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As the service industry continues to grow in all aspects it is becoming clearer that as consumers have more options companies have to find different ways to distinguish themselves from their competition. One of the ways to do this is pricing, although some firms are still using old forms of pricing most are now gravitating towards newer more unconventional methods.
The purpose of this research was to analyze different pricing strategies and how they affect consumer purchasing behavior. The study looked at new forms of pricing such as Pay what you want, more conventional pricing in the service industry which was Dynamic pricing and a controversial form of pricing which was partitioned pricing.
This thesis contains 6 chapters. The first chapter will be an introduction and literature review, Chapter 2, 3 and 4 will represent the different pricing mechanisms respectively Chapter 5 will compare and summarize the pricing strategies and Chapter 6 will provide the conclusion and limitations
This Thesis comes to the conclusion that different pricing strategies invoke different behavioral characteristics in consumers. Pricing strategies can either affect consumer behavior negatively or positively. Pay what you want pricing influences consumer behavior the most in a positive way whilst Partitioned pricing will cause increase consumers’ willingness to purchase a service. Traditional methods such as dynamic pricing affect consumer behavior to a lesser degree. In comparison with the other forms of pricing does not affect consumer behavior positively.
Industry 4.0, a term coined at Hannover Messe in Germany in 2011, is believed to be the next disruptive force, driving human progress and innovation. The advent of technologies, such as the Internet of Things, Cloud Computing, Big Data, and new Mobile Technologies, fuel this disruption. To enable Industry 4.0, mankind is dependent on technological infrastructure, provided by companies, operating in the semiconductor industry. Over the last years, these companies have increased their profits and their stocks are currently trading near all-time highs. Yet, uncertainty created by the disruption of Industry 4.0, the growing influence of China on the semiconductor market, economic insecurities created by political uncertainties, like the 2020 US Presidential election, and the risk and implications of a second global wave of the COVID-19 pandemic, make the equity valuation of leading and established companies in the semiconductor industry exceptionally challenging. This paper examines, how different equity valuation methods compare under said circumstances and shows sophisticated valuation methods must be used to limit valuation error. Further, this paper gives an estimation of the possible ranges of value and suggests the industry may currently be overvalued.
New product development is essential for a company to grow and sustain itself. Usability testing is a crucial part of the new product development process, and it helps reduce product uncertainty and market failure. There are many methods available and they vary depending on the product development phase. This thesis focuses on methods used in the deployment phase, which is the final stage before mass production. The methods used differ subjecting to different customers.
A number of studies have suggested that marketing and sales should vary when the nature of customer differs. However, only a few studies focus on how the nature of customer influences new product testing. This research compares the involvement of B2B and B2C customers during the product innovation testing phase.
The comparison has been subcategorised into four smaller hypotheses. First, the methodologies used, such as virtual prototype testing, field testing, lab usability testing, and more, are discussed whether companies use them differently according to customers' nature. Second, the process of identifying and recruiting testers is examined. Third, testers' qualification is analysed, whether participants are ordinary users or professionals or companies prefer a mixture of both. Last, the sample size, which is simply the amount of testers who participated in the usability test.
A concept for modelling linear lung compliances using a mechanical artificially ventilated simulator
(2013)
Purpose – The purpose of this paper is to examine leadership trends in France and Germany. It is examined whether leadership in both France and Germany is going to become participative in the near future due to increasing internationalization and due to the emergence of a new leadership generation in France and Germany with different expectations and behaviors, namely
Millennials.
Design/methodology/approach – This thesis comprises three major parts: First, leadership career paths in France and Germany are compared. Second, French and German management cultures are compared and their likelihood of convergence examined. Third, a closer look is taken at inter- as well as intra-generational differences with particular focus on Generation Y/ Millennials – the new leadership generation. Their differences and similarities in comparison with older generations as well as across national cultures are presented and discussed.
Findings – The analysis shows that outstanding leadership in both France and Germany seems to be participative. Further, French and German Millennials tend to be more open towards participative leadership than older generations. Nevertheless, participative leadership is more likely to be practiced in Germany than in France. French top managers still share very distinct national career path patterns, providing an elitist reputation and certain privileges. This often leads to rather non-participative, but authoritarian command-and-control based leadership
practices in France.
Research limitations/implications – Limitations of this thesis include the enormous scope of the topic - not everything could be covered in depth. Further, the up-to-date nature of the data used must be questioned - the incredible speed of change in today’s business world makes even recent research studies outdated within a short period of time.
Originality/value – French and German top management career paths as well as French and German management practices have been examined individually as well as comparatively in countless studies. However, different than probably any research study so far, this thesis also
includes inter- generational as well as intra-generational differences and similarities in France and Germany in order to reveal future trends. All in all, this thesis provides a broad outline of leadership trends in France and Germany and points out where further research must be carried out in more depth.
The impact of store atmosphere elements on the purchase behaviour and emotions of customers has an important significance in modern marketing. How to design and conceptualize a store atmosphere in such a way that it provides an unforgettable experience for the customer and entices him or her to arouse an interest in the store environment is one of the most fundamental concerns merchants and marketers must ask and think through these days – likewise, the role of culture in connection with store atmosphere is necessary to understand. The goal of this paper is to answer the question on how behavioural and emotional responses to store atmospheric elements such as visual, aural, olfactory, tactile, social, exterior design, interior design and layout & design differ across individualist and collectivist cultures. A cross-cultural analysis between Germans and non-Germans is made in respect to the posed question. A quantitative online survey was conducted, in which a total of 99 valid participants took part, of which 57 were Germans and 42 were non-Germans. This research extended the study of Barros et al. (2019) and added two more separate store atmospheric elements which are the general exterior design and the general interior design. The data was then analyzed, and the findings were ultimately presented. The findings showed that overall store atmosphere elements have similar emotional and behavioural effects on individualist and collectivist cultures with the exception of the general exterior design element, where a significant difference was found. This paper gives a comprehensive overview on the importance of store atmospheric elements in retail and the comparison between Germany which acts as a country that scored relatively high on the Individualism dimension of Hofstede’s national culture model and the countries Turkey, Russia, Portugal, Albania, Bosnia, Romania, Kazakhstan, Vietnam, Sri Lanka and Iraq which serve as a union of cultures that performed high on the Collectivism dimension. Additional research on the topic needs to be done on how culture affects shopper’s emotional and behavioural responses.
This thesis examines the culture concerning the Celebrity-Endorsed Advertisements in Luxury Brands. Culture and its value have an impact on the effectiveness of the advertisement. Culture can also impact celebrity endorsement as a celebrity can be seen differently according to the cultural pattern. Luxury is also seen differently according to the cultural values, and brand can have an impact on the value of the luxury. Since the advertisement is a very crucial tool for marketing strategies, commercials should be made according to the values of the culture to increase its effectiveness. Culture is a group phenomenon, and it influences the behavior of an individual which impacts the brand and product. Culture creates a lifestyle and new markets; it also allows market adaptation according to the local taste. Culture helps us to understand the changing attitude of the market towards a product or service. Culture plays a role in the perception of the product and advertisement as people from a different country will perceive and interpret things differently according to their culture and experience.
This thesis addresses various diverse questions related to the culture regarding celebrity-endorsed advertisements in luxury brands. The foremost question which addressed is; the culture impact on the customer's perception of the brand image for celebrity-endorsed advertisements as to luxury brands. This thesis is based on the Qualitative research method, including descriptive case study-based research with observations, following an inductive approach to generate a theory, model, and explanation by analyzing the data to finding patterns. This thesis follows the research task based on theory and applying research models to new situations, explaining phenomena, and analyzing the relationships. The information and data for the research are taken from the online & social media platforms YouTube, Facebook, Instagram, and Twitter are used for TV commercials. The data is analyzed through observation by checking the advertisement like and dislike on the online platform. How often they are comment and what kinds of statements are used for an advertisement. Afterwards, the data is analyzed according to the culture models. The findings of this thesis answer and highlight the challenges along with the research questions. The study helps us to understand what culture is and how to target the market more effectively. It explains the importance of the brand and the value of the luxury associated with it. This thesis helps us to understand the impact of the celebrity in the advertainments and how to use them effectively. It also helps us to understand consumer behavior and the perception of the product value. This thesis highlights the fact that what can be seen offensive in the advertisement by a different culture and its impacts on the brand image.
A deep learning spatial-temporal framework for detecting surgical tools in laparoscopic videos
(2021)
Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
Today’s workplace is composed of three different generations, which are considered to be substantially different from each other. Popular press and academics defend that neglecting to address these differences can generate negative organizational outcomes. Therefore, there is a growing body of research recommending generational specific practices to minimize the effects of generational differences in organizations. Nevertheless, not every practice tends to be based on empirical evidence on generational differences, which raises doubts about its effectiveness. The goal of this paper is to propose reverse mentoring as a practice to help organizations understand and manage generational differences better. To achieve this goal, a summary of published secondary data on empirical evidence of generational differences in the workplace was gathered, and the findings were linked to the function/outcomes of reverse mentoring, which allowed for the practice to be recommended based on substantial empirical evidence. Moreover, primary qualitative research was gathered through interviews to support the findings. Despite the limitations encountered, reverse mentoring is proved to be a long-term beneficial tool to understand and manage generational differences in the workplace.
A Descriptive Study on Customer Attitudes towards Green Branding in the Fashion Industry in Germany
(2021)
This paper attempts to provide an up-to-date representation and analysis of customers' attitudes towards green branding in the fashion industry and their willingness to pay (WTP) for sustainable and ethical clothing in Germany. Related literature strands are reviewed to understand how the fashion industry works, what green branding means, and how customer attitudes are shaped. After creating an attitude measurement model, an online questionnaire was designed and sent to Furtwangen University students, with 153 valid responses returned. The descriptive analysis sheds light on the three attitudinal components related to sustainability and ethics in the fashion industry. It is noted that customers do not hold a definite attitude. However, a tendency towards the positive end is ascertained. Significant gaps still exist in terms of knowledge and awareness of some commitment by fashion brands. Another huge factor influencing attitudes appears to be a lack of trust. The behavioral component showed that customers are trying to contribute through proper disposal and are willing to buy sustainable and ethical clothing more often. However, there is still some room for improvement in terms of customer education. Nevertheless, it is found that they are willing to accept an additional contribution for sustainable and ethical clothing. In general, it can be concluded that there is a foundation to improve the fashion industry towards more sustainability. However, all stakeholders, i.e., customers and fashion brands, as well as the government, need to work together to change the industry in the long run.
A Development Environment for the Rapid Design of Operator Training Simulators for Biotechnology
(2005)
A Fog-Cloud Computing Infrastructure for Condition Monitoring and Distributing Industry 4.0 Services
(2019)
A glimpse under the rim – the composition of microbial biofilm communities in domestic toilets
(2010)
This thesis explores the emerging phenomenon of second screen marketing, by providing a holistic view on this topic. The first part presents an extensive literature review, approaching second screen marketing from an advertiser’s view. Second screening and user groups are defined and common second screen measures are presented and evaluated.
The second part examines the consumer’s perception of a brand using second screen marketing, comparing two age groups (18 to 30 years and 50 to 62 years). Brand perception is measured following suggestions from Low and Lamb Jr. (2000), using a three-dimensional construct consisting of brand attitude, brand image and perceived quality. Main findings entail, that younger audiences perceive a brand using second screen marketing significantly more positive than the older generation. While perceived quality for both age groups is evaluated neutrally, brand image and brand attitude scores show more extreme values. This is relevant for advertisers, as indications about potential target groups, content creation and success of marketing campaigns can be derived: Especially younger consumers are potential target groups and perceive second screen marketing as modern and innovative, but dishonest. Concerning content, strong implications about quality, an uniform brand image and the communication of trustworthiness should be a focus to marketers.
A Long Swim for Science
(2017)
This thesis is based upon an interest in the field of neuromarketing and a desire to depict which is the most advisable strategy to implement in a situation, where there is a potential introduction of a methodology coming from that field in a new / foreign market. Special emphasis is put on the market entry strategy (modes of entry and marketing strategy).
At the beginning of the thesis, there is a brief inspection of the neuromarketing field according to the nowadays situation that lead to the creation of a methodology, which is called neuromerchandising®. This methodology is the competitive advantage of a German consultant company called neuromerchandisinggroup GmbH&Co.KG. With this patented methodology, this consultant company provides strategic solutions to numerous companies mainly in the field of retail.
The main purpose of the thesis is to define which are the decisions to be made while introducing this methodology to a foreign country and in particular to Greece, in order to improve the Greek retail situation.
This thesis provides an analysis of the tools necessary to speculate whether Greece is the appropriate country to introduce this methodology. After this analysis, the thesis provides solutions of the potential market entry strategy putting emphasis on the marketing strategy of introducing this methodology.
Internal documentation of this company, market reports and analyses are used to provide a professional framework of the dynamic capabilities in the venture of introducing this methodology to Greece.
Despite the unabated growth of algorithmic decision-making in organizations, there is a growing consensus that numerous situations will continue to require humans in the loop. However, the blending of a formal machine and bounded human rationality also amplifies the risk of what is known as local rationality. Therefore, it is crucial, especially in a data-abundant environment that characterizes algorithmic decision-making, to devise means to assess performance holistically. In this paper, we propose a simulation-based model to address the current lack of research on quantifying algorithmic interventions in a broader organizational context. Our approach allows the combining of causal modeling and data science algorithms to represent decision settings involving a mix of machine and human rationality to measure performance. As a testbed, we consider the case of a fictitious company trying to improve its forecasting process with the help of a machine learning approach. The example demonstrates that a myopic assessment obscures problems that only a broader framing reveals. It highlights the value of a systems view since the effects of the interplay between human and algorithmic decisions can be largely unintuitive. Such a simulation-based approach can be an effective tool in efforts to delineate roles for humans and algorithms in hybrid contexts.
This paper examines the effect of ownership on strategic reasoning in the classical p-beauty contest game. While much literature focused on cognitive ability as the foundation for higher-order strategic play, we investigate whether a more motivational perspective can serve as a foundation for strategic reasoning as well. This is to be induced via the endowment effect by combining two market simulations with a p-beauty contest game in three experimental sessions. We conclude that while an endowment effect does not have a significant influence on first-round behavior, there are indications that it can influence the learning of endowed players as early as round two of a repeated p-beauty contest game. We find that possible differences in the degree of commitment substantially affect strategic behavior. The analyses ultimately suggest that strategic behavior possibly could occur not only on a cognitive level but also on a motivational level, provided that the motivation is powerful enough.
Despite the fact, that women’s underrepresentation in finance is tried to be encountered by legal regulations, little research has been conducted on why most women still decide to not pursue a career in finance. Thus, finance currently remains to be a male-dominating sector. However, which potential consequences homogeneous versus heterogenous groups in finance have on the success of financial decision-making results in companies in the long term is still little studied. According to this research gap, this thesis sets out to research the cause of gender imbalance as well as the impact of the perception of gender differences in finance from a neuroscientific perspective.
First, it is examined whether distinct biological factors in men and women lead to different interests, skills, and abilities that explain a superior natural suitability to perform in finance. Further, it is discussed how the brain processes financial decisions and which internal- as well as external factors impact decision-making. This will be set in context with major findings from psychologist Iain McGilchrist and his hemispheres-approach, and Daniel Kahnemann and his dual-process theory. Further, it is investigated how particularly women respond to stereotype-threat, applying the latest theories by neuroscientist Gina Rippon, and how this influences women’s ability to perform in the financial sector. According to this, it is explained how deep-rooted gender roles, stereotyping and unconscious biases lead to self-fulfilling prophecies in performance, and thus, restrain the advancement of gender diversity in finance. Finally, it is researched in what way homogenous groups in finance are susceptible to overconfidence and groupthink and to what extend enhancing gender diversity can improve financial decision-making. According to this, neuroscientific strategies that counteract unconscious biases and irrational decision-making in finance are discussed.
Explainable Artificial Intelligence (XAI) seeks to enhance transparency and trust in AI systems. Evaluating the quality of XAI explanation methods remains challenging due to limitations in existing metrics. To address these issues, we propose a novel metric called Explanation Significance Assessment (ESA) and its extension, the Weighted Explanation Significance Assessment (WESA). These metrics offer a comprehensive evaluation of XAI explanations, considering spatial precision, focus overlap, and relevance accuracy. In this paper, we demonstrate the applicability of ESA and WESA on medical data. These metrics quantify the understandability and reliability of XAI explanations, assisting practitioners in interpreting AI-based decisions and promoting informed choices in critical domains like healthcare. Moreover, ESA and WESA can play a crucial role in AI certification, ensuring both accuracy and explainability. By evaluating the performance of XAI methods and underlying AI models, these metrics contribute to trustworthy AI systems. Incorporating ESA and WESA in AI certification efforts advances the field of XAI and bridges the gap between accuracy and interpretability. In summary, ESA and WESA provide comprehensive metrics to evaluate XAI explanations, benefiting research, critical domains, and AI certification, thereby enabling trustworthy and interpretable AI systems.
A physically inspired model of Dip d792 and d1519 of the Kepler light curve seen at KIC8462852
(2016)
Successful employee retention remains one of the most critical issues in human resource management. Various retention strategies have been proposed, examined, and empirically tested for centuries to retain valued employees. This research proposes a psychological explanation on the effectiveness of so-called pay-to-quit incentives and hypothesizes that such anti-incentives might be more beneficial than traditional incentives with regards to employee retention. Cognitive Dissonance Theory, Prospect Theory, and Social Identity Theory help to illustrate the underlying psychological mechanisms of pay-to-quit incentives and their impact on choice, attitudes, cognitions, and behavior.
The main purpose of this qualitative study is to investigate the customers’ motivation to participate in SAP‘s Influencing Programs and to subsequently generate suggestions for possible improvements.
The framework for the domains of interview design, analysis of conducted interviews, as well as the analysis of secondary sources is presented by theoretical analysis of both the involvement of business-to-business customers in the innovation process as well as the nature of motivation.
Empirical findings show that customers’ motivation to participate in SAP IPs consists of, in descending order of importance, the following motives: Influencing functionality, understanding functionality, learning about future functionality, contact to SAP, and contact to other companies. The design of SAP’s Influencing Programs is generally in line with the motivation of participating customers. Still, improvements could be realized in terms of customer involvement during the selection process, internal alignment between different Influencing Program teams, and mandatory training of Influencing Program moderators.