Browsing by Author "Langenhoven, Anja"

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    How job demands and resources predict burnout, engagement and intention to quit in call centres
    (Stellenbosch : Stellenbosch University, 2015-12) Langenhoven, Anja; Boonzaier, Michele; Stellenbosch University. Economic and Management Sciences. Department Industrial Psychology
    ENGLISH ABSTRACT : The industrial psychology literature related to call centres highlights the negative aspects of call centre work environments and the resultant adverse impact on workers’ well-being. Call centres have been labelled the “coal mines of the 21st century”, “assembly lines in the head” and “satanic mills” (Janse van Rensburg, Boonzaier, & Boonzaier, 2013, p. 2). High levels of stress, high staff turnover and burnout are all factors that are often experienced by call centre agents (Banks & Roodt, 2011). However, Van der Colff and Rothman (2009) report that some call centre agents, regardless of the high job demands, do not develop burnout. These agents cope better than others under highly demanding and stressful work conditions. To build on these findings, the present study took a detailed look at factors affecting the well-being of employees working in call centres. Specifically, the question was asked, “Why is there variance in work engagement, job burnout and intention to quit amongst the employees in call centres?” The job demands-resources (JD-R) model (Bakker & Demerouti, 2014) was used as a framework to investigate the well-being of call centre agents employed in the outbound departments of two branches of a Cape Town call centre. The primary objective of this study was to develop and empirically test a structural model, derived from theory, explaining the antecedents of variance in work engagement, job burnout and intention to quit amongst call centre employees. The antecedents comprise transformational leadership (as a job resource), emotional intelligence and psychological capital (as employees’ personal resources), and emotional labour (as job demands) present in a call centre environment. An ex post facto correlational design was used to test the formulated hypotheses in this research study. Quantitative data was collected from 223 call centre agents by means of non-probability convenience sampling. A self-administered hard-copy survey was distributed to the two call centre branches, given that call centre agents agreed to participate in the research study. Measuring instruments consisted of (1) the Utrecht Work Engagement Scale (UWES-17) questionnaire (Schaufeli et al., 2002), (2) the Maslach Burnout Inventory General Survey (MBI-GS) (Maslach, Schaufeli & Leiter, 2001), (3) the Turnover Intention Scale (TIS) (Ding & Lin, 2006; Lee, 2000), (4) the Emotional Demands and Emotion-rule Dissonance scales (Xanthopoulou, Bakker, & Fischbach, 2013), (5) the adapted Multifactor Leadership Questionnaire (MLQ 5x short) (Van Aswegen & Engelbrecht, 2009), (6) the Genos Emotional Intelligence Inventory (Gignac, 2010) and (7) the Psychological Capital Questionnaire (Luthans, Avolio, Avey, & Norman, 2007). The data was analysed using item analyses and structural equation modelling (SEM). A PLS path analysis was conducted to determine the model fit. From the 21 hypotheses formulated in the study, six were found to be significant. It is noteworthy, however, that 12 of the non-significant paths were related to the moderating effects. Hypotheses 1, 3 and 8 were also found to be not significant. However, hypotheses 2, 4, 5, 6, 7 and 9 were all found to be statistically significant and therefore supported the JD-R theory (Bakker & Demerouti, 2014), which postulates that job demands are generally the most important predictors of job burnout, whereas job resources and personal resources are generally the most important predictors of work engagement. Also, it was found that call centre agents experiencing a high level of work engagement were less inclined to leave the organisation. The study’s findings shed light on the importance of developing interventions that can foster job and personal resources in the pursuit of optimising work engagement. In addition, the call centre agents can be bolstered in coping with existing job demands and cumulatively this also results in a decrease in the employees’ level of burnout and in their intention to leave the company.