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University-Industry Collaboration (UIC) is considered by academics and industry as a vital factor that has the power to both positively and negatively impact the open innovation (OI). To contribute to the literature and to identify challenges as well as to conceptualize some recommendations to help industries, this thesis raised a question:
what are the challenges of UIC and what recommendations can be made to solve the challenges. The main research objective was to recognize the determinants of UIC challenges. An empirical study was conducted in order to give an answer to the research questions and to meet the research objective. This research explicitly focused on students/interns and internships to analyze and to discover the challenges and solutions since students or internships are the least researched area in the field of UIC research. Participants were personally contacted with the survey link that was created online to conduct explorative research with the help of close-ended (quantitative) and open-ended (qualitative) questions. The results reveal that there are numerous challenges students face during the internship and thus these most likely hinder the successful UIC and ultimately successful OI. According to the results obtained from both quantitative and qualitative sections obvious and major challenges lie in innovation mediators ‘organizational culture’. From the quantitative result perspective only, major challenges are in the area of absorptive capacity and supervisors' support, internalization, and trust. Similarly, from the qualitative results perspective only, major challenges are bad crisis management, communication, and hierarchical structure.
Germany has a long history in the car sector. However, today’s car industry is drastically changing, triggered by the accelerated rise of new technologies, sustainability policies and changing consumer preferences. The purpose of this research project is to forecast, by using the scenario planning software INKA 4, the future of cars in Germany in 2035. The research project focused mainly on cars based on internal combustion engines (ICE), fuel cell vehicles (FCV), battery electric vehicles (BEV) and Hybrid electric vehicles (HEV) and their charging infrastructure in Germany. Also, the future of autonomous driving vehicles, public transportation and carsharing in Germany were taken into consideration. Considering these factors following four areas of influence were chosen: Technology, Economics, Politics and Social. Within these areas of influence thirteen input factors (descriptors) were defined by research on current literature. The results show three distinct scenarios that reflect a possible shift towards electric mobility, autonomous driving, and an increase in the use of car sharing.
Key findings
The future of cars in Germany is affected by four areas of influence: Technology, Economics, Politics and Social. Among those four areas, a total of thirteen descriptors were selected as an input for the scenario building.
With the software INKA 4 five different scenarios were generated. Three distinctive scenarios were chosen and described to outline the future of cars in Germany in 2035.
It is highly probable that the future cars will be electrified and autonomous and that shared mobility will increase. The extent of the aforementioned change until 2035 depends highly on the German government and customer preferences.
Individual medicine gained increasing popularity in the medical industry in the past years. Especially oncology plays a major role in individual medicine, as significant research has been done in this area in the last decade. In order to provide individual treatment to patients, individualized medicine in cancer therapy uses molecular genetic examination of blood or tumor tissue.
This paper discusses individual treatment approaches for the selected diseases of prostate cancer and leukemia. Individual medicine in prostate cancer is still considered to be in its infancy whereas in leukemia it is already advanced. Conventional treatment in prostate cancer is highly standardized and well-developed and thus, individual approaches in PCa are not yet well-established or well-researched. Therefore, the relevance of individual treatments in prostate cancer is still to be discussed. In contrast to that leukemia has a promising future in the area of individualized medicine. However, individualized treatments are still very expensive and health insurances only cover a limited amount of financial expenses. As genetic testing is becoming more significant and is likely to be used more often in the future, the cost for individual treatments are expected to decrease over time. Also, this paper suggests future implications for the application of individual medicine in Germany in the areas of health care promotion, disease prevention and disease management until the year 2030.
Highlights of the paper:
• Individual medicine in leukemia is already well-established, however necessity of individual approaches in prostate cancer is discussed
• Individual medicine is currently very cost-intensive but increases the quality of life and the lifespan.
• In order to implement individual medicine in the future it is anticipated to improve health care promotion, disease prevention and disease management.
A special generative manufacturing (AM) process was developed for the partial integration of active ingredients into open-porous matrix structures. A mixture of a silver-containing solution as an antibacterial material with an alginate hydrogel as a carrier system was produced as the active ingredient. The AM process developed was used to introduce the active ingredient solution into an open-porous niobium containing a β-titanium matrix structure, thus creating a reproducible active ingredient delivery system. The matrix structure had already been produced in a separate AM process by means of selective laser melting (SLM). The main advantage of this process is the ability to control porosity with high precision. To determine optimal surface conditions for the integration of active ingredients into the matrix structure, different surface conditions of the titanium substrate were tested for their impact on wetting behaviour of a silver-containing hydrogel solution. The solution-substrate contact angle was measured and evaluated to determine the most favourable surface condition. To develop the generative manufacturing process, an FDM printer underwent modifications that permitted partial application of the drug solution to the structure in accordance with the bioprinting principle. The modified process enabled flexible control and programming of both the position and volume of the applied drug. Furthermore, the process was able to fill up to 95% of the titanium matrix body pore volume used. The customised application of drug carriers onto implants as a drug delivery system can be achieved via the developed process, providing an alternative to established methods like dip coating that lack this capability.
Prior research on choice in context demonstrated extremeness aversion to be very effective on consumers’ purchasing behaviour. However, it seems that previous studies have neglected to investigate the impact of the spatial arrangements of choice architectures on consumers purchasing behaviour. Based on indications of prior research, we pursued to demonstrate in this study that consumers who are uncertain regarding their
preferences tend to search for alternatives in the middle of a choice architecture. Therefore, we hypothesized that an alternative, positioned in the middle of a choice architecture, will present a relatively higher choice share. To research this hypothesis we conducted an online survey mainly in Central Europe, which involved a total number of
901 respondents at the age between 15 and 95. The study’s results demonstrate that the decision making of the majority of the participants is heavily influenced by a choice architecture’s spatial arrangement. It became evident that the choice share of one
alternative was higher when presented in the middle of a choice architecture than when presented in the periphery.
Due to continuous changes in consumer needs, new product development (NPD) and innovation are some of a company’s key factors of success and competitiveness. In order to be successful, companies have to understand consumer needs and ‘translate them into new products’1. If changing consumer perceptions and their requirements are not respected by a firm, a product’s sales will decrease as people no longer feel satisfied with the old product and require new functions. Therefore, a major task in business is being close to the customer. In order to collect ideas about product perceptions, institutions and departments within a company staying in direct contact with consumers can be essential. One department that represents a customer-oriented sector is sales, as their day-to-day business includes communication with customers.
However, failure rates of new product launches are still very high. According to a study of Serviceplan and Gfk where 265 newly launched products were analyzed, 70% of these failed and were no longer bought after only one year.2 A firm’s difficulties in generating ideas in the early stages of NPD have been ‘identified as major cause of notoriously high failure rates of new products’3. One possible reason is that information received by the sales department is not communicated clearly enough to Research & Development (R&D), which is in charge of developing new products. For this reason consumer needs are often not adequately integrated into the process of new product development and relevant information concerning their requirements can get lost.
The question as to how the customer-oriented sales department can be better involved into the process of new product development in order to ensure the success of new product introductions will be discussed in the following.
Assessing the impact of a structural prior mask on EIT images with different thorax excursion models
(2023)
Acid Sphingomyelinase Promotes Endothelial Stress Response in Systemic Inflammation and Sepsis
(2016)
Age-related changes in trunk muscle activity and spinal and lower limb kinematics during gait
(2018)
Introduction: Since the first revolution of robotic-assisted surgery officially happened in 2000, the healthcare service worldwide has transformed into a new era due to its superior technological advancements, particularly in laparoscopic surgery. Da Vinci which is seen as a master-slave system and Kymerax which is categorized as a hand-held device are commonly used in robotic-assisted laparoscopic surgery. Whilst a conventional or open method requires a large incision to perform a surgery, laparoscopy - a minimally invasive surgery (MIS) is an advantageous surgical method which reduces an abdominal incision to a minimum, and effectively exploited with robots.
Methods: Based on available articles with the object of robotic surgical surgery, two SWOT analysis for Da Vinci and Kymerax were formulated to understand strengths, weaknesses, opportunities and threats of each system in comparison with the traditional laparoscopic surgery. From that, the future outlook is anticipated based on the scientific background.
Results: Alongside technological advantages of Da Vinci mainly known as 6-degree of freedom, dexterity enhancement, stereovision, tremor filtering and especially minimal invasive surgery, it still has disadvantages that are not neglectable such as huge investment and lack of haptic feedback. Although the malfunction rate of Da Vinci is not significantly high, surgeons should be aware of it to fix or alter instruments in time. Kymerax is not as advanced as Da Vinci but it can fill in the gap of the Da Vinci which includes thelarge investment and bulky instruments. The Kymerax is the low-cost hand-held device allowing multiple degrees of freedom. It is an optimal combination between traditional performance and robotic performance allowing surgeons to manipulate in their hands and ensure haptic feedback.
Conclusions: Both Da Vinci and Kymerax systems offer superior benefits for medical service due to the ongoing technological growth. The cost-effectiveness of Da Vinci system is currently a problematic issue when medical institutions consider to install them. The surgical instruments market, however, has become highly competitive which is likely leading to the decline of the costly investments. In the digital world nowadays, it will be a promising future for more integrated medical inventions.
Trends and Advances in the Characterization of Gas Sensing Materials Based on Semiconducting Oxides
(2018)
Hydroxyethylamide substituted triterpenoic acids hold good cytotoxicity for human tumor cells
(2022)
Assessment of Neck Muscle Shear Modulus Normalization in Women with and without Chronic Neck Pain
(2022)
Optogenetics and optogenetic systems cover a wide range of applications in the research of neurological pathways. In this overview, relevant aspects regarding the development of optogenetic systems should be shown. These are the optogenetic systems – opsins and optical switches – as well as optoprobes, materials, application areas and limitations of these applications. Additionally, a short outlook should be given. No detailed analysis for specific optogenetic systems or their partial aspects were carried out.
This thesis talks about the relation between investor sentiment, stock return and trading volume in the German stock market. Six Granger causality tests were performed in order to determine, whether one of the above mentioned factors is indicative of the others. The results imply that investor sentiment is indicative of both, stock return and trading volume in the specified time period. However, there is no further significant evidence for other relations among the variables. The results are mostly in line with the literature available on this topic and back up the importance of the concept of investor sentiment as investor sentiment delivers an attempt to explain why investors behave irrationally on the stock market. Hence, the factors influencing investor sentiment should be subject to further research in order to gain a broader understanding of the topic.
This chapter explains from scratch, how to build physical simulations using Physolator. The chapter starts with a simple physical system. We will learn how to build a physical model using physical variables and formulae, how to translate these variables and formulae into Java code, how to load the program code to Physolator, how to start the simulation and how to add a graphics component to the physical system.
Football is unambiguously the national sport in Germany. No other sport attracts more people and has the power to connect more people of different ages, nationality or status. In football everyone is equal at least for 90 minutes. Having one favourite football club means having an emotional connection to it with celebrating the wins and suffering when the team loses. The German Bundesliga in particular is a magnet for fans coming into the stadium.
This paper proposes to consider the influence of transparency in leadership styles on work performance and satisfaction. In an experimental setting, a pair of strangers were advised to solve a Sudoku in a digital environment under time pressure. With an induced hierarchy, the leader was able to view the task and the timer, whereas only the subordinate was enabled to actively edit the riddle. The treatment group was told to transparently communicate the intended leadership style during the preparation phase. The results indicate that transparency has a significant positive effect on the performance and the satisfaction of the teams. Furthermore, it is hypothesized that transparency may not be the direct cause of improved performance and satisfaction. Yet it might be crucial in establishing trust between the leader and subordinate, causing a positive effect on the two dependent variables. The paper is concluded by discussing limitations, practical implications and considerations for future research.
Social Innovations in the extended Lake Constance area – an overview of the current activities
(2018)
In recent years the importance of social innovation for societies is rising. Therefore, the European Union realized, that political goals can be successfully achieved through social innovations.1 The concept is offering solutions for social challenges broadly based and in a variety of different fields Thus, the focus of this paper will be to identify social innovation activities in the Lake Constance area and the problems which are being solved through those activities. It will therefore provide a quantitative analysis of the identified projects including the main idea of the activity as well as information about the innovators. The key outcomes of this paper are, that social innovators are mainly focusing on current political challenges such as the refugee crisis. Problems which the society is already facing for a longer period of time, are less focused. It could further be identified, that the majority of social innovators are students or graduates. Also, most of the activities have their origin in bigger cities such as Stuttgart, Karlsruhe or Heidelberg.
Organized, competitive computer gaming, also referred to as eSports, are emerging sports within the sports entertainment industry. The industry generated almost 700 million U.S. Dollar in revenue and leading eSport titles attract millions of viewers to their events. This study aims to explore eSport live broadcasts of four leading titles and their appeal to be used as a communication media for marketers. It adopted secondary data from academic and scientific studies, journals and books from the fields of eSports, business and sports management to examine commercials, product placements, sponsorships and celebrity endorsements in regards of their applicability and effectiveness within eSports. Quantitative research in form of a survey among eSports viewership was carried out to gather data on viewership consumption patterns and perceptions towards said communication instruments and their effectiveness.
Findings suggest that the effectiveness of commercials rely on the timing shown during broadcasts. Product placements can be applied in many ways and show high effectiveness in terms of brand recognition in any form. Celebrity endorsements are highly ambiguous in terms of their applicability and effectiveness.
Collecting real-world data for the training of neural networks is enormously time-consuming and expensive. As such, the concept of virtualizing the domain and creating synthetic data has been analyzed in many instances. This virtualization offers many possibilities of changing the domain, and with that, enabling the relatively fast creation of data. It also offers the chance to enhance necessary augmentations with additional semantic information when compared with conventional augmentation methods. This raises the question of whether such semantic changes, which can be seen as augmentations of the virtual domain, contribute to better results for neural networks, when trained with data augmented this way. In this paper, a virtual dataset is presented, including semantic augmentations and automatically generated annotations, as well as a comparison between semantic and conventional augmentation for image data. It is determined that the results differ only marginally for neural network models trained with the two augmentation approaches.