IMM - International Management
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This study investigates the interrelationship between Knowledge Management (KM) and employee satisfaction and proposes strategic implementation steps for the further development and acceptance improvement of a new Operational Framework (Blueprint) at Robert Bosch GmbH, Power Electronics. Two primary research questions are addressed: (1) whether KM offers insights into and explanations for employee satisfaction issues, and (2) what strategic implementation steps can be derived for the development and acceptance of the Blueprint. The research commenced with an analysis of existing employee satisfaction surveys, supplemented by in-depth interviews, to understand the current state of employee satisfaction in the business unit undergoing transformation. The literature review was then conducted to ascertain the connection between KM and employee satisfaction. Subsequently, the study engaged in multiple interviews with top management in the Power Electronics business unit to identify implementation measures and best practices across various industries. A comprehensive set of practices was established and subsequently evaluated in a workshop involving line employees from the business unit, integrating theoretical findings with practical experiences. The final recommendations were grouped into three categories: Meeting Structure, Culture and Leadership, and Knowledge Management Guidance. The findings underscore the significance of KM in promoting employee satisfaction and suggest that the proposed strategic steps can foster the further development and acceptance of the Blueprint at Robert Bosch GmbH, Power Electronics.
Climate change is currently one of the biggest challenges both in terms of danger to natural habitats, wildlife, and humanity. To tackle climate change, we need to reduce our carbon emissions in a fast and decisive way. This thesis studies one of the potential solutions to do so: green hydrogen. More specifically, its potential development by 2030 in Spain using INKA 4.0 scenario planning software.
Green hydrogen shows to have a wide range of applications, from transport to heating and industry with great potential to decarbonize many sectors. It does come, however with a number of important hurdles mainly related to cost, scalability and technical difficulties that will need to be addressed for it to be successful. With this, 10 descriptors were created generating three scenarios to be studied. The most consistent of them, a successful development of green hydrogen in Spain by 2030 is characterized by having all of its descriptors in a favoring state while the other two have some or all in a hindering state, making its development not successful within the established timeframe. Concluding that due to the great challenge the development of green hydrogen is, its success needs to have all factors supporting it.
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.
Organizations invest money, time and energy on fostering gender diversity at the workplace. Other than being fair, diversity has been proved to improve company performance, as it promotes innovation, creative thinking and decision-making capabilities, as an example. However, having said that, there are still some sectors or areas which lack of a fair representation between men and women. In order to build a more balanced workforce, it is necessary for the organization to find ways to be appealing to all groups. One way can be to focus on the recruitment process.
The recruitment process contains some major and minor biases, which can influence the hiring decision. In most recent years, it has been revealed that the words used in job postings can in fact encourage or discourage different groups of people, in this case, men and women. That is due to the fact that language is gendered, because men and women communicate who they are, what they want, what they need differently. Language is strictly related to how one person is perceived in the society and the role they have, with the risk of falling into a stereotype.
The objective of the paper is to study and explain the effect of wording in job postings. To do so, around 200 participants have replied to a questionnaire which presents ten sets of job descriptions containing and comparing gendered words. The questionnaire allows to compare the answers from men and women and assess to what extend wording influence the application decision. It appears that women are more reactive to biased language than men and they prefer female-themed terms; despite being more indifferent, men also lean towards feminine language in some cases.
The insurance industry in Germany has been dominated by a commission-based sales model for over seventy years. Intermediaries sell insurance contracts to end customers and are paid a commission depending on the value and type of insurance. This commission-based approach incentivizes salespeople to keep adding new policies to customers in order to make a living, and customers do not get the insurance solutions and advice that suit them the best. A financial services provider has now developed a novel business model that aims to disrupt the insurance industry in Germany. It replaces commission-based insurance with commission-free tariffs and instead includes a flat fee for managing the client's insurance policies. However, the business idea can only be realized profitably if the administrative expense per client is significantly reduced. Due to strict regulations in the insurance industry, many activities within the process are mandatory.
The goal of this work is to automate the business process behind the idea through the use of digital technologies and to reduce the workload in order to make the business model profitable. We used design thinking as a mental framework to carry out the digital transformation of the business model in a structured way. As part of this qualitative research, we conducted expert interviews and a document structure analysis to define hurdles for the realization and to develop detailed process maps. We carried out a process workshop, during which we analyzed the process and identified requirements for a digital prototype, which was developed using the low-code framework bubble.io.
Through workload time measurements, the impact of digital transformation on the performance of the process was confirmed. Finally, different digital options were compared with each other. The findings of this work support the thesis that design thinking has a positive influence on the success of digital transformation and in particular in the development of solutions tailored to people. This success is underlined by a reduction in workload times by 71,2% for bottleneck activities. The comparison of the various digital options implies that the development of customized digital applications is preferable for unique and complex problems.
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 thesis examines affiliate review’s role in the relationship between direct-to-consumers (D2C) brands and consumers. Three D2C brands were selected as case companies for the multiple-case study. Seventy-five affiliate reviews were analysed, out of which fifteen were analysed in-depth. Additionally, a share of voice analysis was performed to establish the market share of each case company. The research has shown that affiliate reviews play a dual role as recommenders and sellers, which D2C brands use to achieve competitive advantage. However, the dual role is created at the expense of review quality, which is low.