In this paper, we integrate heterogeneous inflation expectations into a simple monetary model.
Guided by empirical evidence, we assume that boundedly rational agents, selecting between extrapolative
and regressive forecasting rules to predict the future inflation rate, prefer rules that have
produced low prediction errors in the past. We show that integrating this behavioral expectation
formation process into the monetary model leads to the possibility of endogenous macroeconomic
dynamics. For instance, our model replicates certain empirical regularities such as irregular growth
cycles or inflation persistence. Moreover, we observe multi-stability via a Chenciner bifurcation.
More than five years have passed since the final release of the long-desired OASIS standard of a process language for Web Services orchestration, the Web Services Business Process Execution Language (BPEL). The aim of this standard was to establish a universally accepted Web Services orchestration language that forms a core part of service-oriented architectures and, because of standardization,
avoids vendor lock-in. By now, several fully conformant engines should have arrived in the market. It is our aim to shed light on this situation and to provide a comprehensive picture of the
current state of BPEL upport. We present an evaluation of the standard conformance of five open source BPEL engines.
To obtain these results we have developed betsy, a tool that allows for a fully-automatic standard conformance testing of BPEL engines. The results demonstrate that full standard
conformance in contemporary engines is still far from given.
This research examines the sources and consequences of stress when using online social networks (OSN). In a first step, the five OSN-induced stressors invasion, pattern, complexity, uncertainty, and disclosure are identified. In a second step, the Model of Continuous OSN Usage is developed in order to examine the influence of these five stressors. Therefore, the model is based on the Model of Adoption of Technology in Households and the Post-Acceptance Model. Results of an empirical analysis with 154 OSNs users reveal that 57 per cent of satisfaction and 64 per cent of continuous usage intention can be explained within the Model of Continuous OSN Usage. Notably, the five stressors have a higher strength of effect on satisfactions than the three attitudinal beliefs hedonic, utilitarian, and social outcomes altogether. In summary, the results offer a theoretical foundation for recent practical observations that OSNs are a source and symbol of stress.
To address shortcomings of predominately subjective measures in empirical IS research on IT usage and human-computer interaction, this paper uses a multi-method experimental analysis extending empirical surveying with objective measures from eye-tracking and electrodermal activity (EDA). In a three stage process, objective user performance is observed in terms of task fulfillment and user performing of participants in four focus groups, classified by user system experience and the treatment pressure to perform. Initial results of this research-in-progress reveal that users with prior system experience perform considerably better and faster than users without system experience. This also accounts for users under pressure to perform compared to users without pressure to perform. However, the results of the EDA show that users under pressure to perform also have a higher objective strain level. Furthermore, a first regression analysis outlines that objective performance might help to understand user's system satisfaction to a greater extent.
The research reported in this article intends to investigate whether individuals a) update degrees of beliefs over time and b) transfer behavioral intentions into adoption behavior in a different manner based on their personality. Therefore, the personality trait dispositional resistance is discussed within the Integrative Framework of Technology Use. Results of an empirical longitudinal analysis (N=145) show that individuals update their beliefs based on prior beliefs and usage behavior differently in accordance with their personality. Results also reveal that individuals transfer behavioral intentions into adoption behavior differently based on their personality. Hence, we discuss our contributions to technology adoption research by highlighting the importance of personality traits when investigating technology-related beliefs and behavior over time. Results also include an assessment of the findings' practical relevance by identifying which individuals maintain negative beliefs over time and by identifying the high extent of technology usage as a possibility for overcoming negative beliefs.