1. The impact of information systems on project success in a hybrid work environment: evidence from the world's largest consulting firmMarko Samardzic, Teodora Vuckovic, Danijela Ciric Lalic, Iztok Palčič, Uglješa Marjanović, 2025, izvirni znanstveni članek Opis: This study investigated the impact of information systems (IS) success on Project Success (PS) within hybrid and remote work environments, drawing empirical evidence from the world's largest consulting firm. By integrating the DeLone and McLean IS success model with established PS frameworks, the research examined how IS components—system quality, user satisfaction, and use/ intent to use—influence key PS dimensions: project management success, impact on the team, impact on the customer, and project investment success. Data from 198 employees were analyzed using structural equation modeling, confirming all hypothesized relationships. Results revealed that IS net benefits significantly enhance PS across all dimensions, while system quality and user satisfaction further drive IS effectiveness. The study underscores the critical role of robust digital infrastructure in optimizing project outcomes, offering theoretical insights and practical recommendations for organizations navigating hybrid work models. Limitations and future research directions are also discussed. Ključne besede: hybrid work environment, DeLone and McLean model, structural equation modeling, remote work, digital transformation, system quality, user satisfaction, net benefits, project management Objavljeno v DKUM: 03.11.2025; Ogledov: 0; Prenosov: 6
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2. Comparative Analysis of Digitalised Business Models : II.Samo Bobek, Vujica Lazović, Simona Sternad Zabukovšek, 2025, samostojni znanstveni sestavek ali poglavje v monografski publikaciji Opis: 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. Ključne besede: 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 Objavljeno v DKUM: 29.08.2025; Ogledov: 0; Prenosov: 9
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3. Digital transformation and business model innovation: enhancing productivity in the Croatian maritime transport sectorMarija Jović Mihanović, Saša Aksentijević, Edvard Tijan, Gregor Lenart, 2025, izvirni znanstveni članek Opis: This research investigates how business model changes induced by digital transformation impact productivity within the maritime transport sector in Croatia. Given the
limited existing literature addressing digital transformation’s productivity implications,
specifically in maritime contexts, this study aims to identify and analyze key mediating factors. An online survey conducted among Croatian maritime transport stakeholders resulted in 82 valid responses, which were statistically analyzed using descriptive
statistics, Spearman’s correlation, and principal component analysis (PCA). The study
identifies two primary dimensions of business model changes—innovation and process
digitalization—that significantly correlate with increased productivity. Key influencing
factors include the digitalization of internal and external business processes, development
of new digital revenue streams, introduction of innovative services, and novel pricing
models. Results underscore the importance of targeted digital transformation initiatives
and serve as a valuable reference for maritime transport stakeholders, aiming to enhance
their productivity and competitiveness through digital innovation.
Ključne besede: digital transformation, maritime transport, productivity, business model innovation, process digitalization, Croatia, principal component analysis Objavljeno v DKUM: 26.08.2025; Ogledov: 0; Prenosov: 4
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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: 28
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5. Application of metamodel inference with large-scale metamodelsQichao Liu, Jeffrey G. Gray, Marjan Mernik, Barrett Richard Bryant, 2012, izvirni znanstveni članek Ključne besede: model-driven engineering, reverse engineering, gramar inference, metamodel inference, model co-evolution, model transformation Objavljeno v DKUM: 01.06.2012; Ogledov: 1618; Prenosov: 25
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6. Model transformations require formal semanticsYu Sun, Zekai Demirezen, Tomaž Lukman, Marjan Mernik, Jeffrey G. Gray, 2008, objavljeni znanstveni prispevek na konferenci Opis: Despite the increasing interest in model-driven engineering, there are many open issues that need to be addressed to advance the technology and promote its adoption. This position paper outlines several current limitations of model transformation, with a specific emphasis on model optimization. A primary shortcoming that can be found in many model transformation approaches and tools is the lack of formal semantics to define the meaning of a modeling abstraction. This inadequacy is the source of many problems surrounding the practice of model engineering. Ključne besede: domain-specific languages, program transformation, model transformation, model-driven engineering, modeling language Objavljeno v DKUM: 31.05.2012; Ogledov: 2177; Prenosov: 47
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