji. Vse postavljene raziskovalne hipoteze so bile potrjene, saj rezultati kažejo na močno povezavo med uspešno digitalizacijo, odgovornim poslovanjem in pozitivnim vplivom na trajnostne cilje podjetij.
Magistrsko delo s tem prispeva k boljšemu razumevanju pomena celovite digitalne in trajnostne transformacije ter osvetljuje, kako lahko podjetja s premišljenim povezovanjem teh dveh področij ne le izboljšajo svojo učinkovitost, temveč tudi okrepijo svoj ugled in družbeni vpliv v smeri dolgoročne trajnosti.
Keywords: digitalna transformacija, digitalizacija, trajnostni razvoj, krožna ekonomija, družbena odgovornost, okolje, industrija 4.0
Published in DKUM: 03.09.2025; Views: 0; Downloads: 20
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4. Customer perception of technologies for new-generation web shops – preliminary study : XIV.Tamara Križnjak, Simona Sternad Zabukovšek, Samo Bobek, 2025, independent scientific component part or a chapter in a monograph Abstract: This paper investigates emerging technological trends in web commerce and examines user perceptions through a pilot survey. Key innovations include IoT, AI, ML, chatbots, social and voice commerce, as well as immersive technologies like AR and VR. These tools enhance personalization, automate services, and support better consumer decision-making. The pilot study, based on an online questionnaire, explores user behaviour, expectations, and attitudes toward these developments. Results show that while users are familiar with technologies like chatbots and personalization, awareness of AR and VR remains low. Concerns about security and data privacy significantly influence user trust. The findings highlight the need for seamless technological integration, increased user education, and transparent communication to build trust and improve the digital shopping experience.
Keywords: web commerce, e-commerce trends, internet of things (IoT), artificial intelligence (AI), machine learning (ML), chatbots, augmented reality (AR), virtual reality (VR), voice commerce, user perception, digital transformation, data privacy
Published in DKUM: 29.08.2025; Views: 0; Downloads: 7
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5. Blockchain technology implementation for traceability in the food supply chain – case research : XIII.Marina Balaic, Samo Bobek, Vujica Lazović, Simona Sternad Zabukovšek, 2025, independent scientific component part or a chapter in a monograph Abstract: Food supply chains are evolving into coordinated systems, prompting competition between companies and entire supply networks. In this context, Short Food Supply Chains (SFSCs) have emerged as a response to public concerns about food sourcing and handling. Defined by the EU as systems involving few economic actors committed to local development and close producer-consumer relations, SFSCs present both opportunities and challenges. Among key challenges are identity management, transparency, and security. Blockchain technology, introduced shortly after SFSCs gained attention, offers promising solutions by enhancing traceability and linking product information with physical flows. This chapter explores the role of blockchain in addressing traceability challenges and presents a practical case of its application in SFSCs.
Keywords: agribusiness supply chains, short food supply chains, traceability technologies, blockchain technology, implementing blockchain in the food supply chain
Published in DKUM: 29.08.2025; Views: 0; Downloads: 11
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6. Perception of document management systems in digital transformation : VIII.Sandra Jordan, Samo Bobek, Simona Sternad Zabukovšek, 2025, independent scientific component part or a chapter in a monograph Abstract: Document Management Systems (DMS) are essential tools for managing organisational information throughout its lifecycle. Despite increasing adoption, many DMS implementations fail to deliver the expected value due to inadequate attention to Critical Success Factors (CSFs). This monograph investigates the impact of selected CSFs—such as top management support, process orientation, and organisational culture—on different phases of the DMS lifecycle: selection, implementation, and usage. Drawing on the ITIL framework and lifecycle-based thinking, the study employs a quantitative methodology using PLS-SEM on data collected from Slovenian organisations. The results show that CSFs vary in importance across lifecycle stages, highlighting the need for dynamic, phase-specific implementation strategies. The findings contribute to theory by integrating CSFs with DMS lifecycle management and provide actionable insights for practitioners seeking to optimise DMS adoption and performance.
Keywords: document management systems (DMS), critical success factors (CSFs), information systems lifecycle, ITIL, system implementation, PLS-SEM, organisational change
Published in DKUM: 29.08.2025; Views: 0; Downloads: 8
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7. Aligning business solutions and business requirements for digital transformation – case research : V.Uroš Zabukovšek, Simona Sternad Zabukovšek, Samo Bobek, 2025, independent scientific component part or a chapter in a monograph Abstract: This study explores how Business and IT Alignment (BITA) influences business performance (PERFO) and corporate sustainability (SPACS) using a mixed-methods case study of an international manufacturing enterprise. The quantitative analysis (PLS-SEM) indicated BITA affects PERFO indirectly through IT service quality (ITSQ), while remote work (EWORK), despite its relation to BITA, showed no significant impact. BITA strongly predicted SPACS by enhancing employees’ sustainability knowledge, confidence, and willingness to act. Qualitative findings from semi-structured interviews revealed a BITA maturity of 3.3 (on a 5-point scale), highlighting its role in sustainability via better decision-making, process optimization, and IT-enabled transparency. Notable discrepancies between managerial and employee perceptions of BITA maturity were identified. Results suggest successful BITA fosters sustainability-oriented behaviour and IT-driven performance improvements, though continuous reinforcement within organizations is required. The study emphasizes the value of integrating qualitative and quantitative methods for comprehensive insights into BITA's impact.
Keywords: business and IT alignment (BITA), IT service quality (ITSQ), business performance (PERFO), corporate sustainability (SPACS), remote work (EWORK), mixed methods research (MMR), PLS-SEM, organizational maturity, sustainability awareness, case study
Published in DKUM: 29.08.2025; Views: 0; Downloads: 6
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8. Comparative Analysis of Digitalised Business Models : II.Samo Bobek, Vujica Lazović, Simona Sternad Zabukovšek, 2025, independent scientific component part or a chapter in a monograph Abstract: Digital business models are a key component of digital transformation. Understanding these models is essential for operating successfully in the digital economy. A business model defines the value proposition, cost structure, financing sources, target audience, marketing strategy, and potential partnerships. Its primary purpose is to enable sustainable value delivery to customers. This paper uses the Business Model Canvas to analyse digitised business models, focusing on those based on recurring revenues (e.g., subscriptions, SaaS) and network effects (e.g., platforms, marketplaces). These models have fueled the growth of many digital enterprises. As emerging technologies reshape consumer expectations, companies must rethink how they create and deliver value in a constantly evolving digital environment.
Keywords: digitalised business models, digital transformation, platform business model, blockchain business model, freemium business model, Saas business model, Crowdsourcing business model, aggregator business model, subscription business model
Published in DKUM: 29.08.2025; Views: 0; Downloads: 9
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10. Enhancing sustainability of e-learning with adoption of m-learning in business studiesSilvia Parusheva, Irena Šišovska Klančnik, Samo Bobek, Simona Sternad Zabukovšek, 2025, original scientific article Abstract: The rapid development of information technologies has significantly transformed education, making digital tools and e-learning platforms essential for modern learning processes. This research study examines mobile learning (m-learning) adoption among higher education students, emphasising the importance of user acceptance for implementing mobile technologies in education. Using a research model based on the UTAUT framework and analysed via PLS–SEM, the research study investigates business students’ behavioural intention to adopt m-learning platforms (in our case, Microsoft Teams), offering valuable insights into their efficacy and long-term viability, explicitly focusing on the use of mobile devices and the mobile version of the Microsoft Teams application for educational purposes. The study’s findings indicate that all four examined factors significantly influence students’ behavioural intention to adopt m-learning applications, with “performance expectancy” having the most substantial impact. The survey highlights the sustained importance of m-learning even after the pandemic. These results reinforce that students’ expectations of improved performance play a crucial role in adopting mobile apps for m-learning. The findings also suggest that increasing adoption rates requires improving system usability, minimising reliance on external support through intuitive design and training, and leveraging peer influence to enhance engagement in m-learning environments.
Keywords: e-learning platforms, m-learning platforms, MS Teams, UTAUT, adoption, PLS–SEM, multigroup analysis
Published in DKUM: 09.07.2025; Views: 0; Downloads: 4
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