Frontline client service workers are central to the service elements of any small and medium enterprise. People who have much customer or client contact are seen to be subject to stronger emotional display rules. These display rules may result in compromising the psychological and/or physical health of workers, because they often lead to a disturbing dissonance between felt emotions and the emotions one must exhibit. It is, therefore, of vital importance for service workers to exhibit Emotional Intelligence, which will enable them to manage both their own emotions and their interactions with other people. Their inability to do so may result in stress as well as physical and emotional exhaustion, also known as Burnout. The objective of this research was to determine the relationship between Emotion Work, Emotional Intelligence, Well-being and Social Support of client service workers within small and medium enterprises, A cross-sectional survey design was used. An availability sample was taken from small and medium enterprises employing client service workers in the Mpumalanga Province (N = 145). The Greek Emotional Intelligence Scale (GEIS), Frankfurt Emotion Work Scales (FEWS), Utrecht Work Engagement Scale (UWES), Oldenburg Burnout Inventory (OLBI) and Social Support Scale, as well as a biographical questionnaire were used as measuring instruments. Cronbach alpha coefficients, factor analysis, inter-item correlation coefficients, Pearson product moment correlation coefficients, stepwise multiple regression analysis, and Multivariate analysis of variance (MANOVA) were used to analyse the data. Principal component analysis resulted in a one-factor solution for Engagement labelled Work Engagement, and a two factor solution for Burnout namely: Disengagement and Emotional Exhaustion. Regarding Social Support, a three factor model was extracted namely; Social Support - Co-worker, Social Support -Supervisor and Social Support - Family. A three factor model was extracted for Emotion Work namely: Emotional Dissonance, Display of Client Care and Extent of Client Interaction. A four-factor solution was extracted for Emotional Intelligence namely: Emotional Expression/Recognition, Use of Emotions to Facilitate Thinking, Control of Emotion as well as Caring and Empathy. An analysis of the data indicated that all of the correlations between the different constructs mentioned below are statistically and practically significant, Disengagement was positively related to Emotional Exhaustion and negatively related to Emotional Expression/Recognition, Emotion Use to Facilitate Thinking and Work Engagement. Emotional Exhaustion was positively related to Emotional Dissonance and negatively related to Emotional Expression/Recognition. Emotional Dissonance was positively related to Display of Client Care, while Display of Client Care was positively related to Extent of Client Interaction, as well as Caring and Empathy. Emotional Expression/Recognition was positively related to both Emotion Use to Facilitate Thinking and Work Engagement. Emotion Control was positively related to Emotion Use to Facilitate Thinking, while it in turn was positively related to Work Engagement. Finally, Social Support from Co-workers was positively related to Social Support from Supervisors and Family, and Social Support from Supervisors was positively related to Social Support from Family. A multiple regression analysis indicated that Emotion Work, Social Support and Emotional Intelligence predicted 29% of the variance in Work Engagement, 30% of the variance explained in Disengagement and 37% of the variance in Emotional Exhaustion. A multivariate analysis of variance (MANOVA) which was used to determine differences between the departmental, age, race, qualification, language and gender groups with regard to Emotion Work, Emotional Intelligence, Well-being and Burnout, indicated no statistical significant differences (p < 0,05). The results indicated a correlation between Emotional Intelligence, Emotion Work and Well-being factors. Emotional Intelligence factors predicted Work Engagement and Emotion Work predicted Emotional Exhaustion. Recommendations were made for the profession of client service work in small and medium enterprises, as well as for future research purposes. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2008.

Frontline client service workers are central to the service elements of any small and medium enterprise. People who have much customer or client contact are seen to be subject to stronger emotional display rules. These display rules may result in compromising the psychological and/or physical health of workers, because they often lead to a disturbing dissonance between felt emotions and the emotions one must exhibit. It is, therefore, of vital importance for service workers to exhibit Emotional Intelligence, which will enable them to manage both their own emotions and their interactions with other people. Their inability to do so may result in stress as well as physical and emotional exhaustion, also known as Burnout. The objective of this research was to determine the relationship between Emotion Work, Emotional Intelligence, Well-being and Social Support of client service workers within small and medium enterprises, A cross-sectional survey design was used. An availability sample was taken from small and medium enterprises employing client service workers in the Mpumalanga Province (N = 145). The Greek Emotional Intelligence Scale (GEIS), Frankfurt Emotion Work Scales (FEWS), Utrecht Work Engagement Scale (UWES), Oldenburg Burnout Inventory (OLBI) and Social Support Scale, as well as a biographical questionnaire were used as measuring instruments. Cronbach alpha coefficients, factor analysis, inter-item correlation coefficients, Pearson product moment correlation coefficients, stepwise multiple regression analysis, and Multivariate analysis of variance (MANOVA) were used to analyse the data. Principal component analysis resulted in a one-factor solution for Engagement labelled Work Engagement, and a two factor solution for Burnout namely: Disengagement and Emotional Exhaustion. Regarding Social Support, a three factor model was extracted namely; Social Support - Co-worker, Social Support -Supervisor and Social Support - Family. A three factor model was extracted for Emotion Work namely: Emotional Dissonance, Display of Client Care and Extent of Client Interaction. A four-factor solution was extracted for Emotional Intelligence namely: Emotional Expression/Recognition, Use of Emotions to Facilitate Thinking, Control of Emotion as well as Caring and Empathy. An analysis of the data indicated that all of the correlations between the different constructs mentioned below are statistically and practically significant, Disengagement was positively related to Emotional Exhaustion and negatively related to Emotional Expression/Recognition, Emotion Use to Facilitate Thinking and Work Engagement. Emotional Exhaustion was positively related to Emotional Dissonance and negatively related to Emotional Expression/Recognition. Emotional Dissonance was positively related to Display of Client Care, while Display of Client Care was positively related to Extent of Client Interaction, as well as Caring and Empathy. Emotional Expression/Recognition was positively related to both Emotion Use to Facilitate Thinking and Work Engagement. Emotion Control was positively related to Emotion Use to Facilitate Thinking, while it in turn was positively related to Work Engagement. Finally, Social Support from Co-workers was positively related to Social Support from Supervisors and Family, and Social Support from Supervisors was positively related to Social Support from Family. A multiple regression analysis indicated that Emotion Work, Social Support and Emotional Intelligence predicted 29% of the variance in Work Engagement, 30% of the variance explained in Disengagement and 37% of the variance in Emotional Exhaustion. A multivariate analysis of variance (MANOVA) which was used to determine differences between the departmental, age, race, qualification, language and gender groups with regard to Emotion Work, Emotional Intelligence, Well-being and Burnout, indicated no statistical significant differences (p < 0,05). The results indicated a correlation between Emotional Intelligence, Emotion Work and Well-being factors. Emotional Intelligence factors predicted Work Engagement and Emotion Work predicted Emotional Exhaustion. Recommendations were made for the profession of client service work in small and medium enterprises, as well as for future research purposes. / Thesis (M.A. (Industrial Psychology))--North-West University, Potchefstroom Campus, 2008.

This dissertation presents three article manuscripts investigating contemporary human resource management issues in the United States (US) federal government. Drawing on the behavioral public administration approach, the three articles hypothesize and test theoretical models using data from the US Office of Personnel Management's employee surveys. Chapter 1 introduces the motivation of this dissertation, theoretical backgrounds, and a summary of the three research studies conducted. Chapter 2 presents the first article manuscript, looking at the generational difference issue and its implications for theories and practices. Drawing on generational theories, this study empirically compares affective commitment of federal Millennials and Generation Xers. This study uses time-lag data from the 2011 Federal Employee Viewpoint Survey (FEVS) and the 2004 Federal Human Capital Survey (FHCS). The results show no statistically significant differences between the two generations in terms of their affective commitment levels and how several work experiences influence the two generations' attitude. As such, this study provides evidence to reduce generational stereotypes in the public sector. Chapter 3 draws on conservation of resources theory to address perceptions of workload in the public workplace. Using structural equation modeling method with data from the 2019 FEVS, this study finds that supervisor support can sequentially help enhance coworker support, perceived reasonable workload, and job satisfaction, while tangible job resources moderate the above relationship. This study deepens scholarly understandings and points to appropriate practical strategies to enhance employees' perceptions of reasonable workload and job satisfaction in public workplaces. Chapter 4 looks at the issue of trust in different levels of management and its effects on employees, building on the trickle effects models and job demands-resources model. Analysis of 2019 FEVS data finds that employee trust in senior leaders and direct supervisors are positively related to as well as interact with each other to influence public employees. This research also finds trust in senior leaders and direct supervisors indirectly affects extra-role behavior through psychological well-being, and that workload moderates these effects. Chapter 5 concludes this dissertation with summaries of research findings, theoretical and practical implications, research limitations, and future research directions. The quantitative empirical methods used in this dissertation contribute to a community of inquiry using diverse data and methods. / Doctor of Philosophy / This dissertation investigates issues related to managing people in the US federal government. Chapter 1 introduces the motivation of the study, lays out the theoretical background, and presents a brief summary of the three research studies conducted. Chapter 2 examines whether federal employees belonging to the Millennial generation (those born between 1982 and 1999) differ from those of the Generation X (those born between 1965 and 1981) in their affective commitment and how job experiences influence the attitude of these generations. The findings show no substantial differences between the two generations, providing evidence to reduce generational stereotypes in the public sector. Chapter 3 investigates the ways to help employees feel their workload as more reasonable and enhance their job satisfaction. It found that supervisor support can sequentially help enhance coworker support, perceived reasonable workload, and job satisfaction, while tangible job resources moderate the above relationship. As such, this study suggests appropriate management strategies to enhance employees' perceptions of reasonable workload and job satisfaction in public workplaces. Chapter 4 looks at the issue of trust in different levels of management and its effects on employees. It found that employee trust in senior leaders and direct supervisors can influence as well as enhance the effect of each other on employees. Also, trust in senior leaders and direct supervisors indirectly affects extra-role behavior through psychological well-being. Meanwhile, reasonable workload enhances the effect of trust in senior leaders on employees but decreases the effect of trust in supervisors on employees. Chapter 5 concludes this dissertation with summaries of research findings, the contributions of this dissertation, research limitations, and future research directions.