https://www.um.edu.mt/library/oar/handle/123456789/130236 Tue, 14 Apr 2026 12:41:25 GMT 2026-04-14T12:41:25Z https://www.um.edu.mt/library/oar/handle/123456789/130747 Title: Risk assessment and coverage analysis for agricultural insurance innovations in Kenya Abstract: Crop insurance plays a crucial role in mitigating the financial risks farmers face, especially in developing countries like Kenya, where agriculture is a significant contributor to the economy. The current conventional insurance solutions frequently have to sufficiently examine the dynamics of the agricultural risk characteristic of such environments. The research aims to reinvent risk assessment and insurance provision by using satellite imaging, weather sensors, and the application of data analysis combined with new forms of insurance, including index insurance, parametric insurance, and micro-insurance. By adopting a systematic approach to the research, this work aims to improve the efficiency and availability of Kenyan farmer’s agricultural insurance products. The advancement of such technology could help lessen the economic volatility brought by volatile climates, destructive pests, and diseases, as well as market volatility, thus strengthening the stability of the farmers and guaranteeing food supply and stability. Further, the research is capable of providing possibilities to boost the economic development of rural areas, encourage ecological and efficient approaches to agriculture, and create poverty reduction and other aspects of socio-economic improvement. Mingling critically with other domains of knowledge in this interdisciplinary endeavour is academically fulfilling while reinforcing the global call for resilience, sustainable, and inclusive agriculture systems deemed socially responsible. Description: M.A.(Melit.) Mon, 01 Jan 2024 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/130747 2024-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/130746 Title: The effectiveness of training on embedding risk culture Abstract: Organisations rely heavily on their employees; their performance primarily determines their success. Through ongoing training, companies must invest in their employees' skills and knowledge to remain competitive and adapt to the ever-evolving business landscape. Practical training not only leads to a substantial risk culture by reducing unnecessary risks but also increases efficiency and awareness of potential risks among employees. This research delves into the crucial elements for successful risk training and cultivating a risk-aware culture. To achieve this, organisations must conduct a thorough training needs analysis, establish clear training objectives, provide suitable training facilities, and engage with employees to determine the optimal training program. The study includes participation from individuals across various industries, and the author employed a combination of qualitative and quantitative questionnaires to gather information. According to the research, employees are eager to participate in training programs if they can access the appropriate tools and a supportive environment. The study exam ined five key factors, including "Risk interpretation," "Training tools," "Risk structure," "Training methodology," and "Training enrolment." The findings suggest that demo graphic factors, such as education level, industry, employment status, and type of training, can significantly impact the effectiveness of training initiatives. However, the study did not find a statistically significant relationship between gender, age, or job position and the success of training programs in a professional setting. For training models to be truly effective, there must be open communication between organisations and their employees/trainees. This fosters a training program that is tailored to meet the individual preferences of employees while also aligning with the overarching objectives of the company. A well-crafted training program can profoundly impact an organisation's efficiency, empowering it to achieve strategic goals and meet training needs quickly. Description: M.A.(Melit.) Mon, 01 Jan 2024 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/130746 2024-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/130743 Title: Navigating cultural currents : a qualitative analysis of cross-cultural aspects in organisational risk management based on Trompenaars' cultural framework Abstract: This dissertation aims to research how cultural currents influence risk management practices in multinational organisations. It focuses on the frameworks developed by Geert Hofstede and Fons Trompenaars, with a particular emphasis on Trompenaars' dimensions of Universalism vs. Particularism, Neutral vs. Emotional, Specific vs. Diffuse, and Achievement vs. Ascription. A qualitative methodology was applied, conducting surveys with open-ended questions to collect insights from professionals working in multicultural environments, primarily in the banking and financial industry. While Hofstede’s and Trompenaars' frameworks, along with other methodological theories, are reviewed, the central focus remains on Trompenaars' Seven Dimensions of Culture for survey and analysis. The findings demonstrate the critical role of cultural factors in developing organisational risk management strategies. Practical recommendations are provided for improving these strategies in culturally diverse settings, helping organisations to navigate cross-cultural challenges more effectively. Additionally, this research contributes to the existing literature on cultural implications in organisations, focusing specifically on individual behaviour in decision-making processes. It concludes by detailing the key cultural dimensions and discussing their broader impact on risk management, while offering valuable insights for academic researchers and practitioners in cross-cultural organisational studies. Description: M.A.(Melit.) Mon, 01 Jan 2024 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/130743 2024-01-01T00:00:00Z https://www.um.edu.mt/library/oar/handle/123456789/130718 Title: Complex corporate structures : a risk assessment Abstract: Context This dissertation aims to identify the key risk factors contributing to the complexity of corporate structures and provide a comprehensive framework for the assessment thereto. This in view that there is no clear guidance on how ‘complex corporate structures’ should be measured by different bodies within different sectors and leaves room for interpretation. Complex structures are especially prevalent within the Financial Services industry due to a number of factors, including exposure to different jurisdictions, multiple ownership layers and variety of corporate entities involved in such setups. Purpose This study seeks to evaluate risks associated with the ownership and control structure of financial institutions licensed by the Malta Financial Services Authority. This objective was achieved by gathering information from publicly available sources and analysing the various factors contributing to the complexity of corporate structures, such as the presence of entities incorporated in less transparent jurisdictions, use of complex corporate vehicles and elevated number of ownership layers. Methodology Higher risk scenarios, such as increased transparency risks, were identified using a risk scoring methodology specifically designed for this study. These scenarios are further illustrated through case studies that provide tangible evidence of sophisticated ownership structures being misused for activities such as money laundering, corruption, sanctions evasion, and other illicit activities. The study is being performed through a systematic review, referring to literature that is relevant to the topics around the ‘Risk’ ‘Assessment’ of key ‘Indicators’ of what is considered ‘Complex’ in relation to ‘Corporate’ ‘Structures’, in an attempt to address the following research question: What are the key risk indicators contributing to ‘Complex Corporate Structures’ and how can these be assessed? Description: M.A.(Melit.) Mon, 01 Jan 2024 00:00:00 GMT https://www.um.edu.mt/library/oar/handle/123456789/130718 2024-01-01T00:00:00Z