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Although the market share of a specific airline is very often a rough estimation, it is still of great importance for the airline top management. In order to make the right strategic decision, management should be aware of its current position and its competitors. This information is important to decide on the airline’s fleet assignment, revenue management and planning and scheduling. A variety of different models exists for market size and market share forecasting. Since no single model provides accuracy, airlines usually combine and compare the results of different approaches. Generally speaking, market share can be estimated using different starting parameters, such as flight frequency, fare, quality of service, number of airplane’s seats, time of departure, etc. The market share depends also on its competitors’ strategy and current economic situation. As it is almost impossible to take into consideration all these parameters in one model, different techniques very often provide different results, and it is the task of the airline network planners to calibrate and validate the model. In this Master Thesis I consider market share as a parameter whose value is between 0 and 1 and which is calculated as a ratio of passengers travelled by a specific airline to a total number of passengers travelled between a given pairs of cities. This Master Thesis presents two objectives. First, it gives an introduction to the history of the airline industry. It analyzes the main factors affecting the demand, gives and overview of the airline network management and presents the most popular models for market size and share forecasting. Second, it estimates the airlines’ market shares for a given set of city pairs for 2013 and 2014 and finds the formula which can be used for future network planning. The estimation is conducted using the Multinomial Logit (MNL) model.
Clinical Research is expanding into an international and more regulated environment, specifically its quality management. Pharmaceuticals and Research Organizations are investing significant amounts of money as well as the regulatory agencies. The U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) are improving and developing regulations and meetings to standardize globally these practices. Therefore this Thesis integrates and extends the FDA and EMA recommendation of implementing “Risk based quality management” in Clinical Research protocol execution with a multisource point of view and the proposal of adding a Risk Management Report as an output, which will work also as an input for future protocols implementation. Diverse articles and regulations related with Quality Management and Clinical Research Processes were reviewed to work as a base for the analysis of this thesis. Risk Based Quality Management is the actual trend and newly implemented process to improve quality in clinical research. The goal of this Thesis is to combine the different actual factors, methods and regulations in order to expand Risk Based Quality Management and reach a better degree in quality and standardization. The question therefore is whether this redesigned Risk Based Quality Management process can really be incorporated with the actual practices, and if it is possible to adopt it in Clinical Research.
Corporate debt volumes in emerging market economies have been increasing greatly post 2007-2008 financial crisis. Debt levels have increased across the globe however, the pace is faster in emerging markets than in advance markets. Major countries in emerging economies such as Brazil, Russian Federation, India and China (BRIC) have a large and concentrated share in growing corporate debts. Although, both company specific factors and macro level factors have impacted the corporate borrowings leading to depressed corporate earnings, financial strains and capital outflows in emerging markets the impact of company specific factors is highly pertinent and demands research. The rise in debt levels has affected the return on earnings (ROEs) of the corporate companies which in turn is adversely impacting emerging economy and its financial stability. This paper has empirically tested for the explaining effects of rising corporate debts and changing return on assets (ROAs) on ROEs of emerging market corporate by establishing a multiple regression model. A sample of 100 corporate companies from BRIC countries has been taken to test the model. The test results confirm the importance of corporate debts in predicting ROEs and possible financial strains. Finally, the regression model has been used to estimate ROEs of these corporate companies for the next 5 years with specific recommendation and policy implication to avoid financial crisis.
Zombie companies are widely discussed ever since the ‘lost decade’ in Japan. The prolonged recession was experienced for almost two decades and in great deal attributed to the zombie companies. The Eurozone is currently in recession and is experiencing a growing incidence of zombie companies. If this trend is not stopped but encouraged by the negative interest rates, there is a possibility for a prolonged recession or even secular stagnation. This study aims to examine the reasons for the emergence and existence of zombie companies in the past. It discusses the implications zombie companies had on the aggregate macroeconomic indicators. In discusses how zombie companies should be treated and whether they must inevitably be foreclosed. To determine the severity of the problem, it examines the incidence of zombie companies in selected industries in the Euro periphery countries based on their interest coverage ratio (ICR). The results show that there is no significant incidence in the selected markets. It concludes whether currently, the zombie companies are a real threat to the economy of the Eurozone. Furthermore, it suggests ways how the problem of zombie companies should be prevented and treated.
Crowdlending is a growing business model that originated from the new crowdfunding phenomenon. It consists of funding companies’ loans through joining money from many investors in exchange for regular payments. One important key value in this model is the speed of the credit approval and the investment choice. The upcoming crowdlending platforms facilitate their growth through the automation of those processes. This study explores the creation of a credit-scoring model for an entrepreneurial platform, in order to fulfill the necessity of quickly determining the risk and the characteristics of loan applications for SME companies. This study will also analyze the pricing loan strategy based on the risk of the operations. Finally, the thesis suggests a of the loans and concludes with a series of improvement measures for the model.
The Syrian Refugee Crisis in Germany has been lately a constant research topic in many fields; politics, economics, cultural, social and safety aspects etc. popping up in all the news worldwide. Everybody is concerned about it and tackling it from a different point of view. Some believe that it a mutual benefit to both the country (Germany) and the refugees. As Germany benefits a lot form the cheap labor of migrant workers in the different industries. Specially the fast growing industries like the rural ones. Others fear that they will weaken the German culture and economy. And that they are burdens on the national people and will cause many problems.
In this paper two aspects of the challenges facing the Syrian refugees in Germany are discussed: the first is their integration and acculturation with the German society and the second is the challenges facing the refugees in entering the German labor market and case studies of Syrian entrepreneurs who developed their own family businesses in Germany are presented. The interviews were held with Syrian refugees in the state of Baden-Württemberg in 2015/2016 in Arabic language. The groups that were interviewed were in Villingen-Schwenningen and Stuttgart. An analysis of the cases presented along with the findings of the surveys and interviews are presented and finally some recommendations are suggested.
Life insurance penetration rate in Malaysia has been stagnant in the past few years although a few InsurTech companies set up in Malaysia recently. Prior researches on InsurTech fail to clarify the gap of the target customers’ and the insurance experts’ opinions on how to enhance the customer experience in online life insurance with the help of Artificial Intelligence (AI). To address this, a model is recommended based on the literature review on similar articles and survey results conducted on both target customers and insurance experts. The recommended model has four main components: official website by InsurTech companies collaborated with traditional life insurers, customer support, customer service and customer engagement.