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There is an increase in concern for the environmental impact such as GHGs emission and hazardous chemicals discharge along with the wastewater, from the product production process. Likewise the concern in the social impact also rises, in which it include the use of forced and child labor, unfair wages and inhumane treatment of worker in the production process of various industry.
Moreover, with the change in business strategies to fast fashion, in which new product collections are launch four times a year. In response, company have change the structure of their supply chain to shorten lead-time, higher inventory turnover, high order fulfilment and lower price for their customer. However, while focusing on these factors, environmental and ethical are being overlooked.
With the pressure from the public, laws mandate by the government, as well as the foreseen market opportunity make many of the large company to start thinking about a way to eliminate environmental and ethical impact from their supply chain. Various techniques and instruments are developed in order to help the company to analyze and abolish these problems.
Two companies are used as an empirical studies, which are H&M and Inditex. Though the analysis the challenges they faced and instruments and technique they used in response to the challenges, one can clearly observe the different approach in handling the challenges of these two companies. Nevertheless, positive improvement in eliminating environmental and social impact from their supply chain can clearly be seen from their effort.
The financial markets are currently facing uncertain circumstances, which is increasing their tail risk. A recent study was conducted to measure the tail connectedness between North America, Latin America, Europe, Asia, and Oceania. The study looked at 18 stock market indices using a neural network quantile regression approach from January 4, 2012, to May 5, 2022. The study found that the North American, European, and Latin American stock markets had the highest exposure to tail risk, while Asia and Oceania showed no significant risk compared to the rest of the world indices and were independent. The study also identified the Global Financial Crisis and the COVID-19 pandemic as intense events that yielded high tail risk. The Systematic Fragility Index ranked the pre-COVID period stock market and the Nasdaq during the COVID sample as the most susceptible markets. On the other hand, the Systematic Hazard Index identified the S&P as the chief risk contributor in the system.
As a leading medical technology company, KARL STORZ SE & Co. KG continuously wants to bring innovations and applications into the market and expand its existing product portfolio. As strategic initiatives, the company has set priorities and goals to ensure its sustained success. One of those strategic initiatives is to start developing new products in the field of robotic surgery and compete in this segment. To achieve these ambitions, the company decided to spin off its robotic solutions department and establish a new business called KARL STORZ VentureONE Pte. Ltd. With a smaller and more agile structure, the new venture seeks to implement new ways of working and promote innovation.
This new-born company is playing in a fast-growing market that one single competitor has traditionally dominated. However, robotic surgery still has much potential, and existing suppliers have not yet reached different market segments. One segment that has called the attention of the spin-off is the ambulatory surgery centers in the US.
These surgical institutions are growing and gaining relevance in the American surgery landscape. Hence, the company is particularly interested in developing a robotic solution for this segment. Before introducing a product, the company must understand the target customer intended to address. Management at the new venture is also convinced that new business models can be successfully implemented in this segment. Thus, this academic work aims to evaluate the ambulatory surgery center market in the US and propose a suitable business model for this target customer.
For this purpose, this thesis was divided into two main parts. The first aimed to conduct market research on the ambulatory surgery centers in the US by collecting secondary data from articles, reports, and governmental publications. The second part focused on proposing a business model for the ambulatory surgery center segment. To do so, primary data was obtained by interviewing experts in this market.
The research found that the ambulatory surgery centers segment is a growing market where robotic surgery has not yet been fully implemented due to its high cost and reduced reimbursement rates for outpatient procedures. Another barrier to robotic surgery in surgery centers is the high upfront investment needed to buy the technology. Based on these insights, different business models, such as leasing, renting, pay-per-use, and subscription, were assessed. A subscription model was selected and further developed by presenting the most advantages. Using the “Business Model Navigator” methodology, this work defined and documented the target customer, the value proposition, the value chain, and the profit mechanism.
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.
The aim of this research is to investigate the unique factors that affect the
adoption of green supply chain management (GSCM) practices in Greek
companies, with a specific focus on how they align with the overall business
strategy and performance. To achieve this objective, a "bottom-up" approach
is utilized, which involves conducting case studies to assess the status of
GSCM implementation in Greece. Additionally, the research seeks to identify
the key barriers that must be overcome for successful integration of GSCM in
Greek businesses.
A primary purpose of the study is to advance the field of Green Supply Chain
Management (GSCM) research by providing new and valuable insights on
the implementation of GSCM in a context that has received relatively minor
or even no attention in previous studies. The findings of this study have
practical implications for businesses operating in Greece and beyond, as
they offer recommendations, solutions and strategies for companies seeking
to implement GSCM practices. Eventually, this research aims to contribute to
the overall development and understanding of GSCM, as well as to promote
sustainable business practices in the region.
Keywords: Green supply chain management, Greece, business strategy,
implementation, barriers, case studies, bottom-up approach
Nowadays, big sport events such as Olympic Games are not only an exciting carnival for sports enthusiasts, but also a good opportunity for the host country/city to accelerate its economic development. After more than 40 years of development, Computable General Equilibrium has been proved to be a very powerful tool to analyze the impact of big sports events on host country/city. In this paper, 2008 Beijing Olympic Games will be used as the target case to study the impact on the economy. A Supply model and a demand model will be established according to CGE theory to describe the case. This paper is not focused on the detail but the whole picture of Beijing’s economy by analyzing the industrial structure changes under the influences of hosting the Olympic. Beijing’s industrial structure development will also be analyzed in this paper.
Through an extensive review of the literature, a research gap was identified concerning the knowledge around diversity and its impact on personality types and their influence on group performance. Previous literature revealed that diversity is a popular determinant for group composition, since it encompasses many different meanings and interpretations. Researchers would rather focus on easily measurable elements such as age or gender, but few studies have been conducted on deep-level diversity, such as personality traits or values. The aim of this study is to answer the research questions proposed concerning the effectiveness of homogeneous versus heterogeneous groups as well as the impact communication has on their performance. Through an analysis of previous studies and literature the research questions and hypotheses were formulated, and a methodology designed to answer them. The methodology used in this research was a variation of the Marshmallow Challenge. The groups were faced with two challenges. The first one was to build a 50cm-tall structure as quickly as possible, with a limited amount of material, including raw spaghetti, tape, rope and a marshmallow to test the stability of the structure. The second challenge was presented about one week later and involved the same materials, but the participants had to reach 70cm. Four teams of three were chosen. The personality tests had four possible outcomes: red, green, yellow, or blue. Each colour had specific characteristics and adjectives associated with it. The data collected revealed that the heterogeneous groups performed better overall. A slightly significant correlation was found between how well the teams performed and the words spoken per minute for the first experiment, but not for the second. The biggest limitation that hindered this study was the time pressure and limited sample size.
This research examines the impact of social media on consumer behavior, focusing on how consumer behavior and habits change after the use of social media by German and Chinese young consumers. A comparison of the differences between the two groups is also conducted. The study was conducted based on theoretical background and terminology, followed by six hypotheses. Then this research determined the scope, target population, and sample size before using focus groups and online questionnaires as survey methods. While analyzing the questionnaire data, the research tested the hypotheses and demonstrated the effects between the variables. The results indicated partial agreement with existing studies. Browsing time positively correlates with the purchase journey. The duration of online discounts negatively correlates with transaction speed. Young consumers' demand increases with the amount of time they spend browsing product advertisements. However, some findings ran counter to previous investigations. The impact of SMM on young consumers has no adverse effect on the time spent browsing products. Moreover, only in some cases, young consumers' purchase intentions are positively correlated with demand.
Keywords: Young consumers, Social media marketing, Consumer behavior, Purchase journey, Purchase intention, Online time-limited discounts, Demand
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.
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.
This thesis has the purpose to investigate the oil price as the global economic factor but also to examine its implications on the worldwide economy. Thereby the determinants of the oil price are investigated by tackling the oil price itself from three different perspectives – the supply and demand framework, the prevailing world oil market structure as well as from the perspective of already statistically proven oil price determinants. In addition, the arising macroeconomic implications of oil price fluctuations on oil-importing and oil-exporting countries are examined. The investigation based on a thought experiment demonstrates the supply and demand framework to be unable to fully explain all past price changes. The examination on the prevailing market structure identifies the world oil market to be best described as a supply, pure, closed, partial and collusive form of an oligopoly. Analyzing the competitive behavior of the world oil market on three levels identifies non-OPEC producers’ competition to behave in a Cournot manner whereas among OPEC producers Saudi Arabia is identified to be a Stackelberg-follower with certain conditions while at the same time permanently bearing the ambition to become the Stackelberg-leader. The identification on the best describing oligopoly model for the overall industry is inconclusive. Investigating OPEC’s cartel hypothesis does not fully exclude its collusive behavior but denies the OPEC to be described as a prime example of a cartel. The examination of already existing econometric analyses identified a total of 13 determinants to play a key role in the oil price definition process. Investigating the arising macroeconomic implications of oil price fluctuations show oil price changes to be of great importance for the overall economic performance and is best described as a form of a positive of negative vicious circle in which the interconnected second or even third round effects intensify the implications on the macroeconomic activity.
Abstract
In today's business world, it is evident how, thanks to digital transformation, new business models have emerged, especially in the retail industry. Changes in customer preferences have been one of the main reasons why the vast majority of companies within the retail industry have accelerated their digital transformation processes. Evidence has also been found that this change in consumer thinking is related to one of the side effects left by the Covid-19 pandemic, where digital channels gained more strength due to the limitations of physical contact between product providers and their customers. Therefore, changes in consumer thinking and the use of new digital platforms have brought new challenges for companies transforming their businesses from offline to online. The biggest challenges for those companies are not only related to implementing new business models such as online sales or so-called E-commerce platforms but also attributed to the creation of unique and invaluable experiences for the customer, allowing the companies to retain their consumers and create loyalty.
Creating an outstanding customer experience is not an easy task on these platforms since the reach of digital channels is almost infinite, which makes the new entrepreneurs in this industry rethink over and over again the best strategy to approach their customers so that they feel delighted in their customer journey. The present work seeks to provide a solution to the challenge evidenced in the E-commerce platforms, where the main objective is to recognize, through the customer journey, all the critical touchpoints and elements to add value to the shopping experience and to raise levels of customer satisfaction. With the help of tools that measure the levels of customer satisfaction and dissatisfaction, such as the Kano model, and through a recommendation system, the current paper provides com- panies that trade their products online with a detail of what services should be improved in the shopping experience to be highly attractive. In addition, a guide is provided where its application in each company will show in a quantitative way what the customer satis- faction levels are like. This work, through exhaustive research in academia, concludes that the factors that most stimulate customer satisfaction are those related to e-services quality and highlights the importance of “Personalized information”, “Online sales agent”, and “Website reviews and rating” services to add value to customers in one of the most competitive markets, such as E-commerce.
Traditional networking severely limits the dynamic requirements of newly emerging
use cases like the Internet of Things. For this reason, this thesis is fundamentally
concerned with the proposal of a software-defined networking approach for industrial
IoT networks. We revisit the core concepts, examine related work and subsequently
present an SDN-focused edge architecture for the KOSMoS research project. In this regard, we aim to improve network flexibility, scalability, maintainability and security.
Finally, the developed concept is implemented as an emulated proof of concept in order to assess its feasibility. For our prototype, we present an intent-driven approach that automatically compiles and deploys network configuration policies based on business goals submitted as description templates.
The covid-19 pandemic has significantly impacted economies all over the world, posing as a difficulty for companies all across the globe. The Micro, Small, and Medium Enterprises (MSMEs) in India were one of the most affected. These Enterprises make a substantial contribution to India's economic output.
Despite their significance, these enterprises had faced immense challenges during the pandemic, such as disrupted supply chains, financial needs, loss of customer interest, and administrative problems as well.
This paper, has the intention of studying the aftermath of the COVID-19 pandemic on the MSMEs of India and is focusing on the Volatility, Uncertainty, Complexities, and Ambiguity (VUCA) challenged encountered by them, the strategies that these businesses put into place to keep the organizations afloat, is also studied.
This paper includes a study spanning various fields, exploring the adaptive mechanisms, and strategies incorporated by MSMEs to manage and navigate through the turbulent business environment, sustaining operations and managing risks.
Furthermore, the thesis throws some light on the role of digital transformation in MSME resilience during the crisis, noting its effectiveness and potential barriers. The study aims to give insights and suggestions to better prepare MSMEs versatility against future disruptions, while also looking at government aid or help during the pandemic.
At last, this thesis adds to the understanding of challenges faced by MSMEs during the Covid-19 pandemic, while trying to offer valuable insights for the future.
This thesis examines causes and effects of El Salvador’s transition to official dollarization conducted in 2001. The document analyzes preliminary and final impacts in the real, financial, fiscal, and external sectors of the country, and it also provides an economic and social perspective on how these effects have caused little effect on Salvadoran society. Several authors remark official dollarization might have positive effects on countries with macroeconomic disorders such as high inflation rates and drastic exchange rate variations. After more than 20 years of adoption of the U.S. dollar, official dollarization does not appear to have affected positively life of Salvadoran citizens but rather has prevented governments from using monetary policy to apply irresponsible economic policies and has also helped to prevent high inflation rates. To take advantage of the benefits official dollarization can offer, it is highly recommendable for El Salvador to implement transformative social and economic investments and policies that boost human development and economic competitiveness.
In the Job Satisfaction- Performance literature largely, job satisfaction is portrayed and
discussed positively as a performance driver for organizations that embark on the journey
of progress. This research asks whether job satisfaction inevitably leads to negative
implementation outcomes and how. This research focuses on factors other than job
satisfaction that can be used to drive better performance of employees and how
satisfaction could also lead to negative outcomes. In an attempt to answer this question,
the research undertakes three key tasks. First, it contextualizes how job satisfaction has
minor affects on performance. Second, it outlines the factors that can increase
performance. Third, it discusses crisply the adverse affects on job satisfaction through
empirical evidence to provide focus and 'evidential grounding' for the research.
Essentially, the research contends that for institutions that are unable to manage and lead
productivity from employees, this research serves a powerful purpose ensuring the multi-dimensional approach to view employee performance and modelled to take account of
the people on whom it may impact as well as the overall value it may deliver.
In the contemporary business landscape characterized by global economic uncertainty and rapid technological advancements, companies face increasing complexity in meeting their innovation targets. To address this challenge, established firms are engaging in collaborative partnerships with external entities, particularly startups, to leverage their knowledge and capabilities to gain a competitive advantage. Despite the growing popularity of corporate-startup collaboration (CSC), there remains a noticeable gap in the literature regarding the analysis of the dynamics and key success factors that are relevant to enhancing the collaborative process between these asymmetric entities. This study aims to fill this research space by investigating the dynamics, motives, objectives, and challenges of CSC, with a specific focus on identifying the success factors crucial for achieving favorable outcomes. Drawing upon insights from eight expert managers using a mixed-method approach, the study highlights the significance of addressing internal barriers and prioritizing key success factors to ensure successful outcomes in CSC. The research methodology involves a literature review, a pre-stage questionnaire, and semi-structured interviews to gather comprehensive data. The researchers have synthesized the findings to enhance an existing Co-Canvas model in a way that it is specifically tailored for CSC, thereby offering managers a practical framework to effectively navigate the complexities of CSC. The findings of this research hold implications for scholars, corporate leaders, and entrepreneurs, enabling them to evaluate past collaboration initiatives, identify potential sources of errors, and devise strategies to enhance their collaboration performance. By shedding light on the dynamics and success factors of CSC, this study contributes to the existing body of knowledge and offers valuable insights for strategically enhancing collaboration performance. However, the study refrains from making broad generalizations of the model due to the small sample size of experts.