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Unternehmen in Netzwerken
(2007)
The architecture of decentralized digital transaction systems with public transaction history provides no transaction monitoring to prevent unwanted transactions and to identify the transmitter and receiver of those transactions. With the introduction of a public list of unwanted addresses, it is possible to isolate these unwanted addresses by general exclusion and thereby to prevent unwanted transactions, as well as to identify the owners of unwanted addresses. The public list management can be performed by decentralized multiple instances using a trust network, so that the decentralized nature of the systems is maintained.
Entrepreneurship plays a vital role in scientific literature and in public debates. Especially in these hightech and digitized times it happens more and more frequently that young entrepreneurs with a good idea make the breakthrough and set up an established company. Basically, there are an increasing number of start-ups and a trend towards independence. The economy of a country depends on young entrepreneurs in order to remain economically competitive in international competition. It follows that young entrepreneurs must be encouraged and supported. This support is expressed in various stages of foundation and through various fields of action. In the meantime, there are many offers for start-up support. These networks satisfy different fields of action along a foundation. However, a structured overview of these networks on which a young founder can orient himself and gain easily access to the offers of the networks, is missing until then.
This work attempts to present these offers clearly on a map and to categorize and present the commitment in the respective fields of action. In addition to this main objective, the following three key questions are investigated and answered in this work:
1. How can the Entrepreneurship Networks be assigned to the respective fields of action of Entrepreneurship Education?
2. What is the benefit of such a classification for potential entrepreneurs in detail?
3. Are these Entrepreneurship networks missing an important step? Might they improve their offer? Does the value chain cover every need a young entrepreneur might have?
For this purpose, the respective fields of action of the networks are first separated from each other along a founding and defined individually. Subsequently, a combination of quantitative and qualitative approaches was used to filter and analyze the contents of the websites of the networks. The results of this investigation were transformed in a classification
The aim of this work is to produce a map that displays the existing networks in the world clearly. The map also contains information that is more detailed and the classifica-tion of the networks in the respective fields of action.
In the last few years, information technology experienced a great increase. People and Enterprises are able to exchange information through the development of the Web 2.0 to the Social Web. Social Networks like Facebook or Xing, blogs from known and unknown people or the many discussion forums are common platforms where people have the opportunity to share and exchange information. Enterprises and people have to accept this fact and development. The reputation is also influenced by the overabundance of information. The result of this development is the digital reputation, which extend the entire reputation. Everyone who is looking for an order or a job can assume that his orrnher name will be "googled", whether he or she is a part of an internet branch or not. Every information is available through search engines. Just a quick look at the Facebook or Xing profile is needed to get a brief impression of someone. The communications expert Klaus Eck said that someone who takes the internet seriously will get a benefit for the development of his digital reputation. This research work will show you through a self made questionnaire what is seen as positive and negative influences on the reputation in Social Networks and how the digital reputation impacts the entire reputation.
Prävention von Korruption
(2006)
The known methods of the prevention of corruption are set into context of comparable ways to obviate accidences during working processes, environmental pollution by organisations and the options to ensure quality for manufactured goods. The aim was to find out if and in which degree the different methods of prevention in the area of corruption and the mentioned aspects of the TQM support each other.
The initial problem that motivated this thesis is the lock of possibility to represent finished theses by students of the research group BAS. Many finished thesis are only available in a printed version. Some of the students created their own websites but these are not uniform.
The first step to solve this problem is to create an overall research design. The research design of this thesis based on the construction-oriented approach of design science research by Hevner [2007]. The initial problem will be solved by creating a Web 2.0 website. Therefore the open source content management system Drupal is used. For the implementation of the target system, a set of requirements will be collected. This set of requirements will be collected by using various methods such like mock ups, interviews, collaboration scenarios and personas. To meet the collected requirements a set of additional modules will be added to the core version of Drupal. This advanced version of Drupal will be scenario and user tested. A result of this work is a deployable prototype, with which it is possible to present various theses. A further result will be user guides that describe the operation of the prototype. This thesis finishes with a conclusion and an outlook on the further use of the prototype.
Künstliche Intelligenz (KI) hat sich in den letzten Jahren in der Gesellschaft stark ver-breitet und auch in Unternehmen einen zunehmenden Einsatz gefunden. Bekannt für den Einsatz sind meistens große internationale Konzerne, welche eine führende Position in den Märkten einnehmen. Um Deutschland als KI-Standort zu stärken, hat deshalb die Bundesregierung 2018 beschlossen, mit 5 Milliarden Euro deutsche Unternehmen in der Verwendung von KI zu fördern. Stand September 2021 wurden von diesen allerdings nur 346 Millionen abgerufen, wodurch sich die Frage stellt, wie besonders kleine und mittlere Unternehmen (KMUs) in Deutschland mit dem Thema KI umgehen.
Ziel dieser Arbeit ist es deshalb, die Perspektive der KMUs auf Akzeptanzkriterien, Hindernisse und Potenziale des Einsatzes von KI zu untersuchen. Um die Forschungs-fragen zu beantworten, wurde eine qualitative Interviewstudie mit fünf KMUs durchge-führt, welche im Anschluss mit dem Ansatz der qualitativen Inhaltsanalyse nach May-ring ausgewertet wurde.
Die Arbeit zeigt, dass Unternehmen ein großes Interesse am Thema KI haben und sich der Einsatz immer weiter verbreitet. KMUs sehen viel Potenzial durch den Einsatz der neuen Technologie, sehen aber noch einige Hindernisse, die es zu überwinden gilt.
Digital Transformation is a main enabler for technological change in today’s society and corporate structures. Companies of all sizes have to face up the change. The com-plexity of the innovations is constantly growing. More and more information and knowledge are needed to build a basis for renewal. Different capabilities, such as highly qualified employees, material resources and the correct handling with these information, constitute the background for the advancement. Compared to large companies, small and medium sized companies (SMEs) are struggling more with these circum-stances. This leaves potential capabilities to optimize daily routines unused.
Challenges here are different internal and external barriers. Examples for that are the lack of IT expertise and innovation culture. Hence it is very important, to show SMEs the advantages of the innovation process within the scope of digital transformation. Cost savings, improvement of IT infrastructure or optimization of their business processes, are drivers that should be adopted in the awareness of SMEs.
Recommendations for action are needed, also with the support of information management. This includes information management, strategic management for external an internal information and the selection of an appropriate IT infrastructure. However dynamic management skills and sufficient IT expertise also complement the digitization process.
This becomes clear from the literature analysis following the principles of Webster and Watson (2002). The Concept mapping and the concept matrix serves to support the process. They are presenting the key words and showing the most important works of the bachelor thesis. The argumentation of the bachelor thesis based on this.
Nutzung von Big Data im Marketing : theoretische Grundlagen, Anwendungsfelder und Best-Practices
(2015)
Die zunehmende Digitalisierung des Alltags und die damit verbundene omnipräsente Datengenerierung bieten für Unternehmen und insbesondere Marketingabteilungen die Chance, Informationen in bisher ungekannter Fülle über ihre Kunden und Produkte zu erhalten. Die Gewinnung solcher Informationen aus riesigen Datenmengen, die durch neue Technologien ermöglicht wird, hat sich dabei unter dem Begriff Big Data etabliert.
Die vorliegende Arbeit analysiert diese Entwicklung im Hinblick auf das Potenzial für die unternehmerische Disziplin des Marketings. Dazu werden die theoretischen Grundlagen des Einsatzes von Big Data im Marketing identifiziert und daraus Anwendungsfelder und Best-Practice-Lösungen abgeleitet. Die Untersuchung basiert auf einer Literaturanalyse zu dem Thema Big Data Marketing, welche neben verschiedenen Studien und Befragungen auch Expertenmeinungen und Zukunftsprognosen einschließt. Die Literatur wird dabei zunächst auf die theoretischen Grundlagen des Konstrukts Big Data analysiert.
Anschließend wird die Eignung von Big Data Lösungen für den Einsatz in Unternehmen geprüft, bevor die Anwendung im Bereich des Marketings konkretisiert und analysiert wird. Es wurde dabei festgestellt, dass anhand der theoretischen Aspekte von Big Data eine starke Eignung für den Einsatz im Rahmen des Marketings besteht. Diese zeichnet sich vor allem durch die detaillierten Informationen über Verhaltensmuster von Kunden und ihre Kaufentscheidungen aus. Weiterhin wurden potenzielle Anwendungsfelder identifiziert, welche besonders im Bereich der Kundenorientierung und der Marktforschung liegen. Im Hinblick auf Best-Practice-Lösungen konnte ein grober Leitfaden für die Integration von Big Data in die Unternehmensorganisation entwickelt werden. Abschließend wurde festgehalten, dass das Thema Big Data eine hohe Relevanz für das Marketing aufweist und dies in der Zukunft maßgeblich mitbestimmen wird.