Proceedings of the Technical University of Sofia

Abstract: The variety of ML models used in organizations is constantly growing. The adoption of AI presents a variety of opportunities for business organizations. Day to day activities can be automated, and complex processes can be optimized as well. As many organizations push for the implementation of AI and business process optimization, the risk of non-compliance is still present. On top of that, there are several areas like model integrity and explainability which are currently underestimated. Additionally, EU commission is enforcing the EU AI Act which mandates strict controls to be implemented in order to provide assurance for the models in use. The current paper provides an overview of the main present challenges that need to be addressed within the broader use of AI and main opportunities, from which the organizations can benefit in the long run.

Abstract: The article focuses on the components necessary for building a mobile station for measuring environmental parameters. A software solution is presented for remotely controlling the mobile platform and visualizing the sensor-measured data.

Abstract: This report presents the results of experimental investigations into the capabilities of a mobile station, developed by the team, for measuring environmental parameters. The study includes data collected during both stationary and dynamic operation modes of the mobile station. The obtained results are compared against readings from calibrated measuring devices to validate the accuracy and reliability of the measurements.

Abstract: Industrial sectors in the modern global economy are confronted with ever more pressing issues of supply chain transparency, fraud, security breach, and efficiency of operation. Firms more and more resort to new digital technology in coping with such mounting complexities (Idrees, et al., 2021). Blockchain technology is one such, being an innovative invention that can mitigate risk and create new value in many industrial contexts. Initially created to serve cryptocurrencies such as Bitcoin, blockchain has transformed itself into a mature technology platform that offers higher security, decentralization, transparency, and immutability. With these, blockchain is of unique application in those industries that necessitate data integrity, traceability, and trust. Blockchain is also explored for improving supply chains, constraining fraud, boosting regulatory compliance, and strengthening stakeholder confidence in manufacturing, logistics, energy, and agricultural sectors (Alladi et al., 2019). Based on emphasis on secondary data from scholarly and reputable sources, this essay outlines how blockchain technologies can mitigate risks and create value in business. In order to be able to account for business adoption of blockchains' actual-world value as well as repercussions, it analyzes prior studies in a critical examination, discusses adoption strategies, as well as considering significant findings.

Abstract: This research investigates the impact of outsourcing logistics services on the quality of company products and operational performance. Utilizing a descriptive analytical approach, data were collected from 115 employees and managers across various sectors through a structured questionnaire. Statistical analysis using SPSS was conducted to interpret the findings. The study reveals that while 42.61% of companies outsource logistics services, the majority still handle these operations internally. Outsourcing primarily targets shipping and delivery services, with the main motivations being access to specialized expertise and improved operational efficiency. Results indicate that outsourcing positively affects product quality, reduces delivery times, and enhances customer satisfaction, though challenges such as loss of control and contract management difficulties exist. Recommendations emphasize the need for improved monitoring and management of outsourced logistics providers to mitigate associated risks. This study contributes valuable insights for companies seeking to optimize logistics strategies and improve service outcomes through outsourcing.

Abstract: Big Data is one of the key technologies of Industry 4.0 and a valuable tool for managers who want to make better and more informed decisions by extracting maximum value from available data. It plays a major role in collecting, processing, and analyzing vast volumes of data generated in modern business processes and associated systems. Big Data platforms collect data from various sources such as IIoT sensors, machines, ERP/MES systems, and CRM software. This data is processed through analytical algorithms and tools to provide actionable insights that can improve productivity and efficiency, thus enhancing the financial performance of enterprises. Big Data analysis helps identify problems, optimize processes, reduce costs, and predict failures and maintenance needs through the analysis of historical and current data. Using Big Data analytics systems in Industry 4.0 can increase revenues and reduce costs for industrial enterprises in Bulgaria.

Abstract: Digital transformation of university organizational culture is analyzed in this paper. In the post pandemic social environment during the last five years, it has become clear that distance learning and teaching will remain with us forever. This kind of new “human condition” (H. Arendt) of distancing has changed academic culture and institutional life. Features and problems in digital university life are analyzed in this text. They are united and interpreted in the construct of the university's digital organizational culture. The specificity of digital culture is being explored as inextricably linked with academic ethics. The focus is on communicative and managerial dimensions of university organizational culture. They are the ones who define the moral character and public image of the institution. A new approach is used in conceptual interpretation of digital organizational culture of academic institution through the constructs fast culture and slow culture. University organizational culture is also described in the perspective of cultural infantilization. Examining university organizational culture in sociological and ethical perspectives can aid understanding and better managing the academic community life.