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Improvement of Employee Motivation System in Organization.

This bachelor's thesis aims to explore the theoretical foundations and develop measures to enhance the motivation system within an organization. The theoretical framework delves into the aspect of labor motivation among personnel, highlighting motivation as a pivotal success factor in any organization. Special emphasis is placed on motivation within the organizational context, with examples showcasing successful enhancements in employee motivation.The thesis discusses various research methods and procedures pertinent to employee motivation within the organization. Detailed analysis of the company's operations and motivation system is conducted, identifying key features and undertaking a comprehensive review of current employee incentive methods. Additionally, it delineates conditions and different types of research methodologies concerning the company's motivation system, as well as outlining the methodology for analyzing employee survey results.The study meticulously analyzes all aspects of the existing motivation system within the company. Drawing upon the survey results and findings, considerable attention is devoted to enhancing motivation and formulating pertinent recommendations for enhancing the company's motivation system management.

Author: Yury Klyhun

Supervisor: Ishgalei Ishmuhametov

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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Development of Digital Marketing Activities for Kure Pizza

This research investigates the development of digital marketing activities for a pizza dining establishment in the catering industry of Azerbaijan. Due to the swift changes in consumer behaviour and growing number of competitors in the catering industry, the restaurants have to adopt and implement digital marketing activities to effectively engage with the target consumer base. The study looks into overall outlook and ongoing trends in the catering industry of Azerbaijan. Utilising research methods including best practices comparison, competitive comparison, survey, and interviews, the author aims to identify and suggest digital marketing activities for the pizza establishment to improve engagement with its consumers and drive more sales through enhancement of its online presence and digital marketing efforts.

Author: Zahid Pashayev

Supervisor: Olga Zervina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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Customer Acquisition methods in transport service companies

The aim of Diploma thesis is to analyze customer acquisition methods in logistics industry, thereby proposing suggestions for its improvement. Diploma thesis tasks are to explore the theoretical aspects of customer acquisition. Interview companies in transport and logistics service industry. Perform a survey of DSV Latvia sales representatives. Conduct a consumer survey on customer acquisition methods. Draw conclusions and develop proposals on customer acquisition methods for the company DSV Latvia.First chapter of the thesis compiles the customer acquisition methods. Second chapter describes the activities of DSV Latvia. Chapter three analyzes the results of the surveys and interviews. The thesis concludes with conclusions and proposals for the use of customer acquisition methods for transport and logistics service companies.The research methods include literature analysis, interviews, and surveys. Achieved results - customer acquisition methods have been explored. Customer acquisition methods have been identified within the company DSV Latvia. It has been determined what customer acquisition methods other transport and logistics service companies use. Proposals have been developed for the use of customer acquisition methods for transport and logistics service companies.

Author: Ērika Giberte

Supervisor: Renāte Indrika

Degree: Professional Bachelor

Year: 2024

Work Language: Latvian

Apply a Machine Learning Model to Mitigate Bias in the Future AI-based Recruitment

In the contemporary landscape of Human Resources, the integration of artificial intelligence presents both opportunities and challenges, especially in the field of recruitment encompassing all stages of the process, from candidate sourcing to final selection. However, this integration is not without its challenges. Biased data, originating from historical data or societal prejudices, can present a significant obstacle, potentially perpetuating discriminatory practices. The study "Apply a Machine Learning Model to Mitigate Bias in the Future AI-based Recruitment" aims to comprehensively analyze existing biases from both human and artificial intelligence perspectives within the recruitment process. In its framework, answers to the research questions are sought: what are the existing biases in the recruitment process, both explicit and implicit, and how can biases in the recruitment process be effectively mitigated or eliminated through modeling techniques in future AI-based recruitments systems. Through a data-driven approach and the development of machine learning models, will be discover what kind of biases exist in the selection process and how to mitigate them.

Author: Ērika Todjēre

Supervisor: Jeļena Kijonoka

Degree: Master

Year: 2024

Work Language: English

Study programme: Computer Sciences

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Development of a Cryptocurrency Trading Bot using AWS
Cloud Solutions

This bachelor thesis focuses on developing an automated trading bot for the cryptocurrency market. The goal is to create a cryptocurrency trading bot using of the Mean Reversion strategy and implement Cloud Solutions and Binance crypto exchange support.The process of development included establishing AWS infrastructure, such as EC2 instances, API Gateway, and Nginx, for hosting the bot. The bot's design is made up of separate modules that can be easily expanded allowing for adding the support of other crypto exchanges. As the result, the bot uses mean reversion algorithm on user chosen trading pairs, and places the order to sell or buy according to the algorithm decision. Moreover, it uses Binance API to access and manage user's cryptocurrencies.The bot was successfully tested in a real trading environment and proved to increase initial capital and manage risks. This thesis showcases the possibilities of combining

Author: Ēriks Mašinskis

Supervisor: Karina Kostjkina

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Computer Science

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