Kommunala förskolan förutsättningarna har förändrats i och med införandet av nya styrformer som brukar sammanfattas under namnet New Public Management. Kraven på de anställda har ökat liksom stress och arbetsrelaterad psykisk ohälsa. Arbetspsykologiska stressmodeller förklarar stress utifrån olika antaganden om obalanser mellan t.ex. krav och resurser eller krav och kontroll. Den här studien syftade till att undersöka konkreta upplevelser av arbetsstress hos förskollärare i den kommunala förskolan. Deltagare var 8 kvinnliga förskollärare från en kommun som utifrån en Critical Incident Technique inspirerad intervjuguide djupintervjuades. Databearbetning genom kvalitativ innehållsanalys identifierade tre teman: förändrade förutsättningar i förskolan, underbemanning och arbete med människor. Resultaten visar att förskollärarnas stress är förknippad med upplevelsen av obalans mellan arbetskrav och otillräckliga resurser. Denna balans mellan krav och resurser beskrivs med hjälp av The JDR Model som innebär att stress uppstår när kraven är för höga i relation till de resurser som finns att tillgå.

Access to clean drinking water is very important to the health and well-being of the population. Mathematical modeling, optimization, and online estimation are needed to solve challenging problems in water network applications such as the requirement to meet the new dynamic regulations in the Safe Drinking Water Act and the Clean Water Act. This includes providing sufficient capacity to satisfy uncertain and changing water demands, maintaining consistent water quality, and identifying and responding to abnormal events. In most of these applications, reliable knowledge of the water flow velocity is necessary. However, in practice, few measurements are usually available. This work uses a nonlinear optimization framework to estimate the unknown water demands and velocities from limited measurements. The problem is formulated as a constrained nonlinear least squares estimation problem. The constraints represent the basic governing mass and energy conservation laws as well as some operational constraints. Given the limited number of flow measurements, the estimation problem is ill-posed. Non-unique solutions may exist in which many demand profiles can match the limited number of measurements. Offline estimates of the demand patterns based on historical data are used to regularize the problem and force a unique solution. In the first phase of this project, a hydraulic model was developed for water distribution systems. This model showed very good agreement when it was validated against the simulator EPANET using 3 case studies. In the second phase, the estimation formulation was tested using the same 3 case studies with different sensor configurations. In each of the case studies, estimation results are reasonable with fewer sensors than the available degrees of freedom.

Academics in South Africa are being confronted with a work environment accumulated with job demands, often without corresponding increases in job resources. Job demands and job resources might affect the levels of work engagement of academics in higher education institutions. Therefore, research is needed regarding work engagement of academics and the relationship thereof with job demands and resources. The objectives of this study were to investigate whether the UWES is a reliable and valid measure of work engagement for academic staff in universities in South Africa and to assess the relationships between work engagement, job demands and job resources. A cross-sectional survey design was used. The study population (N = 471) consisted of academic staff of the following universities: North-West University, University of Port Elizabeth and University of the Orange Free State. The UWES, Job-Demands-Resources Questionnaire and a biographical questionnaire was administered. The reliability and validity of the measuring instruments were assessed with the use of Cronbach alpha coefficients, and exploratory factor analysis. Descriptive statistics (e.g. means and standard deviations) were used to analyse the data. Pearson correlations and multiple regression analyses were used to assess the relationships between job demands, job resources and work engagement. Principal component analysis resulted in a one-factor model of work engagement, consisting of Vigour/Engagement. This factor showed an acceptable alpha coefficient. Regarding the Job Demands-Resources Scale, five reliable factors were extracted, namely Organisational Support, Growth Opportunities, Communion, Overload and Job Insecurity. The correlation coefficients indicated that engagement is positively related to growth opportunities, organisational support and communion. A regression analysis with engagement as dependent variable indicated that organisational support and growth opportunities in the job were the best predictors of work engagement. Job resources predicted 46% of the variance in work engagement, but only two job resources, namely organisational support and growth opportunities showed statistically significant regression coefficients. Recommendations for future research are made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

<p>The study aimed to examine how motherhood is constructed by married working mothers and the impact thereof on their working lives. This qualitative study explored the individual experiences of 7 working married mothers with preschool aged children who reside in the Western Cape, South Africa. Individual semi-structured interviews were&nbsp / onducted and analysed using thematic analysis. The study was situated within a social constructionist theoretical framework which holds that it is through our interactions with others that we create, maintain and verify our ideas and perceptions of the world. The literature revealed that despite the advances made by women in society, the notion that women are still the primary nurturers and care-givers is still in existence. This view is largely dictated by the social and cultural expectations in society and further perpetuated by images portrayed in the media. The results of this study revealed that the social and cultural context of the participants holds a view of motherhood that is gendered, comprises ideals of a caring, nurturing and ever-giving mother and links motherhood to womanhood and the female identity.</p>

In healthy organisations, employee well-being is coexistent with efficient and effective work organisations. Improving employee wellbeing is therefore of significant importance for organisational performance. This study draws on the Job Demands-Resources model which suggests that the balance between job demands and resources impacts on individual well-being. Using an on-line survey (N=162) this study investigated the direct and indirect relationships between job demands, engagement and drive on work-life conflict and well-being. In general, the findings of this study are consistent with the JD-R model; job demands predicted work-life conflict, while the strongest predictor of well-being was the job resource of work engagement. Further, once indirect relationships were considered, it was found that engagement, a construct generally associated with positive outcomes, and overtime hours lead to psychological detachment issues for employees; consequently contributing to their work-life conflict. In addition, work-life conflict was found to mediate the relationships between the job demands of external work pressures and drive and wellbeing, suggesting that being pressured to put one’s work before their other interests and having an excessive work-drive contribute to reduced employee well-being. The unique contribution of this study lies in the assertion that while engagement has positive influence on employee and organisational outcomes, it is important that organisations and individuals ensure that work does not cause a negative spillover into employees’ private life, enabling them to recover after work and be ready for the next day’s challenges. The findings are discussed in terms of their theoretical and practical implications.

Academics in South Africa are being confronted with a work environment accumulated with job demands, often without corresponding increases in job resources. Job demands and job resources might affect the levels of work engagement of academics in higher education institutions. Therefore, research is needed regarding work engagement of academics and the relationship thereof with job demands and resources. The objectives of this study were to investigate whether the UWES is a reliable and valid measure of work engagement for academic staff in universities in South Africa and to assess the relationships between work engagement, job demands and job resources. A cross-sectional survey design was used. The study population (N = 471) consisted of academic staff of the following universities: North-West University, University of Port Elizabeth and University of the Orange Free State. The UWES, Job-Demands-Resources Questionnaire and a biographical questionnaire was administered. The reliability and validity of the measuring instruments were assessed with the use of Cronbach alpha coefficients, and exploratory factor analysis. Descriptive statistics (e.g. means and standard deviations) were used to analyse the data. Pearson correlations and multiple regression analyses were used to assess the relationships between job demands, job resources and work engagement. Principal component analysis resulted in a one-factor model of work engagement, consisting of Vigour/Engagement. This factor showed an acceptable alpha coefficient. Regarding the Job Demands-Resources Scale, five reliable factors were extracted, namely Organisational Support, Growth Opportunities, Communion, Overload and Job Insecurity. The correlation coefficients indicated that engagement is positively related to growth opportunities, organisational support and communion. A regression analysis with engagement as dependent variable indicated that organisational support and growth opportunities in the job were the best predictors of work engagement. Job resources predicted 46% of the variance in work engagement, but only two job resources, namely organisational support and growth opportunities showed statistically significant regression coefficients. Recommendations for future research are made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

Nurses of today have many more responsibilities and duties they must cope with. With the HIV and AIDS numbers rising in South Africa it is important that the morale of nurses be kept healthy. The strain of their work environment can be hard to cope with, so it is necessary that nurses learn how to manage their emotions when working in order to avoid burnout and disengagement from happening. and to make better use of job resources. The objective of this research is to determine the relationship between emotional intelligence, job characteristics. burnout and engagement within the nursing environment in South Africa. A cross-sectional survey design was used. A non-probability convenience sample was taken from 511 nurses in hospitals and clinics in the Gauteng- and North-West Provinces. The Emotional Intelligence Scale, Maslach Burnout Inventory) - Human Services Survey, Utrecht Work Engagement Scale and Work Evaluation Scale were used as measuring instruments. Cronbach alpha coefficients. Pearson-product correlation coefficients and Spearman-product correlation coefficients were used to analyse the data. The results showed that positive state is positively related to vigour/dedication, professional efficacy. own emotions: emotions: other and emotional management. Own emotions and emotional management also correlated positively with professional efficacy and emotions: other. Workload and communication demands are positively related to payment, emotional labour, work environment and emotional exhaustion. The results also identified emotional exhaustion and mental exhaustion to be negatively related to vigour/dedication. while emotional exhaustion is positively related to mental exhaustion, job security, and staff support. Payment correlates positively with staff support, while emotional labour and overtime are positively related to work environment. The proposed structural model show that there are clear paths between job demands and job resources; job demands. emotional intelligence and work wellness; job resources, emotional intelligence and work wellness: job demands and burnout; and job resources and work wellness. Recommendations were made for the nursing profession and for future research purposes. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

Over the last decade, numerous changes have occurred in the insurance industry due to international expansions and stiff competitiveness. As a result of these changes, employees are suffering from stressful work conditions such as pressure to perform and work-life conflict, which lead to feelings of distrust, tension, strain in interpersonal relations, interpersonal conflict and difficulty in coping with pressure to perform. Tracking and addressing the work wellness of these employees are important to improve their work-related performance, as well as the quality of their service. Burnout, work engagement and workaholism are focal points in this regard. In order to measure these constructs it is important to have valid and reliable instruments. However, there is a lack of research which measures burnout, engagement and workaholism in the South African context. The objective of this study was to determine the relationship between burnout, work engagement and workaholism amongst employees in the insurance industry. The research method consisted of a brief literature review and an empirical study. A cross-sectional design was used. An availability sample (N = 153) from employees in the insurance industry was taken. The Oldenburg Burnout Inventory (OLBI), Utrecht Work Engagement Scale (UWES), an adapted version of the Work Addiction Risk Test (AWART), and a biographical questionnaire were administered. The statistical analysis was conducted with the aid of the SPSS program and AMOS program. The statistical method employed in the study consisted of descriptive statistics, Cronbach alpha coefficients, Pearson product-moment correlation coefficients and a structural equation modelling method. Multivariate analysis of variance (MANOVA) was used to determine the significance of differences of workaholism between demographic groups. It was evident in this study that employees in the insurance industry experience workaholism due to their tendency to work long hours overtime, to work weekends and to take work home. Results indicated that work wellness of employees in the insurance industry does comprise well-being (Burnout and Work Engagement) and Workaholism. Recommendations for future research were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

In the new world economy the hey differentiator of competitive advantage is an organisation's human resources. Increasingly, employees have to cope with multiple demands arising from various roles. often with limited resources and no guarantee of job security. In monitoring and improving employee effectiveness in coping with multiple new demands. stimulating their growth and enhancing their well-being as well as organisational performance, burnout and engagement are specific research areas. 'The objectives of this study were to investigate the relationships between burnout, engagement, job demands. job resources and organisational commitment of management staff at a platinum mine in the North-West Province, and to determine which variables best predict burnout, engagement and organisational commitment. A cross-sectional survey design was used. The study population consisted of management staff at a platinum mine in the North West Province (N = 202). The Job Demands-Resources Scale, Utrecht Work Engagement Scale: Maslach Burnout Inventory - General Survey. a Health Questionnaire, and an Organisational Commitment scale were administered. Descriptive statistics, product-moment correlation coefficients and multiple regression analyses were used to analyse the data. The results indicated that burnout correlated significantly with job demands, job resources. engagement, health and organisational commitment. Engagement. correlated significantly with job resources. health, and organisational commitment. Exhaustion was best predicted by workload. job insecurity and lack of resources whilst cynicism was predicted by poor organisational support and advancement opportunities. Engagement was best predicted by organisational support. and organisational commitment was predicted by both burnout and engagement. Ill health was predicted by exhaustion. Recommendations were made for future research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2006.

The mining industry has been the bedrock of South African economy for more than a century, making an important contribution to employment opportunities, the gross domestic product and export earnings in the South African economy. Globally the mining industry is faced with a shortage of qualified talent to meet its production needs. Every year there are more people leaving than entering the mining industry to pursue job and career opportunities. The mining industry has to focus a lot on safety and health, training and development programmes, team building initiatives, and the recruitment and retention of affirmative action candidates in order to retain their valued staff. The mining industry also has to achieve production targets while at the same time assure that its employees are safe and happy workers. Therefore happy, productive and motivated employees are an important contributor to the stability and development within the mining industry. The objective of this study was to determine the relationship between job demands, job resources, burnout and engagement of employees in the mining industry. The research method consisted of a literature review and an empirical study. A cross-sectional survey design was used to collect the data. An availability sample (JV=199) from employees in the mining industry was taken. The Job Demands and Resources Scale (JDRS) (was used to measure job demands and job resources), the Utrecht Work Engagement Scale (was used to measure engagement) and the Oldenburg Burnout Inventory (was used to measure burnout). Descriptive statistics, product-moment correlation coefficients and multiple regression analyses were used to analyse the data. The statistical analysis was carried out with the help of the SPSS programme. The results of this study indicated that job resources, namely organisational support (including the relationship with superiors, role clarity, information, communication, and participation) are positively related to growth opportunities (including variety, opportunities to learn, and autonomy), advancement and social support. Multiple regression analysis showed that the best predictors of engagement were organisational support, growth opportunities and work-life balance. The best predictors of disengagement were lack of resources, including growth opportunities and social support, and demands of overload and a lack of work-life balance. The predictors of burnout were overload and a lack of advancement opportunities Recommendations for future research are made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2009.