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Matured markets and rising global competition lead to new challenges for the
manufacturing industry. Lean Production provides an approach to meet those challenges,
even more, to gain competitive advantage by improving the efficiency of processes. As
implementation of Lean Production is associated with high investments in form of time
and money, there is a high demand to measure these improvements. But standardized
Balanced Scorecards (BSCs) and classical Key Performance Indicators (KPIs) are not
designed to show those occurring changes.
This thesis reviews current literature researches and elaborates possible indicators to make
Lean efforts measurable. This approach is further analyzed based on the example of the
implementation of Shop Floor Management in a medium-sized, international automotive
supplier. The thesis results in a proposal of a concrete set of indicators.
Der Schwerpunkt dieser Arbeit stellt das Kulturveränderungsprogramm High-Performance Culture (HPC) bei der Rolls-Royce Power Systems AG (RRPS AG) dar. Etwas mehr als zwei Jahre nach dessen Einführung wird der bisherige Verlauf von HPC analysiert. Durch die Auswertung von Sekundärdaten werden zunächst die Akzeptanz der Mitarbeiter in Bezug auf die HPC-Workshops erfasst und bereichsspezifische Unterschiede ermittelt. Die Sekundärdaten sowie die Primärdaten in Form von durchgeführten Mitarbeiterinterviews, welche anhand der Grounded Theory Methodik ausgewertet werden, bilden die Grundlage für die Bestimmung der Erfolgs- und Widerstandsfaktoren des Programms. Diese werden im Anschluss mit den bestehenden Faktoren aus der Literatur verglichen. Die Ergebnisse zeigen, dass die Workshops bei den Führungskräften und Mitarbeitern überwiegend auf Akzeptanz stoßen. Es konnten sowohl unternehmensspezifische Erfolgs- und Widerstandsfaktoren, als auch Faktoren, die bereits in der Literatur existieren, nachgewiesen werden. Da manche Erfolgsfaktoren bei der Umsetzung von HPC unberücksichtigt geblieben sind und Widerstandsfaktoren auftreten, gestaltet sich der Transfer von HPC in den Arbeitsalltag als schwierig. Infolgedessen werden Handlungsempfehlungen für die Förderung von HPC aufgeführt.
People are surrounded by many offers every day, a discount, a gift or a special sale. A walk through a store can lead us to purchases which are not necessary but in our minds are worth it. Pricing may be one of the easiest ways to influence consumers and to make products more attractive.
This study compares the pricing practices “use of word free/free offers” for example buy one get one free and “discount.” Those two practices have different influences on the consumer behaviour and the product perception. A discount tends to be less worth it than a free offer if an average customer would be asked. A survey of over 200 people was made to witness this statement.
This number of people were divided into two groups which were asked different questions via an A/B testing survey. Group A was asked about a free product, and group B was asked about a discount. Additionally, this study includes a field validation in the form of observation. Customers of a transregional drugstore were observed when buying a product. This drugstore where the validation was made offers a bi-weekly brochure with promoted products. Among them are discounts and free offers. The number of sales was compared and analysed to confirm the results of the survey.
This bachelor thesis explores the opportunities of Talent Scouting at ZF Friedrichshafen AG in terms of a cross-divisional internal talent management measure in line with future requirements and the frame of a CoE function. It deals with the definition of talent within the scope of Talent Scouting, ZF specific demands with regard to matching internal talents with key positions and the general framework that must exist in order for Talent Scouting to be successful.
The thesis is supported with primary and secondary research data. A theoretical framework is set up through a comprehensive literature review and used as a foundation for a qualitative data research approach. The literature review comprises the talent definition within the business scope, the frameworks of TM and a first look at Talent Scouting. Furthermore, relevant internal TM measures at ZF are examined. The research includes expert interviews conducted with ZF internal employees. The gained insights are then discussed and concluded into recommended actions for a Talent Scouting process at ZF.
Major findings include a new understanding of talent and the need for a transparent process to encourage and enforce internal mobility division-wide. Additionally, the requirement for an overall coherent TM strategy is accentuated. This is emphasized with demands for a cultural and organizational mindset change. Additionally, a talent life cycle is established and the concept of a Talent Conference is considered. Further topics discussed include the use of big data, staffing rules in placement processes and possibilities on increasing visibility of talents.
Finally, the thesis provides a brief outlook on the potential of people analytics and system-aided processes for HRM in the future.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.
Renewable energies play an increasingly significant role both in politics in Germany and especially in the energy market. The latter meanwhile is determined by the prices of the different energy sources in the mix of the German market. The goal of the present work is to analyse the influence of renewables on energy prices on the Spot and the Futures market and to find indicators, that help to better predict energy prices and therefore could be decisive for the time of purchase. Due to the limited scale of this thesis and because of the leading role of wind and solar energy, the main focus is on these two energy sources. Therefore, a quantitative data analysis by means of Pearson’s correlation coefficient is performed. The results are analysed to find main influencing factors on energy prices. Using the results, it can be concluded by what kind of event the resulting price changes are caused and how these events can be forecasted.