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Change management in catering companies in the context of the digital economy

The first chapter describes that based on digital platforms as the main factor of production, labor relations and labor functions are being transformed. In the modern economy, various industries and activities are being transformed, new industries are being formed, based only on the use of new technologies.The second chapter describes that the catering sector is very competitive in the Latvian market. In the context of transformation of the labor market, there are changes in the requirements for employees, which are associated with their personal development and desire for personal growth. Digitalization is transforming existing jobs, requiring workers to have new skills to perform new tasks, requiring continuous training.The third chapter describes that in a market economy, digital business transformation can drive growth, productivity and competitiveness. Digitalization allows us to minimize the risk of human error and free up specialists’ time to solve more important issues.The fourth chapter analyzes the main activities and problem areas of the enterprise, analyzes and proposes promising concepts for personnel management of an existing enterprise in the Latvian public catering market, since in modern changing conditions personnel are the key asset of the enterprise.

Author: Alīna Uļjanovska

Supervisor: Oksana Skorobogatova

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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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.

Author: Ana Enache

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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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.

Author: Anastasija Škaduna

Supervisor: Berdymyrat Ovezmyradov

Degree: Professional Bachelor

Year: 2024

Work Language: English

Implementation of Variable Pitch Angle Fan Blades on Gas Turbine Engine

This diploma thesis explores methods to enhance the efficiency of gas turbine engines with a focus on high bypass ratio engines. The study is structured around three objectives: (1) reviewing the principles, and advancements of gas turbine engines, (2) analyzing the design features and challenges of high bypass ratio engines, and (3) developing a variable pitch angle fan mechanism to optimize performance.The analysis of high bypass ratio engines details and their advantages, while addressing challenges in thermal management and cooling. The study successfully proposes a conceptual design for a variable pitch angle fan, demonstrating its potential to adapt to varying flight conditions and enhance overall engine efficiency.The findings suggest integrate innovative cooling, sealing technologies, and advanced control systems can significantly improve performance. The proposed variable pitch angle fan mechanism shows promising results in optimizing engine efficiency. This thesis concludes that the implementation of these advancements can achieve a notable increase in gas turbine engine efficiency, contributing to the advancement of aviation technology. Future research should continue to refine these solutions and explore additional methods to enhance engine performance.

Author: Andrejs Kazanli

Supervisor: Aleksandrs Medvedevs

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Aviation Engineering

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Application of innovative technologies to organize control over the movement of freight transport.

Bachelor work: „Application of innovative technologies to organize control over the movement of freight transport”.Author of the paper: Anzelika Davidova.Scientific supervisor: Lecturer (program director), Mg. oec. Aleksandrs Kotļars.Paper for obtaining the degree: „Transport and Business Logistics”.The research goal: The goal of this thesis is to develop recommendations for optimizing freight transport traffic control by analyzing innovative technologies such as blockchain, IoT, autonomous vehicles, and ICT.Research object: Management and organization of freight transport traffic control systems.Research subject: Application of blockchain technology to enhance and innovate freight transport traffic control systems.Chapter 1: The role and importance of freight transport in business and entrepreneurship, including its importance in supply chain management and economic contribution.Chapter 2: Analysis of freight transport, with an emphasis on its efficiency, the situation in Latvia and environmental aspects.Chapter 3: Application of innovative technologies in the field of freight transportation, including automated vehicles, autonomous drones and blockchain.

Author: Anželika Davidova

Supervisor: Aleksandrs Kotļars

Degree: Professional Bachelor

Year: 2024

Work Language: English

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