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In der vorliegenden Arbeit wird die Integration einer Business Intelligence-Lösung in eine bestehende Social Software beschrieben. Dafür wird zunächst der Begriff Business Intelligence und Social Software, der Aufbau sowie deren Bestandteile näher erläutert. Danach erfolgt eine Analyse der IST-Situation der Zielgruppe durch Interviews, deren Auswertungen in der SOLL-Konzeptionierung in eine Anforderungsliste transformiert werden. Abschließend werden die herausgearbeiteten Anforderungen an der finalen Installation geprüft und getestet, um festzustellen ob die Erwartungen der Zielgruppe und ihre Vorstellungen von Business Intelligence realisierbar sind.
Das Ergebnis dieser Arbeit soll eine installierte Business Intelligence-Lösung in einer Social Software sein. Diese soll einen Überblick darüber geben, was mit der aktuellsten Version der Software bereits möglich ist und kritisch aufzeigen, wo es Stärken und Schwächen gibt, die bei zukünftigen Versionenrnbedacht werden sollten.
This thesis deals with quality assurance of model-based SRS, in particular SRS-Models and SRS-Diagrams. The interesting thing about model-based SRS is that they are generated by a documentation generator based on the following input data: SRS-Model, SRS-Diagrams and texts external to the model. Therefore to assure the quality of the documentation the quality of their four factors must be assured, which are the SRS-Model, SRS-Diagrams, external texts and the documentation generator. The thesis" goal is to define a quality connotation for SRS-Models and -Diagrams and to show an approach for realizing automatically quality testing, measurement and assessment for the modelling tool Innovator.
Digitalisation and further media development are core processes of the current digital age. In order for companies to benefit from technical progress, their employees must have or are expected to acquire the relevant skills. Companies therefore are faced with the task of not being overwhelmed with the mass of innovations and opportunities and, in the best-case scenario, of being able to use them to improve their own performance.
Small and medium-sized enterprises represent 99% of all enterprises in Germany. Though, it has not been further established, how the majority of small enterprises and their employees participate in this development. The research question therefore consists of two parts. On the one hand: "Is the promotion of employees' skills taken care of in micro-enterprises?" and on the other hand: "Where are the opportunities and challenges for companies of this size?”
In order to answer the research question, a qualitative research method was used, the guideline-based interview. The interviewed companies were all in the media and IT sector. Thus, the recorded and transcribed data provided a real insight into the current situation in micro-enterprises.
The responses to the interviews showed that companies with very small numbers of employees are more dependent on their employees than others. So, the commitment of the employees is decisive for the success of the company itself. It is the management's task to promote this and ensure employee satisfaction.
Companies that pay more attention to employee development are therefore more recommendable for career starters who need and/or want to develop themselves and their entire horizon of experience.
The thesis develops and evaluates a hypothetical model of the factors that influence user acceptance of weblog technology. Previous acceptance studies are reviewed, and the various models employed are discussed. The eventual model is based on the technology acceptance model (TAM) by Davis et al. It conceptualizes and operationalizes a quantitative survey conducted by means of an online questionnaire, strictly from a user perspective. Finally, it is tested and validated by applying methods of data analysis.
The maintenance strategy “predictive maintenance”, which is characterized by predicting the failure behavior of technical units based on modern sensor technology, plays a key role in smart factories against the background of an industry 4.0. This paper contains an evaluation of the current state of research on this strategy and gives an overview of the areas of application to date. With the aid of a qualitative video analysis, the implementation in the industries and company divisions involved and the type of goods monitored are examined. The analyzed video clips were uploaded to YouTube for example for marketing purposes by various companies with different perspectives on predictive maintenance. The video analysis was realized by applying a previously defined coding plan to the video material. The results show a predominant application in the manufacturing industry, in which predictive maintenance is used to monitor plants and machines. In addition, the strategy is also mainly applied to means of transport used for freight and passenger transport in various infrastructures. As a result of the video analysis, the currently high need for explanation of predictive maintenance becomes visible. By looking at these explanations, one also learns something about the special features that distinguish it from other maintenance strategies.
Innovation can help a forward-looking company to rise up very quickly, furthermore, innovative products and services bring a company to a stage where it can win new segments of customers and be ahead of the competition. For their innovation process, the companies can distinguish between open and closed innovation. In this case, we will focus on open innovation and how companies share their innovation processes for the benefit of the company. They use information and innovation systems to define their innovation process, as well as, track innovative ideas and the phase of their development. There are always pros and cons when it comes to open innovation processes in an organization. We will try to look at certain examples in the business world to illustrate how good or bad an open innovation process can be for a company. In this Bachelor thesis, we will try to point out the essential criteria for an open innovation process and illustrate companies which have used open innovation processes. In some cases it went successfully and for some companies it went unsuccessfully.