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Platforms are increasingly playing a more critical role in companies’ activities. The intense competition in the market and the global economic situation have promoted the transformation of traditional business models, making enterprises adopt digital transformation solutions (Ot, 2022).
Nowadays, there is an increasing amount of data generated on the internet and mobile apps, which have allowed the exponential growth of platforms, allowing value cocreation and enabling an ecosystem composition that has transformed the linear value chain into a platform business model (Şimşek, Öner, Kunday, & Olcayc, 2022).
The healthcare industry has experienced significant changes in recent years, driven by technological advances, increasing focus on cost-effectiveness and quality of healthcare services.
The use of technology and digital platforms to offer care and enhance patient experience is one of the main areas on which healthcare organizations focus. There is a high potential for telemedicine and remote patient monitoring to revolutionize healthcare services (Sjöström, Lars, & Eva, 2017).
The creation of integrated care models, which combine various health providers to give patients a better treatment and service, is another important topic of interest for healthcare organizations. Integrated care models can enhance patient outcomes, save healthcare costs, and boost patient satisfaction. Integrated healthcare models can also help in reducing healthcare system division and enhancing the coordination of care services for patients (Kodner & Spreeuwenberg, 2002).
Other digital initiatives such as data analytics and artificial intelligence are also emerging as a promising approach to improve healthcare services' quality and support decision-making in healthcare. These technologies can provide more accurate and timely information to healthcare providers and enable more effective and efficient care delivery. Medical service transformation is a cross-departmental and cross-level collaboration that demands the participation of the government, firms, consumers, and other participants (Hughes, Shaw, & Greenhalgh, 2020). The Healthcare system has shifted its service from supply management to value cocreation, rebuilding the social framework through technological change. This new business model approach gives openings to different members to cocreate and add value to current products and services (Leone, Schiavone, Appio, & Chiao, 2021).
Despite the benefits of introducing digitalization and a multi-level business model to the healthcare system, its application has needed to be faster because of multiple factors, such as information integration and the application of connectivity technologies and the telematic infrastructure. Additionally, the healthcare system represents a complex structure regulated by the government and dynamized by the interaction of individuals and service providers. Therefore, some other challenges represent the governmental laws and regulations, patient information privacy concerns, and stakeholders’ willingness to adopt the business model. (Viswanadham, 2021).
Therefore, this study aims to research the Status Quo of the Health Care Industry and to explore the opportunities and challenges of platform business models in the healthcare industry.
The results of this study can provide insights into the critical success factors that can help to drive the adoption and implementation of multilevel business models. It also can inform the decision-making strategies and healthcare initiatives adopted by different countries due to digitalization.
Market entry strategy for German mittelstand medical device
companies into the Indian market.
(2015)
German medical devices companies are at the forefront of technology when it comes to innovation and R&D. Most of the European medical device manufacturing companies are located in Germany and the number of patents filed by these companies shows the amount of innovation in the industry. A majority of these medical devices are exported within the European Union countries. Economic slowdown combined with market saturation and increased competition makes Europe a very competitive market for these companies. Indian on the other hand is one of the fasted growing economies in the world. The Indian medical device sector is relatively an untapped markets for innovative medical devices. There are tremendous market opportunities due to the fact that local manufacturing base for medical devices are underdeveloped
and often neglected. Most of the local Indian manufactures are engaged in producing basic medical devices and mostly into medical disposables and supplies. Around 70% of the medical devise sold in India are imported products. There is a huge demand and supply gap that is not being filled by the local manufacturers. India offers the perfect new market opportunity for German medical companies looking to venture into emerging new markets. There is abundant supplied of skilled manpower, with wages lower than that of the neighbouring China. India also has a rapidly growing middle class with increasing purchasing power. However, the regulations in the Indian medical device industry are not very clear and transparent. The Indian bureaucratic system is rampant with corruption and red tapes that needs to be tackled and navigated skilfully. A Germany company looking to enter the Indian market needs to understand that nothing in India can be implemented by a text book style entry strategy. In this thesis, we will analyse few of the most suitable entry strategies for German medical device companies with the advantages and disadvantages of each entry mode. We will also analyse the process of doing business in India, which requires an understanding of various aspect of the Indian culture and business relationship building in India. Further, we will analyse the current market scenario with a brief analyse of the local manufacturers currently in the market along with some information on foreign players in the market. Will also interview 5 experts from the medical field and look into few real case studies.
The sector of supply chain risk management has been expanding for several years now, with the goal to not only prepare organizations to recover after supply-chain disruptions but also mitigate risks to reduce losses.
One of the most remarkable techniques in the field is the Artificial Intelligence technology, which owing to its effectiveness and efficiency, allows humans to develop new solutions to predict or prevent a great variety of supply-chain disruptions.
This paper aims to forecast the future state of the Artificial Intelligence technology in Europe by 2035 with the use of the INKA 4 scenario manager software. A total of four areas of influence –– i.e., technological, financial, legal, and social –– were identified.
From those, 11 descriptors were created based on relevant scientific literature and were inserted in the INKA software to develop the scenarios. This process resulted in three clearly differentiated scenarios that exhibit high probabilities and positive outlook for the Artificial Intelligence technology to be widely integrated in supply chain risk management systems in Europe by 2035.
Small and Medium Enterprises (SMEs) have become a driver motor of economies. Moreover, in developed countries, the manufacturing SMEs play an important role in the value creation and employment generation.O'regan et al. (2006) presents that constant innovation is a key component to maintain a sustainable competitive advantage. Raymond et al. (2010) claims that particular manufacturing SMEs should continuously improve their manufacturing processes in order to ensure long term sustainability. However, given the lack of resources and experience, SMEs find it difficult converting research and development into effective innovation (O’regan et al., 2006). Researchers have explained why certain firms innovate more than others by identifying a number of critical success factors or drivers of innovation such as strategy, social capital (Balachandra and Friar, 1997) or R&D (Becheikh et al., 2006a, Raymond et al.2010). The literature on the topic is diverse, there are different approaches and there is not a consensus on how those success factors can be measured. Therefore, the present thesis develops a meta-analysis study of the empirical research on the drives of innovation in manufacturing SMEs of developed countries. The result is a consolidated framework of the success factors and its measurements proposed by 49 authors, those were organized in the different phases of a holistic innovation process. The process considered was presented by Tidd and Bessant (2005). In consequence, the contribution of the present thesis is to serve as a starting point for future studies on drivers of innovation and its measurements, also, to serve as reference for future researchers that will develop a meta-analysis study.
Purpose: This study investigates the role that entrepreneurial talents play, and the influence of such
talents in firms’ success and raising funds through crowd-funding platforms as well. It discusses and analyses which talents are needed by entrepreneurs in order to place them in the best position to attract funds from these platforms. Further, the study attempts to create a bridge between entrepreneurial talent and crowdfunding, hence acting as one of the contributors towards the entrepreneur’s business success. Design/Approach/Methodology: This topic is a novel idea and it aims at examining whether or not entrepreneurial talents, as influencing factors should be taken into account when raising funds from crowdfunding platforms. This paper includes two main parts: theoretical and practical. In the final part, this paper provides lessons learnt. Originality/Value: This thesis will add value to research in the field of crowdfunding and its operation especially when entrepreneur funding is considered. Additionally, the hypothesis that forms the basis of this thesis, advocates for a new mode of sourcing for funds from crowdfunding platforms. This new approach is premised on the idea that the entrepreneurial talent can be a significant influencing factor for successfully raising funds from crowdfunding platforms. The analysis of the case studies will reveal an appropriate pattern of the talents needed and associating factors that will help entrepreneurs become successful in obtaining funds for their business
ventures, when they elect to use crowdfunding as their financing method. Practical implications: There are four practical implications to this paper. The first, is that entrepreneurs who intend to seize the huge opportunities offered by the crowdfunding platforms should place emphasis on convincing the participants in the platforms of their talents rather than placing too much focus on perfect business plan. Secondly, the platform participants should deviate from the traditional approach of WHAT to invest in, to a new approach of WHOM/WHO to invest in. Thirdly, from the perspective of the relatively new crowdfunding industry, this paper proposes for the creation of talent-based crowdfunding platforms as opposed to the project-based ones that are currently operating. Finally, the paper encourages the academic researcher to pursue ideas and new applications in the crowdfunding industry.
The study seeks for empirical evidence supporting the presence of weak form ans semi-strong form efficiency on the Vietnamese stock market. The sample includes the daily closing value of VN-index from 9th April 2009 to 3rd of December 2014. The results from both parametric and non-parametric tests provide the evidence, which implies the weak form efficiency in the Vietnamese stock market during the recent period from 4th June 2012 to 3rd December 2014. This period is used for testing the semi-strong form efficiency on the Vietnamese stock market. The results from event study do not support the semi-strong form efficiency in the Vietnamese stock market. The empirical evidence shows a delayed reaction of nine pharmaceutical companies' stock prices toward the earnings, dividend, insider trading and regulatory announcements. The findings in this paper are crucial for investors, analysts, academicians, regulators and the development of the Vietnamese stock market.
Development of a strategic control concept to monitor and steer strategy executive in the STO Group
(2016)
Latin America has become a potential market in the lately years. Brazil has a potential market, being the fifth largest country in terms of population; moreover, the Brazilian economy has grown over the past years with the increasing middle class consumers. Mexico, on the other hand, with its strategic position and as a bridge for the whole American continent and having the most free trade agreements in the world is definitively an attractive investment destination. The main objective of this research is to study what type of entry modes should German companies in the high- tech industry and automotive industry use in Latin American market. As part of the research there has been a study of the internationalization theories, the entry modes and the factors that might affect the entry mode. Besides, the author has approached which characteristics do the Latin American market has and which opportunities may German Small and Medium-Sized Enterprises benefit from. Furthermore, this research incorporates some case analysis from German companies who already entered into this region, as a result there would be a analysis in order to see which patterns those companies have followed.
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.