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The business environment has changed within the past few decades. Growing global competition and the trend of shortening product life-cycle have reshaped the market, coercing companies into reconsidering their business strategies and product development. Higher quality, better time-to-delivery, and cost optimization are crucial factors for firms to compete in this tumultuous market. Therefore, companies are adopting a New Product Development (NPD), which is agile and customer-centric. The path toward change, however, is not identical for every enterprise since companies have their own unique organizational architecture and culture, demanding a thorough consideration of various facets of change, which is the focus of this study. EKU Power Drives, the company case study for this research, is actively involved in innovating electrification solutions and embedded software control for mobile power generation in the oil and gas industry upstream segment. The firm is considering transforming to an agile-based framework to fulfill its vision, which is becoming the most preferred partner for the key players in the target markets. This study aims to investigate the optimal Agile methodology and framework for the case study according to its business context, identify the challenges and how to address them, and outline an implementation procedure.
As prerequisite to final graduation of my master in international business management MBA at Business School, Hochschule Furtwangen University, I conducted this Thesis but also as a practical business case that match with the nature of my master’s focus of international business and could be used in real life.
I put myself as a member of project’s managing team for a pharmaceutical company, this team as a part of strategic decision-making process is responsible about assessing different potential international markets and segments as a part of the company plan to expand their operations, tape and penetrate new markets.
Narrowing down the options to two geographic markets (Germany & Saudi Arabia) and two pharmaceutical segments (Diabetes& OTC), starting this assessment with macro analysis (PESTEL) of Germany and Saudi Arabia followed by micro analysis (Porter’s five forces) of the pharmaceutical industry in the two markets of concern, having more in depth review of the two potential segments in each individual market then head to head attractiveness comparative analysis of the two potential segments in the two potential countries showing the pros and cons for each of the potential available opportunities and finally reach a conclusion to solve this business scenario.
In order to satisfy both scientific research basis and business need I utilized Data from both peer reviewed articles, reports from highly trusted international institutions and organizations for their data accuracy and few theoretical books.
Limitation of this paper: taking in consideration that some relevant data i.e., regarding specific market profitability are not accessible due to either company’s confidential policies or data consolidation for example the financial statements of Bayer, the pharmaceutical company shows consolidated data combining Europe and middle east allowing no possibility(for outsider) to directly compare profitability of each specific country, here in our research Germany and Saudi Arabia, also I tried my best to use the most recent accessible data , but some of the most updated relevant data is out of my reach either due to confidentiality or it is paid data that requires funding resources not available in my case as I am doing this Thesis independently not in partnership with a company, these limitations might to some degree affect the precision of the final conclusion.
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.
After-sales services play a crucial role in companies’ profit. Their importance is expected to increase given the intensifying leveling of product competition and a shift toward a buyer’s market. Ticketing systems are increasingly integrated into these services because of their ability to bundle multiple support channels, enhance the support’s knowledge base, and cut costs.
This thesis aims to create a comparative overview of ticketing systems, which evaluates eight selected market alternatives and one tentative in-house solution according to their compliance with the requirements of the focus company. This comparison is made by exploring the literature concerning build-or-buy, software evaluation and selection, and analyzing several guided interviews.
The results seek to aid the company in deciding on a ticketing system that meets its requirements, as well as to act as a blueprint for other SMEs. The findings include two recommended alternatives in conjunction with further strategic and decision-making considerations. The study ends with an outlook for academia and businesses.
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.