In today’s rapidly evolving technological landscape, effective management of information technology (IT) projects is paramount for organizational success. However, ensuring sustainability in IT project management remains a persistent challenge. This paper proposes a novel approach centered on data-driven strategies to enhance sustainability and excellence in IT project management. By harnessing the power of data analytics, organizations can derive actionable insights to optimize resource allocation, mitigate risks, and streamline project workflows. The integration of data-driven decision making processes enables project managers to make informed choices, fostering adaptability and resilience in the face of dynamic project environments. This research explores the utilization of IT software project performance metrics and historical project data to fuel analysis of how strategies drive business sustainability. Moreover, this paper examined these dimensions with the help of advanced analytics techniques such as multiple linear regression. By aligning IT project management practices with business sustainability objectives, organizations can enhance project success rates, while minimizing adverse environmental impacts and resource consumption. Prospectively, this kind of research should expand to determining factors for the adoption of data-driven strategies to empower organizations to achieve sustainable IT project management excellence, ensuring long-term competitiveness and value creation in a digitalized world.

Efficient traffic management in urban areas represents a key challenge for modern cities, particularly in the context of sustainable development and reducing negative environmental impacts. This paper explores the application of artificial intelligence (AI) in optimizing urban traffic through a combination of reinforcement learning (RL) and predictive analytics. The focus is on simulating the traffic network in Belgrade (Serbia, Europe), where RL algorithms, such as Deep Q-Learning and Proximal Policy Optimization, are used for dynamic traffic signal control. The model optimized traffic signal operations at intersections with high traffic volumes using real-time data from IoT sensors, computer vision-enabled cameras, third-party mobile usage data and connected vehicles. In addition, implemented predictive analytics leverage time series models (LSTM, ARIMA) and graph neural networks (GNNs) to anticipate traffic congestion and bottlenecks, enabling initiative-taking decision-making. Special attention is given to challenges such as data transmission delays, system scalability, and ethical implications, with proposed solutions including edge computing and distributed RL models. Results of the simulation demonstrate significant advantages of AI application in 370 traffic signal control devices installed in fixed timing systems and adaptive timing signal systems, including an average reduction in waiting times by 33%, resulting in a 16% decrease in greenhouse gas emissions and improved safety in intersections (measured by an average reduction in the number of traffic accidents). A limitation of this paper is that it does not offer a simulation of the system’s adaptability to temporary traffic surges during mass events or severe weather conditions. The key finding is that integrating AI into an urban traffic network that consists of fixed-timing traffic lights represents a sustainable approach to improving urban quality of life in large cities like Belgrade and achieving smart city objectives.

During the planning and implementation of Information and Communication Technologies solutions in the healthcare system, attention should be focused on the interests of citizens, healthcare employees, and the public. The project 'Development of the Healthcare Information System for Basic Healthcare and Pharmaceutical Services' demands the implementation of Electronic Healthcare Documentation in the Healthcare Information System of Serbia. This article represents a short overview of previous development of the healthcare information system. Electronic health documentation needs to represent basic health process of every single user. Healthcare Information Systems is based on patients, medical documents, information exchange about patient's health between health's, insurances and financials institutions, with primary goal to made healthy population with less cost.

The introduction of digitization has changed all spheres of business on a global level, including geospatial data. The general goal of the paper includes the formation of a new model of geospatial data management. The authors propose the formation of an eSpace model that includes the ePlan system. In order to achieve the goal of the paper, the authors conducted a survey in which representatives of local self-governments and holders of public authority participated through a structured online survey. A pilot study for the formation of a geospatial data model is an overview of spatial and urban planning. The focus is on looking at the real state of spatial and urban planning documents and the possibility of establishing a central database of spatial planning documents in digital format and its further distribution through a single system. In this way, easy access to digital plan data expands the community of users and enables communication with different groups of stakeholders. The introduction of the described model affects the further development of society as a whole.

Introduction The paper explains the importance and the role of content management systems, gives an overview of the functionality required by such systems and makes a categorization of existing content management systems, thus performing, to some extent, a systematization of this area. Internet technologies and e-business Electronic business is a set of business activities that occur by ICT, especially Internet. CMS existence is conditioned by the development of Internet technology. Basic terminology, problem and solution The basic terms of which problems are considered in this paper are Content, Content Management and Content Management System. Content management systems demand Content management systems demand is reflected in the following: (1) complex structure and a hierarchy of target groups are major challenges for the selection and implementation of an adequate system of content management in decision-making processes; (2) timely adoption of key decisions and their implementation is currently a considerable advantage over competitors; (3) by applying modern information and communication technologies and service-oriented architecture, content, especially documents, management provides security and protection of information in the process of content managing. Content management systems types This article describes the following types of content management systems: Document Management System, Digital Asset Management, Web Content Management and Learning Content Management. Content management systems basic parts The main parts of the content management system are: (1) Content integration, including any content manipulation (input, processing, display); (2) Version control, older versions of files are stored in the database (date of creation/change, and optional comment). Thanks to version control, web site can be restored later (rolled-back) to the previous version; (3) Workflow, allows defining processes in a few steps concerning the creation, review and approval of content publishing; (4) Content repositorium (relational, object or XML databases) greatly improves reuse and content management, especially when these items have a high repetition level; (5) Users management and their privileges; (6) User interface. Display of client and administrative console is done through a web browser; (7) Applications represent an addition to content management systems (business rules, API functions, search, forum, etc.) Content management systems classification Content management systems classification can be performed by different elements: (1) by type, where the content management system is a framework or system; (2) by license; (3) by used technology; (4) by price. The paper briefly explains the classification. Conclusion Future direction of research of content management system applications in the Serbian Army would be based on the advantages and disadvantages of electronic document management system repositories, for example realistic management processes and data flows within the command and information system. .