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Securing the future of remote work: Novel cyber threat mitigation strategies

The business environment has been greatly changed by the COVID-19 pandemic, accelerating the shift to remote work and increasing organizations' susceptibility to cyber threats. Conventional security approaches that concentrate on perimeter defense have been ineffective in addressing the challenges of remote work environments. This thesis examines new risk mitigation strategies for addressing cyber threats, focusing on implementation and effectiveness of zero-trust security frameworks. This study uses a mix of qualitative and quantitative research methods, including whitepapers analysis and expert questionnaires, to identify significant cybersecurity threats linked to remote work. It assesses the effectiveness of zero-trust principles and explores cybersecurity professionals' perception and understanding. The results show that adopting a zero-trust framework greatly improves an organization's security posture by implementing stringent access controls and continuous monitoring, reducing risks like breaches, phishing attacks, and other cyber threats. Furthermore, the research emphasizes the difficulties of zero-trust architectures implementation, such as the required cultural shifts within organizations and technical requirements.

Author: Jana Kudinova

Supervisor: Mihails Savrasovs

Degree: Master

Year: 2024

Work Language: English

The automated business processes integration and their impact on SMEs in Latvia

This thesis investigates the integration of automated business processes within SMEs (small and medium-sized enterprises) in Latvia's fintech sector, focusing on identifying specific challenges and opportunities. It emphasizes the role of automation in enhancing operational efficiency and enabling SMEs to allocate more resources to strategic and innovative tasks. The research has developed a conceptual framework and provides practical recommendations to assist SMEs in effectively integrating automated processes. The first chapter reviews digital transformation (DT) and business process automation (BPA), including robotic process automation (RPA). The next chapters focus on the survey and interview analysis using the Analytic Hierarchy Process (AHP) and Domain Mapping Matrix (DMM) methods. The fourth chapter presents a business case for integrating BPA in SMEs with examples and discussions on implications. Chapter five introduces a framework for future BPA initiatives and offers practical recommendations for companies integrating BPA.Key findings indicate that while automation offers substantial efficiency and cost-reduction benefits, its practical implementation requires carefully crafted strategies tailored to SMEs' needs.

Author: Jevgeņija Fatunova

Supervisor: Soltani Mohammad

Degree: Master

Year: 2024

Work Language: English

Vibration Analysis-Based Fault Diagnosis of Tool Conditions on Electric Motor-Powered Machine Tools Using Convolutional Neural Networks

This thesis explores and evaluates techniques for utilizing vibration analysis and Convolutional Neural Networks (CNNs) to assess the condition of drill bits installed on electric motor-driven drills. By strategically positioning an Inertial Measurement Unit (IMU) sensor to capture acceleration data, a wide range of vibration signals can be gathered in different operational scenarios. The CNN models undergo training and validation utilizing this data to precisely detect various fault conditions and operational states of the drill bits, showcasing the possibility of implementing scalable and reliable fault detection systems in industrial environments. The research attains a Technology Readiness Level (TRL) of 3, as demonstrated by trials that effectively categorize machine conditions using CNNs, hence confirming the critical functions of the proposed technology. The aim of this study is to assess the efficacy of vibration analysis in classifying the operational state of a drilling machine as either good, moderate, or bad.Vibration analysis is a method used to analyze the oscillation patterns of a machine in order to identify problems such as misalignment, imbalance, and wear.

Author: Marawan Mohamed Ahmed Elsayed Youssef

Supervisor: Emmanuel Alejandro Merchan Cruz

Degree: Master

Year: 2024

Work Language: English

Role of Social Media in Promoting Ecotourism

Keywords ECOTOURISM, SOCIAL MEDIA, PROMOTION, INDIAThe research aim is to assess the impact of social media on boosting ecotourism in India. The subject of the research is impact of social media on improving the attractiveness of ecotourism in India. The object of the research is ecotourism in India. Research objectives are as follows: to conduct theoretical analysis regarding the social media and their impact on promoting ecotourism; to conduct industry analysis regarding the ecotourism in India; to develop an empirical research methodology and complete survey and interviews regarding the impact of social media on ecotourism attractiveness; to provide recommendations for the managers involved in ecotourism aimed at improving the attractiveness of ecotourism by means of social media. The results show that there is a significant social media role in transforming the landscape of tourism, particularly in the context of sustainable tourism and ecotourism promotion. The social media inspire people to choose ecotourism if the content is engaging, visually rich and including practical information; they serve as a source of information providing details about destinations, available activities, accommodations and transportation options, and impact decision-making.

Author: Navjot Kaur

Supervisor: Yulia Stukalina

Degree: Master

Year: 2024

Work Language: English

Study programme: Business and Management

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Development of Trucking Services In Nigeria: Problems and Perspectives

This study delves into the current state of the Nigerian trucking services, aiming to improve efficiency and identify potential areas for growth. We employ a multi-pronged research approach utilizing both quantitative and qualitative data. First, a comprehensive literature review gathers existing knowledge. Second, secondary data analysis examines the current trucking landscape, including its connections with other transportation modes. Third, stakeholder interviews capture diverse perspectives from truck owners, drivers, manufacturers, and policymakers. Fourth, a public survey gauges public opinion and industry potential. Fifth, in-depth case studies compare and analyze three distinct trucking companies with unique business models with a SWOT analysis to evaluate each company considering their economic value contribution. Finally, the research utilizes a network model to optimize logistics and efficiency. Results are presented visually and discussed in detail. Recommendations for improvement are formulated based on the findings. The study concludes by acknowledging its strengths and limitations.

Author: Olusola Adepoju Ademola

Supervisor: Berdymyrat Ovezmyradov

Degree: Master

Year: 2024

Work Language: English

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