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Course of studies
All the companies need to plan and budget for future. For planning they need sale forecasting so that accordingly they can manage their supply chain efficiently. Companies do have historical data which can be used for forecasting sale. However, the accuracy of the predictive model depends on the quality of data which is being fed to the model. Poor data quality may result in poor forecasting. Hence, there is need to work on data quality management and to formulate some generic approach for ensuring data quality. Besides, it is also required to detect abnormal sale from the past data, get the reason for those abnormal sale records and remove them from the data. Subsequently, cleaned data can be used to work on predictive modelling which will forecast sales with the most likelihood of near to accurate results. These historical data can be analyzed as a time series data by using as simple time series analysis as ARIMA or by using complicated neural network. Evaluation of these predictive models will help in making a decision of selecting a best fitted model for future forecasting. The thesis aims to work on data quality management of raw data and then analyze time series data to determine predictive model for forecasting. Besides, thesis also aims to understand how data is collected and how organization performs sales processes. This would not only facilitate in finding and bridging the gaps in the business processes but also in preparing the organization for the state-of-the-art technologies to enhance their business for future.
In the past decade the world saw an unprecedented economic boom followed by a similar bust. Most economies are still recovering and some experiencing sluggish growth. Various reasons have surfaced as to the cause of this economic boom. However, this paper explores the build-up of excessive debt as a result of financial development in spurring up the economy. This paper identified that the financial deepening coupled with other macro-economic factors have expanded credit in the economy. All sectors accumulated high levels of debt. As part of this study, an analysis of household debt was carried out, using a dataset of 30 European countries in order to ascertain determinants of debt. The results showed that household debt has a statistically significant positive correlation with Gross Domestic Production per capita and Life Expectancy at Birth. Additionally, Gross Savings and Gross Domestic Savings also had a positive correlation. This paper concludes by submitting that financial development should be reset to what it was best at doing in the first place, that is intermediation of finance so that efficiency of investment can be improved. Hence economic development.
This study aims to deliver a strategic and systematic analysis about the consumer loans banking business with the integration of industry 4.0. Industry 4.0 itself comprise of a lot of things in regards of advance technology being used in order to create more value to the company. The purpose of this study also determine which components of industry 4.0 are suitable and applicable in the consumer loans banking business. This thesis uses secondary data as a primary resource to provide research objective. The secondary data collected through the use of published journal literature as well as the academic literatures. The research starts by providing the general information and literature about the consumer loans banking business and the industry 4.0 as well. Following by the reason why the consumer loans banking business need the technological advancement of industry 4.0. Next, this thesis also gathers the quantitative data related to financial measurement to provide more understanding the consumer loans banking business. The analysis is carry out by using the three level of environmental analysist segmentation in which commonly use for the industry analysis. The first factor is the PEST analysis, it resembling the external factor of the industry, second is the Porter’s five forces to explaining the operating forces within the industry, the third is the value chain analysis. The findings of this thesis pose important implication for bank consumer loans business stakeholders with the purpose to integrate or related to industry 4.0 technological advancement, providing enough information about the keys factor and analysis behind the industry.
The pivotal role of the service industry in the economy is increasing over the last decades, as shown by the significant contribution to the GDP made by travel and tourism. Among the varied range of travel companies, this paper focuses on travel agencies. The objective of the thesis is to find out the key drivers, which lead to the success of European travel agencies and to point out the factors that make them unable to compete and develop sustainably. This paper uses the PESTEL model, Porter’s Five Forces model analysis, flywheel concept and spontaneously conducted interviews with travel and tourism industry experts. A case study approach is adopted. There is also the analysis of the financial statements, business model and strategies of the top 15 world-leading travel agencies to find out the market structures and competitors’ behaviors. From the collected data and examination, three primary factors that lead to the sustainable development of travel agencies and four main factors that decreed the failure were identified. Besides, the research also finds out the answer for the three research questions: technology is the disruptive forces in the travel agency industry, there will be no monopoly in this industry at least in the next medium-term, and the adaptation of a new business model is possible. Finally, the study proposed a sustainable development model for a European travel agency as well as directions for future relevant research.
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.
The current master thesis makes an effort to investigate relationships between perceived service quality, membership satisfaction, and membership loyalty at “Gesellschaft für technische Kommunikation – tekom Deutschland e.V.”, applying adjusted SERVQUAL model. To attain the formulated objectives in scope of the current research, the “Satisfaction – Profit Chain” model is applied, consisting of “Attribute Performance”, represented by SERVQUAL service quality dimensions supposed to serve as antecedent of the second component of the chain “Membership Satisfaction”, and “Membership Loyalty” in order to investigate relations between these three. The findings of the study are supposed to serve as a basis for altering the existing CRM Strategy in order to eliminate current issues within the association, develop strategic marketing capabilities, and create value for members’ attraction and retention.