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. Uporaba metod strojnega učenja za klasifikacijo nalog po prioritetah v IT projektihTatyana Unuchak, Mirjana Kljajić Borštnar, Yauhen Unuchak, 2025, izvirni znanstveni članek Opis: Določanje prioritet in razvrščanje nalog še vedno predstavlja izziv pri učinkovitem vodenju projektov. Obstaja veliko klasičnih pristopov
za določanje prioritet. Vendar so te tehnike delovno intenzivne, subjektivne in neprilagodljive. V prispevku obravnavamo pristope za
samodejno določanje prioritet nalog v IT projektih, ki temeljijo na strojnem učenju. Raziskujemo, kako lahko z uporabo metod strojnega učenja pomagamo projektnim vodjem pri učinkovitejšem razvrščanju nalog v IT projektih. V ta namen smo na množici več kot
1000000 zapisov projektnih nalog razvili klasifikacijski model za samodejno določanje prioritet. Problem, ki smo ga obravnavali, je
večrazredni, pri tem je večina primerov, označenih z najvišjo prioriteto, kar predstavlja izziv pri modeliranju kot tudi pri učinkovitosti
upravljanja IT projektov. Preskusili smo različne algoritme ter različne pristope, s ciljem izboljšanja rezultatov klasifikacije. Pokazali
smo, da je naloge smiselno razvrstiti v manjše skupine prioritet, kar prispeva k večji natančnosti klasifikacijskega modela in preglednosti prioritet nalog, slednje pa lahko olajša upravljanje IT projektov.
Ključne besede: IT project management, machine learning, task prioritization, multiclass classification, data imbalance
Objavljeno v DKUM: 28.08.2025; Ogledov: 0; Prenosov: 3
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3. Impact of airport ownership forms on passenger terminal construction projects : developing a robust assessment modelRobert Rauch, Igor Vrečko, Damijan Mumel, 2025, izvirni znanstveni članek Opis: The purpose of this research paper is to develop a comprehensive assessment model to examine how different forms of airport ownership affect the design and construction of airport passenger terminals. The study emphasises the development and justification of the research framework through an extensive literature review and theoretical foundation. The significance of this research lies in the need for a thorough understanding of the relationship between airport ownership forms and the execution of passenger terminal projects. The literature review identifies gaps in existing research and underscores the necessity of a new research framework. The chosen research approach, which includes interviews and case studies, is carefully justified. The paper systematically outlines the key elements of the research framework, linking them to relevant literature and theoretical concepts. By providing a step-by-step development of the research framework, this paper lays the groundwork for future investigations in this area. The conclusion summarises the key points presented in the article and emphasises the importance of the developed research framework in guiding further research efforts.
Ključne besede: airport, ownership, passenger terminal, construction, project management
Objavljeno v DKUM: 02.07.2025; Ogledov: 0; Prenosov: 2
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4. Statistically significant differences in AI support levels for project management between SMEs and large enterprisesPolona Tominc, Dijana Oreški, Vesna Čančer, Maja Rožman, 2024, izvirni znanstveni članek Opis: Background: This article delves into an in-depth analysis of the statistically significant differences in AI support levels for project management between SMEs and large enterprises. The research was conducted based on a comprehensive survey encompassing a sample of 473 SMEs and large Slovenian enterprises.
Methods: To validate the observed differences, statistical analysis, specifically the Mann–Whitney U test, was employed.
Results: The results confirm the presence of statistically significant differences between SMEs and large enterprises across multiple dimensions of AI support in project management. Large enterprises exhibit on average a higher level of AI adoption across all five AI utilization dimensions. Specifically, large enterprises scored significantly higher (p < 0.05) in AI adopting strategies and in adopting AI technologies for project tasks and team creation. This study’s findings also underscored the significant differences (p < 0.05) between SMEs and large enterprises in their adoption and utilization of AI technologies for project management purposes. While large enterprises scored above 4 for several dimensions, with the highest average score assessed (mean value 4.46 on 1 to 5 scale) for the usage of predictive Analytics Tools to improve the work on the project, SMEs’ average levels, on the other hand, were all below 4. SMEs in particular may lag in incorporating AI into various project activities due to several factors such as resource constraints, limited access to AI expertise, or risk aversion.
Conclusions: The results underscore the need for targeted strategies to enhance AI adoption in SMEs and leverage its benefits for successful project implementation and strengthen the company’s competitiveness.
Ključne besede: enterprises, project management, leadership, artificial intelligence
Objavljeno v DKUM: 04.04.2025; Ogledov: 0; Prenosov: 7
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5. The relation between project team conflict and user resistance in software projectsSimon Vrhovec, Blaž Markelj, 2021, izvirni znanstveni članek Opis: This study aims to explore the relation between conflict in the project team and user resistance to change in software projects. Following a cross-sectional research design, a survey was conducted among 1,000 largest companies in Slovenia (N = 114). The results of PLSSEM analysis indicate that task and process conflicts in the project team are associated with user resistance. This study is among the first to associate conflict within the project team and user resistance in the implementing organization. It is also one of the first studies to investigate the relations between different types of conflict and user resistance. Project managers may invest resources into adequately managing conflicts within the project team related to tasks in which the project team interacts with users of developed software to lower user resistance. Project with poorly defined roles (e.g., agile and information security projects) may be more prone to user resistance than projects with clearly defined roles.
Ključne besede: project management, software project, relationship conflict, task conflict, process conflict, resistance to change
Objavljeno v DKUM: 11.12.2024; Ogledov: 0; Prenosov: 8
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6. Webinar: Data Management and EthicsMilan Ojsteršek, Matjaž Divjak, 2024, znanstveni film, znanstvena zvočna ali video publikacija Opis: Video recording and presentation slides of a lecture by Milan Ojsteršek and Matjaž Divjak for the HybridNeuro webinar "Data Management and Ethics", which was held online on April 8th 2024 at Faculty of Electrical Engineering and Computer Science, University of Maribor, Slovenia.
More info including additional materials (slides, example dataset): https://www.hybridneuro.feri.um.si/webinars/data_management_and_ethics.html
The HybridNeuro project combines the expertise of leading European partners in the field of Neural Interfaces to set up new pathways of analyzing human motor system and human movements and transfer the academic research into clinical and industrial practice. Link: https://www.hybridneuro.feri.um.si/
This project has received funding from the Horizon Europe Research and Innovation Programme under GA No. 101079392, as well as UK Research and Innovation organisation (GA No. 10052152).
This video is available under the Creative Commons Attribution 4.0 International licence (CC BY 4.0, https://creativecommons.org/licenses/by/4.0/).
Ključne besede: HybridNeuro project, webinar, presentation, data management, data annotation, open science, open access, data repository, FAIR data, metadata
Objavljeno v DKUM: 09.05.2024; Ogledov: 201; Prenosov: 8
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7. Artificial intelligence and agility-based model for successful project implementation and company competitivenessPolona Tominc, Dijana Oreški, Maja Rožman, 2023, izvirni znanstveni članek Opis: The purpose of the paper is to present a model of factors affecting the successful project implementation by introducing agility and artificial intelligence to increase the company’s competitiveness. In the model, the multidimensional constructs describing the implementation of an agile work environment and artificial intelligence technologies and tools were developed. These multidimensional constructs are agile work environment, agile leadership, agile team skills and capabilities, improving the work of the leader in the project, adopting AI technologies in the project, and using AI solutions in a project. Their impact on successful project implementation and on the company competitiveness was tested. The fundamental reason for conducting this research and developing the model is to enhance the understanding of factors that contribute to the successful implementation of projects and to increase a company’s competitiveness. Our developed model encompasses multidimensional constructs that describe the agile work environment and the utilization of AI technologies. By examining the impact of these constructs on both successful project implementation and company competitiveness, we aimed to establish a comprehensive framework that captures the relationship between agility, AI, and successful project implementation. This model serves as a valuable tool for companies seeking to improve their project implementation processes and gain a competitive edge in the market. The research was based on a sample of 473 managers/owners in medium-sized and large companies. Structural equation modeling was used to test the hypotheses. In today’s turbulent environment, the results will help develop guidelines for a successful combination of agile business practices and artificial intelligence to achieve successful project implementation, increasing a company’s competitiveness.
Ključne besede: artificial intelligence, agile work environment, company competitiveness, project management
Objavljeno v DKUM: 26.03.2024; Ogledov: 294; Prenosov: 207
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8. Multi-criteria measurement of ai support to project managementVesna Čančer, Polona Tominc, Maja Rožman, 2023, izvirni znanstveni članek Opis: This paper aims to measure the level of artificial intelligence (AI) support to project management (PM) in selected service sector activities. The exploratory factor analysis was employed based on the extensive survey on AI in Slovenian companies and the multi-criteria measurement with an emphasis on value functions and pairwise comparisons in the analytic hierarchy process. The synthesis and performance sensitivity analysis results show that in the service sector, concerning all criteria, PM is with the level 0.276 best supported with AI in services of professional, scientific, and technical activities, which also stand out concerning the first-level goals in using AI solutions in a project with the value 0.284, and in successful project implementation using AI with the value 0.301. Although the lowest level of AI support to PM, which is 0.220, is in services of wholesale and retail trade and repair of motor vehicles and motorcycles, these services excel in adopting AI technologies in a project with a value of 0.277. Services of financial and insurance activities, with the level 0.257 second-ranked concerning all criteria, have the highest value of 0.269 concerning the first-level goal of improving the work of project leaders using AI. The paper, therefore, contributes to the comparison of AI support to PM in service sector activities. The results can help AI development policymakers determine which activities need to be supported and which should be set as an example. The presented methodological frame can serve to perform measurements and benchmarking in various research fields.
Ključne besede: artificial intelligence, factor analysis, multiple criteria, performance sensitivity, project management
Objavljeno v DKUM: 12.02.2024; Ogledov: 369; Prenosov: 40
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9. Enhancing the performance of high-growth small- and medium-sized enterprises through effective project- management processes and stakeholder engagement : a systems perspectiveIgor Vrečko, Polona Tominc, Karin Širec, 2023, izvirni znanstveni članek Opis: This study examines the impact of project management practices on high-growth Small and Medium-sized Enterprises (HG SMEs) from a systems perspective, utilizing Structural Equation Modelling (SEM) and data from a diverse SME sample. It investigates the intricate relationships among project management system support, project management processes, stakeholder involvement, project management success, project success, and HG SME growth. Our findings highlight the substantial positive influence of project management processes and stakeholder engagement on project management success. These factors subsequently contribute significantly to both project success and the overall growth of HG SMEs. Notably, project management system support does not exhibit a substantial influence on these success factors. Furthermore, our research uncovers important indirect effects. Project management processes indirectly impact both project success and HG SME growth, underscoring their central role. Similarly, stakeholder involvement indirectly influences HG SME growth through its impact on project success, emphasizing its significance. This study contributes to the existing body of knowledge by emphasizing the critical roles of project management processes, stakeholder engagement, and project success as drivers of SME growth. These insights have valuable implications for SME managers, project leaders, and policymakers, highlighting the essential nature of effective project management in shaping the growth trajectory of SMEs.
Ključne besede: project management, project success, SME growth, stakeholder engagement, projectmanagement processes, high-growth SMEs, systems perspective, SEM
Objavljeno v DKUM: 13.12.2023; Ogledov: 455; Prenosov: 37
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10. A review of energy-efficient and sustainable construction scheduling supported with optimization toolsBorna Dasović, Uroš Klanšek, 2022, pregledni znanstveni članek Opis: This article reviews the accomplishments of studies in which optimization tools were used to develop energy-efficient and sustainable construction schedules. With the increase in global awareness of environmental issues, the construction industry has been forced to explore innovative techniques to make the building process more energy-efficient and sustainable. Project managers can use optimization tools in their scheduling procedures to address these issues in the early stages of the project. Therefore, this paper examines different optimization-based construction scheduling methods and their impact on schedule energy efficiency and the three key sustainability goals: economic viability, social equity, and environmental protection. Such a review has not yet been conducted to the best of our knowledge. This research aims to fill the gap and contribute to understanding advanced optimization tools that can pave the way to energy-efficient and sustainable scheduling practices. After a brief introduction, the background of optimization-based construction scheduling techniques that aim to improve construction management and incorporate these aspects into the decision-making process is explained. Then, these approaches are addressed in detail. It is determined for each study whether it adopted energy efficiency goals and which sustainability dimensions it considered within the proposed optimization model. The results of this study indicate a wide heuristic algorithms application for complex scheduling problems. Meanwhile, mathematical programming is still quite unexplored, especially methods that utilize algebraic modeling languages. This study provides a foundation for further research by addressing the current reach in development and possible knowledge gaps that could be researched in future studies. The paper also discusses the advantages and limitations of different approaches and illustrates the potential for utilizing these methods. Supported by the main review findings, conclusions and recommendations for further research are provided.
Ključne besede: construction, project management, optimization tools, scheduling, sustainability, energy efficiency
Objavljeno v DKUM: 26.09.2023; Ogledov: 393; Prenosov: 633
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