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1.
Big data in sports : a bibliometric and topic study
Ana Šuštaršič, Mateja Videmšek, Damir Karpljuk, Ivan Miloloža, Maja Meško, 2022, review article

Abstract: Background: The development of the sports industry was impacted by the era of Big Data due to the rapid growth of information technology. Unfortunately, that has become an increasingly challenging Issue. Objectives: The purpose of the research was to analyze the scientific production of Big Data in sports and sports-related activities in two databases, Web of Science and Scopus. Methods/Approach: Bibliometric analysis and topic mining were done on 51 articles selected after four exclusion criteria (written in English, journal articles, the final stage of publication, and a detailed review of all full texts). The software tool used was Statistica Data Miner. Results: We found that the first articles appeared in Scopus in 2013 and WoS in 2014. USA and China are countries which produced the most articles. The most common research areas in WoS and Scopus are Public environmental and occupational health, Medicine, Environmental science ecology, and Engineering. Conclusions: We conducted that further research and literature review will be required as this is a broad and new topic.
Keywords: big data, sport, bibliometric study, topic study, health care management, services, decision making
Published in DKUM: 05.07.2024; Views: 65; Downloads: 3
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2.
Performance-oriented UWB RTLS decision-making approach
Simona Šinko, Enej Marinič, Blaž Poljanec, Matevž Obrecht, Brigita Gajšek, 2022, original scientific article

Abstract: When introducing new technologies, companies are repeatedly faced with choosing between solutions from different providers. Regardless of all the good technical characteristics of the technology, if it is chosen inappropriately, it can prove to be a cost driver instead of something that brings added value to the system. Aware of this, we considered selecting a real-time location system (RTLS) based on Ultra-wideband technology in the indoor work environment. In practice and theory, it has been proven that the introduction of the RTLS can have highly positive effects on performance and business sustainability indicators. When reviewing the literature, it was noticed that authors solely focus on the technical properties of the systems and prices when giving guidelines on selecting the optimal RTLS. This article aims to provide advanced guidelines for UWB RTLS selection, proposing a phased selection process which is the main novelty proposed and investigated in this research. The guidelines are based on fragmented recommendations in the scientific literature that have been identified, gathered, considered, and reasonably allocated to the advanced performance-oriented phased selection process. In practice, this approach enables decision-makers to choose the most efficient and most appropriate UWB RTLS for specific logistics systems.
Keywords: decision-making, location data, RTLS, UWB, technology selection
Published in DKUM: 04.07.2024; Views: 69; Downloads: 10
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3.
Small hydropower plants in Western Balkan countries : status, controversies and a proposed model for decision making
Barbara Pavlakovič Farrell, Andrea Okanovic, Bojana Vasić, Jelena Jesic, Polona Šprajc, 2022, original scientific article

Abstract: Background: As the countries of the Western Balkans (WB) have committed to sustainable development, the process of regulatory and economic adjustment is underway. As part of the aforementioned fact, the WB countries have commenced exploitation of energy from renewable sources, among which hydropower is the most important. The main objective of the study is to analyse the status of renewable energy transition in the WB region, focusing on the construction and exploitation of small hydropower plants (SHPPs), as well as a proposal for an original model for decision making in this field, based on a multidimensional decision-making space. Namely, in most cases, there is resistance to the construction of SHPPs in the WB territory, as well as divided opinion among investors, companies, environmental movements, academia, and citizens on this issue. This shows that the entire decision-making process has to be reviewed and re-designed. Results: The results of the study show that the construction of SHPPs caused damage to environmentally protected areas, living conditions of local communities, touristic and agricultural potential. All of the foregoing matters have led to mass protests by citizens and a high degree of mistrust so that the future of SHPPs in the WB is extremely uncertain. The assessment of the acceptability of existing SHPPs through the proposed model showed that 74% of SHPPs cannot be considered acceptable from the aspect of the location where they were built, and from the aspect of the impact on the quality of life of the local population. Accordingly, this paper provides suggestions for much-needed improvements. Conclusions: The construction of SHPPs is causing numerous controversies, opposition, and resistance. To find the right solution, and contribute to sustainable energy and economic development, it is necessary to develop a fully transparent and objective policy system in this field, and to use contemporary models for decision making with emphasis on the involvement local communities in the decision-making process.
Keywords: sustainable energy transition, small hydropower plants, environmental awareness, modelling, decision making process, Western Balkans
Published in DKUM: 28.06.2024; Views: 322; Downloads: 2
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4.
Perspectives of artificial intelligence in judiciary: application in selected parts of civil proceedings : application in selected parts of civil proceedings
Mariia Sokolova, 2021, master's thesis

Abstract: The master’s thesis is devoted to the issue of Artificial Intelligence (AI) perspectives in the judiciary, in particular, its application to selected parts of civil proceedings. AI affects virtually the future of every industry and every human being. The application of AI technologies in the legal industry is an issue of growing interest. In particular, attention is drawn to the judicial system due to the fact that, apart from its position of guarantor of justice in society enabling its members to enjoy their rights and freedoms granted by law, it is a service of its nature. Almost all leading jurisdictions apply AI systems in attempts to enhance the efficiency of the court proceedings. Without any doubts, AI already and successfully can imitate activities traditionally performed by humans in the courts: from vision, recognising and extracting information, whether from the document, picture or natural speech, to analysing of information received and predicting the outcomes or decision-making. However, it is hard to say that AI-era in the judiciary has already begun. There is no jurisdiction in the world in which AI is fully given ‘green light’- they are all at the beginning of the AI-journey. That is mostly due to the fact that the same technical specifications, which power achievements, accuracy and flexibility of AI, place serious limitations for the wide application thereof. First of all, AI systems rely on data, which can be biased or spoiled in another way initially or easily manipulated later. Secondly, AI systems are not transparent (black-box-problem) and, as a result, are incomprehensible. These two shortcomings place an obstacle for the correct realisation of some fundamental rights in civil proceedings in their traditional understanding, and consequently, for the wide deployment of AI systems therein. It is concluded that the application of AI in the judiciary, in general, and in the civil proceedings, in particular, is subject of sufficient limitations mostly due to incompliance of AI systems with the traditional understanding of fundamental rights and principles the civil proceedings stand on. In the pursuit of the effectiveness of judiciary by means of AI application, fundamental guarantees can appear at stake, and vice versa, in the pursuit of respect of fundamental rights, the judiciary may be left out of the modern world in the stage of complete inadequacy to the needs of the society, therefore, the issue is required extensive research in order to find a fair and right balance.
Keywords: artificial intelligence, judiciary, civil proceedings, AI-judge, efficiency of the judiciary, automatic decision-making
Published in DKUM: 24.09.2021; Views: 888; Downloads: 121
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5.
Systems methodology for strategic decision-making in complex healthcare system
Tadeja Jere Lazanski, 2017, original scientific article

Abstract: Systems methodology as a support for strategic decision- making will be discussed in the paper. A society will be presented as a complex system, which is comprised of many smaller, complex systems as its component parts. The healthcare system is one of them. The support to the strategic decision-making in a healthcare system will be shown through systems thinking and systems modelling. We will develop models of a healthcare system in frame of a systems dynamics; a qualitative causal loop diagram (CLD), which helps us to discuss the challenges categorically and a quantitative model, which is a simulation model. Both models illustrate the discussed methodology.
Keywords: systems methodology, healthcare system, strategic decision-making, systems thinking, modelling
Published in DKUM: 09.10.2018; Views: 1500; Downloads: 70
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6.
Thinking in options – finding and evaluating alternatives
Edeltraud Günther, Daria Meyr, 2016, independent scientific component part or a chapter in a monograph

Abstract: After this general observation of decision processes we want to have a look at two decision making situations, that necessitate these processes, more detailed: Investment decisions are on the agenda for small and medium-sized companies, while acquisition decisions are more relevant in larger companies.
Keywords: decision-making, investment decisions, acquisition decisions, monetary assessment, effects, economic-ecological net effect
Published in DKUM: 11.05.2018; Views: 1159; Downloads: 58
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7.
Dimensions of decision-making process quality and company performance : a study of top managers in Slovenia
Damjan Grušovnik, Alenka Kavkler, Duško Uršič, 2017, original scientific article

Abstract: This paper investigates the relationship between the dimensions of the decision-making process quality and company performance of top managers’ in Slovenia. We found out that companies whose managers exhibit an above-average dimension of openness of spirit in the quality of the decision making process, on average, have a higher stance on foreign markets as companies in which managers show a below-average open spirit. For the managers who work in companies that are present in foreign markets, we could confirm that there is a low/weak correlation between the dimension of effort of the decision-making process quality and the number of employees in a company.
Keywords: quality of the decision-making process, rationality, motivation, participation, exhaustivity of the information, managers effort, creativity and innovativeness, company stakeholders, company performance
Published in DKUM: 03.05.2018; Views: 1553; Downloads: 201
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8.
Examining determinants of leadership style among Montenegrin managers
Anđelko Lojpur, Ana Aleksić, Sanja Vlahović, Mirjana Pejić Bach, Sanja Peković, 2015, original scientific article

Abstract: As a leader’s behavior can have a strong impact on different employee work- related outcomes, various approaches have been put forth in an effort to determine the most effective form of leadership and determinants of individuals’ choice of leadership style. This paper analyzed whether one’s choice of leadership style is due more to personal or organizational characteristics. We used survey data to investigate the determinants of leadership style among Montenegrin managers. Our analysis showed that, although demographic characteristics such as gender, age, and education do not influence the choice of leadership style, internal organizational characteristics such as hierarchical level, managerial orientation to tasks/people, and decision-making characteristics such as decision- making style and decision-making environment are positively associated with the choice of democratic leadership style. This contributes to recent research in leadership that shows how some personal characteristics are considered to be less important in developing certain styles and that the choice of style is more dependent and contingent on external influences and situations.
Keywords: decision-making characteristics, demographic characteristics, internal organizational characteristics, leadership style, Montenegro
Published in DKUM: 03.05.2018; Views: 1182; Downloads: 58
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9.
Understanding the structural complexity of induced travel demand in decision-making : a system dynamics approach
Juan Angarita-Zapata, Jorge Parra-Valencia, Hugo Andrade-Sosa, 2016, original scientific article

Abstract: Background and purpose: Induced travel demand (ITD) is a phenomenon where road construction increases vehicles’ kilometers traveled. It has been approached with econometric models that use elasticities as measure to estimate how much travel demand can be induced by new roads. However, there is a lack of “white-box” models with causal hypotheses that explain the structural complexity underlying this phenomenon. We propose a system dynamics model based on a feedback mechanism to explain structurally ITD. Methodology: A system dynamics methodology was selected to model and simulate ITD. First, a causal loop diagram is proposed to describe the ITD structure in terms of feedback loops. Then a stock-flows diagram is formulated to allow computer simulation. Finally, simulations are run to show the quantitative temporal evolution of the model built. Results: The simulation results show how new roads in the short term induce more kilometers traveled by vehicles already in use; meanwhile, in the medium-term, new traffic is generated. These new car drivers appear when better flow conditions coming from new roads increase attractiveness of car use. More cars added to vehicles already in use produce new traffic congestion, and high travel speeds provided by roads built are absorbed by ITD effects. Conclusion: We concluded that approaching ITD with a systemic perspective allows for identifying leverage points that contribute to design comprehensive policies aimed to cope with ITD. In this sense, the model supports decision- making processes in urban contexts wherein it is still necessary for road construction to guarantee connectivity, such as the case of developing countries.
Keywords: induced travel demand, system dynamics, decision-making, dynamic modeling
Published in DKUM: 23.01.2018; Views: 1438; Downloads: 162
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10.
Teaching ethics and critical thinking in contemporary schools
Bojan Borstner, Smiljana Gartner, 2014, original scientific article

Abstract: Basic ethical questions, dilemmas and especially decisions do not only affect the life of an individual but can also affect lives of others. In some professional ethics, where decisions about a person's life or death are made, decisions can even be irreversible. In this contribution three ways of deciding by highlighting critical, and reflective decision-making or systematic thought process as the most effective method in ethics have been pointed out. Therefore, taking ethics as a critically reflective morality highlights the fact that we can talk about ethical exploration, so ethics is a process of thinking, not a set of established answers that need only to be passively accepted. It could be concluded that the study of and practice in, evaluating arguments and evidence (moral decision making) via critical thinking as well as using other important skills (raising questions according to Blooms taxonomy and doing a lot of case studies) is the best way to achieve the most fundamental goal in teaching an ethical course -- becoming a better person. And is therefore something that should be in every curriculum.
Keywords: authority, critical thinking, ethics, teaching ethics, decision making, intuitions
Published in DKUM: 19.12.2017; Views: 1089; Downloads: 146
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