148 resultados para The job network


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Purpose : The current study examined whether several factors related to the job and demographic profile of police officers are associated with adherence to best-practice guidelines when interviewing children.

Method : One hundred and seventy-eight police officers completed a standardized (simulated) interview regarding an allegation of abuse by a 5-year-old child. Immediately prior to this interview, details were obtained from the officers' regarding their job status, gender, interview experience, the timing and nature of prior training/supervision, and experience outside the policing profession with young children.

Results : The results showed that timing of training was the only factor that related to interview performance. The proportion of open-ended questions among participants who completed their interviewer training course less than 1 month prior to the simulated interview was better than those who completed the training earlier. Interestingly, the performance of the latter group was identical to that of a group of participants who had not yet received any formal interview training. The implications of the findings are discussed, along with directions for future research.

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Generic models of job stress, such as the Job Strain Model (JSM), have recently been criticised for focusing on a small number of general work characteristics while ignoring those that are occupation-specific (Sparks & Cooper, 1999). However this criticism is based on limited research that has not examined the relative influence of all three dimensions of the JSM - job demand, job control and social support - and job-specific stressors. The JSM is the most commonly used model underpinning large-scale occupational stress research (Fox, Dwyer, & Ganster, 1993) and is regarded as the most influential model in the research on the psycho-social work environment, stress and disease in recent times (Kristensen, 1995). This thesis addresses the lack of information on the relative influence of the JSM and job-specific stressors by assessing the capacity of an augmented JSM to predict the strain experienced by managers and professional Australian footballers. The augmented JSM consisted of job-specific stressors in addition to the generic components of the model. Managers and professional Australian footballers represent two very different occupational groups. While the day-today roles of a manager include planning, organising, monitoring and controlling (Carroll & Gillen, 1987), the working life of a professional Australian footballer revolves around preparing for and playing football (Shanahan, 1998). It was expected that the large differences in the work undertaken by managers and professional Australian footballers would maximise the opportunities for identifying job-specific stressors and measuring the extent that these vary from one group to the next. The large disparity between managers and professional footballers was also used to assess the cross-occupational versatility of the JSM when it had been augmented by job-specific stressors. This thesis consisted of three major studies. Study One involved a survey of Australian managers, while studies Two and Three focused on professional Australian footballers. The latter group was under-represented in the literature, and as a result of the lack of information on the stressors commonly experienced by this group, an in-depth qualitative study was undertaken in Study Two. The results from Study Two then informed the survey of professional footballers that was conducted in Study Three. Contrary to previous research examining the relative influence of generic and job-specific stressors, the results only provided moderate support for augmenting the JSM with job-specific stressors. Instead of supporting the versatility of the augmented JSM, the overall findings reinforced the broad relevance of the original JSM. Of the four health outcomes measured in Studies One and Three, there was only one - the psychological health of professional Australian footballers - where the proportion of total variance explained by job-specific stressors exceeded 13%. Despite the generally strong performance of the JSM across the two occupational groups, the importance of demand, control and support diminished when examining the less conventional occupation of professional football. The generic model was too narrow to capture the highly specific work characteristics that are important for this occupational group and, as a result, the job-specific stressors explained significantly more of the strain over and above that already provided by the generic model. These findings indicate that when investigating the stressors experienced by conventional occupational groups such as managers, the large amount resources required to identify job-specific stressors are unlikely to be cost-effective. In contrast, the influence of the more situation specific stressors is significantly greater in unconventional occupations and thus the benefits of identifying these non-generic stressors are more likely to outweigh the costs. Studies One and Three identified strong connections between job-specific stressors and important characteristics of the occupation being studied. These connections were consistent with previous research and suggest that before attempting to identify job-specific stressors, researchers need to first become familiar with the nature and context of the occupation. The final issue addressed in this thesis was the role of work and non-work support. The findings indicate that the support provided by supervisors and colleagues was a significant predictor of wellbeing for both managers and professional footballers. In contrast, the level of explained strain accounted for by non-work support was not significant. These results indicate that when developing strategies to protect and enhance employee well-being, particular attention should be given to monitoring and, where necessary, boosting the effectiveness of work-based support. The findings from this thesis have been fed back to the management and sporting communities via conference presentations and peer-reviewed journals (refer pp 220-221). All three studies have been presented at national and international conferences and, overall, were well received by participants. Similarly, the methods, results and major findings arising from Studies One and Two have been critiqued by anonymous reviewers from two international journals. These papers have been accepted for publication in 2001 and 2002 and feedback from the reviewers indicates that the findings represent a significant and unique contribution to the literature. The results of Study Three are currently under review by a sports psychology journal.

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Castells argues that society is being reconstituted according to the global logic of networks. This paper discusses the ways in which a globalised network logic transforms the nature of young people’s transitions from school to work. Furthermore, the paper explores the ways in which this network logic restructures the manner in which youth transitions are managed via the emergence of a Vocational Education and Training (VET) agenda in Australian post compulsory secondary schooling. It also notes the implications of the emergence of thenetwork society’ for locality generally and for selected localities specific to the research upon which this paper is based. It suggests that schools represent nodes in a range of VET and other networks, and shows how schools and other agencies in particular localities mobilise their expertise to construct such networks. These networks are networked, funded and regulated at various levels—regionally, nationally and globally. But, they are also facilitated by personal networking opportunities and capacities. The paper also points to the ways in which the ‘refexivity chances’ of young people are shaped by this network logic—a situation that generates new forms of responsibility, for schools and teachers, with regard to the management of youth transitions.

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An understanding of the physical hydrogel network formation has been obtained by dynamic rheological experiments. The evidence shows that the network formation turns out to be a nucleation-controlled process. It was found that there exists a critical temperature Tc; fiber branching is greatly enhanced when the network formation is performed in the regime of T<Tc (T, the final setting temperature). This finding enables the authors to build significantly enhanced gel networks. So far G′ (elastic modulus) of the hydrogel network has been enhanced by 187% while the formation period can be greatly shortened to only 1/20 of the previous process.

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Three-dimensional fiber networks were created from an organogel system consisting mainly of elongated fibrils by using a nonionic surfactant as an additive. The presence of the surfactant molecules manipulates the network structure by enhancing the mismatch nucleation on the growing fiber tips. Both the fiber network structure and the rheological properties of the material can be finely tuned by changing the surfactant concentration, which provides a robust approach to the engineering of supramolecular soft functional materials.

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The increasing research interest on stakeholder analysis in urban planning reflects a growing recognition that stakeholders can and should influence the decision-making. This paper concentrates on exploring the techniques for analysing stakeholders, especially the application of the Stakeholder Circle tool and Social Network Analysis. An urban renewal project and an infrastructure project in Australia are presented as case studies to verify the use of these two techniques. The stakeholders are identified and prioritized from two different points of view, namely, the attribute evaluations in the Stakeholder Circle tool, and the relationship network analysis. The paper ends with a discussion on the strengths and limitations of the techniques for stakeholder analysis. No method for stakeholder identification and prioritization is perfect. The selection of the approaches is an art with extensive considerations of ‘when, what, and how’ to choose methods to achieve the project objectives. Each method has its own strengths and limitations. Combining several methods when necessary is the best way to analyse stakeholders.

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In this paper, the effectiveness of three different operating strategies applied to the Fuzzy ARTMAP (FAM) neural network in pattern classification tasks is analyzed and compared. Three types of FAM, namely average FAM, voting FAM, and ordered FAM, are formed for experimentation. In average FAM, a pool of the FAM networks is trained using random sequences of input patterns, and the performance metrics from multiple networks are averaged. In voting FAM, predictions from a number of FAM networks are combined using the majority-voting scheme to reach a final output. In ordered FAM, a pre-processing procedure known as the ordering algorithm is employed to identify a fixed sequence of input patterns for training the FAM network. Three medical data sets are employed to evaluate the performances of these three types of FAM. The results are analyzed and compared with those from other learning systems. Bootstrapping has also been used to analyze and quantify the results statistically. [ABSTRACT FROM AUTHOR].

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In this paper, the Fuzzy ARTMAP (FAM) neural network is used to classify metal detector signals into different categories for automated target discrimination. Feature extraction of the metal detector signals is conducted using a wavelet transform technique. The FAM neural network is then employed to classify the extracted features into different target groups. A series of experiments using individual FAM networks and a voting FAM network is conducted. Promising classification accuracy rates are obtained from using individual and voting FAM networks, respectively. The experimental outcomes positively demonstrate the effectiveness of the generated features, and of the FAM network in classifying metal detector signals for automated target discrimination tasks.

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In this paper, typing biometrics is applied as an additional security measure to the password-based or Personal Identification Number (PIN)-based systems to authenticate the identity of computer users. In particular, keystroke pressure and latency signals are analyzed using the Fuzzy Min-Max (FMM) neural network for authentication purposes. A special pressure-sensitive keyboard is designed to collect keystroke pressure signals, in addition to the latency signals, from computer users when they type their passwords. Based on the keystroke pressure and latency signals, the FMM network is employed to classify the computer users into two categories, i.e., genuine users or impostors. To assess the effectiveness of the proposed approach, two sets of experiments are conducted, and the results are compared with those from statistical methods and neural network models. The experimental outcomes positively demonstrate the potentials of using typing biometrics and the FMM network to provide an additional security layer for the current password-based or PIN-based methods in authenticating the identity of computer users.

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Purpose – Worker well-being continues to be fundamental to the study of work and a primary consideration for how organizations can achieve competitive advantage and sustainable and ethical work practices (Cartwright and Holmes; Harter, Schmidt and Keyes; Wright and Cropanzano). The science and practice of employee engagement, a key indicator of employee well-being, continues to evolve with ongoing incremental refinements to existing models and measures. This study aims to elaborate the Job Demands-Resources model of work engagement (Bakker and Demerouti) by examining how organizational, team and job level factors interrelate to influence engagement and well-being and downstream outcome variables such as affective commitment and extra-role behaviour.

Design/methodology/approach – Structural equations modelling of survey data obtained from 3,437 employees of a large multi-national mining company was used to test the important direct and indirect influence of organizational focused resources (a culture of fairness and support), team focused resources (team climate) and job level resources (career development, autonomy, supervisor support, and role clarity) on employee well-being, engagement, extra-role behaviour and organizational commitment.

Findings – The fit of the proposed measurement and structural models met criterion levels and the structural model accounted for sizable proportions of the variance in engagement/wellbeing (66 percent), extra-role-behaviour (52 percent) and commitment (69 percent).

Research limitations/implications –
Study limitations (e.g. cross-sectional research design) and future opportunities are outlined.

Originality/value – The study demonstrates important extensions to the Job Demands-Resources model and provides researchers and practitioners with a simple but powerful motivational framework, a suite of measures, and a map of their inter-relationships which can be used to help understand, develop and manage employee well-being and engagement and their outcomes.

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In this paper, an application of the motor current signature analysis (MCSA) method and the fuzzy min–max (FMM) neural network to detection and classification of induction motor faults is described. The finite element method is employed to generate simulated data pertaining to changes in the stator current signatures under different motor conditions. The MCSA method is then used to process the stator current signatures. Specifically, the power spectral density is employed to extract harmonics features for fault detection and classification with the FMM network. Various types of induction motor faults, which include stator winding faults and eccentricity problems, under different load conditions are experimented. The results are analyzed and compared with those from other methods. The outcomes indicate that the proposed technique is effective for fault detection and diagnosis of induction motors under different conditions.

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A compression cell designed to fit inside an NMR spectrometer was used to investigate (i) the in situ dynamic strain response and structural changes of the internal pore network, and (ii) the diffusion and flow of interstitial water, in full thickness cartilage samples as they were mechanically deformed under a constant compressive load (pressure) and then allowed to recover (swell again) when the load was removed. Selective enzymatic digestion of the collagen fibril network and the glycopolysaccharide hyaluronic acid (HA) was performed to mimic some of the structural and compositional changes associated with osteoarthritis. Digestion of collagen gave rise to mechanical ‘dynamic softening’ and—perhaps more importantly—nearly complete loss in the ability to recover through swelling, both effects due to the disruption of the hierarchical structure and fibril interconnectivity in the collagen network which adversely affects its ability to deform reversibly and to properly regulate the pressurization and resulting rate and direction of interstitial fluid flow. In contrast, digestion of HA inside the collagen pore network caused the cartilage to ‘dynamically stiffen’ which is attributed to the decrease in the osmotic (entropic) pressure of the digested HA molecules confined in the cartilage pores that causes the network to contract and thereby become less permeable to flow. These digestioninduced changes in cartilage’s properties reveal a complex relationship between the molecular weight and concentration of the HA in the interstitial fluid, and the structure and properties of the collagen fibril pore network, and provide new insights into how changes in either could influence the onset and progression of osteoarthritis.

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The period of interest for this report is the beginning of 2011 to the end of 2012. The period commenced when the Regional Network Leader of the Barwon South Network of schools in the Barwon South Region of the Department of Education and Early Childhood contacted the School of Education at Deakin University, Waurn Ponds Campus Geelong. The Regional Network Leader outlined a desire to engage with Deakin University to research a short-term-cycle model of school improvement to be implemented in the region. While the model was expected to be taken on by all schools in the region the research was limited to the 23 schools in the Barwon South Network with four schools to be investigated more closely for each of two years (2001 & 2012) – eight focus schools in total.

Many positive outcomes flowed from the implementation of short-term-cycle school improvement plans and their associated practices but there was wide variation in the nature and degrees of success and of the perception of the process. The research team asked the following questions of the data:

1. What aspects of the School Improvement Plan (SIP) approach were important for initiating and supporting worthwhile change?
2. What might we take from this, to provide guidance on how best to support change in teaching and learning processes in schools?

The School Improvement Plan (SIP) worked in a range of ways. At one level it was strongly focused on school leadership, and a need to improve principals’ capacity to initiate worthwhile teaching and learning processes in their schools. Underlying this intent, one might think an assumption is operation is that the leadership process involves top down decision-making and a willingness to hold staff accountable for the quality of their practice.

The second strong focus was on the translation into practice and the consequent effect on student learning, involving an emphasis on data and evidence led practice. Hence, along with the leadership focus there was a demand for the process of school improvement to reach down into students and classrooms. Thus, the SIP process inevitably involved a chain of decision-making by which student learning quality drove the intervention, and teachers responsible for this had a common view. The model therefore should not be seen as an intervention only on the principal, but rather on the school decision-making system and focus. Even though it was the principal receiving the SIP planning template, and reporting to the network, the reporting was required to include description of the operation of the school processes, of classroom processes, and of student learning. This of course placed significant constraints on principals, which may help explain the variation in responses and outcomes described above.

The findings from this study are based on multiple data sources: analysis of both open and closed survey questions which all teachers in the 23 schools in the network were invited to complete; interviews with principals, teachers and leaders in the eight case study schools; some interviews with students in the case study schools; and interviews with leaders who worked in the regional network office; and field notes from network meetings including the celebrations days. Celebrations days occurred each school term when groups of principals came together to share and celebrate the improvements and processes happening in their schools. Many of the themes emerging from the analysis of the different data sources were similar or overlapping, providing some confidence in the evidence-base for the findings.

The study, conducted over two years of data collection and analysis, has demonstrated a range of positive outcomes in at the case study schools relating to school communication and collaboration processes, professional learning of principals, leadership teams and classroom teachers. There was evidence in the survey responses and field notes from ‘celebration days’ that these outcomes were also represented in other schools in the network. The key points of change concerned the leadership processes of planning for improvement, and the rigorous attention to student data in framing teaching and learning processes. This latter point of change had the effect of basing SIP processes on a platform of evidence-based change. The research uncovered considerable anecdotal and observational evidence of improvements in student learning, in teacher accounts in interview, and presentations of student work. Interviews with students, although not as representative as the team would have liked, showed evidence of student awareness of learning goals, a key driver in the SIP improvement model. It was, however, not possible over this timescale to collect objective comparative evidence of enhanced learning outcomes.

A number of features of the short-term-cycle SIP were identified that supported positive change across the network. These were: 1) the support structures represented by the network leader and support personnel within schools, 2) the nature of the SIP model – focusing strongly on change leadership but within a collaborative structure that combined top-down and bottom-up elements, 3) the focus on data-led planning and implementation that helped drill down to explicit elements of classroom practice, and 4) the accountability regimes represented by network leader presence, and the celebration days in which principals became effectively accountable to their peers. We found that in the second year of the project, momentum was lost in the case study schools, as the network was dismantled. This raised issues also for the conduct of research in situations of systemic change.

Alongside the finding of evidence of positive outcomes in the case study schools overall, was the finding that the SIP processes and outcomes varied considerably across schools. A number of contextual factors were identified that led to this variation, including school histories of reform, principal management style, and school size and structure that made the short-term-cycle model unmanageable. In some cases there was overt resistance to the SIP model, at least in some part, and this led to an element of performativity in which the language of the SIP was conscripted to other purposes. The study found that even with functioning schools the SIP was understood differently and the processes performed differently, raising the question of whether in the study we are dealing with one SIP or many. The final take home message from the research is that schools are complex institutions, and models of school improvement need to involve both strong principled features, and flexibility in local application, if all schools’ interests in improving teaching and learning processes and outcomes are to be served.

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Issue addressed: Job stress has been linked to a wide range of adverse effects on mental, physical, and organisational health. Despite the evidence that systems approaches are most effective in reducing the adverse impact of job stress, prevalent practice is dominated by worker- or individual-focused strategies in the absence of commensurate intervention on working conditions. Methods: A literature review and cross-disciplinary conceptual synthesis were combined in the articulation of a systems approach to job stress. Results: An outline of the job stress process is followed by explanation of how a systems approach addresses the various steps in the stress process. Systems approaches to job stress emphasise primary prevention or focusing on stressors as the upstream determinants of job stress. Additionally, systems approaches integrate primary with worker-directed secondary and illness-directed tertiary intervention, include the meaningful participation of groups targeted by intervention, and are context- sensitive. Systems approach intervention principles are illustrated by concrete examples of intervention strategies and activities. Conclusions: Further efforts are needed to promote, disseminate, implement, and evaluate systems approaches to job stress and to improve cross-disciplinary cooperation in this effort. (author abtract)

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Issue addressed: Job stress has been linked to a wide range of adverse effects on mental, physical, and organisational health. Despite the evidence that systems approaches are most effective in reducing the adverse impact of job stress, prevalent practice is dominated by worker- or individual-focused strategies in the absence of commensurate intervention on working conditions. Methods: A literature review and cross-disciplinary conceptual synthesis were combined in the articulation of a systems approach to job stress. Results: An outline of the job stress process is followed by explanation of how a systems approach addresses the various steps in the stress process. Systems approaches to job stress emphasise primary prevention or focusing on stressors as the upstream determinants of job stress. Additionally, systems approaches integrate primary with worker-directed secondary and illness-directed tertiary intervention, include the meaningful participation of groups targeted by intervention, and are context- sensitive. Systems approach intervention principles are illustrated by concrete examples of intervention strategies and activities. Conclusions: Further efforts are needed to promote, disseminate, implement, and evaluate systems approaches to job stress and to improve cross-disciplinary cooperation in this effort.