The University of Liechtenstein is one of the four centers for higher education in the Principality of Liechtenstein. It focuses on two main fields of study. These are architecture and business economics. The University of Liechtenstein is located in Vaduz, the capital of the principality. The students and faculty come from over 40 countries, and the university has partnerships with over 80 other institutions. Wikipedia.
Thomas O.,German Research Center for Artificial Intelligence |
Vom Brocke J.,University of Liechtenstein
Information Systems and e-Business Management | Year: 2010
We explain the importance of conceptual models for process design with service-oriented architectures (SOA) and illustrate how these models can be used to evaluate the value of SOA. To do so, a methodology is introduced, which comprises both the configuration and the implementation of processes by services and IT components. The approach presented here, makes it possible to evaluate the monetary and objective potentials of SOA, as well as to enhance SOA implementation by providing guidelines. The requirements analysis from an online-mail order company serves as a case study. The results show that up to now, economic aspects were ascribed too little importance in the SOA discussion. © 2009 Springer-Verlag.
von Grabe J.,University of Liechtenstein
Applied Energy | Year: 2016
If occupants of buildings are offered possibilities to interact with the building's equipment elements - such as with windows - in order to optimize their individual environment, these interactions will influence the energy consumption of the building. Therefore, during the design of the building, e.g. by building simulations, these interactions need to be predicted if the energy consumption of the building is to be optimized.These interactions are partly motivated by the need for thermal comfort. A precondition for the prediction of interaction is therefore the prediction of the individual evaluation of the thermal environment. Although 'sensation' is not an optimal conceptualization of 'satisfaction with the thermal environment', it is frequently used as a measure for the evaluation of thermal comfort. However, the prediction of thermal sensation is currently not satisfactorily possible. Therefore, this article examines the potential of artificial neural networks to improve the predictability of thermal sensation. The data base used for this research derives from the RP-884 Adaptive Model Project.Results show that the designed neural network performs excellently in the prediction of the distribution of individual ASHRAE votes under defined conditions, and that it outperforms the classical PMV index in terms of prediction quality and the range of information contained in the prediction. © 2015 Elsevier Ltd.
Neumann H.-M.,University of Liechtenstein |
Schar D.,ZHAW Zurich University of Applied Sciences |
Baumgartner F.,ZHAW Zurich University of Applied Sciences
Progress in Photovoltaics: Research and Applications | Year: 2012
Transport accounts for 31% of Swiss green house gas emissions due to the high degree of oil dependence in transport energy supply. The emissions of transport could be reduced significantly if all the vehicles that ran on fossil fuels would be replaced by electric vehicles powered by photovoltaic solar energy. Compared with other sources of renewable transport energy, photovoltaic generation of electricity has two advantages: it requires little space and can also be applied to built-up areas or transport infrastructure. In this paper, we will examine the potential of parking lots for the photovoltaic generation of solar electricity. The paper is based on simulations that were carried out for 48 parking lots in Frauenfeld, a typical Swiss medium-sized city of 22 665 inhabitants. Covered with solar carports, these parking lots alone would cover 15-40% of the energy demand by the city's road passenger transport. Copyright © 2011 John Wiley & Sons, Ltd.
Seidel S.,University of Liechtenstein
Information Systems and e-Business Management | Year: 2011
This paper reports the results of an exploratory, theory-building study on the impact of creativity on business processes, their management, and the use of information technology (IT) in particular. The empirical evidence was derived from organizations within the creative industries, specifically film and visual effects (VFX) production. An adapted grounded theory approach was employed in order to analyze the data. The study identifies the dynamics of business processes that can be described as highly dependent on creativity, intensively involving the client, complex, and interdependent. It explains the processes' organizational context as well as strategies and IT systems that organizations use in order to manage these processes. The study suggests that creativity-intensive processes are characterized by high levels of uncertainty with regard to outcome, process structure, and required resources. Creative organizations pursue both creative and operational process performance while simultaneously mitigating creative and operational risk. © 2009 Springer-Verlag.
Vom Brocke J.,University of Liechtenstein |
Liang T.-P.,National Chengchi University
Journal of Management Information Systems | Year: 2014
Neuroscience provides a new lens through which to study information systems (IS). These NeuroIS studies investigate the neurophysiological effects related to the design, use, and impact of IS. A major advantage of this new methodology is its ability to examine human behavior at the underlying neurophysiological level, which was not possible before, and to reduce self-reporting bias in behavior research. Previous studies that have revisited important IS concepts such as trust and distrust have challenged and extended our knowledge. An increasing number of neuroscience studies in IS have given researchers, editors, reviewers, and readers new challenges in terms of determining what makes a good NeuroIS study. While earlier papers focused on how to apply specific methods (e.g., functional magnetic resonance imaging), this paper takes an IS perspective in deriving six phases for conducting NeuroIS research and offers five guidelines for planning and evaluating NeuroIS studies: to advance IS research, to apply the standards of neuroscience, to justify the choice of a neuroscience strategy of inquiry, to map IS concepts to bio-data, and to relate the experimental setting to IS-authentic situations. The guidelines provide guidance for authors, reviewers, and readers of NeuroIS studies, and thus help to capitalize on the potential of neuroscience in IS research. © 2014 M.E. Sharpe, Inc.