The article aims at explaining visitors' overall judgment of a theatrical event. A questionnaire was constructed including the 4 dimensions of the theatrical experience identified by Eversmann (2004): perceptual, cognitive, emotional, and communicative. The authors investigated 125 visitors of a production in a German community theater and confirmed that both the emotional and cognitive dimensions were determinants of visitors' overall judgment of a theatrical event. Implications for further research on the theatrical experience are discussed.
In the course of the New Public Management reform movement, public administrations have increasingly implemented output-oriented control schemes, including systems to evaluate employees’ performance. However, contradictory evidence exists about how such output control that fundamentally differs from traditional bureaucratic control affects performance-relevant employee attitudes and behaviors. In this article, we present evidence that performance evaluations have positive or negative consequences depending on the specific design of the system. Analyzing survey data from 184 employees and 60 supervisors from the German municipal administration by structural equation modeling, we find performance evaluations employed as Management by Objectives (MbO) have a positive impact on trust in the employer and that those designed as Systematic Performance Appraisal (SPA) affect trust negatively. Both relationships are mediated by perceived cooperative climate. These findings advocate employing performance evaluations that are participative, adaptive, learning-oriented, and transparent and thus enable fair cooperation between organizational members.
It is a vision to integrate real-world data seamlessly into workflows and business applications using ubiquitous computing technology. A large number of deployed low-cost devices enhanced with sensors is observing the physical world. That way, real-world data is provided to business and workflow applications fully automated and in real-time without suffering from media-breaks, that means no manual and only few automated transformations of data formats are allowed. Status information like battery status, CPU and memory utilization are to be gathered in order to manage such a device fleet. In this paper a distributed monitoring service architecture to gather the required status data automatically is presented. The architecture is designed w ith respect to scalability requirements for a heterogeneous landscape mainly consisting of limited and lowpowered devices. A prototype has been implemented and evaluated with respect to CPU and memory utilization. The performance analysis showed promising results in terms of the applicability of the chosen design.
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