The technological era in which modern day organisations function, attempting to make every aspect of service more efficient and customer friendly, has cultivated a need within organisations to invent new ways of service. Call centres are one way in which organisations are trying to improve their customer service. For this reason, telephone call centres are one of the fastest growing segments of the service sector. The growth in call centres is attributable to the benefits that they offer organisations. Call centres can improve service and retain customers, increase sales and/or revenue and reduce costs and/or improve efficiency. For this reason, organisations are placing an increasing emphasis on the role of call centres regarding the competitiveness of the company and increased pressure on call centre agents. Research indicated that there are certain stressors in the call centre industry. This is emphasised by the high turnover rate and by high absenteeism levels in call centres. Although some studies seem to suggest that working in call centres can be interesting, overall it seems that working in call centres is a stressful experience. The objective of this research was to investigate the relationship between job characteristics, work wellness and work-related flow of call centre agents in an insurance company. A cross-sectional design was used with an availability sample (N = 176). A self-constructed instrument (JDRS) was used to measure the unique job demands and job resources in the insurance industry. Along with the JDRS, the Oldenburg Burnout Inventory, the Utrecht Work Engagement Scale and the Work-Related Flow Scale were used as measuring instruments. Results showed that the unique job demands in a call centre are pressure, working conditions, workload, and job security. The unique job resources are supervision, resources availability, task freedom, pay and benefits, opportunity for growth, and support. Work wellness was found to comprise burnout, work engagement and work-related flow. Multiple regression analysis showed that 6% of the variance in Mental Distance was predicted by Job Demands, with Working Conditions being the only significant predictor. Within Exhaustion, 11% of the variance explained was predicted by Job Demands, with Job Security and Working Conditions being the only significant predictors. No statistically significant predictions were obtained for Work Engagement and Work-Related Flow (i.e. Absorption and Flow). Recommendations were made for future research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

Higher education institutions in South Africa are undergoing transformation because of increasing student numbers, government and the private sector relying on tertiary institutions to assist in solving problems in addition to the globalisation of knowledge. University staff is continuously faced major changes. Immense pressure is placed on academic institutions, including support staff. Support staff are constantly faced with increasing job demands and decreasing job resources. This imbalance and the increase of job stress over a prolonged period of time can lead to the devastating result of burnout. The objective of this study was to investigate the relationship between task characteristics, burnout, health and life satisfaction in a higher education institution in the North West Province. A cross-sectional design was used. The study population (N=334) consisted of support staff members of higher education institutions in the North West Province. The Job Demands-Resources Scale (JDRS), The Maslach Burnout Inventory - GS (MBI-GS), the Health subscale of the ASSET and The Satisfaction with Life Scale (SWLS) were used as measuring instruments. Descriptive statistics (for example, means, standard deviations and kurtosis) were used to analyse the data. Pearson correlations and multiple regression analyses were used to assess the relationships between job demands, job resources, burnout, physical health, psychological health and life satisfaction. The correlation coefficients indicated that exhaustion was positively related to psychological ill-health. Cynicism correlated negatively with growth opportunities. Multiple regression analysis showed that overload and growth opportunities predicted 26% of the variance for exhaustion and 29% of the variance in cynicism. Exhaustion predicted 24% of the variance for physical ill-health and 37% of the variance for psychological ill-health. Psychological ill-health predicted 16% of the variance of life satisfaction. Recommendations for future research and the organisation were made. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Nurses make up the largest group of health workers in South Africa and are likely to play an important role in the transformation of the health sector. Health caregivers, especially those dealing with people suffering h m serious illnesses and those exposed to multiple deaths, are at risk of developing work-related psychological disorders. Furthermore, long working hours, pressure, role clarity and lack of support from colleagues are the four most common work stressors reported. People are constantly faced with the challenge of simultaneously managing multiple roles in their work as well as their home-sphere. It therefore becomes increasingly important to maintain a balance in these two life spheres. Unfortunately, a gap exists between the positive and negative side of work-home interaction as most research focuses on the negative side. It also seems that, despite the importance of work-home interaction of nurses, relatively few studies investigate the role of specific job characteristics and coping strategies that could play a role in negative and positive work-home interaction. The objective of this study was to determine which job characteristics and coping strategies predict negative and positive work-home interaction in the nursing environment. A cross-sectional survey design was used. Stratified random samples (n = 300) were taken of registered nurses in the Johannesburg, Klerksdorp, Krugersdorp, Potchefstroom and Pretoria regions. A self-constructed questionnaire was used to measure job characteristics. The Coping Strategy Indicator (CSI) was used to measure coping strategies, and the 'Survey Work-home Interaction- NijmeGen' (SWING) was used to measure work-home interaction. Exploratory factor analyses and Cronbach alpha coefficients were used to determine the validity and reliability of the questionnaires. Product-moment correlation coefficients were used to determine the relationship between job characteristics, coping and work-home interaction. Multiple regression analyses were used to determine the percentage variance in the dependent variables (e.g. negative and positive WHI) that is predicted by the independent variables (e.g. job characteristics and coping strategies). The results showed that time demands, pressure, role clarity and colleague support are the main job characteristics that predict negative work-home interference. Problem-solving coping was associated with less negative work-home interference, while avoidance coping seems to predict higher levels of negative work-home interference. Time demands, autonomy and role clarity were the main predictors of positive work-home interference. Problem-solving coping was the only coping strategy associated with positive work-home interference. Recommendations were made for further research. / Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

Various occupational stressors like the physical environment, noise, lighting, temperature. aspects of the job, role conflict, workload, lack of career path, poor relationships with peers. and lack of participation arc likely to lead to various stress outcomes, namely behavioural; proneness to accidents, cognitive, inability to make sound decisions, physiological: increased blood pressure, physical and mental health, and organisational: lower productivity, and high turnover rate. These outcomes could however be influenced by moderator variables like age and gender, physiological experience and affective behaviours (type 'A' behaviour, life change, and social support). Studies have also found instances where some workers, exposed 10 the same unbearable work environments, did suffer from neither stress nor burnout. These findings have therefore led to the study of work engagement, which is considered the opposite of burnout. The study of stress, burnout and work engagement has therefore become vehicles through which employees' effectiveness and efficiency can be facilitated. It has become necessary to jointly study stress with burnout and work engagement in a holistic model so as to how a better understanding of work wellness. Burnout and work engagement therefore represent the two aspects of wellness namely, the energy dimension and the identification with work dimension. Studies have identified two underlying dimensions of work wellness in which they identified activation as ranging from exhaustion to vigour, arid identification as ranging from mental distance to dedication. Thus burnout according to them is characterised by a combination of exhaustion (low activation) and mental distance (low identification), while engagement is represented by vigour (high activation) and dedication (high identification). Extreme exhaustion may render employees emotionally and physically drained which may lead them to distance themselves emotionally and cognitively from their work and clients, while an engaged worker develops high levels of energy, and derives a sense of significance, attachment and dedication to work. However, to measure burnout, work engagement, stress, commitment and ill health requires valid and reliable instruments. In South Africa there aren't many systematic studies that have investigated stress, burnout, work engagement, commitment and ill health among civil servants. It is this dearth of well-designed studies in the area that makes this study very important. The objectives of this study were to assess the reliability and validity of the MBI-GS, the UWES, the ASSET, the Job Demands-Resource Scale, Commitment and Ill Health subscales Tor civil servants, determine the occupational stressors that they experience and whether the biographic variables by any way increase or moderate the effects of the stressors, and to finally test a structural model of work wellness consisting of burnout, work engagement, job demands-job resources, ill health, and commitment. The research method for each of the three articles consists of a brief literature review and an empirical study. A cross-sectional survey design was used. An accidental sample (N = 500) for research articles 1, 2 and 3 were targeted from the civil servants in the Mafikeng area of the North West Province of South Africa. The measuring instruments used in this study are; the Maslach Burnout Inventory-General Survey (MBI-GS), Utrecht Work Engagement Scale (UWES), Job Demands and Job Resources Scale (JDRS), Health subscales. Organizational Commitment subscales, the ASSET questionnaire and a biographical questionnaire. Structural equation modelling was used to test the factor structures of the Maslach Burnout Inventory-General Sunley (MBI-GS), and the Utrecht Work Engagement Scale (UWES) respectively. namely exhaustion, cynicism, cognitive weariness, and professional efficacy, and vigour, dedication and absorption. In respect of the MBI-GS, a four-factor model of burnout. consisting of exhaustion (physically drained), cynicism (distancing oneself from colleagues and clients), professional efficacy (feeling of accomplishment) and cognitive weariness (lack of focus on one's work), was found to fit the sample data best in comparison to the three-factor, two-factor and one-factor models. Thus the study established burnout as a bur-dimensional construct. In the case of the UWES a two-factor model of work engagement, consisting of vigour and dedication fined the data best as compared to a three-factor or one-factor model. This means that the UWES is a two-dimensional construct and not a three-factor nor a one-factor dimensional construct. The scales of the MBI-GS, UWES, and the ASSET subscales of work relationships, work life balance, overload, job security, control, resources/communication. aspects of the job, and the stress outcomes of organisational commitment, individual commitment physical health and psychological (un)well-being showed acceptable internal consistencies. There existed no statistically significant differences between burnout, work engagement. the stress dimensions, commitment and ill health respectively and any of the biographical variables. The study found that psychological (un)well-being, is a major stress outcome for the civil servants followed by physical (un)health, respectively. It was discovered that the civil servants generally have low levels of stress, and security was the lowest stressor. Employee commitment was also found to be high. Stress, due to lack of resources, predicted physical ill health and explained 21% of the variance of ill health among the sample of civil servants. Stress relating to aspects of the job and security, predicted psychological ill health and explained 31% of the variance in psychological ill health. Issues relating to control on the job and security predicted organisational and individual commitment respectively and further explained 28% and 20% of organisational commitment and individual commitment. Stress due to lack of job resources, security and aspects of [he job seem to be the most important stressors. Another objective of the study was to find out if energy and identification with work could be predicted from job demands and job resources respectively. It was found that job demands and lack of job resources lead to ill health through burnout, and job resources could lead to commitment via engagement. The implications are that employees who experience excessive workload are likely to experience burnout, which in turn leads to health related problems. Continuous availability of job resources would lead to work engagement, which in turn leads to organisational commitment, while lack of it would lead to burnout. Recommendations for further research were accordingly made. / Thesis (Ph.D. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007

Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Thesis (M.Com. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Thesis (Ph.D. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2007.

Thesis (M.Comm. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2008.