JITA

JITA Journal of Information Technology and Applications

Digital Transformation as a Starter of the Creation of new Economic Business Models

Vol. 14 No. 1 (2024): JITA – APEIRON Nataša Đalić, Živko Erceg Digital Transformation as a Starter of the Creation of new Economic Business Models Review paper DOI: https://doi.org/10.7251/JIT2401055DJ Download Article PDF Abstract Digital transformation refers to major changes occurring in all sectors of the economy and society, as a result of the introduction and integration of digital technologies into every segment of human life. The subject of research work is the contribution of the process of digitization and digital transformation to the improvement of the business processes of companies in Bosnia and Herzegovina. One of the sources of competitive advantage of modern companies is digital technology, which, due to the accelerated development of information and communication technologies, is changing the way of functioning and adapting to a more innovative way of doing business. The problem of research work manifests itself through the question of whether the application of digital technology and digitization affects the business operations of companies and the choice of their business strategy, and whether digital transformation can represent the strategic determination of companies in Bosnia and Herzegovina in modern business conditions. The goal of the research is to investigate the meaning, characteristics, and role and functions of digitization and digital transformation in the business of the company. The paper will present a comparative analysis of the digitization process of business in Bosnia and Herzegovina with the European Union. Keywords: digitization, digital transformation, digital economy, new economic business models Paper received: 19.1.2024.Paper accepted: 28.3.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Nataša Đalić, Živko Erceg Digital Transformation As A Starter Of The Creation Of New Economic Business Models Review paper DOI: Https://Doi.Org/10.7251/JIT2401055DJ Download Article PDF Abstract Digital transformation refers to major changes occurring in all sectors of the economy and society, as a result of the introduction and integration of digital technologies into every segment of human life. The subject of research work is the contribution of the process of digitization and digital transformation to the improvement of the business processes of companies in Bosnia and Herzegovina. One of the sources of competitive advantage of modern companies is digital technology, which, due to the accelerated development of information and communication technologies, is changing the way of functioning and adapting to a more innovative way of doing business. The problem of research work manifests itself through the question of whether the application of digital technology and digitization affects the business operations of companies and the choice of their business strategy, and whether digital transformation can represent the strategic determination of companies in Bosnia and Herzegovina in modern business conditions. The goal of the research is to investigate the meaning, characteristics, and role and functions of digitization and digital transformation in the business of the company. The paper will present a comparative analysis of the digitization process of business in Bosnia and Herzegovina with the European Union. Keywords: Digitization, Digital Transformation, Digital Economy, New Economic Business Models Paper received: 19.1.2024.Paper accepted: 28.3.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Nataša Đalić, Živko Erceg Digital Transformation As A Starter Of The Creation Of New Economic Business Models Review paper DOI: Https://Doi.Org/10.7251/JIT2401055DJ Download Article PDF Abstract Digital transformation refers to major changes occurring in all sectors of the economy and society, as a result of the introduction and integration of digital technologies into every segment of human life. The subject of research work is the contribution of the process of digitization and digital transformation to the improvement of the business processes of companies in Bosnia and Herzegovina. One of the sources of competitive advantage of modern companies is digital technology, which, due to the accelerated development of information and communication technologies, is changing the way of functioning and adapting to a more innovative way of doing business. The problem of research work manifests itself through the question of whether the application of digital technology and digitization affects the business operations of companies and the choice of their business strategy, and whether digital transformation can represent the strategic determination of companies in Bosnia and Herzegovina in modern business conditions. The goal of the research is to investigate the meaning, characteristics, and role and functions of digitization and digital transformation in the business of the company. The paper will present a comparative analysis of the digitization process of business in Bosnia and Herzegovina with the European Union. Keywords: Digitization, Digital Transformation, Digital Economy, New Economic Business Models Paper received: 19.1.2024.Paper accepted: 28.3.2024.

Framework of Digital Transformation Readiness at a Major Company

Vol. 14 No. 1 (2024): JITA – APEIRON Krunoslav Ris, Tomislav Radoš Framework of Digital Transformation Readiness at a Major Company Review paper DOI: https://doi.org/10.7251/JIT2401047R Download Article PDF Abstract Modern business, based on modern technologies, require strategy initiative that  incorporates  different  forms  of digital technologies across all areas of the organisation, with aim to identify ways to improve operational efficiency and faster comercialisation of products or services. Digital transformation is becoming important strategy for each organisation to meet these objectives. This study presents an in-depth evaluation of a company’s readiness for digital transformation. Employing a methodical approach that includes extensive stakeholder interviews and a meticulously designed digital readiness survey, this research identifies critical areas where technological enhancement and strategic digital deployment could significantly improve organizational efficiency and competitiveness on a global scale. The paper outlines a framework tailored to guide enterprises through their digital transformation journeys effectively, facilitating better operational efficiencies and sustainable growth. Keywords: Digital Transformation Strategy, Organizational Readiness, Operational Efficiency, Competitive Strategy, Change Management, Innovation Culture Paper received: 29.4.2024.Paper accepted: 14.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Krunoslav Ris, Tomislav Radoš Framework Of Digital Transformation Readiness At A Major Company Review paper DOI: Https://Doi.Org/10.7251/JIT2401047R Download Article PDF Abstract Modern business, based on modern technologies, require strategy initiative that  incorporates  different  forms  of digital technologies across all areas of the organisation, with aim to identify ways to improve operational efficiency and faster comercialisation of products or services. Digital transformation is becoming important strategy for each organisation to meet these objectives. This study presents an in-depth evaluation of a company’s readiness for digital transformation. Employing a methodical approach that includes extensive stakeholder interviews and a meticulously designed digital readiness survey, this research identifies critical areas where technological enhancement and strategic digital deployment could significantly improve organizational efficiency and competitiveness on a global scale. The paper outlines a framework tailored to guide enterprises through their digital transformation journeys effectively, facilitating better operational efficiencies and sustainable growth. Keywords: Digital Transformation Strategy, Organizational Readiness, Operational Efficiency, Competitive Strategy, Change Management, Innovation Culture Paper received: 29.4.2024.Paper accepted: 14.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Krunoslav Ris, Tomislav Radoš Framework Of Digital Transformation Readiness At A Major Company Review paper DOI: Https://Doi.Org/10.7251/JIT2401047R Download Article PDF Abstract Modern business, based on modern technologies, require strategy initiative that  incorporates  different  forms  of digital technologies across all areas of the organisation, with aim to identify ways to improve operational efficiency and faster comercialisation of products or services. Digital transformation is becoming important strategy for each organisation to meet these objectives. This study presents an in-depth evaluation of a company’s readiness for digital transformation. Employing a methodical approach that includes extensive stakeholder interviews and a meticulously designed digital readiness survey, this research identifies critical areas where technological enhancement and strategic digital deployment could significantly improve organizational efficiency and competitiveness on a global scale. The paper outlines a framework tailored to guide enterprises through their digital transformation journeys effectively, facilitating better operational efficiencies and sustainable growth. Keywords: Digital Transformation Strategy, Organizational Readiness, Operational Efficiency, Competitive Strategy, Change Management, Innovation Culture Paper received: 29.4.2024.Paper accepted: 14.5.2024.

Digital Identification from Smart Card to Digital Wallet-Eu Legal Framework and Situation in Bosnia and HerzegovinaDigital Identification from Smart Card to Digital Wallet

Vol. 14 No. 1 (2024): JITA – APEIRON Siniša Macan Digital Identification from Smart Card to Digital Wallet –Eu Legal Framework and Situation in Bosnia and Herzegovina Review paper DOI: https://doi.org/10.7251/JIT2401037M Download Article PDF Abstract Information technologies and the entirely new digital world are experiencing significant development in the second and third decades of the twenty-first century. This development has led to the need to realize the concept of legal regulation of cyberspace, especially in the segment of digital identification. Digital identification is necessary to ensure security as well as the protection of personal data. Additionally, digital identification must guarantee the reliability and trust of signatories in the technologies used. The regulations adopted in previous years implied the existence of a PKI infrastructure and the storage of the private key by the signatory. However, the development of technologies and the widespread use of mobile and smart devices have generated the need for remote signing, cloud-based signing, and the creation of digital wallet techniques. It is precisely in this segment that the regulations have been amended. The paper presents EU regulations in this area and the situation in Bosnia and Herzegovina. It is particularly emphasized that the use of reliable legally grounded digital identification has not yet begun to be implemented in Bosnia and Herzegovina, and that it is necessary to establish practices and systems based on legal regulations that are aligned with the EU, as well as with the legal framework in Bosnia and Herzegovina. Keywords: Digital identity, eID, digital wallet, eIDAS, eIDAS 2.0 Paper received: 9.5.2024.Paper accepted: 16.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Siniša Macan Digital Identification From Smart Card To Digital Wallet –Eu Legal Framework And Situation In Bosnia And Herzegovina Review paper DOI: Https://Doi.Org/10.7251/JIT2401037M Download Article PDF Abstract Information technologies and the entirely new digital world are experiencing significant development in the second and third decades of the twenty-first century. This development has led to the need to realize the concept of legal regulation of cyberspace, especially in the segment of digital identification. Digital identification is necessary to ensure security as well as the protection of personal data. Additionally, digital identification must guarantee the reliability and trust of signatories in the technologies used. The regulations adopted in previous years implied the existence of a PKI infrastructure and the storage of the private key by the signatory. However, the development of technologies and the widespread use of mobile and smart devices have generated the need for remote signing, cloud-based signing, and the creation of digital wallet techniques. It is precisely in this segment that the regulations have been amended. The paper presents EU regulations in this area and the situation in Bosnia and Herzegovina. It is particularly emphasized that the use of reliable legally grounded digital identification has not yet begun to be implemented in Bosnia and Herzegovina, and that it is necessary to establish practices and systems based on legal regulations that are aligned with the EU, as well as with the legal framework in Bosnia and Herzegovina. Keywords: Digital Identity, EID, Digital Wallet, EIDAS, EIDAS 2.0 Paper received: 9.5.2024.Paper accepted: 16.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Siniša Macan Digital Identification From Smart Card To Digital Wallet –Eu Legal Framework And Situation In Bosnia And Herzegovina Review paper DOI: Https://Doi.Org/10.7251/JIT2401037M Download Article PDF Abstract Information technologies and the entirely new digital world are experiencing significant development in the second and third decades of the twenty-first century. This development has led to the need to realize the concept of legal regulation of cyberspace, especially in the segment of digital identification. Digital identification is necessary to ensure security as well as the protection of personal data. Additionally, digital identification must guarantee the reliability and trust of signatories in the technologies used. The regulations adopted in previous years implied the existence of a PKI infrastructure and the storage of the private key by the signatory. However, the development of technologies and the widespread use of mobile and smart devices have generated the need for remote signing, cloud-based signing, and the creation of digital wallet techniques. It is precisely in this segment that the regulations have been amended. The paper presents EU regulations in this area and the situation in Bosnia and Herzegovina. It is particularly emphasized that the use of reliable legally grounded digital identification has not yet begun to be implemented in Bosnia and Herzegovina, and that it is necessary to establish practices and systems based on legal regulations that are aligned with the EU, as well as with the legal framework in Bosnia and Herzegovina. Keywords: Digital Identity, EID, Digital Wallet, EIDAS, EIDAS 2.0 Paper received: 9.5.2024.Paper accepted: 16.5.2024.

Use of AI applications in providing free legal assistance to citizens of BiH

Vol. 14 No. 1 (2024): JITA – APEIRON Admir Agić, Boško Jefić Use of AI applications in providing free legal assistance to citizens of BiH Preliminary communication DOI: https://doi.org/10.7251/JIT2401029A Download Article PDF Abstract This article explores the integration of advanced AI technologies, including Python, Gradio, Langchain and Vector database to develop an innovative AI chatbot for legal assistance in Bosnia and Herzegovina. Leveraging cutting-edge models such as Mixtral8x7B and NVIDIA AI endpoints, the chatbot demonstrates enhanced conversational abilities, real-time recommendations, and efficient processing of Bosnian language inputs. Through meticulous tuning and optimization, the system achieves unparalleled accuracy in capturing semantic relationships and delivers contextually relevant responses. Challenges in language processing, ethical considerations, and privacy concerns are addressed through collaborative efforts and proactive measures. The study highlights the significance of technological advancements in AI for bridging language barriers, promoting social inclusion, and ensuring equitable access to legal assistance. Keywords: Artificial Intelligence Chatbot, Legal Assistance, Bosnia and Herzegovina, Real-time Recommendations, Large Language Models, Vector Database and Embeddings Paper received: 30.4.2024.Paper accepted: 18.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Admir Agić, Boško Jefić Use Of AI Applications In Providing Free Legal Assistance To Citizens Of BiH Preliminary communication DOI: Https://Doi.Org/10.7251/JIT2401029A Download Article PDF Abstract This article explores the integration of advanced AI technologies, including Python, Gradio, Langchain and Vector database to develop an innovative AI chatbot for legal assistance in Bosnia and Herzegovina. Leveraging cutting-edge models such as Mixtral8x7B and NVIDIA AI endpoints, the chatbot demonstrates enhanced conversational abilities, real-time recommendations, and efficient processing of Bosnian language inputs. Through meticulous tuning and optimization, the system achieves unparalleled accuracy in capturing semantic relationships and delivers contextually relevant responses. Challenges in language processing, ethical considerations, and privacy concerns are addressed through collaborative efforts and proactive measures. The study highlights the significance of technological advancements in AI for bridging language barriers, promoting social inclusion, and ensuring equitable access to legal assistance. Keywords: Artificial Intelligence Chatbot, Legal Assistance, Bosnia And Herzegovina, Real-Time Recommendations, Large Language Models, Vector Database And Embeddings Paper received: 30.4.2024.Paper accepted: 18.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Admir Agić, Boško Jefić Use Of AI Applications In Providing Free Legal Assistance To Citizens Of BiH Preliminary communication DOI: Https://Doi.Org/10.7251/JIT2401029A Download Article PDF Abstract This article explores the integration of advanced AI technologies, including Python, Gradio, Langchain and Vector database to develop an innovative AI chatbot for legal assistance in Bosnia and Herzegovina. Leveraging cutting-edge models such as Mixtral8x7B and NVIDIA AI endpoints, the chatbot demonstrates enhanced conversational abilities, real-time recommendations, and efficient processing of Bosnian language inputs. Through meticulous tuning and optimization, the system achieves unparalleled accuracy in capturing semantic relationships and delivers contextually relevant responses. Challenges in language processing, ethical considerations, and privacy concerns are addressed through collaborative efforts and proactive measures. The study highlights the significance of technological advancements in AI for bridging language barriers, promoting social inclusion, and ensuring equitable access to legal assistance. Keywords: Artificial Intelligence Chatbot, Legal Assistance, Bosnia And Herzegovina, Real-Time Recommendations, Large Language Models, Vector Database And Embeddings Paper received: 30.4.2024.Paper accepted: 18.5.2024.

E-Commerce Management – Exploring User Preferences from the Territory of the Bosnia and Herzegovina

Vol. 14 No. 1 (2024): JITA – APEIRON Aleksandra Vidović E-Commerce Management – Exploring User Preferences from the Territory of the Bosnia and Herzegovina Original research paper DOI: https://doi.org/10.7251/JIT2401023V Download Article PDF Abstract Electronic or Internet commerce is the process of buying, selling, transferring, and exchanging products, services, or information through computer networks. With the rapid development of information technology, collaborative consumption supported by platforms is becoming attractive to consumers. It enables quick and straightforward communication, transmission of information over long distances, easy publication of various documents, and transactions via the Internet. The goal of every trading company is to understand each client individually and use this understanding to facilitate the customer’s decision to work with a specific company -rather than the competition. Online shopping is experiencing exponential growth and has many advantages compared to traditional shopping. Hence, the goal of the research is to examine the impact of modern electronic solutions on shopping. The research subject is related to determining the attitudes and decisions of consumers on the issue and making the final decision about the purchase using electronic services. The purpose of the research is to present a set of activities that affect the success of electronic commerce. From the comparative study of consumer behavior, the hypothesis was tested where H0 – electronic commerce has a significant impact on the behavior of consumers of this type of commerce. The research conclusions refer to the observation of variables that can be useful when making more effective decisions in the future. Keywords: electronic commerce, management, buyers, sellers Paper received: 8.4.2024.Paper accepted: 19.4.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Aleksandra Vidović E-Commerce Management – Exploring User Preferences From The Territory Of The Bosnia And Herzegovina Original research paper DOI: Https://Doi.Org/10.7251/JIT2401023V Download Article PDF Abstract Electronic or Internet commerce is the process of buying, selling, transferring, and exchanging products, services, or information through computer networks. With the rapid development of information technology, collaborative consumption supported by platforms is becoming attractive to consumers. It enables quick and straightforward communication, transmission of information over long distances, easy publication of various documents, and transactions via the Internet. The goal of every trading company is to understand each client individually and use this understanding to facilitate the customer’s decision to work with a specific company -rather than the competition. Online shopping is experiencing exponential growth and has many advantages compared to traditional shopping. Hence, the goal of the research is to examine the impact of modern electronic solutions on shopping. The research subject is related to determining the attitudes and decisions of consumers on the issue and making the final decision about the purchase using electronic services. The purpose of the research is to present a set of activities that affect the success of electronic commerce. From the comparative study of consumer behavior, the hypothesis was tested where H0 – electronic commerce has a significant impact on the behavior of consumers of this type of commerce. The research conclusions refer to the observation of variables that can be useful when making more effective decisions in the future. Keywords: Electronic Commerce, Management, Buyers, Sellers Paper received: 8.4.2024.Paper accepted: 19.4.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Aleksandra Vidović E-Commerce Management – Exploring User Preferences From The Territory Of The Bosnia And Herzegovina Original research paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract Electronic or Internet commerce is the process of buying, selling, transferring, and exchanging products, services, or information through computer networks. With the rapid development of information technology, collaborative consumption supported by platforms is becoming attractive to consumers. It enables quick and straightforward communication, transmission of information over long distances, easy publication of various documents, and transactions via the Internet. The goal of every trading company is to understand each client individually and use this understanding to facilitate the customer’s decision to work with a specific company -rather than the competition. Online shopping is experiencing exponential growth and has many advantages compared to traditional shopping. Hence, the goal of the research is to examine the impact of modern electronic solutions on shopping. The research subject is related to determining the attitudes and decisions of consumers on the issue and making the final decision about the purchase using electronic services. The purpose of the research is to present a set of activities that affect the success of electronic commerce. From the comparative study of consumer behavior, the hypothesis was tested where H0 – electronic commerce has a significant impact on the behavior of consumers of this type of commerce. The research conclusions refer to the observation of variables that can be useful when making more effective decisions in the future. Keywords: Electronic Commerce, Management, Buyers, Sellers Paper received: 8.4.2024.Paper accepted: 19.4.2024.

Enhancing Marketing Intelligence in the Insurance Sector: A Study in the Belgrade Region

Vol. 14 No. 1 (2024): JITA – APEIRON Nikola Medan Enhancing Marketing Intelligence in the Insurance Sector: A Study in the Belgrade Region Original research paper DOI: https://doi.org/10.7251/JIT2401017M Download Article PDF Abstract In the rapidly evolving landscape of data-driven business, marketing intelligence has become a cornerstone for organizational success. This entails the systematic collection, analysis, and interpretation of vast data sets, empowering businesses to make strategic marketing decisions. Employing techniques like data mining, machine learning, and sentiment analysis, marketing intelligence uncovers hidden patterns, identifies opportunities, and predicts challenges. A pivotal outcome is enhanced customer understanding through detailed profiles derived from sources like social media, website interactions, and purchase history. This depth of insight allows for the creation of personalized, precisely targeted campaigns, fostering stronger customer relationships and loyalty. Moreover, marketing intelligence facilitates data-driven decisions aligned with overarching business goals, optimizing resource allocation, budgeting, and strategic planning. Utilizing software solutions such as RapidMiner, organizations gain efficiency in data analysis, machine learning, and predictive analytics. Net Promoter Score (NPS) acts as a key metric, gauging customer sentiment and likelihood to recommend products or services. This paper focuses on evaluating customer satisfaction in the insurance sector, aiming to propose enhancements for service quality based on existing research results. Through a comprehensive examination of customer satisfaction levels, the study seeks to provide actionable insights for continual improvement. Keywords: Marketing intelligence, Customer satisfaction, Data-driven decision making, RapidMiner Paper received: 18.1.2024.Paper accepted: 28.3.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Nikola Medan Enhancing Marketing Intelligence In The Insurance Sector: A Study In The Belgrade Region Original research paper DOI: Https://Doi.Org/10.7251/JIT2401017M Download Article PDF Abstract In the rapidly evolving landscape of data-driven business, marketing intelligence has become a cornerstone for organizational success. This entails the systematic collection, analysis, and interpretation of vast data sets, empowering businesses to make strategic marketing decisions. Employing techniques like data mining, machine learning, and sentiment analysis, marketing intelligence uncovers hidden patterns, identifies opportunities, and predicts challenges. A pivotal outcome is enhanced customer understanding through detailed profiles derived from sources like social media, website interactions, and purchase history. This depth of insight allows for the creation of personalized, precisely targeted campaigns, fostering stronger customer relationships and loyalty. Moreover, marketing intelligence facilitates data-driven decisions aligned with overarching business goals, optimizing resource allocation, budgeting, and strategic planning. Utilizing software solutions such as RapidMiner, organizations gain efficiency in data analysis, machine learning, and predictive analytics. Net Promoter Score (NPS) acts as a key metric, gauging customer sentiment and likelihood to recommend products or services. This paper focuses on evaluating customer satisfaction in the insurance sector, aiming to propose enhancements for service quality based on existing research results. Through a comprehensive examination of customer satisfaction levels, the study seeks to provide actionable insights for continual improvement. Keywords: Marketing Intelligence, Customer Satisfaction, Data-Driven Decision Making, RapidMiner Paper received: 18.1.2024.Paper accepted: 28.3.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Nikola Medan Enhancing Marketing Intelligence In The Insurance Sector: A Study In The Belgrade Region Original research paper DOI: Https://Doi.Org/10.7251/JIT2401017M Download Article PDF Abstract In the rapidly evolving landscape of data-driven business, marketing intelligence has become a cornerstone for organizational success. This entails the systematic collection, analysis, and interpretation of vast data sets, empowering businesses to make strategic marketing decisions. Employing techniques like data mining, machine learning, and sentiment analysis, marketing intelligence uncovers hidden patterns, identifies opportunities, and predicts challenges. A pivotal outcome is enhanced customer understanding through detailed profiles derived from sources like social media, website interactions, and purchase history. This depth of insight allows for the creation of personalized, precisely targeted campaigns, fostering stronger customer relationships and loyalty. Moreover, marketing intelligence facilitates data-driven decisions aligned with overarching business goals, optimizing resource allocation, budgeting, and strategic planning. Utilizing software solutions such as RapidMiner, organizations gain efficiency in data analysis, machine learning, and predictive analytics. Net Promoter Score (NPS) acts as a key metric, gauging customer sentiment and likelihood to recommend products or services. This paper focuses on evaluating customer satisfaction in the insurance sector, aiming to propose enhancements for service quality based on existing research results. Through a comprehensive examination of customer satisfaction levels, the study seeks to provide actionable insights for continual improvement. Keywords: Marketing Intelligence, Customer Satisfaction, Data-Driven Decision Making, RapidMiner Paper received: 18.1.2024.Paper accepted: 28.3.2024.

Importance of knowledge management for CI/CD and Security in Autonomous Vehicles Systems

Vol. 14 No. 1 (2024): JITA – APEIRON Pavle Dakić Importance of knowledge management for CI/CD and Security in Autonomous Vehicles Systems Original research paper DOI: https://doi.org/10.7251/JIT2401007D Download Article PDF Abstract The development of autonomous vehicles (AV) entails complex design, production, testing, and deployment procedures that require excellent information and knowledge management in the event of security breaches. As researchers and managers, we must have a good understanding of the development of AV technology. Communication and information exchange, as well as knowledge management (KM) strategies and approaches, are undoubtedly important components. The most difficult challenge is to save the lives of drivers and passengers who use and travel in an AV that is partially or entirely managed by a machine learning model (ML) and artificial intelligence (AI). In this paper, we attempt to investigate the manufacturing process of AVs and intelligent vehicles (IVs), emphasizing the importance of information management (IM) within the factory and processes that are not explicitly articulated in the majority of scenarios. Furthermore, we discuss our method for using the knowledge management life cycle for information exchange in an organization, which could allow for faster and more efficient resolution of security issues within vehicle operating systems. This study seeks to provide an essential theoretical foundation to characterize the future scope of integrated manufacturing, which integrates software and the industry that employs it within the vehicle. Keywords: autonomous vehicles, knowledge management, artificial intelligence, system integration, safety and security, System design with modeling and deployment Paper received: 9.5.2024.Paper accepted: 15.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Pavle Dakić Importance Of Knowledge Management For CI/CD And Security In Autonomous Vehicles Systems Original research paper DOI: https://doi.org/10.7251/JIT2401007D Download Article PDF Abstract The development of autonomous vehicles (AV) entails complex design, production, testing, and deployment procedures that require excellent information and knowledge management in the event of security breaches. As researchers and managers, we must have a good understanding of the development of AV technology. Communication and information exchange, as well as knowledge management (KM) strategies and approaches, are undoubtedly important components. The most difficult challenge is to save the lives of drivers and passengers who use and travel in an AV that is partially or entirely managed by a machine learning model (ML) and artificial intelligence (AI). In this paper, we attempt to investigate the manufacturing process of AVs and intelligent vehicles (IVs), emphasizing the importance of information management (IM) within the factory and processes that are not explicitly articulated in the majority of scenarios. Furthermore, we discuss our method for using the knowledge management life cycle for information exchange in an organization, which could allow for faster and more efficient resolution of security issues within vehicle operating systems. This study seeks to provide an essential theoretical foundation to characterize the future scope of integrated manufacturing, which integrates software and the industry that employs it within the vehicle. Keywords: Autonomous Vehicles, Knowledge Management, Artificial Intelligence, System Integration, Safety And Security, System Design With Modeling And Deployment Paper received: 9.5.2024.Paper accepted: 15.5.2024. Vol. 14 No. 1 (2024): JITA – APEIRON Pavle Dakić Importance Of Knowledge Management For CI/CD And Security In Autonomous Vehicles Systems Original research paper DOI: Https://Doi.Org/10.7251/JIT2401007D Download Article PDF Abstract The development of autonomous vehicles (AV) entails complex design, production, testing, and deployment procedures that require excellent information and knowledge management in the event of security breaches. As researchers and managers, we must have a good understanding of the development of AV technology. Communication and information exchange, as well as knowledge management (KM) strategies and approaches, are undoubtedly important components. The most difficult challenge is to save the lives of drivers and passengers who use and travel in an AV that is partially or entirely managed by a machine learning model (ML) and artificial intelligence (AI). In this paper, we attempt to investigate the manufacturing process of AVs and intelligent vehicles (IVs), emphasizing the importance of information management (IM) within the factory and processes that are not explicitly articulated in the majority of scenarios. Furthermore, we discuss our method for using the knowledge management life cycle for information exchange in an organization, which could allow for faster and more efficient resolution of security issues within vehicle operating systems. This study seeks to provide an essential theoretical foundation to characterize the future scope of integrated manufacturing, which integrates software and the industry that employs it within the vehicle. Keywords: Autonomous Vehicles, Knowledge Management, Artificial Intelligence, System Integration, Safety And Security, System Design With Modeling And Deployment Paper received: 9.5.2024.Paper accepted: 15.5.2024.

Comparable Evaluation of Contemporary Corpus-Based and Knowledge-Based Semantic Similarity Measures of Short Texts

Vol. 1 No. 1 (2011): JITA – APEIRON Bojan Furlan, Vladimir Sivački, Davor Jovanović, Boško Nikolić Comparable Evaluation of Contemporary Corpus-Based and Knowledge-Based Semantic Similarity Measures of Short Texts Original scientific paper DOI: https://doi.org/10.7251/JIT1101065F Download Article PDF Abstract This paper presents methods for measuring the semantic similarity of texts, where we evaluated different approaches based on existing similarity measures. On one side word similarity was calculated by processing large text corpuses and on the other, commonsense knowledgebase was used. Given that a large fraction of the information available today, on the Web and elsewhere, consists of short text snippets (e.g. abstracts of scientific documents, image captions or product descriptions), where commonsense knowledge has an important role, in this paper we focus on computing the similarity between two sentences or two short paragraphs by extending existing measures with information from the ConceptNet knowledgebase. On the other hand, an extensive research has been done in the field of corpus-based semantic similarity, so we also evaluated existing solutions by imposing some modifications. Through experiments performed on a paraphrase data set, we demonstrate that some of proposed approaches can improve the semantic similarity measurement of short text. Keywords: semantic similarity, corpus-based, knowledge-based. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Measuring the Characteristics of DG CAC Algorithm

Vol. 1 No. 1 (2011): JITA – APEIRON Goran Đukanović, Milan Šunjevarić, Nataša Gospić Measuring the Characteristics of DG CAC Algorithm Original scientific paper DOI: https://doi.org/10.7251/JIT1101060DJ Download Article PDF Abstract Users today expect email and instant messaging access, surf, video games and other services through mobile broadband access networks. In order to support this increasing data traffic, advanced resource management has to be implemented. As CAC (Call Admission Control) algorithm plays an important role in this resource management, comparing of two proposed call admission control algorithms has been done in this paper. Algorithms are tested in simulation environment, for two different periods of time. They showed expected characteristics in both 1000 and 10000 seconds periods, and newly proposed DG CAC algorithm showed better results than other algorithm, in number of handover requests, and in the way of returning resources to degraded connections. Keywords: CAC, QoS, UMTS, Wireless. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.

Extraction of Information in the Context of Business Inteligence

Vol. 1 No. 1 (2011): JITA – APEIRON Branko Latinović Extraction of Information in the Context of Business Inteligence Original scientific paper DOI: https://doi.org/10.7251/JIT1101054L Download Article PDF Abstract Business Intelligence in the developed business systems allows better reasoning and decision making. ETL processes represent the most important processes in the system of Business Intelligence. It is about extracting, transforming, and filling a Data Warehouse with data which then transforms into data that is by its nature new and presented in a way that is meaningful and useful in an actual business organization. In conjunction with the methods of Information Extraction, knowledge is significantly expanded and given a completely new image. Intention is the collection of data that is available and processing the same in one place, regardless of whether the data was in a structural form or any other. Keywords: Business Intelligence, Data Warehouse, Information Extraction. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators. Vol. 26 No. 2 (2023): JITA – APEIRON Igor Shubinsky, Alexey Ozerov Application of Artificial Intelligence Methods for the Prediction of Hazardous Failures Original scientific paper DOI: https://doi.org/10.7251/JIT2302061S Download Article PDF Abstract The availability of real-time data on the state of railway facilities and the state-of-the art technologies for data collection and analysis allow transition to the fourth generation maintenance. It is based on the prediction of the facility functional safety and dependability and the risk-oriented facility management. The article describes an approach to assessing the risks of hazardous facility failures using the latest digital data processing methods. The implementation of this approach will help set maintenance objectives and contribute to the efficient use of resources and the reduction of railway facility managers’ expenditures. Keywords: predictive analysis, maintenance, functional safety, Big Data, Data Science, risk indicators.