Service staff attitudes, organisational practices and performance drivers

We provide conceptual and empirical insights elucidating how organizational practices influence service staff attitudes and behaviors and how the latter set affects organizational performance drivers. Our analyses suggest that service organizations can enhance their performance by putting in place strategies and practices that strengthen the service-oriented behaviors of their employees and reduce their intentions to leave the organization. Improved performance is accomplished through both the delivery of high quality services (enhancing organizational effectiveness) and the maintenance of frontline staff(increasing organizational efficiency). Specifically, service-oriented business strategies in the form of organizational-level service orientation and practices in the form of training directly influence the manifest service-oriented behaviors of staff. Training also indirectly affects the intention of frontline staff to leave the organization; it increases job satisfaction, which, in turn has an impact on affective commitment. Both affective and instrumental commitment were hypothesized to reduce the intentions of frontline staff to leave the organization, however only affective commitment had a significant effect.

The efficacy of the Sortino ratio and other benchmarked performance measures under skewed return distributions

This paper will investigate the suitability of existing performance measures under the assumption of a clearly defined benchmark. A range of measures are examined including the Sortino Ratio, the Sharpe Selection ratio (SSR), the Student’s t-test and a decay rate measure. A simulation study is used to assess the power and bias of these measures based on variations in sample size and mean performance of two simulated funds. The Sortino Ratio is found to be the superior performance measure exhibiting more power and less bias than the SSR when the distribution of excess returns are skewed.

Impromptu : an interactive programming environment for composition and performance

Interactive development environments are making a resurgence. The traditional batch style of programming, edit -> compile -> run, is slowly being reevaluated by the development community at large. Languages such as Perl, Python and Ruby are at the heart of a new programming culture commonly described as extreme, agile or dynamic. Musicians are also beginning to embrace these environments and to investigate the opportunity to use dynamic programming tools in live performance. This paper provides an introduction to Impromptu, a new interactive development environment for musicians and sound artists.

Regional performance : mapping "The North"

Paul Makeham’s work in AusStage Phase 3 has centred on regional mapping of live performance activity. A pilot mapping project was developed to identify regional clusters of performance as well as key regional organisations. In designing this pilot project, reference was made to two other ARC-funded projects. The first of these was Talking Theatre, an audience development research initiative for Queensland and the Northern Territory supported by an ARC Projects-Linkage grant. Talking Theatre was funded between 2004 and 2006 as a Linkage between the ARC, NARPACA (the Northern Australian Regional Performing Arts Centres Association), Arts Queensland, Arts Northern Territory, and QUT. The second project was the Creative Digital Industries National Mapping Project, operating through QUT’s Centre for Excellence in the Creative Industries (CCi). The NMP is designed to develop and publish a range of accurate and timely measures of the Creative Digital Industries in Australia.

Dramatic teaching : focussing on drama, theatre, and performance in higher education

This 90 minute panel session is designed to explore issues relating to the teaching of drama, performance studies, and theatre studies within Higher Education. Some of the issues that will be raised include: developing an understanding of the learning that students believe they are experiencing through performance; contemporary models for teaching; and the suggestion that the body can be an important site for acquiring a variety of different knowledges. Paul Makeham will present a general position paper to commence the session (15 minutes). Maryrose Casey, Gillian Kehoul, and Delyse Ryan will each speak briefly (15 minutes) about aspects of their research into Higher Education teaching before opening the floor for a round-table discussion of issues affecting the teaching of these disciplines.

Performance Research in Rangeland Communities

In 2003, Bill Dunstone, John McCallum and Paul Makeham began a collaboration with researchers at the Centre for the Management of Arid Environments (CMAE) in Kalgoorlie, Western Australia. CMAE researchers are keen to develop 'people-oriented' strategies for implementing agricultural extension initiatives in their region. Traditional hierarchies of knowledge-transfer have impeded the 'connectedness' between community and researchers that gives meaning and relevance to useful practice (Ison and Russell, 2000). Our aim is to establish a partnership between the Live Events Research Network (LERN) and CMAE, investigating ways to link creative, performance-based research and practice with the scientific methodologies associated with natural resources management. This accords with recent work undertaken by Deborah Mills and Paul Brown, showing how community cultural development strategies enhance the implementation of policy concerned with community wellbeing. Mills and Brown 'adopted a concept of wellbeing which builds on a social and environmental view of health', and considered such themes as ecological sustainability, rural economic revitalisation, community strengthening, health and wellbeing (Mills, 2003). We propose that rangeland communities can creatively manage some of the challenges confronting them through performance-based projects which: - activate the stories through which a community enacts its sense of place; - facilitate live events in which the community enacts ownership of its culture and identity; - directly involve the community in the formulation of research issues

Changing musical emotion : a computational rule system for modifying score and performance

When communicating emotion in music, composers and performers encode their expressive intentions through the control of basic musical features such as: pitch, loudness, timbre, mode, and articulation. The extent to which emotion can be controlled through the systematic manipulation of these features has not been fully examined. In this paper we present CMERS, a Computational Music Emotion Rule System for the control of perceived musical emotion that modifies features at the levels of score and performance in real-time. CMERS performance was evaluated in two rounds of perceptual testing. In experiment I, 20 participants continuously rated the perceived emotion of 15 music samples generated by CMERS. Three music works, each with five emotional variations were used (normal, happy, sad, angry, and tender). The intended emotion by CMERS was correctly identified 78% of the time, with significant shifts in valence and arousal also recorded, regardless of the works’ original emotion.

Dynamic Performance Measures for Object Tracking Systems

Performance evaluation of object tracking systems is typically performed after the data has been processed, by comparing tracking results to ground truth. Whilst this approach is fine when performing offline testing, it does not allow for real-time analysis of the systems performance, which may be of use for live systems to either automatically tune the system or report reliability. In this paper, we propose three metrics that can be used to dynamically asses the performance of an object tracking system. Outputs and results from various stages in the tracking system are used to obtain measures that indicate the performance of motion segmentation, object detection and object matching. The proposed dynamic metrics are shown to accurately indicate tracking errors when visually comparing metric results to tracking output, and are shown to display similar trends to the ETISEO metrics when comparing different tracking configurations.