Stress, health, work and family in the Australian hospitality industry

Hospitality was found to be a potentially high stress occupation. Potential work and family stressors, symptoms, affective factors, coping strategies and resources were identified. A stress-psychological health model was developed. Possible implications for stress research, measurement, prevention and management in the hospitality industry were proposed.

Adaptive hierarchical scheduling policy for enterprise grid computing systems

In an enterprise grid computing environments, users have access to multiple resources that may be distributed geographically. Thus, resource allocation and scheduling is a fundamental issue in achieving high performance on enterprise grid computing. Most of current job scheduling systems for enterprise grid computing provide batch queuing support and focused solely on the allocation of processors to jobs. However, since I/O is also a critical resource for many jobs, the allocation of processor and I/O resources must be coordinated to allow the system to operate most effectively. To this end, we present a hierarchical scheduling policy paying special attention to I/O and service-demands of parallel jobs in homogeneous and heterogeneous systems with background workload. The performance of the proposed scheduling policy is studied under various system and workload parameters through simulation. We also compare performance of the proposed policy with a static space–time sharing policy. The results show that the proposed policy performs substantially better than the static space–time sharing policy.

An agent architecture for managing data resources in a grid environment

The agent paradigm has been successfully used in a large number of research areas. MAPFS, a parallel file system, constitutes one successful application of agents to the I/O field, providing a multiagent I/O architecture. The use of a multiagent system implies coordination and cooperation among its agents. MAPFS is oriented to clusters of workstations, where agents are applied in order to provide features such as caching or prefetching. The adaptation of MAPFS to a grid environment is named MAPFS-Grid. Agents can help to increase the performance of data-intensive applications running on top of the grid.

This paper describes the conceptual agent framework and the communication model used in MAPFS-Grid, which provides the management of data resources in a grid environment. The evaluation of our proposal shows the advantages of using agents in a data grid.

Climate change research & responses on the Eyre Peninsula : Weaving natural resources management with community resilience planning

In the last 10 years climate change risk assessment has come to a head as a matter of discussion at all levels of governance. In an attempt to gain a co-ordinated appreciation, measure of scope and impact likelihood, and to better guide a holistic natural resources management strategy, the Eyre Peninsula Natural Resources Management Board has taken a comprehensive exclusive and coordinated approach at a regional level to this issue.

Water, agricultural sustainability, biodiversity enrichment and stabilisation, and community resilience planning are all integral features in this 'program' of research and engagement. The clear intent is to creatively drive change and socio-economic growth without compromising the significant aesthetic and biodiversity attributes of the landscape and its primary role as a dryland wheat producer. The 'program' involves clear practice-based research as to fact, fiction and perception, and the provision of scenarios as to vulnerability and resilience building to cater for climate change over the next 30 years but also to sensitively respond to propective mining growth for the Peninsula.

This paper reviews this 'program', the research and findings undertaken, the co-ordinated actions being taken, the importance of community engagement and resilence building, and the orchestration and propective execution of this 'program' by the Board.

The 'program' represents important case model in successful regional planning.

Innovation in logistic services and the new business model : a conceptual framework

Service industries hold an increasingly dynamic and pivotal role in today’s knowledge-based economies. The logistics industry is a classic example of the birth and development of a vital new service-based industry, transformed from the business concept of transportation to that of serving the entire logistical needs of customers. Quantum advances in science, technology, and communication in the new millennium have compelled firms to consider the potential of the so-called new “resources” (technology, knowledge and relationship networks) that are essential if firms are to operate effectively within the emerging business model, and to utilise the opportunities to innovate and gain market leadership. Through an extensive literature review, this paper examines the factors that nurture innovation in logistics services, identifies the contributions of the new “resources” and, using industry examples, examines the application of these resources to logistics firms as they assume an extended role within the new business model

Energy-efficient management of data center resources for cloud computing : a vision, architectural elements, and open challenges

Cloud computing is offering utility-oriented IT services to users worldwide. Based on a pay-as-you-go model, it enables hosting of pervasive applications from consumer, scientific, and business domains. However, data centers hosting Cloud applications consume huge amounts of energy, contributing to high operational costs and carbon footprints to the environment. Therefore, we need Green Cloud computing solutions that can not only save energy for the environment but also reduce operational costs. This paper presents vision, challenges, and architectural elements for energy-efficient management of Cloud computing environments. We focus on the development of dynamic resource provisioning and allocation algorithms that consider the synergy between various data center infrastructures (i.e., the hardware, power units, cooling and software), and holistically work to boost data center energy efficiency and performance. In particular, this paper proposes (a) architectural principles for energy-efficient management of Clouds; (b) energy-efficient resource allocation policies and scheduling algorithms considering quality-of-service expectations, and devices power usage characteristics; and (c) a novel software technology for energy-efficient management of Clouds. We have validated our approach by conducting a set of rigorous performance evaluation study using the CloudSim toolkit. The results demonstrate that Cloud computing model has immense potential as it offers significant performance gains as regards to response time and cost saving under dynamic workload scenarios.

Self-regulation of sex offending, future pathways and the Good Lives Model : applications and problems

Two theoretical developments, the Self-Regulation Model of the Offence and Relapse Process and the Good Lives Model, have recently offered promise in the advancement of sex offender treatment. The present paper represents a preliminary attempt to operationalize these theoretical principles by developing a number of practical treatment procedures. We have employed the method of a life map, which traces personal development from birth and which incorporates long-term future projections. This includes all actions, events, incidents and skills (whether positive or negative), which have led to a sense of self-esteem and the development of personal values. These will include risk factors and criminogenic needs which lead to offending as well as positive experiences and self-resources which can be incorporated into a future Good Lives Pathway. Two case illustrations are presented, which demonstrate the way in which all experiences from the past can be incorporated into alternative future pathways. These pathways will include positive self-resources and protective variables which develop into a non-offending future and negative self-resources with risk variables which develop into an offending future. The cases illustrate the way in which GLM and self-regulation pathways can be combined in a robust practical treatment procedure. Practical difficulties inherent in the procedure are also discussed.

Rehabilitation, etiology, and self-regulation : the comprehensive good lives model of treatment for sexual offenders

In this paper, we draw upon two sets of theoretical resources to develop a comprehensive theory of sexual offender rehabilitation named the Good Lives Model-Comprehensive (GLM-C). The original Good Lives Model (GLM-O) forms the overarching values and principles guiding clinical practice in the GLM-C. In addition, the latest sexual offender theory (i.e., the Integrated Theory of Sexual Offending; ITSO) provides a clear etiological grounding for these principles. The result is a more substantial and improved rehabilitation model that is able to conceptually link latest etiological theory with clinical practice. Analysis of the GLM-C reveals that it also has the theoretical resources to secure currently used self-regulatory treatment practice within a meaningful structure.

Striving for a good life : the good lives model applied to released child molesters

The good lives model (GLM) is a strengths-based approach to offender rehabilitation in which treatment aims to equip offenders with the skills and resources necessary to satisfy primary goods, or basic human values, in personally meaningful and socially acceptable ways. The aim of the present research was to explore the practical utility of the GLM with a sample of released child molesters, and investigate the relationship between primary goods attainment and overall re-entry conditions (in terms of accommodation, social support and employment). Semi-structured interviews were conducted with 16 child molesters at one, three and six months following their release from prison. As expected, participants endorsed the majority of GLM primary goods with high importance, and positive re-entry experiences were associated with increased goods attainment. Implications for clinicians, policy makers and society as a whole are discussed.

Improving employee outcomes in the public sector

Purpose – The purpose of this paper is to examine the efficacy of the demand-control-support model, augmented with employee perceptions of organisational justice and degree of met expectations.

Design/methodology/approach – Data were collected from 128 public sector employees working in a large state police force operating under many of the elements of new public management. Hierarchical multiple regression analyses were conducted using four indicators of occupational strain: employee wellbeing, job satisfaction, organisational commitment and intent to quit.

Findings – The results of this study suggest that the demand-control-support model has great utility in identifying those aspects of the work environment associated with employee strain. Job control and social support at work in particular were the most consistent predictors. In contrast, the expectation and justice variables failed to make significant contributions to the model in all but one analysis providing no support for the “injustice as stressor” perspective.

Research limitations/implications – Although a cross-sectional design was utilized, these results highlight the value of applying the parsimonious demand-control-support model to a wider set of outcomes, especially in a public sector environment.

Practical implications – The results emphasize the importance of the relatively neglected “softer” work characteristics support and control. In order to combat the ill-effects of organisational reforms and prompt a shift towards the public value approach, managers operating under elements of new public management should ensure that adequate social support at work is available and that employee control is commensurate with their demands.

Originality/value – This study examined an augmented demand-control-support model and identified that whilst perceptions of justice can influence employee attitudes and wellbeing, the demand, control, and support variables remain the most influential factors with regard to public sector employee attitudes and wellbeing.

What decision rules might pink-footed geese use to depart on migration? An individual-based model

Decisions taken during migration can have a large effect on the fitness of birds. Migration must be accurately timed with food availability to allow efficient fueling but is also constrained by the optimal arrival date at the breeding site. The decision of when to leave a site can be driven by energetics (sufficient body stores to fuel flight), time-related cues (internal clock under photoperiodic control), or external cues (temperature, food resources). An individual based model (IBM) that allows a mechanistic description of a range of departure decision rules was applied to the spring migration of pink-footed geese (Anser brachyrhynchus) from wintering grounds in Denmark to breeding grounds on Svalbard via 2 Norwegian staging sites. By comparing predicted with observed departure dates, we tested 7 decision rules. The most accurate predictions were obtained from a decision rule based on a combination of cues including the amount of body stores, date, and plant phenology. Decision rules changed over the course of migration with the external cue decreasing in importance and the time-related cue increasing in importance for sites closer to breeding grounds. These results are in accordance with descriptions of goose migration, following the “green-wave”: Geese track the onset of plant growth as it moves northward in spring, with an uncoupling toward the end of the migration if time is running out. We demonstrate the potential of IBMs to study the possible mechanisms underlying stopover ecology in migratory birds and to serve as tools to predict consequences of environmental change.

Model of the conflicts of student work and study

Excessive work demands cause students to have less time available for study, which results in them missing lectures and tutorials. This study seeks a more accurate understanding of why students undertake part-time work to the level that they do. This paper examines the extent of employment of undergraduate students enrolled in property and construction at RMIT University. Students responded to a questionnaire on the duration and nature of their part-time work.

The results of the paper suggest that one of the major issues facing educators is that students themselves believe that part-time employment benefits their long term career. Hence they are reluctant to reduce their work commitment. Past research suggests that there is sufficient evidence that this will create work-study conflicts. The paper concludes by suggesting that some form of work-integrated learning process may benefit both the student’s leaning and their need to obtain work skills.