Use of Artificial Intelligence in Human Resource Management

The integration of Artificial Intelligence into Human Resource Management processes presents an evolving domain of exploration and practical application. The widespread adoption of AI technologies presents the potential for significant transformations in products, innovation processes and business models. The research aim is to develop a framework for effective use of AI in Human Resource Management. The subject of the research is AI-based solutions in Human Resource Management. The object of the research is Human Resource Management processes in an enterprise.A multifaceted research approach was used to scrutinize the effective utilization of AI in HRM: Literature review, Case Studies, Employee Surveys, Interviews with HR experts.During this research, the author highlighted aspects of contemporary HRM that can be improved using AI technologies; made a list of the recommended practices for integrating AI-based solutions into HRM; developed a framework for AI tools implementation and found out that HR experts’ and employees’ overall perspective on AI within HRM appears optimistic.This research holds both theoretical and practical significance, driving advancements in theoretical knowledge, informing organizational practices, and shaping the future of work in the digital age.

Company Ekl/Ls Ltd personnel selection and recruitment system's procedure improvement

Company Ekl/Ls Ltd personnel selection and recruitment system's procedure improvement.The aim of the paper is to collect information on the process of search, attraction and selection of personnel, to identify the shortcomings of the process of search and selection of personnel on the example of EKL/LS Ltd. and to provide recommendations for their improvement.In accordance with the aim of the work, the following tasks were set:To look at the theoretical foundations of recruitment and selectionTo identify the characteristics of EKL/LS Ltd.To analyse the management system of EKL/LS Ltd.To analyse the recruitment and selection system of EKL/LS Ltd.Identify the main problems in recruitment and selection at EKL/LS Ltd.Develop recommendations for improving the recruitment and selection system at EKL/LS Ltd.

Marketing activities in the field of eSports

Bachelor's Thesis „Marketing Activities in the Field of eSports”. Author of the paper: Anastasija Karačova. Scientific supervisor: Professor Dr. Olga Zervina.Paper for obtaining the degree „Business and Management”

Development of Decision Support Tool for Transport Forwarding Company Operating within Netherlands and Italy

This paper investigates the development of a decision support tool for a Latvian transportation company operating in the Dutch and Italian markets. Models and algorithms for optimizing freight routes using Excel and Python are included. Digitalization of logistics processes is recognized as a key to improve efficiency and reduce costs. Two methods for solving the traveling salesman problem were examined and compared: Excel with Solver and Python with the NetworkX library.The methodology involved collecting data from Google My Maps, creating Excel spreadsheets, and developing Python software to automate route optimization. The results showed that both methods improved route planning, reducing time and cost, as well as reducing carbon footprint.The study emphasizes the importance of integrating technologies such as machine learning and big data into logistics to increase flexibility and adaptability. Recommendations were offered to further improve and implement these technologies for sustainable business development and increased competitiveness in international markets.

Improving efficiency and diversification of services inside a logistics company under price dumping.