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Course of studies
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The business environment has changed within the past few decades. Growing global competition and the trend of shortening product life-cycle have reshaped the market, coercing companies into reconsidering their business strategies and product development. Higher quality, better time-to-delivery, and cost optimization are crucial factors for firms to compete in this tumultuous market. Therefore, companies are adopting a New Product Development (NPD), which is agile and customer-centric. The path toward change, however, is not identical for every enterprise since companies have their own unique organizational architecture and culture, demanding a thorough consideration of various facets of change, which is the focus of this study. EKU Power Drives, the company case study for this research, is actively involved in innovating electrification solutions and embedded software control for mobile power generation in the oil and gas industry upstream segment. The firm is considering transforming to an agile-based framework to fulfill its vision, which is becoming the most preferred partner for the key players in the target markets. This study aims to investigate the optimal Agile methodology and framework for the case study according to its business context, identify the challenges and how to address them, and outline an implementation procedure.
The platform business model replaces the traditional linear value chain model, demonstrating how value can be created differently. The emergence of new platforms in various industries during the last decade has made it difficult to imagine a business without naming at least a handful of active platforms. The platform business model has been proven to revolutionize industries, and this study investigates the possibility of launching a platform business model in unprecedented arenas which still use conventional pipeline business models.
The study explores the process of generating ideas for a new opportunity in the platform business model. After generating 11 ideas, screening and evaluating methods were studied.
This study explores the complex dynamics influencing the establishment of secondary
vocational exchange programs, with an emphasis on identifying the barriers and
facilitators in this process. Adopting a qualitative research approach, the study seeks to
capture the rich, nuanced experiences of stakeholders and provide context-specific
insights. Semi-structured interviews were conducted with professionals, administrators,
and officials associated with German and United States Vocational Education. Employing
a two-tiered participant selection strategy, a range of perspectives were captured. The
data were analyzed using an inductive approach to thematic analysis, aiming to identify
underlying patterns and themes. Preliminary findings indicate that funding, policy and
governance challenges, educational structures, administrative elements, corporate
attitudes, and socio-cultural influences play significant roles in the establishment of these
exchange programs. The research also underscores the importance of participant
preparedness, program structure, stakeholder interest and engagement, diversity and
inclusion, and innovative program approaches as vital facilitators. These insights can
influence the development of policies and practices for future secondary vocational
exchange programs, thus contributing meaningfully to the larger conversation
surrounding vocational exchange programs and international educational partnerships.
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.
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.
This thesis analyzes the effects that product label certification of Fairtrade products and the retail format where they are bought by consumers (Supermarkets vs. Discounters) have on the Willingness-to-Pay (WTP) of common grocery store goods. The thesis builds on data obtained from an online-conducted survey where participants had to respond if a determined price point was deemed as cheap or expensive to them and based on the average reaction times of their answers we determined the individual WTP. Two-way ANOVA analysis were performed with this data and some interesting findings were discovered: while a difference can be observed in consumers WTP for goods depending on the retail environment where they are acquired, there is no evidence of multiplicative effect of product labeling and retail format.
Low profitability is one of the major problems of the airline industry and one approach to solve it is that selling ancillary services to passengers which is called a-la-carte pricing. While this strategy has had some success in terms of additional revenue generation, especially for the low-cost airlines, full-service airlines struggle to implement this approach since their brand image is equivalent to better comfort and complimentary services served to their customers. Therefore, a new and possibly more effective strategy about the ancillary services comes into play which is called the a-la-carte options strategy. This strategy suggests rather than removing the complimentary ancillary services, the airlines can offer a certain number of reward miles to their frequent flyer program members to not choose to use that free ancillary service. By doing that the customer would receive free reward miles and the airlines would save from a substantial cost factor from ancillary services since the reward miles are low-cost for them. In this research, the potential cost reduction of a-la-carte options, optimal mile offer, and the possible customer reaction for launching the strategy are examined. First, potential cost reduction is calculated with real scenarios and flights. Second, customer responses are assessed with a survey conducted. The results show that a-la-carte options strategy can be highly effective on cost-cutting and customers tend to accept and use this strategy. Therefore, a-la-carte options strategy is potentially a good and effective instrument to fight the sector’s long-standing profitability problem by decreasing ancillary service and other customer service operation costs.
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.
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.