E-business technologies conference proceedings

Analysis of Factors Influencing Website Conversion Rate

Urvika Murarka — Sat, 10 Jun 2023 00:00:00 +0000

While designing the websites and determining the content for e-business, the conversion rate in terms of purchases done through the website is an important consideration. This paper attempts to analyze the various factors influencing the website conversion rate through a two stage approach with confirmatory factor analysis followed by multiple regression analysis. Data was collected through an online survey of Indian consumers. Attitude towards online shopping, price value, information quality of website, ease of navigation, and e-WoM were found to be significant factors influencing website conversion rate.

The Impact of Social Media Influencers on Consumer Behavior in Digital Marketing

Isidora Todorov, Katarina Lazarević, Mila Cvetković — Sat, 10 Jun 2023 00:00:00 +0000

This paper presents key insights about the impact and effects of social media influencers on consumer behaviour. According to researched studies, social media influencers impact consumer behaviour in emotional and cognitive context, also impacting their decisions of purchasing and consuming products. An examination of positive and negative effects on consumer psychology impacted by influencers is also provided in order to fully understand consequences of influencer type digital marketing.

Adoption of Digital Marketing Technologies in Indian Healthcare Sector

Hitansh Gupta — Sat, 10 Jun 2023 00:00:00 +0000

This study aims at assessing the factors influencing the adoption of digital marketing technologies in the Healthcare Service Sector of India and to investigate the challenges as well as efficacy of digital marketing in Healthcare Sector in India. The study is based on a decomposed version of Technology Acceptance Model employing the PLS-SEM technique. The major constructs of TAM – Perceived Usefulness and Perceived Ease of Use have been measured as constructs decomposed into the their subdimensions as derived from previous literature and hence this study contributes to the existing literature which is lacking in this type of sub-dimensional analysis using TAM. Results reveal that both perceived usefulness and perceived challenges have a significant effect on attitude towards digital marketing and further the adoption of digital marketing technologies.

E-commerce and Ethics: Insights from Industry Practitioners

Manoj Kumar Kamila, Sahil Singh Jasrotia, Pooja Kushwaha, Shagun Chib — Sat, 10 Jun 2023 00:00:00 +0000

The advent of e-commerce has brought about substantial changes in the operational landscape of businesses and consumer purchasing patterns, leading to a multitude of advantages and improved efficacy. The exponential expansion of electronic commerce has prompted ethical considerations that require meticulous examination to establish a viable and socially conscientious electronic commerce environment. The objective of this investigation is to examine the ethical dimensions of electronic commerce, as perceived by professionals in the industry. The study employed qualitative interviews as a means of gathering data to explore the challenges experienced by the participants and the most effective strategies they employ. The objective of this research is to enhance comprehension of ethical conduct in the e-commerce industry by examining concerns associated with data confidentiality, safeguarding, impartiality, and ecological accountability. The aim is to provide practical suggestions for both businesses and consumers.

Digital Marketing Strategy and Application of Social Media in Crisis PR on Railways

Danijela Stojanović, Nenad Stanisavljević, Dijana Stojanović — Sat, 10 Jun 2023 00:00:00 +0000

This paper analyzes how the Infrastructure of Serbian Railways, using digital communication channels and social media, can influence public information, views and forms public opinion about railways. In the research, the authors specifically analyze the activities and measures released by the crisis PR in social media of the above mentioned company aiming to inform about railway accidents and form public opinion. Also, the authors study and define the use of social media by crisis PR on railways as part of the digital marketing strategy in this railway company. The research aims to determine whether railways can reduce the negative consequences of the railway accidents in the public through social media. The authors conclude that the Infrastructure of Serbian Railways can reduce such negative consequences with quick and accurate information in social media and avoid inaccurate and sensational announcements by informing citizens promptly. Considering this, the paper also defines future digital activities by crisis PR in the event of railway accidents.

Classroom Layouts for Technology-based Active Learning Spaces

José Paulo Marques dos Santos, Beatriz Martins, José Luís Reis — Sat, 10 Jun 2023 00:00:00 +0000

The article starts by collecting arguments that explain the success of active learning in higher education nowadays, and then, the concept is defined and characterized. Next, traditional lecturing classrooms are portrayed, and a tentative justification is suggested for their resiliency, measured by their longevity and dissemination. Then, actual active learning spaces designs are surveyed: the seminal SCALE-UP, TEAL, PAIR-up, and TILE. These layouts generally encompass round tables with nine seats, moving tables and chairs, 360º wall-covered whiteboards, and an equal assortment of projectors/monitors so every student sees the information. Other exemplary cases are addressed, for instance, McGill University’s principles for designing rooms for active learning. Finally, although it is not an active learning space, a recent ground-breaking proposal, already implemented at Washington State University, is addressed: “teaching in the round” by David Harlan. The article ends by summing up the main findings of this survey.

Project-based Learning with Mattermost in Higher Education

Aleksandra Ćirković, Zorica Bogdanović, Božidar Radenković — Sat, 10 Jun 2023 00:00:00 +0000

This paper explores the use of Mattermost platform in project-based learning, examining how both teachers and students can use it and benefit from it. The aim of this research is to display implementation and setting up the platform and development of an application used to extract system and usage data that will be analyzed by professors. Mattermost is a proven tool for promoting effective communication and collaboration in project-based learning activities by improving students' critical thinking and problem-solving skills. Despite the potential benefits of the platform, currently there are no available analytics tools for the open-source version of Mattermost. The conclusion of this paper is that it is required to develop custom application that requires ETL procedures for data preparation before analysis can be conducted and certain actions based on it taken.

Statistical Techniques for Project-based Learning

Miodrag Šljukić — Sat, 10 Jun 2023 00:00:00 +0000

Although present for a long time, project-based learning is still the very focus of researchers because of its potential to improve the learning process. New technologies provide opportunities for a better understanding of the data generated by the learning process. This literature review searches for statistical techniques used in the field of project-based learning and classifies them in line with common classifications found in the field of statistics. The goal is to identify the most common statistical techniques used in the field and explain the way they are applied in the research. The results show that the most often statistical techniques are descriptive statistics and inferential statistics, followed by factor analysis, regression analysis, correlation, and social network analysis. This result arises from the type of research design, which is in most cases quasi-experimental, where researchers try to measure the influence of project-based learning on different dimensions of learning outcomes. This kind of research design usually employs descriptive statistics as a preliminary step, followed by statistical tests.

IoT Game-based Learning Model in Education

Luka Petrović, Danijela Stojanović, Lazar Živojinović, Biljana Đurđević — Sat, 10 Jun 2023 00:00:00 +0000

The subject of this paper is the development of a game-based learning model based on the Internet of Things (IoT). The main problem discussed in the paper is to investigate the possibility of implementing a game-based learning model in an interactive educational environment that will increase student interest and enhance learning outcomes. The developed model will be based on ubiquitous computing technologies and integrate IoT, mobile, and augmented reality technologies. The proposed model integrates with existing components of the educational infrastructure. As part of the model evaluation, testing, and measurement of relevant parameters that affect

Digital Project-Based Learning for Kids: A Case Study of Start-up Kids Campus

Teklehaimanot Embaye, Zorica Bogdanović, Salina Imam — Sat, 10 Jun 2023 00:00:00 +0000

This paper proposes a conceptual model for Digital Project-based Learning (D-PBL) for kids which is inspired by the play-based Finish educational framework in primary education and the Erasmus+’s D-PBL project in higher education. The model is applied to a practical initiative called Start-up Kids Campus, which brings together kids in the age range of 7 to 17 years old and from different regions to teach them 21^st century skills using project-based learning in a digital learning environment. The initiative focuses on fostering start-up and entrepreneurship skills, knowledge and creative economy along with soft skills, and emotional intelligence, through cross-regional collaboration among kids living in different countries, but have the same country origin. The paper discusses the theoretical foundations of the conceptual model and shares the experiences gained from the initial work and the digital tools and resources used for the implementation of D-PBL in the context of Start-up Kids Campus. Future works include integration of kid friendly project management tools, expanding the access to multi-national teams, and integration with generative AI solutions.

Blockchain-based Healthcare Ecosystem

Milica Tomić, Danica Sovtić, Aleksandra Trpkov, Branka Rodić, Aleksandra Labus — Sat, 10 Jun 2023 00:00:00 +0000

The subject of research is the development of a blockchain-based healthcare ecosystem. The paper will analyze the concepts of blockchain technology with a focus on application in healthcare. The paper will present the business model of blockchain application in healthcare. A blockchain ecosystem for healthcare will be presented. The practical part of the work will cover the design and development of a smart contract for participants in the proposed healthcare ecosystem. The PyTeal programming language will be used for the development of smart contracts. The Algorand platform will be used to record transactions between participants in the healthcare ecosystem. An application will be developed that will allow patients to monitor medical reports.

DApp for Food Traceability Based on PyTeal and Algorand

Septian Nudin, Aleksandra Labus, Petar Lukovac, Marko Suvajdžić — Sat, 10 Jun 2023 00:00:00 +0000

The research area of this work is the application of blockchain technologies in tracking the authenticity of organic food. This paper discusses the influence of blockchain technology as one of the modern technologies and how it can change supply chain management. In the theoretical part of the work, the concept of supply chain management in the food industry will be explained, focusing on analysing the possible application of blockchain technology. The possibilities will be looked at in detail with applications of blockchain technologies to trace the authenticity of the food. The main goal of the research is to propose an intelligent system for tracking the origin of organic food, such as coffee, based on blockchain technology. The practical part of the paper will present the traceability of organic coffee origin by developing smart contracts. Smart contracts will be developed using PyTeal programming language and Algorand blockchain platform.

Measuring the performance of the innovative potential of the academy on the example of Algorand WEB 3.0 hackathon

Sat, 10 Jun 2023 00:00:00 +0000

Hackathons and similar events are becoming very popular ways to supplement academic learning to practice teamwork, coding, and increasingly business skills. With a short implementation time frame of typically up to 36 hours, the hackathon routing process that generates the final code or proof of concept solution is completed after the jury trial is generally concluded at these events. Stakeholder efforts were focused on the design of the hackathon and the organizational aspects of the event. The students' efforts were mainly focused on the hackathon challenge and short tasks. That influence leaves aside the potential that the results of the hackathon could bring to further influence the innovative capacity of stakeholders, especially the academic community in the context of this paper. So, the main dilemma is how to use the potential of the hackathon as a mechanism to strengthen the innovative potential in the academic community. To explore this potential, the first initial step was to identify and measure performance indicators arising from hackathons such as exploring new pedagogical approaches and experimental learning, motivation, and satisfaction for the adoption of hackathons as a mechanism for a pedagogical approach to initiating innovations and perceived innovative capacity. These indicators were analyzed on the example of the Algorand Hackathon 2023. These indicators become a foundation for further research and identification of performance indicators that serve as a basis for modeling performance indicators for innovative capacities based on the hackathon.

Revolutionizing the Real Estate Ecosystem with Blockchain: Opportunities, Challenges, and Future Prospects

Aleksandar Arnautović, Marijana Despotović-Zrakić, Aleksandra Labus — Sat, 10 Jun 2023 00:00:00 +0000

A blockchain transaction is an electronic transaction that is visible to everyone. This ledger is dispersed over a network of computers, preventing it from being under the control of a single controlling entity. The real estate ecosystem is often characterized by lengthy and difficult processes that create problems such as inefficiency, lack of transparency and fraud. As the benefits of this system are better understood, blockchain technology is increasingly being used in real estate transactions. Blockchain offers a safe, decentralised method to track and transfer asset ownership. The real estate sector might undergo a revolution as a result of this. This is because blockchain technology makes it possible to transfer assets digitally, doing away with the need for paper contracts or other physical documents. Because it eliminates middlemen, reduces fraud, and makes transactions transparent and safe, it has the power to totally revolutionise the real estate market. This study explores the potential of blockchain technology to transform the real estate sector. The conventional real estate market is briefly reviewed in the first section of the article, along with some of its drawbacks such as lack of transparency, the employment of middlemen, and protracted transaction timeframes. The use of blockchain in the real estate industry is also covered in the paper, along with any potential legal or regulatory issues, as well as its advantages and disadvantages. The discussion of blockchain technology's potential to provide a decentralised, open, and secure platform for real estate transactions follows. In the study's conclusion, it is discussed how the technology might be used in the future to improve real estate administration, make fractional ownership simpler, and open up new opportunities for real estate investment. The key conclusion of the study is that blockchain has the ability to transform the real estate sector, increase output, and give stakeholders new options.

Applying Multi-Criteria Decision Making to Prioritization of Web 3.0 Development Factors

Ebenezer Agbozo, Avinash Kumar, Al-Samarrayi Safa Shakir Awad — Sat, 10 Jun 2023 00:00:00 +0000

In more recent times, blockchain and web 3.0 have taken the world by storm. Conversations have been sparked with regards to its use cases as such web developers are beginning to integrate these solutions into web-based systems. Most important of all, it is easy to consider blockchain as a distributed world computer that will change the way we look at the internet. In this paper, we present analytic hierarchy process (AHP) as a tool for ranking Web 3.0 factors and which of those are pertinent for consideration by developers and specialists in the area. We apply the multi-criteria decision making to prioritization of web 3.0 development factors. Policy recommendations are indicated in the study.

Blockchain Ecosystem for the Real Estate Industry

Ivana Nikolić, Dušan Barać, Aleksa Miletić — Sat, 10 Jun 2023 00:00:00 +0000

Blockchain is a fast-rising technology that has the potential to change how we pay for things, how we verify information, or how we buy or sell. Today we see how blockchain has an impact on many industries, and real estate is one of them. Some of the issues that this industry is facing now are a lack of liquidity, complicated transactions, but also many frauds in process. The purpose of this paper is to focus on how blockchain, combined with smart contracts, can be used in the real estate sector, but also how this industry can benefit from using this technology.

Decentralized Autonomous Organizations: State and Perspectives

Vukašin Despotović, Daniel Bjelica, Artur Bjelica, Dušan Barać — Sat, 10 Jun 2023 00:00:00 +0000

The concept of Decentralized Autonomous Organizations has gained significant attention in recent years due to their potential to transform the way we organize and govern ourselves. This paper presents a thorough review of DAOs, including their history, membership structures, voting mechanisms, and various applications. We also delve into the legal implications of DAOs, exploring the current legal landscape, regulatory frameworks, and legal challenges they face. Furthermore, we conduct an analysis of current trends and offer our perspective on the primary obstacles that hinder widespread adoption. In conclusion, DAOs hold enormous potential to impact society, but further research and development are necessary before their potential can be fully realized.

The Role of Blockchain in Innovative Fintech Services

Miloš Mijić, Branko Ćebić — Sat, 10 Jun 2023 00:00:00 +0000

Most financial institutions have started applying Blockchain technology in the financial market with the aim of reducing transaction costs and increasing operational efficiency. As part of open banking, this technology is designed to improve financial services for its users. For customers, this technology will mean better ways to spend, borrow and invest. Clients will be able to get financial products better adapted to their needs, which would lead to a reduction in costs. In this paper, modern trends in the application of Blockchain technology in the field of banking and financial services are followed. Numerous studies conducted on the application of Blockchain technology in the financial market have shown that this technology can be applied to financial fields and financial products and that it can protect data security, especially in the data trading aspect. Today, large IT firms and companies invest large financial resources for the implementation and development of this technology.

Convolutional Neural Network Model in Human Motion Detection Based on FMCW Radar Signals

Sat, 10 Jun 2023 00:00:00 +0000

The detection of body movements is the essential step for sleep quality analysis. Contactless approaches for sleep motion recognition are unobtrusive and are easier to use in comparison to wearable technologies. In this paper, two contactless sensors based on Frequency-Modulated Continuous Wave (FMCW) radar technology were positioned on the side of, and underneath the bed on which the participant was lying. FMCW data from 10 participants were acquired during the experiment scenario that included the following three states: resting state, movement, and cough. Magnitude-phase coherency method was applied to FMCW data for finding optimal phase signals. Finally, a one-dimensional convolutional neural network was used for the classification based on optimal phase signals. The best classification results were obtained using only FMCW data from the radar positioned underneath the bed: 72% accuracy for differentiating between the resting state, movement, and cough class, and 89% accuracy for the resting state and movement class.

Fall Detection of Elderly in Ambient Assisted Smart Living Using CNN Based Ensemble Approach

Sakshi Shukralia, Dr. M.P.S Bhatia, Dr. Pinaki Chakraborty — Sat, 10 Jun 2023 00:00:00 +0000

In recent years, there has been a significant increase in ambient assisted living and smart environment homes that utilize a range of technologies to enhance the quality of life for elderly people. Fall detection is an essential service that smart home healthcare can provide as falls can pose a significant threat to the independence and health of individuals over 65 years old. This article introduces the ISBFD (Inertial Sensor Based Fall Detection) concept, which aims to identify elderly persons who fall and alert family members or carers right away. The proposed model employs data from the accelerometer sensor of a smartphone in real-time. This data is then processed by a fall detection system that can run directly on the device. In this study, an initial-level deep learning model for fall detection is deployed along with subsequent models using ensemble learners, and it is trained on the publicly accessible MobiAct dataset. A comparative analysis is drawn between initial (Convolution Neural Networks) and final predictors (Ensemble Learners). The health and well-being of elderly people can be considerably improved by the ISBFD model, which makes it possible to detect falls and promptly warn carers with accuracy upto 93% approximately.

Mobile Application for People Suffering from Color Blindness

Anna Krasnova, Anna Romanova, Alexey Susanov — Sat, 10 Jun 2023 00:00:00 +0000

The article describes the method of developing a mobile application, including a comparison of analogues, an algorithm for writing the key function of the application, the principle, demonstration and explanation of the application. The relevance of this application and the scope of its application are also proved. A description of the characteristics of the application has been made, which can be individually configured for each user. The application modes listed in the paper are selected by the neural network based on the optimal and most suitable option for a given situation, and it can also combine them. The application also contains libraries of settings for each type of color blindness.

IoT Enabled Software Platform for Air Quality Measurements

Nikola Mitrović, Milan Đorđević, Sandra Veljković, Danijel Danković — Sat, 10 Jun 2023 00:00:00 +0000

This paper presents an example of the software platform that is suitable for implementation into Smart City and environment system for air quality estimations. Platform consists of the web server application designed for IoT system in client-server mode, where hardware units present separate clients. Application is designed mainly using node.js tools and is accessible through web browsers. Platform is tested with appropriate ESP32 based measuring system being the client in the configuration. Measured data can be transferred, processed and shown to the users in real-time using graphs and images. Also, data is logged and stored for broader air quality assessments. Commercial capabilities and business approach is discussed.

Outcome Based Business Models Influenced with Internet of Things – in Agriculture

Sat, 10 Jun 2023 00:00:00 +0000

Industry 4.0 technologies and overall digitalization have accelerated the adoption of servitization models in the manufacturing industry such as outcome-based business model. While this model is gaining traction in the manufacturing space, there is little understanding of its applicability in other industries, in particular in agriculture. The aim and subject of this case study provides the main findings of the analysis of the feasibility of applying outcome-based business model in the agricultural sector, specifically winemaking. Result of the study confirm that the use of outcome-based business models in agriculture is still in the infant stage because of the many parameters in this industry that cannot be controlled. Therefore, the application of outcome-based business model in this sector can best take place following several modifications that are indicated in the paper.

IoT system for smart beekeeping

Petar Lukovac, Milica Simić, Božidar Radenković — Sat, 10 Jun 2023 00:00:00 +0000

This article tackles the problem of creating an IoT (Internet of Things) system for smart beekeeping. The goal is to propose an infrastructure that could provide necessary information to prove the organic origin of honey and other honey-based products. The infrastructure includes multiple sensors which are gathering data about the location of the hive, air quality, production process and other essential data. The system also includes streaming collected data to cloud database and blockchain network. This article analyses different solutions and proposes a model of the IoT system for smart beekeeping. The article also shows an implementation of the prototype for the described system.

The Effective Development of the Warehouse Logistics Industry: Advantages of Automatic Weighing and Cargo Control Systems

Anastasiia Krivonos, Inna Kruglova — Sat, 10 Jun 2023 00:00:00 +0000

Современный глобальный мир повсеместно нацелен на поступательное развитие, расширение ассортимента товаров, что связано в основном с внедрением передовых технологий в деятельность всех структурных элементов экономики, в том числе развитием современных складских технологий. Указанное требует от складов выполнения большего количества операций путем их автоматизации и цифровизации. Технологические решения и цифровые технологии позволяют ускорять процессы, что в конечном итоге повышает их результативность и эффективность. Прогрессивные цифровые технологии складской логистики позволяют реализовать поставленные задачи: точный учет поставок товаров; таможенный контроль; отслеживание поставок; цифровизация услуг для клиентов и их высокое качество; расширение диапазона услуг предпродажной подготовки товаров к реализации до их выпуска. В статье рассмотрены основные прогрессивные цифровые технологии складской отрасли, обозначены проблемы обеспечения цифровыми технологиями. Авторами предлагается алгоритм дальнейшего развития связанной системы учета и контроля поставок во взаимодействии государственных органов и их логистических частных партнеров.

Simulation and Analysis of Blockchain Operations Model with RSA Algorithm in CrypTool2

Hana Stefanović, Ana Savić, Goran Bjelobaba, Nikola Popović — Sat, 10 Jun 2023 00:00:00 +0000

In this paper the simulation blockchain-based model is created and tested through a few transactions among the participants. The participants are able to send and receive coins or to mine blocks to earn coins, while all transactions are stored in the blocks’ data, including the address of sender and the address of the receiver. The address is a hash value of a public key for asymmetric cryptography. The RSA (Rivest-Shamir-Adleman) asymmetric algorithm is used, including public key and private key. The model is created in CrypTool2 software, including three blocks and smaller numbers for generating the RSA public and private key pairs than in real blockchain transactions, in order to minimize the simulation time. Some attacks are also simulated, and those transactions are not accepted because od invalid signature, since the attacker does not have someone’s private key.

Application of 3D Modeling in the Fashion Industry

Sat, 10 Jun 2023 00:00:00 +0000

This paper presents an application of 3D modeling in the fashion industry, with an emphasis on augmented reality. The benefits of 3D modeling and augmented reality in the fashion industry are discussed in detail. The purpose is to show this way of product presentation as the future of the fashion industry. This paper aims to present 3D modeling garment design using the CLO3D software tool. Using software environments for 3D clothing modeling combined with augmented reality creates a new world of digital fashion, where it is possible to wear digital fashion items in the Metaverse, but also to create and sell them as NFTs markets.

A Methodological Framework: Studying The Effect Of An Augmented Reality Mobile App On Online Customer Experience and Purchase Intention

Nii-Odartey Mills — Sat, 10 Jun 2023 00:00:00 +0000

Abstract—This study presents a methodological framework for investigating the impact of an augmented reality mobile app on customer experience and purchase intention in the fashion online retail industry. The framework aims to address the lack of interactivity and engagement in traditional online shopping, which may result in lower purchase intention and customer satisfaction. The study will explore the effectiveness of an augmented reality mobile app in enhancing the customer experience and increasing purchase intention. The research will contribute to the existing literature by providing empirical evidence on the effectiveness of an augmented reality mobile app on customer experience and purchase intention in the fashion online retail industry. This research aims to demonstrate the potential of augmented reality technology to transform the online shopping experience in the fashion industry.

Digital Twin Road Network as a Part of ITS Rig Move Model: Case Study Oil Industry of Oman

Miloš Durković — Sat, 10 Jun 2023 00:00:00 +0000

This paper presents a digital twin approach to address a component of the Rig Scheduling Problem (RSP) - rig transport or rig move. The main idea is to apply Intelligent Transport Systems (ITS) technology to solve problems during rig transportation, avoid potential risks, and minimize costs. The ITS concept for the rig move process is based on a Model of Intelligent Transport System from a Russian research group, modified to be applied in the current Petrol Development Oman system. The conclusions will be presented to the mainboard of the PDO unit responsible for Traffic and Transportation as a way to improve rig transportation and further move the entire process into digital twin technology.

Simulation Models for Assessing the Probabilistic and Energy Characteristics of Information Interaction in the Internet of Things

Sat, 10 Jun 2023 00:00:00 +0000

A simulation model of a wireless sensor network of the Internet of things is considered, which combines smart things with autonomous power supply that exchange information messages with each other. The simulation model is presented as a multiple access system, describes the objects of information interaction, and can be used for experimentation in order to design, analyze and evaluate the functioning of wireless sensor networks of the Internet of things. A simulation model of a multiple access system is considered, which makes it possible to determine the influence of the number of priorities on the performance of a wireless network. Modeling methods make it possible to study the impact of the implementation of priority access procedures on the operation of the sensor network.

Big Data-driven Architecture for Crowdsensing Systems in Smart Cities

Aleksa Miletić, Miloš Radenković, Branislav Jovanić, Vladimir Vujin — Sat, 10 Jun 2023 00:00:00 +0000

The subject of this paper is the development of a crowdsensing system with a big data architecture that aims to efficiently collect, process, and analyze data from various sensors deployed in smart cities. The primary goal of this research is to propose an architecture that enables real-time data collection, processing, and analysis for noise, vibrations, healthcare, and pollution monitoring. The proposed architecture is presented in detail, highlighting its components and their interactions. By leveraging asynchronous event-based communication and integrating Apache Kafka and Apache Spark, the proposed system offers improved decision-making capabilities and resource management for urban sustainability. This research contributes to the field of smart cities and crowdsensing by proposing a big data architecture that enables effective collection of data, processing, and analysis for noise, vibrations, healthcare, and pollution monitoring.

Benefits and Risks of Artificial Intelligence in Cybersecurity and Phishing Attacks

Mustafa Bešić — Sat, 10 Jun 2023 00:00:00 +0000

Abstract—With the development and expansion of artificial intelligence, there is a growing need for protection and security in the market. We can see artificial intelligence's first positive and negative applications in phishing attacks, which are becoming increasingly complex and difficult to identify. Artificial intelligence is currently helping us properly and safely filter the mail that arrives in our inboxes. The main goal of this article is to make the public aware of possible new, more sophisticated threats, but also easier methods of detecting potential threats in cyberspace. Attackers using artificial intelligence can more easily misuse audio and visual information to wrongly convince users of their intentions and thus obtain desired information or data.

The Application of ChatGPT for Identification of Microservices

Tatjana Stojanovic, Saša D. Lazarević — Sat, 10 Jun 2023 00:00:00 +0000

Identification and definition of microservices is one of the most important aspects of systems based on the microservices architecture. If the services are designed poorly, the overall performance and efficiency of the system might be even worse than with traditional systems. There are many approaches for proper identification of microservices and their boundaries. However, these approaches are usually carried out by software architects, meaning that the overall success of the system design depends on their skills, abilities and understanding of the entire system. This comprehensive task can be quite demanding, which leaves room for oversights and errors. Luckily, new technologies emerge daily, as well as new uses for those technologies, which make such difficult tasks a little bit easier. In this paper, utilization of the popular ChatGPT large language model for analyzing software requirements and identifying microservices is explored. Three different examples are presented along with recommended solutions, showing that usage of GPT for analyzing software requirement can be useful, but used with caution because of its drawbacks.

Fuzzy Logic Based Product Comparison for Different E-Commerce Websites

Devashree Pravakar, Vrinda Anil Thaker, Rewa Abhyankar, Praveen Joe I R — Sat, 10 Jun 2023 00:00:00 +0000

In recent times, there has been a surge in the number of e-commerce websites available online. This makes it difficult for a user to decide which website to use when purchasing a particular product. In addition, keeping track of the sale and offers going on in these platforms is an arduous task. Sometimes, these websites have contrasting reviews for the same product. Keeping a check on all these factors for multiple websites takes a lot of time as well as energy, and is laborious. Therefore, we have created a website that combines the results from various e-commerce platforms and showcases the result together on a single webpage. This not only helps the user to make better decisions related to their purchase but also saves their valuable time. Moreover, we have added functionalities such as email alerts that make our website a multi-purpose all rounded product.

Factors Influencing Cloud Analytics Adoption in Indian Pharmaceutical Industry

Atharv Kansal — Sat, 10 Jun 2023 00:00:00 +0000

Pharmaceutical firms have access to tremendous amount of data, in order to gain insights to augment and accelerate drug development, they take help of analytics tools to understand the data they have gathered and use it to get an insight and make informed data-based decisions. This research aims to analyze the various factors on which the adoption of cloud-based solutions for analytics in the Indian pharmaceutical industry is decided. This research will help policy makers, key personnel and decision makers in various firms understand the factors that are required to be taken into consideration in order to make pharmaceutical firms adopt cloud analytics solution. Data collected through an online survey have been analyzed by employing confirmatory factor analysis and multiple regression techniques using a combined framework based on the Extended Theory of Perceived Behavior (TPB) and Technology Acceptance Model (TAM) for determining the significant factors affecting the adoption of cloud computing software for cloud analytics in Indian pharmaceutical industry.

Comparing Models for Analysing Database Pattern

Lakshya Goyal — Sat, 10 Jun 2023 00:00:00 +0000

In today’s scenario, size of database is growing at a tremendous speed and analyzing such data for various purposes is of utmost importance. In this paper, we have applied our methodology to datasets of different sizes and discussed the experiment results in analyzing the pros and cons of various models. We have given an implementation model for knowledge discovery from huge unlabeled temporal databases by employing a combination of HMM and K-means technique.

Evaluating the Performance of Some Statistical Location Difference Tests

Artem Cheremuhin — Sat, 10 Jun 2023 00:00:00 +0000

This article shows the results of a simulation experiment evaluating the comparative effectiveness of the application of classical and new shift tests in the context of errors of the second kind using the example of the normal, lognormal, exponential, gamma and Weibull distributions. The experiment procedure is described in detail, based on the results of 100 simulations for each type of distribution; a "binary tree" algorithm is used to solve the classification problem. The result of its application made it possible to detect "areas of effectiveness" of tests depending on the parameters of the scenario. At the same time, the Wilcoxon test showed the best comparative effectiveness, the second - the modified Yuen-Dixon t-test. It is noted that in many cases, with insignificant values of the shift parameter, all tests gave an erroneous conclusion. The conclusion presents further prospects and directions for the development of this topic.

Digital business system of sharing economy: How can European countries be segmented?

Milica Maričić, Veljko Uskoković, Veljko Jeremic — Sat, 10 Jun 2023 00:00:00 +0000

Sharing economy, sometimes called collaborative consumption, is a concept, business model, and market in which individuals offer or rent their own assets which are not in use. Different types of sharing economy emerged from shared accommodation to sharing fashion items. No matter what is shared, the agreement on what is shared and under what circumstances is usually made via a website or platform within a digital ecosystem. The research question is how European countries can be segmented based on the characteristics of users of shared accommodation. The analysis was done on the Eurostat data from the ICT usage in households survey for 2019, while the applied segmentation (clustering) algorithm was k-means. The obtained results can be helpful in shedding light on how European countries can be grouped based on the characteristics of users of shared accommodation. It is believed that the research conducted in this study could act as a driver of further research on the topic of segmentation analysis of individuals and countries based on sharing economy activities.

Digital Ecosystem Model for Workplace Transition in Post-COVID Era

Dino Arnaut, Anida Zahirović Suhonjić, Adnana Beganlić, Damir Bećirović — Sat, 10 Jun 2023 00:00:00 +0000

Industry 4.0 is a period of rapid technological advancement and development that has had a profound impact on society, the environment, and business. Unquestionably, COVID-19 has accelerated the adoption of digital technologies and fundamentally altered the workplace and style of working. Employees and businesses have accepted new working practices that include using digital tools but also accepting more agile and flexible procedures and norms. The workplace has transitioned to being digital or at least hybrid. The broad adoption of Industry 4.0 technology and the critical role that innovation plays in scaling-up processes will have a major, even disruptive, impact on the workforce, workplace ecosystems, and labor market. The purpose of this paper is to look into the underlying mechanisms and dynamics that support the digital environment and ecosystems and propose a digital ecosystem model for transition and improvement of workplace in the post-COVID period.

The role of healthy e-business in Society 5.0: The empowerment of the human-centric era

Vesna Tornjanski, Snežana Knežević, Vuk Mirčetić — Sat, 10 Jun 2023 00:00:00 +0000

The article is brain waved to simultaneously style healthy e-business and enlighten its role in the new world order that moves forward towards the worldwide innovative human-centric phenomenon designed for long-term prosperity and well-being of all. The research method adopted in the study is founded on secondary data collection using a selected literature review approach, considering the conceptual nature of the study. The research results reveal the definition of healthy e-business and signify the role of e-business in shaping society aimed at empowering human-centricity. The concluding remarks depict the contribution, limitations and future research required to be carried out before the entire implementation into practice.

Costs and benefits of the implementation of smart grids in the European Union

Miloš Parežanin — Sat, 10 Jun 2023 00:00:00 +0000

This paper discusses the costs and benefits of implementing smart grids in EU member states. Only six EU member states have achieved full coverage with smart meters. Smart grids contribute to increasing energy efficiency, balancing demand and supply for electricity and reducing harmful impacts on the environment. There are four regulatory incentives for Distribution System Operators cost efficiency and productivity. The treatment of costs in the functioning of energy distributors differs between countries. According to the capacities of Distribution System Operators for the application of smart grids, countries can be grouped into three clusters. EU member states are divided into two groups according to the net benefit from the application of smart meters. Although the capacities for integrating a smart grids into the energy system are the largest in Germany and the Czech Republic, in these two countries the cost benefit analysis of smart meters gives negative results.

Geospatial Data - Platform, Products and Applications

Marina Jovanović-Milenković — Sat, 10 Jun 2023 00:00:00 +0000

Geospatial and location based information is increasingly becoming a key part of this pervasive digital world of transformation and innovation trends, changing many business practices, providing new technological applications and bringing about a data revolution that is having a positive influence on social and economic systems. The connection of geospatial data and new technologies is the direction to be pursued at the global world level. The part of that connection is digital platform of investment location. Author in this paper presents the main goal of this paper, to build a register of investment locations. The sub-goals are collecting data for the register of investment locations and raising the capacity of human resources. The project itself is an innovative solution that contributes to the new platform to consolidate the existing state of pilot investment locations, affect to develop geospatial data and to turn data into digital form. The paper describes the research and the achieved results of the project.

Digitalization of Factoring Services: A Quick Scoping Review

Miloš Milosavljević, Željko Spasenić, Nemanja Milanović — Sat, 10 Jun 2023 00:00:00 +0000

Factoring is a financial service that involves the purchase of a company's accounts receivable (invoices) by a third-party financial company known as a factor. Alongside the other financial services, factoring has witnessed major technological disruptionс in the last few decades. The aim of this paper is to review the literature on the digitalization of factoring services. For this purpose, a quick scoping review of the literature has been conducted. The results show that the main technologies disrupting this industry are blockchain and artificial intelligence.

E-government Divide – Case Study Serbia

Sat, 10 Jun 2023 00:00:00 +0000

The paper investigates the phenomenon of the e-government divide, which is assumed to present one of the main obstacles for the further development of digital services, and public administration in general. The results of quantitative and qualitative research indicated that it is necessary to redefine the methodological framework for measuring and monitoring both the digital divide in general and the e-government divide. Emphasis was placed on digital skills, which were found to represent one of the main factors of e-government inclusion. A methodological approach based on the definition of gap levels, with corresponding indicator is proposed. This solution is analyzed through a case study: e-government divide in the Republic of Serbia. The indicators defined in this way are given and their base values calculated for 2022.

Digital Transformation in the Judiciary

Ana Đilas, Dušan Kuzmanović — Sat, 10 Jun 2023 00:00:00 +0000

This paper focuses on presenting the current state and future plans of digital transformation in the Serbian judiciary. The digitalization of judicial processes holds great potential for improving efficiency, accessibility, and transparency. By analyzing available literature, official reports,
and relevant data, this research provides an overview of the existing digital initiatives in Serbian courts. It examines the implementation of electronic case management systems, online filing procedures, and digital communication channels. Additionally, the study explores the challenges faced in the process, including infrastructure limitations, legal frameworks, and stakeholder acceptance. Furthermore, it outlines
the strategic plans and initiatives devised by Serbian judicial authorities to further advance digitalization efforts. The findings of this research contribute to a better understanding of the current state of digital transformation in the Serbian judiciary and provide insights into the future trajectory of digital initiatives in the sector.