Higher education in a democratic South Africa faces huge challenges – primarily the need to achieve greater equity, efficiency and effectiveness in institutions and across the system. Universities had to open their doors to students of all races, transform curricula to become more locally relevant, and produce scholars able to address South Africa’s problems. When organisations face these changes, they still need to support their employees. They need to ensure that the employees feel secure in their employment to improve their commitment to the organisation. The objective of this study was to investigate the perceived organisational support and organisational commitment of academics in South Africa. A cross-sectional survey design was used. A non-probability convenience sample was taken from a higher education institution in South Africa (N=388).The Survey of Perceived Organisational Support (SPOS) and Allen and Meyer’s Organisational Commitment Scale were administered.Cronbach alpha coefficients, Spearman product correlation coefficients, MANOVAs (to determine differences in demographic groups) and multiple regression analyses were used to analyse the data. Principal component analysis resulted in a two-factor model for perceived organisational support, namely positive support and negative support. Regarding organisational commitment, a two-factor model was also extracted, namely affective commitment and continuance commitment. The results attained from the product-moment correlations indicated that positive support has a negative relationship with negative support. Positive support is also practically significantly related to affective commitment and continuance commitment. A MANOVA analysis was conducted to determine the differences in levels of POS experienced with regard to staff, ethnicity, language, faculty and gender. The results indicated that no significant differences were found in the levels of POS experienced with regard to staff and gender. Statistically significant differences were found between levels of negative support with regard to ethnicity, language and faculties. Statistically significant differences were found between levels of positive support of staff in different faculties. MANOVA was also used to determine differences between staff with regard to commitment levels. Statistically significant differences were found between levels of continuance commitment. Support staff experience higher levels of continuance commitment than academic staff do. Multiple regression analyses indicated that positive support predicted 9% of the variance in affective organisational commitment and 18% of the variance in continuance commitment. Recommendations were made for future research. / MCom (Human Resource Management), North-West University, Potchefstroom Campus, 2014

Higher education in a democratic South Africa faces huge challenges – primarily the need to achieve greater equity, efficiency and effectiveness in institutions and across the system. Universities had to open their doors to students of all races, transform curricula to become more locally relevant, and produce scholars able to address South Africa’s problems. When organisations face these changes, they still need to support their employees. They need to ensure that the employees feel secure in their employment to improve their commitment to the organisation. The objective of this study was to investigate the perceived organisational support and organisational commitment of academics in South Africa. A cross-sectional survey design was used. A non-probability convenience sample was taken from a higher education institution in South Africa (N=388).The Survey of Perceived Organisational Support (SPOS) and Allen and Meyer’s Organisational Commitment Scale were administered.Cronbach alpha coefficients, Spearman product correlation coefficients, MANOVAs (to determine differences in demographic groups) and multiple regression analyses were used to analyse the data. Principal component analysis resulted in a two-factor model for perceived organisational support, namely positive support and negative support. Regarding organisational commitment, a two-factor model was also extracted, namely affective commitment and continuance commitment. The results attained from the product-moment correlations indicated that positive support has a negative relationship with negative support. Positive support is also practically significantly related to affective commitment and continuance commitment. A MANOVA analysis was conducted to determine the differences in levels of POS experienced with regard to staff, ethnicity, language, faculty and gender. The results indicated that no significant differences were found in the levels of POS experienced with regard to staff and gender. Statistically significant differences were found between levels of negative support with regard to ethnicity, language and faculties. Statistically significant differences were found between levels of positive support of staff in different faculties. MANOVA was also used to determine differences between staff with regard to commitment levels. Statistically significant differences were found between levels of continuance commitment. Support staff experience higher levels of continuance commitment than academic staff do. Multiple regression analyses indicated that positive support predicted 9% of the variance in affective organisational commitment and 18% of the variance in continuance commitment. Recommendations were made for future research. / MCom (Human Resource Management), North-West University, Potchefstroom Campus, 2014

Education is essential in providing future human capital that is much needed to build a sustainable, competitive economy. However, the importance of a quality education is often underestimated. In order to enhance working conditions of educators, it seems essential to investigate the role of the positive psychology paradigm by means of developing teachers’ areas of deficiencies and capitalising on their strengths in order for them to reach their full potential and flourish. The current study aimed to adapt and validate the recently developed Strengths Use and Deficit Improvement Questionnaire (SUDIQ) in an attempt to make it suitable for educators. The general objective of this research study was to establish the psychometric properties of the SUDIQ by means of confirmatory factor analysis (CFA), convergent, discriminant and empirical validity. A cross-sectional field survey design and a convenience sample of educators from several educational institutions in the Gauteng Province (N = 502) was utilised to gather the data. CFA was used to test the factorial validity of the adapted SUDIQ scale. In order to prove convergent and discriminant validity, the relationships between the SUDIQ dimensions and similar theoretical constructs (job resources, strengths use, psychological capital, proactive behaviour and person-job fit) as well as constructs postulated to be unrelated to the SUDIQ dimensions (age and education) were determined. Finally, the relationship between the SUDIQ dimensions with vigour, dedication, emotional exhaustion and depersonalisation was determined by using multiple regression analysis. The results confirmed that the SUDIQ comprised a four-factor structure. These four factors were perceived organisational support for strengths use, perceived organisational support for deficit improvement, proactive behaviour towards strengths use and proactive behaviour towards deficits improvement. These dimensions were positively related to the scales such as the strengths use scale, autonomy, supervisor and colleague support, psychological capital, proactive behaviour, and person-job fit. Anticipated perceived organisational support for deficit improvement and proactive behaviour towards strengths use and proactive behaviour towards deficit improvement were unrelated to age. The scales were also relatively weakly related to education. Furthermore, the results revealed that perceived organisational support for strengths use, proactive behaviour towards strengths use and proactive behaviour towards deficit improvement were significant predictors of both vigour and dedication. However, it was found that the only SUDIQ dimension that predicted emotional exhaustion and depersonalisation was proactive behaviour toward strengths use. Recommendations were made to be applied in practice, as well as for future research. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2014

Education is essential in providing future human capital that is much needed to build a sustainable, competitive economy. However, the importance of a quality education is often underestimated. In order to enhance working conditions of educators, it seems essential to investigate the role of the positive psychology paradigm by means of developing teachers’ areas of deficiencies and capitalising on their strengths in order for them to reach their full potential and flourish. The current study aimed to adapt and validate the recently developed Strengths Use and Deficit Improvement Questionnaire (SUDIQ) in an attempt to make it suitable for educators. The general objective of this research study was to establish the psychometric properties of the SUDIQ by means of confirmatory factor analysis (CFA), convergent, discriminant and empirical validity. A cross-sectional field survey design and a convenience sample of educators from several educational institutions in the Gauteng Province (N = 502) was utilised to gather the data. CFA was used to test the factorial validity of the adapted SUDIQ scale. In order to prove convergent and discriminant validity, the relationships between the SUDIQ dimensions and similar theoretical constructs (job resources, strengths use, psychological capital, proactive behaviour and person-job fit) as well as constructs postulated to be unrelated to the SUDIQ dimensions (age and education) were determined. Finally, the relationship between the SUDIQ dimensions with vigour, dedication, emotional exhaustion and depersonalisation was determined by using multiple regression analysis. The results confirmed that the SUDIQ comprised a four-factor structure. These four factors were perceived organisational support for strengths use, perceived organisational support for deficit improvement, proactive behaviour towards strengths use and proactive behaviour towards deficits improvement. These dimensions were positively related to the scales such as the strengths use scale, autonomy, supervisor and colleague support, psychological capital, proactive behaviour, and person-job fit. Anticipated perceived organisational support for deficit improvement and proactive behaviour towards strengths use and proactive behaviour towards deficit improvement were unrelated to age. The scales were also relatively weakly related to education. Furthermore, the results revealed that perceived organisational support for strengths use, proactive behaviour towards strengths use and proactive behaviour towards deficit improvement were significant predictors of both vigour and dedication. However, it was found that the only SUDIQ dimension that predicted emotional exhaustion and depersonalisation was proactive behaviour toward strengths use. Recommendations were made to be applied in practice, as well as for future research. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2014