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Blockchain technology adoption for improved environmental supply chain performance : the mediation effect of supply chain resilience, customer integration, and green customer information sharing
Summer K. Mohamed, Sandra Haddad, Mahmoud Barakat, Bojan Rosi, 2023, original scientific article

Abstract: Due to the complexity of building supply chain resilience (SCR) towards long-term environmental sustainability amendments, the use of emerging technologies such as Blockchain Technology (BCT) can be adopted as an innovative tool to enhance the sustainability and resilience of supply chains, especially in uncertain environments. Drawing on the Knowledge-Based View (KBV) and Dynamic Capability View (DCV), this research aims to demonstrate how the adoption of BCT can enhance the environmental supply chain performance (SCP). A total of 603 valid surveys were collected from respondents from manufacturing and service organizations in Egypt. The collected data were analyzed using structural equation modelling, and results revealed that BCT adoption alone had a negative direct impact on environmental SCP. However, when this relationship was mediated by SCR and sequentially mediated by customer integration and green customer information sharing, the results were positive. This research presents insights on how organizations can adapt to dynamic business environments, and, in addition, it extends the theories of KBV and DCV in an empirical contribution by filling the gap in understanding regarding how environmental SCP can be enhanced through the adoption of BCT.
Keywords: blockchain technology, environmental, supply chain, performance, resilience, customer integration, green, information sharing
Published in DKUM: 03.04.2024; Views: 35; Downloads: 2
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Sustainability reporting ecosystem : a once-in-a-lifetime overhaul during the COVID-19 pandemic
Daniel Zdolšek, Sabina Taškar Beloglavec, 2023, original scientific article

Abstract: The preparation of sustainability reports, which a negligible number of organisations had been doing until recently, will soon be the new reality for many more organisations. This research aims to present changes during the COVID-19 pandemic in the ecosystem of sustainability reporting pronouncements, especially those used by organisations. In our research, we compare important information about two different periods and the content demands in reporting on sustainability. Changes in the ecosystem are fundamental and unique. Based on the analysis of events and documents, the current research shows the changes in the ecosystem and the future dynamics in the ecosystem, including the principle standard setters (i.e., International Sustainability Standards Board and European Financial Reporting Advisory Group, EFRAG). The research shows that although the changes occurred during the COVID-19 pandemic, they did not significantly impact the ecosystem’s development or slow down or stop their development. The COVID-19 pandemic did not affect the speed or dynamics of changes. In the last few years, EFRAG and the European Union established their position and gained a significant influence in sustainability reporting, with EFRAG at the forefront. The European Sustainability Reporting Standards will be mandatory for organisations doing business in the European Union. At the same time, we do not expect that the IFRS Sustainability Disclosure Standards will be directly endorsed for use in the European Union. The paper presents a new perspective on examining sustainability via developing organisations’ reporting demands within the framework of the uncertain environment caused by COVID-19. In this context, our research also contributes to the literature. The study also has a potential practical impact on organisations and management since it illuminates a wide range of selected sustainability viewpoints and their reporting.
Keywords: sustainability, sustainability reporting, standard setting, reporting standards, disclosure standards, nonfinancial information, regulation, COVID-19, ISSB, EFRAG
Published in DKUM: 28.03.2024; Views: 47; Downloads: 6
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Active BIM system for optimized multi-project ready-mix-concrete delivery
Hana Begić, Mario Galić, Uroš Klanšek, 2023, original scientific article

Abstract: Purpose – Ready-mix concrete delivery problem (RMCDP), a specific version of the vehicle routing problem (VRP), is a relevant supply-chain engineering task for construction management with various formulations and solving methods. This problem can range from a simple scenario involving one source, one material and one destination to a more challenging and complex case involving multiple sources, multiple materials and multiple destinations. This paper presents an Internet of Things (IoT)-supported active building information modeling (BIM) system for optimized multi-project ready-mix concrete (RMC) delivery. Design/methodology/approach – The presented system is BIM-based, IoT supported, dynamic and automatic input/output exchange to provide an optimal delivery program for multi-project ready-mix-concrete problem. The input parameters are extracted as real-time map-supported IoT data and transferred to the system via an application programming interface (API) into a mixed-integer linear programming (MILP) optimization model developed to perform the optimization. The obtained optimization results are further integrated into BIM by conventional project management tools. To demonstrate the features of the suggested system, an RMCDP example was applied to solve that included four building sites, seven eligible concrete plants and three necessary RMC mixtures. Findings – The system provides the optimum delivery schedule for multiple RMCs to multiple construction sites, as well as the optimum RMC quantities to be delivered, the quantities from each concrete plant that must be supplied, the best delivery routes, the optimum execution times for each construction site, and the total minimal costs, while also assuring the dynamic transfer of the optimized results back into the portfolio of multiple BIM projects. The system can generate as many solutions as needed by updating the real-time input parameters in terms of change of the routes, unit prices and availability of concrete plants. Originality/value – The suggested system allows dynamic adjustments during the optimization process, andis adaptable to changes in input data also considering the real-time input data. The system is based on spreadsheets, which are widely used and common tool that most stakeholders already utilize daily, while also providing the possibility to apply a more specialized tool. Based on this, the RMCDP can be solved using both conventional and advanced optimization software, enabling the system to handle even large-scale tasks as necessary.
Keywords: active building information modeling, BIM, internet of things, IoT, multi-project environment, optimization, ready-mix-concrete delivery, RMC
Published in DKUM: 19.03.2024; Views: 58; Downloads: 6
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The role of B2B marketing strategy, ICT B2B marketing support, and service quality in market orientation – Performance relationship : evidence from three European countries
Gregor Jagodič, Borut Milfelner, 2022, original scientific article

Abstract: The purpose of this study is to evaluate the role of marketing strategy, information communication technology (ICT) marketing support, and service quality in the market orientation–performance relationship. Even though there are many studies considering the market orientation–performance relationship they rarely take into consideration ICT marketing support and marketing strategy, especially concerning the companies operating in B2B markets. Additionally, this study compares the impacts of the constructs between two emerging economies (Slovenia and Serbia) and one developed economy (Austria) on a random sample of 636 companies. Results were obtained based on the set hypotheses using the covariance-based structural equation modeling (SEM) and invariance testing procedure to make comparisons between the three countries. Market orientation strongly influenced the successful development and implementation of marketing strategies, ICT support, and service quality. The impact of service quality on company performance was statistically insignificant and only the indirect impact of market orientation on company performance through service quality was determined. ICT marketing support and successful development and implementation of B2B marketing strategy were also positively related to company performance. This study can help managers in B2B companies in emerging and developed markets to learn how to use specific marketing resources in order to achieve higher company performance.
Keywords: marketing strategy, information-communication technology, service quality, market orientation, firm performance
Published in DKUM: 17.07.2023; Views: 370; Downloads: 56
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Analysis of two diverse nursing records applications : mixed methods approach
Marija Milavec Kapun, Vladislav Rajkovič, Uroš Rajkovič, 2022, original scientific article

Abstract: Introduction: Poor adoption of electronic health records among healthcare workers can diminish their impact. Healthcare informatics solutions development should diligently acknowledge end-user needs.This study compares a user experience and perceived quality of the nursing process integration in two different applications for electronic documentation of the nursing care plan. Both applications were designed and tested in Slovenia. Methods: In the first phase, final year undergraduate nursing students were recruited (n=73) and randomly assigned into two groups. Each group used one of the applications for a duration of five hours. A survey among students was conducted. In the second phase, additional students were recruited (n=40) and invited to participate in qualitative analysis of the unfavourably rated application. Results: The modern, visually improved application was favourably rated by students in terms of all aspects of application usability. However, students reported a significant number of inadequacies regarding the nursing process methodology integration. On the contrary, the students using the poorly rated and visually outdated application reported no such concerns. Qualitative analysis of student reflections identified additional positive features of software design that were not detected in survey results analysis. Conclusion: This study showed that a user-centred approach can be used to compare diverse electronic solutions. Detected discrepancies in findings using qualitative and quantitative analysis show the importance of integrating diverse research approaches for adequate evaluation of software solutions. Furthermore, this study design promotes empowerment of healthcare workers to participate in the development and critical evaluations of software solutions.
Keywords: nursing process, information technology, documentation, user experience, quantitative/ qualitative approach
Published in DKUM: 12.07.2023; Views: 326; Downloads: 22
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Proceedings of the 33rd International Conference on Information Modelling and Knowledge Bases EJC 2023

Abstract: The proceedings of the thirty-third conference EJC 2023 combine the experience and knowledge of the experts working and different research fields of Information modelling, Conceptual modelling, Knowledge and information modelling and discovery, Linguistic modelling, Cross-cultural communication and social computing, Environmental modelling and engineering, and Multimedia data modelling and systems.
Keywords: conceptual modelling, knowledge modelling, information modelling, linguistic modelling, cross-cultural communication, social computing, environmental modelling, multimedia data modelling
Published in DKUM: 02.06.2023; Views: 325; Downloads: 20
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Mapping of the emergence of society 5.0 : a bibliometric analysis
Vasja Roblek, Maja Meško, Iztok Podbregar, 2021, original scientific article

Abstract: Background and purpose: The study aims to answer a research question: With which essential cornerstones technological innovations the transformation from Society 4.0 and Industry 4.0 to Society 5.0 and Industry 5.0 is enabled? The study is important for practitioners and researchers to understand the meaning of Society 5.0 and to familiarise themselves with the drivers that will help shape Society 5.0 policies and play an important role in its further development. Therefore, the authors conducted a quantitative bibliometric study that provides insights into the importance of the topic and incorporates current characteristics and future research trends. Methodology: The study used algorithmic co-occurrence of keywords to gain a different insight into the evolution of Society 5.0. Thirty-six selected articles from the Web of Science database were analysed with the bibliometric analysis and overlay visualisation. Results: The co-occurrence analysis shows that terms artificial intelligence, cyber-physical systems, big data, Industry 4.0, Industry 5.0, open innovation, Society 5.0, super-smart society have been widely used in researches in the last three years. Conclusion: The study presents a bibliometric analysis to analyse the current and future development drivers of a Society 5.0. According to the results, the transition from Society 4.0 to Society 5.0 can be achieved by implementing knowledge and technologies in the IoT, robotics, and Big Data to transform society into a smart society (Society 5.0). In particular, the concept would enable the adaptation of services and industrial activities to individuals’ real needs. Furthermore, these technologies allow advanced digital service platforms that will eventually be integrated into all areas of life.
Keywords: society 5.0, industry 5.0, information society, smart society, data-driven innovations
Published in DKUM: 15.09.2022; Views: 449; Downloads: 12
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A Comparison of Traditional and Modern Data Warehouse Architectures : zaključno delo
Rok Virant, 2021, undergraduate thesis

Abstract: Data has never been as desired or valued as it is today. The value of data and information over the past decade has not only changed trends in business and the IT industry but has also changed the dynamic of work. Enormous amounts of aggregate data offer companies and other corporations the option to explore and study data samples. Data collection and information processing are new dynamic factors, not only for individuals but also for corporations. Companies and corporations who are able to process large amounts of data in the shortest possible time can place themselves in a leading position in certain professions. In this bachelor’s thesis we will describe the basic concepts and factors that have shaped new, cloud-based data warehouse technologies. At the same time, we also emphasize why and how these technologies are used. We focus on how the changing technology influenced the users and their consumption of data, the changing dynamics of work as well as the changes of data itself. In the practical part, we created two DWH environments (on-premises and cloud) that we compare with each other. In the experiment, we underlined the fact that CDWHs are in certain situations not always faster than TDWH.
Keywords: Data Warehouses, Cloud Computing, Outsourcing, Data, Information
Published in DKUM: 18.10.2021; Views: 966; Downloads: 158
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Proceedings of the 2021 7th Student Computer Science Research Conference (StuCoSReC)
2021, proceedings

Abstract: The 7th Student Computer Science Research Conference is an answer to the fact that modern PhD and already Master level Computer Science programs foster early research activity among the students. The prime goal of the conference is to become a place for students to present their research work and hence further encourage students for an early research. Besides the conference also wants to establish an environment where students from different institutions meet, let know each other, exchange the ideas, and nonetheless make friends and research colleagues. At last but not least, the conference is also meant to be meeting place for students with senior researchers from institutions others than their own.
Keywords: student conference, computer and information science, artificial intelligence, data science, data mining
Published in DKUM: 13.09.2021; Views: 1156; Downloads: 149
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