RFOS - Repository of Faculty of Organizational Sciences Univ. of Belgrade
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    The Use of Internet of Things and Robotics in Supply Chains

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    In recent years, there has been an increasing number of supply chains that have integrated new advanced technologies and have gone through digital transformation. The aim of this paper is to examine the possibilities and benefits of using Internet of Things (IoT) technology and robotics within the supply chain processes. The research methods include desk analysis, comparative analysis of literature and analysis of relevant case studies. The results reveal different ways in which IoT can be utilized within supply chains and how it can be used in integration with robotics to improve the performances of supply chains. Examples of supply chains that use robotics with IoT enhancement are also given. The paper can serve as a piece of basis for the digital transformation of supply chains in Industry 4.0

    Stakeholders’ readiness for adopting blockchain in the fashion industry

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    This paper examines the current state of readiness among stakeholders in the fashion industry regarding the adoption of blockchain technology. The main aim of the research paper is to assess the industry's preparedness and identify potential barriers and opportunities associated with implementing blockchain solutions. Recognizing the need for additional investigation in this domain, the paper presents a model that addresses pertinent questions related to blockchain technology. The research focuses on exploring the advantages that blockchain technology can bring to the fashion industry's supply chain. Furthermore, the research paper emphasizes the significance of evaluating stakeholders' readiness levels for embracing blockchain technology. By utilizing the proposed model, the findings of the research paper are examined and analyzed. The paper presents a novel business model specifically designed for implementing blockchain in the fashion industry. The proposed model aims to facilitate the adoption of blockchain technology in the industry's supply chain. To evaluate the readiness of fashion industry stakeholders to adopt blockchain, the research paper employs the TOE model. The collected data from stakeholders will be subjected to analysis using the PLS-SEM with the assistance of the SmartPLS software tool. By utilizing the TOE model and employing rigorous analytical techniques, this research paper intends to provide insights into the readiness of stakeholders in the fashion industry for blockchain adoption. Ultimately, this research aims to contribute to understanding blockchain technology in the fashion industry and pave the way for its successful implementation in the supply chain

    Development of a Hybrid App based on a REST API

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    This paper examines the theoretical principles and applications of Application Programming Interfaces (APIs), and particularly, the REST (Representational State Transfer) architectural style. Striving to connect diverse software systems across the internet, API developers have worked on creating unified standards and best practices. REST has emerged as the dominant paradigm for API design thanks to its simplicity, scalability, and robust security features. Furthermore, guidelines for providing well-documented and designed APIs and the appropriate status codes and representation formats are examined. Finally, to illustrate these principles with a practical application, a public REST API from a massive multiplayer online game “World of Warcraft” is used as an example. Seamlessly integrated with an Ionic and Angular hybrid application, it helps players track ever-changing game data whenever they want, both from their PCs and phones

    Digital Twins of Road Signage: Leveraging AI and RFID for Improved Road Safety

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    This paper explores ways to enhance road safety using advanced technology. The main idea is to apply RFID technology and AI to improve driver behavior and address potential hazards caused by drivers ignoring traffic signs, which can lead to dangerous incidents. We propose a digital twin model of road signage that processes data received through In-Vehicle Monitoring Systems (IVMS) and Radio-Frequency Identification (RFID) tags. This data, analyzed with AI, provides final estimates and predictions in the form of instructions to drivers, as well as to Road Maintenance and Road Design departments. In conclusion, this model can synchronize and improve all road safety pillars: driver, vehicle, and road. Drivers, through warning messages about potential incidents, become safer drivers. Vehicles, applying these IVMS improvements, become safer vehicles. Roads, applying RFID tags, creating Digital twins of road signage and the ability to change infrastructure based on AI data, become safer roads

    Decentralized Phr Application

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    Patients face challenges such as a lack of trust in the healthcare system, difficulties in securely storing and accessing their data, as well as fragmentation of health records across multiple providers. This paper presents a detailed overview of the design of a decentralized Personal Health Record (PHR) application. Additionally, the paper includes a detailed description of creating B2C smart contracts using the Solidity programming language. Through a review of existing PHR applications based on blockchain, we introduce our innovative decentralized PHR application, highlighting its ability to effectively integrate patient data from various sources while preserving privacy and data security. Furthermore, we discuss the business model of our application and its contribution to enhancing the healthcare ecosystem, emphasizing the benefits it provides to both users and healthcare providers

    ENTREPRENEURIAL ENTHUSIASM AND INSTITUTIONAL SUPPORT: AN ANALYSIS OF YOUTH PERSPECTIVES IN THE REPUBLIC OF SERBIA

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    Many factors influence how entrepreneurship is perceived in specific societies. This paper will delve into what young individuals believe to be the crucial elements for initiating a business and to what extent institutions in the Republic of Serbia contribute to this. In conclusion, the paper will outline measures to encourage young people to embrace an entrepreneurial spirit. Strive to incorporate phrases that complement the text for coherence during your conference presentation. The biggest challenges for young people in starting a business are finances and networking, while the institution that provides the greatest support for starting a business is the university

    Uncovering the Hidden Insights of the Government AI Readiness Index: Application of Fuzzy LMAW and Schweizer-Sklar Weighted Framework

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    There is considerable promising in artificial intelligence (AI) and algorithms, with governments worldwide increasingly investing in this transformative technology. The potential benefits include improved performance, cost reduction, efficient management, and crimeprediction and prevention, among others. The AI era holds the promise of revolutionizing various aspects of society. However, as countries prepare to leverage the power of artificial intelligence, questions arise about the validity of rankings published on the readiness of the governments for the application of AI. In this article, the weighting criteria that are analysed in the Oxford Insights AI Readiness Index are scrutinized, aiming to provide a more accurate assessment. Instead of conventional averaging, arithmetic and geometric non-linear functions are employed to analyse and assess the rank of the countries. Through clustering analysis, countries are categorized into three distinct groups based on observed criteria, offering a nuanced perspective on government AI readiness. This clustering approach not only facilitates a more effective categorization of countries based on their AI preparedness, but also accentuates the variations and similarities within each cluster, which enables deeper insights intoregional trends and pinpoint targeted strategies for enhancement within each cluster

    QUALITY 5.0 ACHIEVEMENTS OF HEIs – THE BALANCED SCORECARD CUSTOMER PERSPECTIVE

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    Increased interaction between humans and machines, known as Industry 5.0, is a relatively new research area of particular significance in higher education. Considering that higher education institutions are the drivers of societal development as a whole, Industry 5.0, as a new paradigm, should be supported in the field of higher education. In the global era of challenges, higher education institutions face increasing competition, making significant efforts to improve their institutional position. Based on this, the Balanced Scorecard model is used to measure and enhance organisational performance. The aim of this research is to explore the factors of the Balanced Scorecard Customer Perspective as achievements of Industry 5.0 within higher education institutions. The results show that the highest-rated variable relates to a direct connection with student satisfaction, recognising that student satisfaction is a crucial indicator of the quality level of higher education institutions

    QUALITY 5.0 ACHIEVEMENTS OF HEIs – THE BALANCED SCORECARD CUSTOMER PERSPECTIVE

    No full text
    Increased interaction between humans and machines, known as Industry 5.0, is a relatively new research area of particular significance in higher education. Considering that higher education institutions are the drivers of societal development as a whole, Industry 5.0, as a new paradigm, should be supported in the field of higher education. In the global era of challenges, higher education institutions face increasing competition, making significant efforts to improve their institutional position. Based on this, the Balanced Scorecard model is used to measure and enhance organisational performance. The aim of this research is to explore the factors of the Balanced Scorecard Customer Perspective as achievements of Industry 5.0 within higher education institutions. The results show that the highest-rated variable relates to a direct connection with student satisfaction, recognising that student satisfaction is a crucial indicator of the quality level of higher education institutions

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