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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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Resilience of startups emerging from incubators: factors for successful long-term
sustainability

The bachelor thesis consists of 3 chapters which provide constructive overview of current Latvian innovation market situation and descries the phenomenon of startup, also defining the factors of success and present the picture of project BUSEE.The first chapter defines the concept of startup and innovation activity. Providing the list of development and lifecycle of startup project. The activity of startup in different sectors were noted. And finally, examination of current trends in startup development industry.Second chapter in other case stands for brief description of Latvian innovation environment. Also covering the role of the government, private sector, and academic sphere in supporting innovation. Identifying the key factors of success and obstacles for startups and analyzing the afterwards The last chapter is defining the factors of sustainable development of the startup project BUSEE by providing complete overview of goals, tasks, and project stages, financial justification and project risk management. Additionally, assessing the project's contribution to innovation development in Latvia and showing paths for further development of project BUSEE.

Author: Artjoms Čubs

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2024

Work Language: English

Study programme: Business and Management

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Design of the concept of innovative development of the enterprise

The first part is devoted to theoretical considerations about the theory of innovation, the innovation process as a company's continuous innovative development.In the second part, it is described that vegetable cultivation is important in the agricultural sector, the main players in the market, both in the agricultural sector and in the vegetable processing markets, and the economic factors are analyzed.The third part describes the way the company operates, growing and selling vegetables, the idea and establishment of the company. What investments are needed to achieve better productivity and improve product quality.In the fourth part, the company's development plan regarding innovative developments in lyophilization, the development of management decision-making criteria, the description of the proposed company's development scenarios and the compilation, justification of the project budget, the opinion of consumers, are developed. Evaluation of the results obtained as a result of the implementation of the new concept.Practical value - the main task of developing the company's development strategy is to become an example for placing the company in a leading position and increasing productivity.

Author: Irina Judina

Supervisor: Oksana Skorobogatova

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Business and Management

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Development of Project Management Assistance Software Enhanced with Generative AI Technologies.

This thesis explores the practical value of applying Generative Artificial Intelligence in project management software to enhance a manager's work. The aim is to evaluate the efficiency and impact of GenAI on project management processes. The research begins with a review of existing academic and industry literature on integrating AI in project management. This is followed by detailed case study analyses of instances where AI has been integrated into project management tools. The Software Development Life Cycle methodology is used to develop and test the software, incorporating a prototyping phase to explore and validate concepts before full-scale development.The results of this study include creating a GenAI-powered software that significantly speeds up the staff selection process for projects by matching project requirements with personnel skills. The findings indicate that the developed software effectively leverages GenAI technologies to enhance the project management process, simplify managerial tasks and contribute to more efficient and accurate decision-making processes. This research highlights the potential of GenAI to transform project management practices and drive future innovations.

Author: Pāvels Kulajevs

Supervisor: Aleksejs Vesjolijs

Degree: Bachelor

Year: 2024

Work Language: Latvian

Study programme: Computer Science

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