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This master thesis is about the possibilities of supporting local corporate sales with the help of current mobile applications. The internet already has served in order to make the trading market more dynamic. The conditions for long-term local corporate sales have become more challenging. Because of smaller cost structures online-retailer offer prizes on which local point of sales can hardly keep up with. Another point is that more customers decide to order online because the service in e-shops enhanced; therefore, the digital transactions become more attractive for consumers. Today smartphones and tablets have brought the digitalization to a whole new level. With the possibility of Mobile Web the effects that the internet already showed us in the past have been intensified. The question that proposes here is: In which way do the conditions of competitions for local corporate sales change? This paper follows the outline of putting together various mobile services, their functions, and their practical usage, as well as the process of integrating them successfully into marketing. With that one should be able to find out if Mobile Web can be seen as an advantage for local corporates sales.
Despite the inception of new technologies at a breakneck pace, many analytics projects fail mainly due to the use of incompatible development methodologies. As big data analytics projects are different from software development projects, the methodologies used in software development projects could not be applied in the same fashion to analytics projects. The traditional agile project management approaches to the projects do not consider the complexities involved in the analytics. In this thesis, the challenges involved in generalizing the application of agile methodologies will be evaluated, and some suitable agile frameworks which are more compatible with the analytics project will be explored and recommended. The standard practices and approaches which are currently applied in the industry for analytics projects will be discussed concerning enablers and success factors for agile adaption. In the end, after the comprehensive discussion and analysis of the problem and complexities, a framework will be recommended that copes best with the discussed challenges and complexities and is generally well suited for the most data-intensive analytics projects.
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.