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This study examines growth adventure of Turkey and South Korea that both tried to narrow the economical gap between them and developed countries. Although Turkey was in a better situation than South Korea in the beginning of their convergence experience, and they had similar growth and development levels at the end of 1950s, South Korea outperformed Turkey in almost every economic indicator and realized an economic miracle in a very short time. As South Korea is one of developed countries now and Turkey is still in the league of developing countries trying to be a developed one, South Korea model, is worth to be analyzed in detail. In this paper, the similarities and differences in South Korea’s and Turkey’s economic history, the comparison of their long term growth performance and the reasons why Turkey could not accomplish what South Korea did in the similar period of time, were put together in order to find answers to question of applicability of South Korean economic miracle to other economies, along with the question whether it was indeed a miracle. While comparing two countries, existing literature and similar studies were scanned. With the help of both qualitative and quantitative historical data, common issues of comparison, namely policies, international trade, education and innovation, were selected and these issues were analyzed deeper. In the last part of the study, a simple econometric model was built by using OLS regression, in order to see if the presented ideas could be supported with econometric approach. Although model did not provide enough information about reasons of growth in South Korean economy, the findings confirmed the problems of Turkish economy and success of South Korean economy. This study is a contribution to a broader understanding of comparison of two economies, which is an issue that attracts attention of several related people, especially in Turkey.
Cost Optimization is a persistent discipline to adjust expenses and reduce costs while maximizing business value, and it has proven to be one of the most influential strategies to generate profits and stay competitive in the market. In this study, technical and strategic solutions that can lead to manufacturing cost optimization were considered. For this purpose, a test environment was created according to the DFMA methodology using the DFMA Concurrent Costing V4.1 software developed by Boothroyd Dewhurst Inc. and the production expenses of a JED029M3 aluminum bushing product from WABCO Group were analyzed.
Results revealed that these charges can be assigned to five main cost drivers Material, Machine Setup, Process, Scrap and Tools, of which Tooling was the most influential driver at lower volumes, while Material and Process remained two of the considerably substantial drivers across all ranges of volumes produced. Furthermore, among the optimization alternatives, the right choice for machine and raw material shape demonstrated to have a relative effects of less than 5% in reduction of manufacturing cost for 1,000 pieces, while outsourcing to China and transitioning toward economies of scale lowered could impact the total costs by -40% and -70%, respectively.
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.
As COVID-19 forces school to shutdown, distance learning or homeschooling is increasingly becoming the preferred and safest mode of delivering education. The new trend however, raises underlying questions on the implication it will have on the educational gap and attainment between advantaged and disadvantaged students in Germany, stemming from the diverse economic, cultural and social situation among the student population. This study presents results of a comparative analysis between advantaged and disadvantaged students in Germany using the PISA data 2018. The study investigated, how large the educational gap in Germany between advantaged and disadvantaged students is and what influences this gap. More specifically, what effect COVID-19 induced school interruption has in increasing the educational at- tainment between the student population. The findings show that there is an educa- tional gap between advantaged and disadvantaged students in Germany and socio- economic and cultural factors influence student performance which aligns with the findings in the literature review. Furthermore, school closures of 51 days result to a loss of 3.26, 3.37 and, 4.12 PISA point for advantaged students in maths, science and reading respectively and a loss of 8.4, 8.1 and 5.01 PISA points in maths, sci- ence and reading for disadvantaged students. The results show an increase in the educational outcome and inequality between advantaged and disadvantaged students in Germany. The findings, necessitate the need for policy makers to neutralize the learning losses resulting from the COVID-19 induced remote learning.
This master´s thesis focuses on the development of a competitor analysis process as a proposal for the business unit “Power and Energy Solutions”. As a new business approach for the Marquardt Group in the fast-growing and trending electromobility market, it is essential to develop a process to optimize the identification and assessment of competitors in order to obtain relevant information needed to build competitive advantages and plan business strategy.
This study highlights the essential information to be collected on competitors as well as the importance and benefits of conducting an analysis. A proper competitive analysis consists of considering and understanding certain external aspects surrounding the competitor. The structure of the industry, the company's current position, the customers and suppliers are key factors that have to be considered in order to conduct a successful competitive analysis. In addition, this thesis shows the steps and the main elements to contemplate in order to successfully perform a process within the company.
A qualitative research methodology has been applied for this thesis, in which literature review has been conducted and expert opinions and experiences have been included. The information has been collected through primary and secondary sources, with the aim of understanding the current situation of the business unit and obtaining relevant literature on the topic from reliable and accurate sources. Moreover, action research has been carried out in order to link theory and practice to provide a solution.
This master's thesis offers a proposal for the competitor analysis process, outlining seven stages to be followed. They have been established as a result of the evaluation and integration of the literature review and the current situation of the business. In addition, a conceptual framework has been designed as a concentration and visual representation of the best practices and methods to provide structure and support each stage of the process.
The implementation and constant utilization of the process will allow the development of a standardized system that ensures effective analysis in the business context. Moreover, it will provide a comprehensive analysis of competitors and their surroundings, as well as improvements and transparency in collaboration and practices within the company. Consequently, it will ensure a positive impact on the business unit for decision making and building competitive advantages.
This research aims to study transactional cost and organizational change management in a pharmaceutical company that had gone through the SSC implementation process through different regions, including Latin America. Eli Lilly SSC in Latin America is located in Mexico and was aimed to centralize standard routines and administrative transactions related to finance and accounting back office services for the entire region. In implementing changes of this magnitude, it is necessary to be prepared to encounter the transaction costs related to this strategic decision and for the internal resistance applied in organizational change process. In this sense, this research aims to study what are the main challenges and transaction costs involving a process of re-structuring the organization to the SSC business model, especially in Latin America. Taking as a base the change resistance elements mentioned by Burns and Scapens (2000) and transaction costs theory basis by Williamson (1981). The SSC, a relatively recent business model and a trend between multinational organizations, was implemented in Lilly across 4 different regions to support over 70 countries in all continents. Latin America the last region to be implemented had a proposed migration schedule within less than one year. The findings show that the main resistance to the existing process is related to lack of competence/information and attachment to control and existing routines. In addition, the transaction costs are closely related to the dimensions of asset specificity and uncertainty. We must consider that the lack of a formal change management strategy, within the LATAM region, was a risky move and had impacted the implementation process and stabilization period results. The chronogram had also to be changed due to unexpected details in the region. Latin America was more complex than expected due to the differences in regulations and culture between countries, also expressed a non-verbal resistance that was probably expressed through the lack of commitment of some personnel. The results of this research raise inputs to the next researchers and bring elements to be considered by organizations when implementing the SSC business model. It is useful to direct actions and strategies to control de change impact and possible transaction costs. Additionally, through the research we filled the purpose to build an overview on shared services model and discuss the main points that should be considered when taking into consideration to re-structure the business with this model, characterized as a centralization of services that are provided from one single point to multiple business units in order to avoid activities duplication, optimizing resources through the integration of technology, people and standardized processes (Deliotte, 2007).
Pricing is one of the foundations of any company’s market strategy and the only factor of the marketing mix that deals with revenue generation. The other three viz. product, promotion and place deal with expenditure. Pricing strategies provide varied degrees of flexibility based on organizational capabilities and customer segments. Pricing decisions are fundamental to a firm’s growth and are complex in implementation. Based on the author’s research, value-based pricing provides the best fit for all the important pricing factors like cost structure, profit margin, competition, supply and demand, etc. Despite this, cost-based and competition-based pricing strategies are still being widely used. The IT service industry in India has long focused on the competitive advantages of cheap and abundant manpower but the lack of focus on product development together with the emergence of other low waged countries and the growing nature of technology adaptation in the country have presented significant motivation to these IT firms to invest in research and development aimed at enhancing their product portfolio, which can be best taken advantage of by moving their pricing decisions towards a customer-value centric approach. Basing their prices on the different customer segments and focusing on value generation is the best way forward in the face of increased competition from both domestic and international organizations.
Mergers and acquisitions (M&A) among internet companies increased rapidly during the last decade which was caused by the growing competition and changing consumer preferences. Many startup companies enter the market offering hit products and getting millions of users in a short period of time. Due to such quick success established internet players like Google, Twitter and Facebook tend to acquire these startups instead of developing their own R&D. Internet acquisitions are very risky and imply high premiums, therefore, their impact on the innovation performance is quite unclear in the short- and long-term perspective. There is a variety of factors that can affect the innovation performance of both acquiring and acquired companies after the M&A transaction. This thesis is aimed to analyse the impact of M&A on the innovation performance of internet companies taking into account recent acquisitions among social networking players. A case study about Facebook's acquisition of Instagram occurred in 2012 presents the main application for the thesis. Qualitative data for the research is taken from the articles that contain opinions of the industry experts which are then critically assessed using the main scientific concepts about M&A and innovation performance.
In this thesis, new methods for text classification are examined and compared to the current software of the DNB. Due to technical changes in the area machine learning in recent years, improvements in text classification have been achieved. The objective is to improve the subject groups allocation of the DNB and to allow a hierarchical classification based on the DDC system. The decision was made on the HDLTex tool, as the structure of the DNB data set and the DDC system, which supports a hierarchical classification, are perfectly designed for it. The use of RNN networks on both hierarchical levels improved the current software situation. Furthermore, the approach was examined, if a combination of the predictions of the two hierarchies levels leads to an additional improvement, which, however, produced a negative result. Both beginners and experts find themselves as readers of this master's thesis in the target group again.
In dieser Arbeit werden neue Verfahren zur Textklassifizierung untersucht und der aktuellen Software der DNB gegenübergestellt. Durch technische Veränderungen im Bereich Machine Learning in den letzten Jahren, konnten Verbesserungen in der Textklassifizierung erzielt werden. Dabei soll die Sachgruppenvergabe der DNB verbessert und anhand des DDC Systems eine hierarchische Klassifizierung ermöglicht werden. Die Entscheidung fiel auf das HDLTex Tool, da die Struktur des Datensatzes der DNB und das DDC System, welche eine hierarchische Klassifizierung unterstützt, perfekt darauf ausgelegt sind. Durch die Nutzung von RNN Netzen auf beiden Hierarchieebenen konnte eine Verbesserung zu der aktuellen Software erzielt werden. Weiterhin wurde der Ansatz untersucht, ob eine Kombinierung der Vorhersagen der beiden Hierarchieebenen zu einer aufbauenden Verbesserung führt, welches jedoch ein negatives Ergebnis hervorbrachte. Sowohl Anfänger als auch Experten finden sich als Leser dieser Masterarbeit in der Zielgruppe wieder.