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Evaluation of German Life Insurers Based on Published Solvency and Financial Condition Reports: An Alternative Model
Quantitative data relevant to the analysis was extracted from the individual Solvency and Financial Condition Reports reports and transferred to a systematic overview. To make the collected observations usable, they were transformed into various growth, profitability, and security ratios cited in the literature, thus enhancing comparability. The data transformed into ratios were presented in histograms with ten intervals each, and a score between one and ten was assigned depending on the ratio value. In addition, four qualitative risk categories were initially identified, based on which the model would be operationalized. These were underwriting risk, market risk, credit risk and operational risk. Artificial intelligence was used to design seven questions on the requirements of Article 295 of Delegated Regulation 2015/35. Specifically, there were questions on the methodology of risk assessment, the description of specific measures, the comprehensibility of the measures, information on risk concentrations and the impact on the risk profile of the company as a whole, and risk mitigation measures and their effectiveness. Points were awarded from one to four, depending on the quality of the text used to answer the questions, based on the Appelfeller and Feldmann maturity model.
COVID-19 Virtual Teaching and Learning Impact on TVET Students’ Academic Success
The COVID-19 pandemic necessitated many essential modifications across all sectors of the economy, including the education sector. Before the COVID-19 pandemic, the Technical and Vocational Education and Training lecturers were offered via a blended mode. The COVID-19 pandemic commanded entire Virtual Teaching and Learning for these students and lecturers. The article looks at the impact of student academic success due to only Virtual Teaching and Learning during the COVID-19 pandemic in the Department of Technical and Vocational Education and Training (TVET) at the Namibia University of Science and Technology (NUST), Windhoek, Namibia.
Transformative Forces: Social Entrepreneurship as Key Competency
This approach requires a deep understanding of societal challenges, strong business acumen, and collaborative efforts to accomplish shared goals. Essential interdisciplinary skills such as critical thinking, effective communication, teamwork, and problem-solving are crucial and transferable across industries and positions. Embracing digital transformation additionally boosts social entrepreneurship, enabling the creation of new products, streamlined operations, and broader outreach to diverse audiences.
Virtual Learning Experiences Among Postgraduate Students in Namibia
Significant transformations in conventional learning have occurred due to the COVID-19 pandemic, underscoring the imperative for novel approaches to education. Virtual learning technology (VLT) offers an immersive and engaging education that can revolutionize teaching and learning paradigms and modern experiences.
Designing a Framework for Assessing Agripreneurship Action for the Green Scheme Irrigation Projects, Namibia
International Journal of Innovation and Economic Development Volume 9, Issue 6, February 2024, Pages 42-62…
The Potential Utilisation of Artificial Intelligence (AI) in Enterprises
By identifying how enterprises utilize AI, what is the impact of implementing AI in enterprise operations, and how does it affect the efficiency, productivity, and overall performance of the business? This exploratory research begins with insight into understanding AI and addresses how AI has been utilized and implemented in businesses, ethical and societal considerations, and potential benefits and challenges that businesses may confront.
Case Study – Developing a National Research and Evidence Base for The Health and Wellbeing Chapter of The Welsh Government’s 2023 Innovation Strategy for Wales
This paper presents research informing the Welsh Government’s (WG) Health and Wellbeing chapter of the new Innovation Strategy for Wales (ISW). WG recognises the need for a cross portfolio Innovation Strategy to bring greater coherence and alignment to our existing Welsh health and social care innovation ecosystem, particularly in a post EU environment.Our analysis of qualitative data collected through an extensive consultation process led to the emergence of areas of prioritisation for the ISW. Three areas of prioritisation were identified in the analysis: a) Creating coherency across the innovation ecosystem, where every partner understands their role; b) Focusing innovation activity on NHS Wales organisational needs/priorities, generating ‘Innovation Pull’; c) Creating an ‘adoption ready’ pipeline of innovation externally into health and social care at scale, creating an ‘Innovation Push’ offer.
Current Developments on the Chinese Real Estate Market
This paper examines the current situation in the Chinese property market. We have analyzed the current literature and statistics for this purpose. The analysis of these four perspectives shows the current complex environment in the property sector.
Sentiment Analysis, Social Media and Urban Economics
The research compares the predictive capacity of Twitter sentiment regarding Covid-19 with traditional housing price predictors, such as structural and neighbourhood characteristics. Findings indicate that utilizing Twitter sentiment related to Covid-19 yields superior predictions compared to relying solely on traditional predictors, outperforming two specific traditional predictors.
Buyer / Seller Relationship in the Services Sector at the Bottom of the Pyramid
The paper aims to investigate if the relationship formed between the buyers/sellers can impact the organization’s financial performance through customer satisfaction. The study also showed that the customers at the Bottom of the Pyramid are not usually well acquainted with the benefits of the products and their rights as consumers.