| | SLO | ENG | Piškotki in zasebnost

Večja pisava | Manjša pisava

Iskanje po katalogu digitalne knjižnice Pomoč

Iskalni niz: išči po
išči po
išči po
išči po
* po starem in bolonjskem študiju


1 - 10 / 19
Na začetekNa prejšnjo stran12Na naslednjo stranNa konec
Webinar: Data Management and Ethics
Milan 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: 66; Prenosov: 2
.pdf Celotno besedilo (5,54 MB)
Gradivo ima več datotek! Več...

Artificial intelligence and agility-based model for successful project implementation and company competitiveness
Polona 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: 174; Prenosov: 161
.pdf Celotno besedilo (1,68 MB)
Gradivo ima več datotek! Več...

Multi-criteria measurement of ai support to project management
Vesna 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: 243; Prenosov: 15
.pdf Celotno besedilo (4,18 MB)
Gradivo ima več datotek! Več...

Enhancing the performance of high-growth small- and medium-sized enterprises through effective project- management processes and stakeholder engagement : a systems perspective
Igor 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: 333; Prenosov: 12
.pdf Celotno besedilo (1,10 MB)
Gradivo ima več datotek! Več...

A review of energy-efficient and sustainable construction scheduling supported with optimization tools
Borna 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: 316; Prenosov: 13
.pdf Celotno besedilo (1,20 MB)
Gradivo ima več datotek! Več...

Multi-objective optimization algorithms with the island metaheuristic for effective project management problem solving
Christina Brester, Ivan Ryzhikov, Eugene Semenkin, 2017, izvirni znanstveni članek

Opis: Background and Purpose: In every organization, project management raises many different decision-making problems, a large proportion of which can be efficiently solved using specific decision-making support systems. Yet such kinds of problems are always a challenge since there is no time-efficient or computationally efficient algorithm to solve them as a result of their complexity. In this study, we consider the problem of optimal financial investment. In our solution, we take into account the following organizational resource and project characteristics: profits, costs and risks. Design/Methodology/Approach: The decision-making problem is reduced to a multi-criteria 0-1 knapsack problem. This implies that we need to find a non-dominated set of alternative solutions, which are a trade-off between maximizing incomes and minimizing risks. At the same time, alternatives must satisfy constraints. This leads to a constrained two-criterion optimization problem in the Boolean space. To cope with the peculiarities and high complexity of the problem, evolution-based algorithms with an island meta-heuristic are applied as an alternative to conventional techniques. Results: The problem in hand was reduced to a two-criterion unconstrained extreme problem and solved with different evolution-based multi-objective optimization heuristics. Next, we applied a proposed meta-heuristic combining the particular algorithms and causing their interaction in a cooperative and collaborative way. The obtained results showed that the island heuristic outperformed the original ones based on the values of a specific metric, thus showing the representativeness of Pareto front approximations. Having more representative approximations, decision-makers have more alternative project portfolios corresponding to different risk and profit estimations. Since these criteria are conflicting, when choosing an alternative with an estimated high profit, decision-makers follow a strategy with an estimated high risk and vice versa. Conclusion: In the present paper, the project portfolio decision-making problem was reduced to a 0-1 knapsack constrained multi-objective optimization problem. The algorithm investigation confirms that the use of the island meta-heuristic significantly improves the performance of genetic algorithms, thereby providing an efficient tool for Financial Responsibility Centres Management.
Ključne besede: 0-1 multi-objective constrained knapsack problem, project management portfolio problem, multi-objective evolution-based optimization algorithms, collaborative and cooperative meta-heuristics
Objavljeno v DKUM: 04.05.2018; Ogledov: 1445; Prenosov: 293
.pdf Celotno besedilo (993,98 KB)
Gradivo ima več datotek! Več...

Providing the success of Six Sigma by proper project identification and selection : comparison study between Slovenia and the UK
Dušan Gošnik, Andrej Bertoncelj, 2010, izvirni znanstveni članek

Opis: Results of Six Sigma projects are related to company performance. Successful Six Sigma projects increase customer satisfaction and have many other positive effects on organisations. Success of Six Sigma projects is related to key management decision about how to identify potential projects and which projects to select for final implementation. This research is oriented toward the study of tools used in the phase of Six Sigma project identification and criteria used in the phase of Six Sigma project selection. The purpose of this research is to compare results from manufacturing sector in Slovenia and the UK. Results of this study indicate that management within the organisations tend to identify potential Six Sigma projects with the use of different tools, such as: brainstorming (Slovenia and UK.), followed by Critical To Quality tree (UK.), and interviews and customer visits (Slovenia). Further, the results show that the final decision about Six Sigma projects selection in the UK and Slovenia include different criteria, such as: customer benefit (Slovenia and UK), finance impact (UK) and connection to business strategy (Slovenia). Many companies in the UK as well in Slovenia combine the use of tools and balanced selection criteria at the same time.
Ključne besede: Six Sigma, tools, criteria, identification, selection, project, management, Slovenia, United Kingdom
Objavljeno v DKUM: 18.01.2018; Ogledov: 1243; Prenosov: 213
.pdf Celotno besedilo (364,20 KB)
Gradivo ima več datotek! Več...

Survey of accomplishments in BIM implementation in Croatia, the Czech Republic, Germany, and Slovenia
Mario Galić, Vaclav Venkrbec, Franziska Chmelik, Immo Feine, Zoran Pučko, Uroš Klanšek, 2017, izvirni znanstveni članek

Opis: Building information modelling (BIM) may currently be considered the fastest developing concept in the field of construction management, aiming to become a global standard. Although the roots of the concept date back to the mid-1970s, some original expectations are still missing from its implementation. There has been a time gap between its theoretical and practical implementations. While the simultaneous development of information technologies is one reason for the implementation delay, other reasons remain unclear. This paper analyzes the gaps between theoretical and practical BIM application, as well as the legislation regarding BIM implementation in four countries (in alphabetical order: Croatia, the Czech Republic, Germany, and Slovenia). The paper additionally presents a survey of current practical BIM applications as well as general and theoretical feedback from construction projects that implemented BIM.
Ključne besede: construction industry, implementation, project management, survey
Objavljeno v DKUM: 12.01.2018; Ogledov: 1391; Prenosov: 343
.pdf Celotno besedilo (694,12 KB)
Gradivo ima več datotek! Več...

Development of new product/process development procedure for SMEs
Mateja Karničar Šenk, Peter Metlikovič, Matjaž Maletič, Boštjan Gomišček, 2010, izvirni znanstveni članek

Opis: The result of our research is a developed and implemented set of activities for new process or product development (NPD procedure) for SMEs environment in the plastic processing industry, which enables the production of products and services with a high value added. The developed NPD procedure consists of five consecutive and overlapping steps: attracting orders, designing a project, developing a product, developing a process and zero production series. Each distinct step is further divided into sub-activities supported by adequate methods and managed in an information system. Investigated and included were three different methodologies use for NPD procedure in the automotive industry such as Advanced Product Quality Planning (APQP), Design for Six Sigma (DFSS) and Stage/Gate methodology. The results presented in the paper show that the developed NPD procedure significantly improved NPD in terms of cost management and time-effectiveness.
Ključne besede: quality management, new product development procedure, project management, cross-functional team, project portfolio
Objavljeno v DKUM: 29.11.2017; Ogledov: 1357; Prenosov: 339
.pdf Celotno besedilo (417,08 KB)
Gradivo ima več datotek! Več...

Developing soft skills for engineering : experience with student Team projects
Franc Gider, Tanja Urbančič, 2010, izvirni znanstveni članek

Opis: While advanced technologies are entering schools at all levels, we claim that other skills required to deal with them in the complex modern world should not be neglected in the education system. In this article, a promising approach to interdisciplinary postgraduate education is described. The idea of the »Team project« course is to give the students the opportunity to gain experience in an extensive project where various skills are needed, e.g. teamwork, coordinating work, project management, research, problem solving, public presentations, time management, etc. The course is obligatory and held in the first year of the master study program at the School of Engineering and Management of the University of Nova Gorica. The main advantage of the course is to give the students hands-on experience of work on a project that is very close to reality. Students are forced to gain experience in teamwork and to overcome the uncertainties and obstacles that arise in such projects. Since the launch of the course, several improvements have been made with the aim of improving the performance of the course. Nevertheless, the course remains a challenge for both students and teachers.
Ključne besede: teamwork, student project, engineering and management
Objavljeno v DKUM: 29.11.2017; Ogledov: 1254; Prenosov: 164
.pdf Celotno besedilo (492,61 KB)
Gradivo ima več datotek! Več...

Iskanje izvedeno v 4.11 sek.
Na vrh
Logotipi partnerjev Univerza v Mariboru Univerza v Ljubljani Univerza na Primorskem Univerza v Novi Gorici