1. Does individual IT experience affect shadow IT usage? : empirical evidence from universities with legal entities in IndonesiaNurfitriansyah, Munir, Disman, Puspodewi Dirgantari, 2023, original scientific article Abstract: Background and purpose: Employee dissatisfaction with extant technology is one of the causes of shadow IT use. The selection of alternative technologies is determined by individual IT knowledge. In this study, we intend to examine the relationship between individual IT experience and the use of shadow IT in Indonesian higher education through two job characteristics, namely task identity and autonomy. Methods: This study collects and analyses data from 301 respondents at Indonesian universities with legal status using a quantitative methodology. The direct relationship in the research model was investigated using Smart-PLS data analysis. Results: The results of the study indicate that individual IT experience strongly supports the use of shadow IT by tertiary institutions with legal entities employees in Indonesia, either through task identity or job autonomy. Conclusion: In order for employees to feel satisfied, the organization must prioritize employee IT experience and the information technology requirements they require to complete their work. This can be accomplished by involving employees in the development of information technology.
Keywords: individual IT experience, task identity, autonomy, shadow IT
Published in DKUM: 20.10.2025; Views: 0; Downloads: 3
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2. Uporaba metod strojnega učenja za klasifikacijo nalog po prioritetah v IT projektihTatyana Unuchak, Mirjana Kljajić Borštnar, Yauhen Unuchak, 2025, original scientific article Abstract: 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.
Keywords: IT project management, machine learning, task prioritization, multiclass classification, data imbalance
Published in DKUM: 28.08.2025; Views: 0; Downloads: 3
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3. The integration of mathematical modeling tasks into primary education : a comparative study of Croatia and SloveniaMateja Sabo, Alenka Lipovec, 2025, original scientific article Abstract: This study examines the practical aspects of introducing mathematical modeling into primary mathematics education in Slovenia and Croatia. It aims to explore how students approach mathematical modeling tasks, whether they rely solely on mathematical operations or integratenon-mathematical knowledge, and what strategies they employ during problem-solving.Teachers in Slovenia and Croatia were prepared by training to present mathematical modelling tasks to 231 students, ages 10 to 11. Students solved three group tasks analyzed using a three-level framework to assess solution sophistication.Most students demonstrated basic problem-solving strategies with a smaller proportion achieving advanced reasoning and multi-criteria analysis. Croatian students more frequently employed diverse strategies reflecting differences in curricular emphasis between the two countries.The ability to engage in mathematical modeling is essential in today’s world, yet effective teaching approaches remain undefined. This study underscores its potential in primary education and calls for further research to refine instructional methods and enhance student outcomes.Teachers can be trained in less than three months to effectively implement mathematical modeling tasks. With this training, students can develop foundational modeling skills in fewer than six lessons, enabling them to apply mathematical reasoning to real-world problems.
Keywords: Mathematics, mathematics modelling, primary education, students task
Published in DKUM: 26.08.2025; Views: 0; Downloads: 2
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4. Task-oriented evaluation of the feasible kinematic directional capabilities for robot machiningSaša Stradovnik, Aleš Hace, 2022, original scientific article Abstract: Performing the machining of complex surfaces can be a challenging task for a robot, especially in terms of collaborative robotics, where the available motion capabilities are greatly reduced
in comparison with conventional industrial robot arms. It is necessary to evaluate these capabilities
prior to task execution, for which we need efficient algorithms, especially in the case of flexible
robot applications. To provide accurate and physically consistent information about the maximum
kinematic capabilities while considering the requirements of the task, an approach called the Decomposed Twist Feasibility (DTF) method is proposed in this study. The evaluation of the maximum
feasible end-effector velocity is based on the idea of decomposition into the linear and angular motion
capabilities, considering a typical robot machining task with synchronous linear and angular motion.
The proposed DTF method is presented by the well-known manipulability polytope concept. Unlike
the existing methods that estimate the kinematic performance capabilities in arbitrarily weighted
twist space, or separately in the translation and the rotation subspace, our approach offers an accurate
and simple solution for the determination of the total kinematic performance capabilities, which is
often highly required, especially in the case of robot machining tasks. The numerical results obtained
in this study show the effectiveness of the proposed approach. Moreover, the proposed DTF method
could represent suitable kinematic performance criteria for the optimal placement of predefined tasks
within the robot workspace
Keywords: robot surface machining, task feasibility, task-dependent kinematic capability, kinematic performance evaluation, manipulability index, manipulability polytope, motion decomposition, Decomposed Twist Feasibility method, DTF method
Published in DKUM: 01.04.2025; Views: 0; Downloads: 5
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5. Toward embedded system resources relaxation based on the event-triggered feedback control approachAndrej Sarjaš, Dušan Gleich, 2022, original scientific article Abstract: The paper describes an event-triggered nonlinear feedback controller design. Event triggering is a real-time controller implementation technique which reduces embedded system utilization
and relaxes task scheduling of the real-time system. In contrast to classic time implementation
techniques, the event-triggered execution is validated regarding the introduced triggering policy.
The triggering rule is a boundary, where the last task value is preserved until the rule is violated.
In the given paper, two different event-triggered strategies are designed for the class of dynamic
systems with integral behavior. Both methods are based on sliding mode controller design, where the
triggering rule of the first design involves only a partial state vector, which is a direct consequence of
the triggering rule derivation throughout the Lyapunov stability analysis. In the second approach,
the sliding mode controller is designed upon prior stabilized systems with the additional term, which
enables derivation of the triggering rule based on the whole state vector. The second approach offers
better closed-loop performance and higher relaxation of the system utilization. The selection of
triggering boundary is related closely to the derived minimal inter-event time, which impacts the
computational burden of the real-time system and closed-loop performance directly. The derived
controllers are compared with the classic sample and hold implementation techniques. The real-time
results are presented, and system performances are confirmed regarding embedded system task
relaxation, lowering the computational intensity and preserving closed-loop dynamics.
Keywords: sliding mode control, event-triggered control, lowering computational intensity, task relaxation
Published in DKUM: 28.03.2025; Views: 0; Downloads: 13
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6. EEG channel and feature investigation in binary and multiple motor imagery task predictionsMurside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler, 2024, original scientific article Keywords: brain-computer interfaces, electroencephalogram, feature and channel investigation, feature selection, machine learning, motor imagery task classification
Published in DKUM: 19.12.2024; Views: 0; Downloads: 5
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7. The relation between project team conflict and user resistance in software projectsSimon Vrhovec, Blaž Markelj, 2021, original scientific article Abstract: 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.
Keywords: project management, software project, relationship conflict, task conflict, process conflict, resistance to change
Published in DKUM: 11.12.2024; Views: 0; Downloads: 8
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8. Region-based approach for machining time improvement in robot surface finishingTomaž Pušnik, Aleš Hace, 2024, original scientific article Abstract: Traditionally, in robotic surface finishing, the entire workpiece is processed at a uniform speed, predetermined by the operator, which does not account for variations in the machinability across different regions of the workpiece. This conventional approach often leads to inefficiencies, especially given the diverse geometrical characteristics of workpieces that could potentially allow for different machining speeds. Our study introduces a region-based approach, which improves surface finishing machining time by allowing variable speeds and directions tailored to each region’s specific characteristics. This method leverages a task-oriented strategy integrating robot kinematics and workpiece surface geometry, subdivided by the clustering algorithm. Subsequently, methods for optimization algorithms were developed to calculate each region’s optimal machining speeds and directions. The efficacy of this approach was validated through numerical results on two distinct workpieces, demonstrating significant improvements in machining times. The region-based approach yielded up to a 37% reduction in machining time compared to traditional single-direction machining. Further enhancements were achieved by optimizing the workpiece positioning, which, in our case, added up to an additional 16% improvement from the initial position. Validation processes were conducted to ensure the collaborative robot’s joint velocities remained within safe operational limits while executing the region-based surface finishing strategy.
Keywords: robot surface finishing, collaborative robot, region-based machining, workpiece optimization, clustering, task-oriented machining, machining time optimization
Published in DKUM: 25.11.2024; Views: 0; Downloads: 37
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9. Statistically significant features improve binary and multiple motor imagery task predictions from EEGsMurside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Yalcin Isler, 2023, original scientific article Abstract: In recent studies, in the field of Brain-Computer Interface (BCI), researchers have
focused on Motor Imagery tasks. Motor Imagery-based electroencephalogram
(EEG) signals provide the interaction and communication between the paralyzed
patients and the outside world for moving and controlling external devices
such as wheelchair and moving cursors. However, current approaches in the
Motor Imagery-BCI system design require.
Keywords: brain-computer interfaces, electroencephalogram, feature selection, machine learning, task classification
Published in DKUM: 10.09.2024; Views: 31; Downloads: 8
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10. Drivers for enhancing job performance of prison officers in Slovenia : effects of job attitudes, organizational, and work-related factorsKatrin Podgorski, Branko Lobnikar, Anže Mihelič, Kaja Prislan Mihelič, 2023, original scientific article Abstract: Maintaining order and safety in a prison environment heavily depends on prison officers, who daily interact with prisoners and are constantly dealing with dangerous situations. Their task performance is vital for the organizational performance and the fulfillment of the prisons’ mission. For managing prison officers’ job performance efficiently, it is important to understand the associated factors; however, job performance in a prison environment remains completely unexplored in Slovenia. This article presents a study conducted among Slovenian prison officers (n = 201), which examined their task performance, its association with job attitudes, and the role of organizational and work-related factors. The study results showed that the prison officers’ task performance is associated with their job satisfaction, but not with their job involvement. Moreover, their job satisfaction is associated with perceived organizational justice, job stress, and the dangerousness of the job. Based on these findings, we demonstrated that task performance depends on several direct and indirect factors that prison management should prioritize, the key ones being stress reduction, strengthening the feeling of organizational justice, and the ability to deal with the job-related dangers successfully. This article highlights organizational and work-related factors important for improving the prison officers’ well-being at work.
Keywords: job performance, task performance, workplace psychology, prisons, rison officers
Published in DKUM: 29.11.2023; Views: 347; Downloads: 42
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