An occupational view of the Australian labour force - Patterns of job growth and decline

Generally employment has been studied in terms of changes in the types of goods and services that the economy is purchasing. Far less attention has been given to the occupational aggregates that go into producing these goods and services. The few studies that did investigate this area found that the mix of tabour inputs appear to have been changing over time in a systematic pattern. The increasing prevalence of white-collar, information workers gave rise to the assertion that many societies had entered a post-industrial information age. Deals first of aff with some issues of measurement in the context of the Australian labour force, then looks at trends in various occupational groups using a non-standard four-sector classification of the labour force. Finally suggests an application in relation to the link between education and training and its ability to reduce structural unemployment.

Factors influencing job valuation: a comparative study of critical care and mon-critical care nurses

This study sought to identify the relationship between three predictor variables. perceived collaboration with medical staff, autonomy and independent actions and an outcome. the value hospital nurses placed on their work. In total 189 critical care and 366 non-critical care nurses completed a mailed survey. Critical cure nurses perceived themselves to have a mure collaborative relationship with the medical staff. described performing actions independent of medical orders more frequently and perceived their jobs to have more value than non-critical care nurses. However the latter group perceived themselves to have more autonomy in their work. Within both groups collaboration and autonomy were significantly, but weak to moderately correlated with job valuation. Simply expanding the work hospital nurses do is unlikely to result in nurses valuing their jobs more. however promoting an environment of respect and sharing between the medical and nursing staff and supporting nurses when they act in an autonomous fashion may positively influence nurses' perceptions of their work. (C) 2001 Elsevier Science Ltd. All rights reserved.

Autonomy: an important component for nurses' job satisfaction

This quantitative pilot study (n = 178), conducted in a large Brisbane teaching hospital in Australia, found autonomy to be the most important job component for registered nurses' job satisfaction. The actual level of satisfaction with autonomy was 4.6, on a scale of 1 for very dissatisfied to 7 for very satisfied. The mean for job satisfaction was 4.3, with the job components professional status and interaction adding most substantially to the result. There was discontentment with the other two job components, which were Cask requirements and organisational policies. Demographic comparisons showed that nurses who were preceptors had significantly less job satisfaction than the other nurses at the hospital. (C) 2001 Elsevier Science Ltd. All rights reserved.

Global job satisfaction and facet description: The moderating role of facet importance

Recent research support sLocke's (1976) model of facet satisfaction in which the range of affect of objectively defined facet descriptions is moderated by subjective evaluations of facet importance (McFarlin & Rice, 1992). This study examined the utility of Locke's moderated model of face t satisfaction for the prediction of organizationally important global measures of job satisfaction. A large dataset of two groups of workers allowed testing over different time periods and across a broad range of satisfaction measures. The hypothesis derived from Locke's model, that global satisfaction would represent a linear function of facet satisfaction (i.e., facet description x facet importance), was not supported. Instead, a simple (have-want) discrepancy model (operationalized as facet description) provided the most consistent set of predictors. The results suggests that workers, when providing global measures of job satisfaction, may use cognitive heuristics to reduce the complexity of facet description x importance calculations. The implications of these data for Locke's model and directions for future research are outlined.

Do personality factors predict job satisfaction?

Two studies investigated the relationships between personality traits and aspects of job satisfaction. In Study 1, job applicants (n=250) completed the Eysenck Personality Profiler and the Work Values Questionnaire (WVQ), which requires respondents to rate various work-related facets according to the extent to which they contribute to their job satisfaction. These facets were combined into two composites (hygiene and motivator) based on previous research. The three personality superfactors accounted for a small percentage of the variance in importance ratings (about 5%). In Study 2, employees (n=82) completed a measure of the 'Big Five' personality traits and the Job Satisfaction Questionnaire (JSQ), which assesses both what respondents consider as important in their work environment as well as their satisfaction with their current job. Importance ratings were again combined into two composites while job satisfaction ratings were factor analyzed and three factors, differentiated along hygiene versus motivator lines, emerged. Personality traits again accounted for a small percentage of the total variance both in importance ratings and in levels of job satisfaction. It is concluded that personality does not have a strong or consistent influence either on what individuals perceive as important in their work environment or on their levels of job satisfaction. (C) 2002 Published by Elsevier Science Ltd.

Versão resumida da "job stress scale": adaptação para o português

OBJETIVO: Descrever o processo de adaptação, para o português, da versão resumida da "job stress scale", originalmente elaborada em inglês. MÉTODOS: Foram avaliados seis aspectos de equivalência entre a escala original e a versão para o português: as equivalências conceitual, semântica, operacional, de itens, de medidas e funcional. Tomou-se por base um estudo de confiabilidade teste-reteste com 94 indivíduos selecionados. RESULTADOS: O estudo de confiabilidade teste-reteste entre 94 indivíduos permitiu estimativas de reprodutibilidade (coeficientes de correlação intraclasse) para as dimensões de "demanda", "controle" e "apoio social" da escala de 0,88, 0,87 e 0,85, respectivamente. Para as mesmas dimensões, as estimativas de consistência interna (alpha de Cronbach) foram, respectivamente, 0,79, 0,67 e 0,85. CONCLUSÕES: Os resultados sugerem que o processo de adaptação da escala foi bem sucedido, indicando que seu uso no contexto sociocultural da população de estudo (Estudo Pró-Saúde) é apropriado.

Job control, job demands, social support at work and health among adolescent workers

OBJECTIVE: To evaluate physical and psychological dimensions of adolescent labor (such as job demands, job control, and social support in the work environment), and their relation to reported body pain, work injuries, sleep duration and daily working hours. METHODS: A total of 354 adolescents attending evening classes at a public school in São Paulo, Brazil, answered questionnaires regarding their living and working conditions (Karasek's Job Content Questionnaire, 1998), and their health status. Data collection took place in April and May 2001. Multiple logistic regression analysis was used to determine relations among variables. RESULTS: Psychological job demands were related to body pain (OR=3.3), higher risk of work injuries (OR=3.0) and reduced sleep duration in weekdays (Monday to Thursday) (p<0.01). Lower decision authority in the workplace (p=0.03) and higher job security (p=0.02) were related to longer daily working hours. CONCLUSIONS: It was concluded that besides physical stressors, psychological factors are to be taken into account when studying adolescent working conditions, as they may be associated with negative job conditions and health effects.

Sistema múltiplo de apoio à decisão para a programação de sistemas do tipo Job-Shop

Mestrado em Engenharia Electrotécnica e de Computadores

Job phasing aware preemption deferral

Preemptions account for a non-negligible overhead during system execution. There has been substantial amount of research on estimating the delay incurred due to the loss of working sets in the processor state (caches, registers, TLBs) and some on avoiding preemptions, or limiting the preemption cost. We present an algorithm to reduce preemptions by further delaying the start of execution of high priority tasks in fixed priority scheduling. Our approaches take advantage of the floating non-preemptive regions model and exploit the fact that, during the schedule, the relative task phasing will differ from the worst-case scenario in terms of admissible preemption deferral. Furthermore, approximations to reduce the complexity of the proposed approach are presented. Substantial set of experiments demonstrate that the approach and approximations improve over existing work, in particular for the case of high utilisation systems, where savings of up to 22% on the number of preemption are attained.

Job quality in Europe: the North-South divide

This paper examines the job quality in Europe. It is based on the results of the Fourth European Foundation Survey on working conditions covering different dimensions including work organisation, job content, autonomy at work, aspects of worker dignity, working time and work-life balance, working conditions and safety in the workplace. The results point to the existence of great diversity in the job quality across Europe and the north-south divide. The job quality differences are related to the variety of social and institutional contexts. The countries of Southern Europe, with their social and institutional contexts falling within the scope of the Mediterranean model, generally present indicators below the European average contrasting Nordic countries having the best job quality indicators.

A genetic algorithm for the job shop scheduling with a new local search using Monte Carlo method

This paper presents a methodology for applying scheduling algorithms using Monte Carlo simulation. The methodology is based on a decision support system (DSS). The proposed methodology combines a genetic algorithm with a new local search using Monte Carlo Method. The methodology is applied to the job shop scheduling problem (JSSP). The JSSP is a difficult problem in combinatorial optimization for which extensive investigation has been devoted to the development of efficient algorithms. The methodology is tested on a set of standard instances taken from the literature and compared with others. The computation results validate the effectiveness of the proposed methodology. The DSS developed can be utilized in a common industrial or construction environment.