In a scope where continuous innovations are seen each day, the cyberspace can be seen as the tech-entrepreneurs’ playground for delivering new solutions to customers. Digital start-ups who interact through the cyberspace operate with little to no restriction despite having limiting resource. In 2008 a man named Satoshi Nakamoto developed a new technology called blockchain. The new breed of firms providing blockchain solutions have been painted to live in a borderless world with little technical restrictions. Exploring the effects that blockchain brings to their internationalisation has brought our attention to study the early internationalisation of blockchain born globals and their business ecosystem. The deductive and qualitative approach gave the results from four different companies that were involved in blockchain technology. By using previous theory on internationalisation and a deductive approach a conceptual synthesis was developed. The synthesis was later applied in the case-companies to observe the results. The findings have shown that the firms implementing blockchain in the core offering has resulted in an accelerated internationalisation. The major factors contributing to this quick internationalisations is the spread of knowledge between buyers and sellers, trough the cyberspace. However, the authors were unable to find a relationship between the accelerated internationalisation and to the extent in which a firm has implemented blockchain in its core offering. The finding has given the authors prominent answers to the research question and has highlighted the complexity of the subject. The, authors conclude the thesis by displaying the importance of cyberspace in the business ecosystem; how it attracts customers and the importance of the company’s business model. Blockchain technology proved to have effects on the process of internationalisation due to superior technological performance, but also its hype.

In general, a common reference architecture can be derived for Software as a Service (SaaS) architecture. However, while designing particular applications one may derive various different application design alternatives from the same reference SaaS architecture specification. To meet the required functional and nonfunctional requirements of different enterprise applications it is important to model the possible design so that a feasible alternative can be defined. In this thesis, we propose a systematic approach and the corresponding tool support for guiding the design of the SaaS application architecture. The approach defines a SaaS reference architecture, a family feature model and a set of reference design rules. Based on the business requirements an application feature model is defined using the family feature model. Selected features are related to design decisions and a SaaS application architecture design is derived. By defining multiple application architectures based on different application feature models we can even compare multiple alternatives and based on this select the most feasible alternative.

The use of Audience Response Systems (ARSs) for tech-enhanced learning scenarios has proven to address issues occurring within higher education, e.g. the missing interaction between the lecturer and the students. Since the majority of these systems relies on a single supported didactic concept and therefore has a limited set of provided functions, ARSs are currently restricted to support classic content-based as well as enquiry-based learning. The support of more advanced didactic concepts in order to investigate studio-based learning is currently not possible due to the lacking collaborative and cooperative functionality. This paper presents a unified (meta-)model which is able to express various scenarios, targeting the holistic support of content-based, enquiry-based and studio-based learning. The created model is evaluated within a user study to reason about the applicability of its underlying concept as well as the defined function blocks. In addition, this paper purposes ideas for a future graphical editor, which will support the modeling process, and provides concrete details for a possible implementation of a system on top of the (meta-)model. Index Terms—audience response systems, collaborative learning, adaptability, meta-model, domain-specific language, highereducation, technology-enhanced learning